my dissertation (PhD. Thesis) - Argelander
Transcription
my dissertation (PhD. Thesis) - Argelander
K INEMATICS AND POPULATION MEMBERSHIP OF BHB AND EHB STARS Dissertation zur Erlangung des Doktorgrades (Dr. rer. nat.) der Mathematisch-Naturwissenschaftlichen Fakultät der Rheinischen Friedrich-Wilhelms-Universität Bonn vorgelegt von M ARTIN A LTMANN aus Pretoria/Südafrika Bonn 2002 Für meine Mutter Maria Altmann, die mir mit ihrer Unterstützung diese Arbeit erst ermöglicht hat. Angefertigt mit Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultät der Rheinischen Friedrich-Wilhelms-Universität Bonn 1. Referent: 2. Referent: Prof. Dr. K. S. de Boer Prof. Dr. W. Seggewiß Tag der Promotion: 28. November 2002 C ONTENTS 1 An Introduction to the structure of the Galaxy and the role of HB stars in Galactic research 1 1.1 The study of Galactic structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1.1 Motivation: Why do we study the structure and evolution of galaxies? . . . . 1 1.1.2 Characteristics of the components of the Milky Way . . . . . . . . . . . . . 4 1.1.3 Studies of Galactic structure . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.1.3.1 Star counts and scale heights . . . . . . . . . . . . . . . . . . . . 6 1.1.3.2 Kinematical studies . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.2 1.3 Horizontal Branch Stars, and their role as tracer tools in studies of Galactic structure 7 1.2.1 Physical aspects of HB stars, typology, evolutionary status . . . . . . . . . . 7 1.2.2 Are HB stars good tracers for studies of Galactic structure? . . . . . . . . . . 10 Short overview of the structure of this study and previous results . . . . . . . . . . . 12 1.3.1 Previous Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.3.2 Overview of the structure of this work . . . . . . . . . . . . . . . . . . . . . 12 2 Data and data reduction 15 2.1 The sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.2 Obtaining the data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.2.1 Spectroscopic data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 2.2.2 Astrometric and photometric data . . . . . . . . . . . . . . . . . . . . . . . 16 Data reduction and analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.3.1 Spectroscopy: Deriving radial velocities, log g and Teff . . . . . . . . . . . . 17 2.3.2 Photometry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.3.3 Astrometry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 2.3.3.1 2nd epoch material: . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.3.3.2 Reference catalogues: . . . . . . . . . . . . . . . . . . . . . . . . 25 2.3.3.3 Reduction: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.3.3.4 Calibration: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 The final sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 2.3 2.4 iii CONTENTS 3 Kinematical trends among the field horizontal branch stars 37 3.1 Introduction: HB-stars, their population membership and the galactic structure . . . . 37 3.2 The data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 3.2.1 Composition of the sample . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 3.2.2 Physical properties of the stars, extinction . . . . . . . . . . . . . . . . . . . 41 3.2.3 Absolute magnitudes and distances . . . . . . . . . . . . . . . . . . . . . . 41 3.2.4 Proper motions and positions . . . . . . . . . . . . . . . . . . . . . . . . . . 43 3.2.5 Radial velocities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 Kinematics and orbits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 3.3.1 Calculating orbits and velocities . . . . . . . . . . . . . . . . . . . . . . . . 45 3.3.2 Morphology of the orbits . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 3.3.3 Velocity components and dispersions . . . . . . . . . . . . . . . . . . . . . 47 3.3.4 Kinematics of sdB/O stars . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 3.3.5 Trend of kinematics along the HB? . . . . . . . . . . . . . . . . . . . . . . 49 RR Lyrae stars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 3.4.1 A sample of RR Lyrae stars from the literature . . . . . . . . . . . . . . . . 49 3.4.2 RR-Lyrae kinematics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 3.5 Selection effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 3.6 Discussion: trends and population membership . . . . . . . . . . . . . . . . . . . . 52 3.6.1 Overall trends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 3.6.2 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 3.6.3 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 3.3 3.4 4 Kinematics and population membership of sdB stars 55 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 4.1.1 The sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 4.1.1.1 Selection effects due to sample composition? . . . . . . . . . . . . 56 Kinematics and orbits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 4.2.1 Calculating velocities and orbits . . . . . . . . . . . . . . . . . . . . . . . . 57 4.2.1.1 Errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Analysis of the velocities and velocity dispersions . . . . . . . . . . . . . . 65 4.2.2.1 Analysis of the velocities and dispersions of “pure” samples . . . . 65 The orbits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 4.2.3.1 Orbit morphology . . . . . . . . . . . . . . . . . . . . . . . . . . 72 4.2.3.2 Analysis of the the kinematics over the whole orbits . . . . . . . . 73 4.2.4 Notes on individual stars . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 4.2.5 Selection effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 4.2 4.2.2 4.2.3 iv CONTENTS 4.3 4.4 4.5 5 7 80 4.3.1 z-probability plot and scale height . . . . . . . . . . . . . . . . . . . . . . . 80 4.3.2 Effects of Errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 4.3.3 Scale height and galactocentric distance . . . . . . . . . . . . . . . . . . . . 81 4.3.4 Robustness of the scale heights, separating the different populations . . . . . 83 4.3.5 Midplane number ratio of the two components found . . . . . . . . . . . . . 84 4.3.6 Constraining the Thin Disk component . . . . . . . . . . . . . . . . . . . . 84 4.3.7 Discussion of results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86 Discussion: kinematics and the population membership of sdB stars . . . . . . . . . 87 4.4.1 The Disk . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 4.4.2 The Halo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 4.4.3 Aspects of the stellar evolution history of sdB stars . . . . . . . . . . . . . . 88 Summary & Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 The Kinematics of HBB stars 91 5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 5.2 Sample composition and data reduction . . . . . . . . . . . . . . . . . . . . . . . . 92 5.2.1 Selection effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 Kinematics and Orbits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 5.3.1 Velocities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 5.3.2 Orbits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 5.4 The vertical probability distribution and the scaleheight . . . . . . . . . . . . . . . . 95 5.5 Discussion & conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 5.3 6 Determining a scale height for the stars using their orbits . . . . . . . . . . . . . . . Discussion of the results 101 6.1 The kinematic trend revisited . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 6.2 The populations of the Milky Way . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 6.2.1 The Thin and Thick Disk . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 6.2.2 The Halo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 6.2.3 Bulge and Bar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 6.2.3.1 BHB stars in the Galactic Bulge – or do they belong to the Halo? . 112 6.2.3.2 Disturbance of the Thick Disk by the presence of a Galactic bar? . 112 6.2.4 Moving groups and stellar streams . . . . . . . . . . . . . . . . . . . . . . . 114 6.2.5 Relationships of the components, evolution of our Galaxy . . . . . . . . . . 116 Outlook 119 7.1 Further steps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 7.2 The future: DIVA and GAIA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 v CONTENTS 7.3 Epilogue . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 A Correcting large gradients with combined dawn/night sky flat field exposures 125 B Data of the stars of the equatorial field 127 C Variables and Definitions used in this study 131 C.1 Photometric quantities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 C.2 Stellar physical quantities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 C.3 Spatial and kinematic quantities . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132 C.3.1 Observed quantities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132 C.3.2 Spatial quantities and velocities . . . . . . . . . . . . . . . . . . . . . . . . 132 C.3.3 Morphological parameters of the orbits . . . . . . . . . . . . . . . . . . . . 134 C.3.4 Scaleheights and Densities . . . . . . . . . . . . . . . . . . . . . . . . . . . 134 D List of abbreviations 137 Bibliography 141 Zusammenfassung (Summary in German) 149 Curriculum vitae 154 Lebenslauf (Curriculum vitae in German) 155 Acknowledgements 156 vi L IST OF F IGURES 1.1 The Hercules galaxy cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 NGC 2997 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 M 51 (NGC 5194)/NGC 5195 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.4 M 83 (NGC 5236) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.5 NGC 4565 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.6 M 15 (NGC 7078) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.7 Sample spectra of an HBA and sdB star . . . . . . . . . . . . . . . . . . . . . . . . 8 2.1 Typical example of a line fit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.2 Two colour diagram of the HE-stars . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.3 Separating stars and galaxies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 2.4 Vector point plot diagram of the measured proper motions of faint background galaxies 29 3.1 CMD of the stars of our sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 3.2 Orbits of the HBA/HBB stars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 3.3 Kinematic trend of stars along the field horizontal branch . . . . . . . . . . . . . . . 48 3.4 Histogram showing the distribution of orbital velocities . . . . . . . . . . . . . . . . 50 4.1 Current distribution of the stars of our sample and 100 Myr ago . . . . . . . . . . . . 57 4.2 Histogram of the orbital velocities . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 4.3 Toomre diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 4.4 Bottlinger and Θ − W diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 4.5 The orbits of our stars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 4.6 Histograms of ecc and nze . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 4.7 Plots of Θ against ecc and log nze . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 4.8 Diagram of Θ against the total kinetic energy . . . . . . . . . . . . . . . . . . . . . 75 4.9 Histogram of the z distance-statistics of all the stars . . . . . . . . . . . . . . . . . . 82 5.1 Histogram of the orbital velocities . . . . . . . . . . . . . . . . . . . . . . . . . . . 96 5.2 Toomre diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96 5.3 Bottlinger and Θ − W diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96 vii LIST OF FIGURES 5.4 The orbits of all 20 stars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 5.5 Histograms showing the distribution of ecc and nze . . . . . . . . . . . . . . . . . . 98 5.6 Histogram of the z distance-statistics of the 19 HBB stars . . . . . . . . . . . . . . . 98 6.1 The kinematic trend of stars along the HB revisited . . . . . . . . . . . . . . . . . . 102 6.2 Histogram of Θ of all stars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 6.3 Bottlinger and Θ − W diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 6.4 Toomre diagram of all stars . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 6.5 Diagram of Θ against total kinetic energy of all stars . . . . . . . . . . . . . . . . . 104 6.6 Parameters of the stars of Peterson et al. (2001) . . . . . . . . . . . . . . . . . . . . 111 6.7 3D plots of the orbits of HE 0516-2311 & HE 0521-3914 . . . . . . . . . . . . . . . 115 7.1 The DIVA satellite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 7.2 The GAIA satellite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 7.3 sdB orbits superimposed on NGC 4565 . . . . . . . . . . . . . . . . . . . . . . . . 123 C.1 Spatial and velocity coordinates . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133 viii L IST OF TABLES 2.1 Photometric data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 2.2 Comparison of magnitudes obtained on the 2.10.2000 with magnitudes from the HEcatalogue (which corresponds to the B magnitude) and other sources in literature (passband of literature value is in parentheses). Close neighbours affect the bjdss magnitudes: such stars have been marked in column “remarks”. . . . . . . . . . . . 23 2.3 Proper motions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.4 The spatial and kinematic data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3.1 Physical properties of our sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 3.2 Spatial and kinematical data of our sample . . . . . . . . . . . . . . . . . . . . . . . 40 3.3 Orbital and kinematical characteristics . . . . . . . . . . . . . . . . . . . . . . . . . 43 3.4 Mean velocities and orbital parameters . . . . . . . . . . . . . . . . . . . . . . . . . 46 4.1 Positions, velocities and morphological data of all stars . . . . . . . . . . . . . . . . 59 4.2 Mean velocities, morphological quantities and their dispersions . . . . . . . . . . . . 63 4.3 Compilation of our results for the scale heights and mid plane densities . . . . . . . 85 5.1 Spatial and kinetic parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 5.2 Mean velocities and morphological quantities and their dispersions . . . . . . . . . . 94 6.1 Compendium of published scale heights and initial densities . . . . . . . . . . . . . 108 B.1 Data of stars in the equatorial field . . . . . . . . . . . . . . . . . . . . . . . . . . . 128 ix LIST OF TABLES x C HAPTER 1 A N I NTRODUCTION TO THE STRUCTURE OF THE G ALAXY AND THE ROLE OF HB STARS IN G ALACTIC RESEARCH 1.1 1.1.1 T HE STUDY OF G ALACTIC STRUCTURE M OTIVATION : W HY DO WE STUDY THE STRUCTURE AND EVOLUTION OF GALAX IES ? Galaxies are among the premier building blocks of the structure of matter distribution in the universe. Moreover they are the sites of the formation of stars such as our Sun. Therefore knowledge about their morphology and evolutionary history is of utmost importance for the understanding of the structure formation process in the universe and hence the process which in the end leads to the birth of stars like the Sun and eventually to the development of life on Earth. To gain access to information about galaxies one has an enormous amount of objects at hand, galaxies of all sizes and distances ranging from our “backyard”, namely the Milky Way itself and the Local Group to galaxies at a redshift of z ' 11 and higher. Each approach can deliver different information and has its advantages and disadvantages. In the following, I briefly describe what can be learned by research conducted on galaxies at various distances. • Galaxies at cosmological distances may show us how they are actually forming and how early stages of galaxies looked like long (several Gigayear) ago. However these objects are very far away, and thus appear very small and faint, so that observational constrictions blur the picture severely. Thusfar only minor evolutionary changes have been found by looking into the distant past (see e.g. the review by Abraham & van den Bergh 2001). • Galaxies at large “non-cosmological” distances (∼100 Mpc to ∼1000 Mpc) give us information about the large scale distribution of these objects as we have a vast number in a large volume at our disposal. They are clearly brighter than those at larger distances, can therefore be accessed with more moderate efforts and are reachable with wide field surveys such as the Sloan Digital Sky Survey (SDSS, Kent 1994; Bahcall 1995). For this reason such objects are ideally suited for studies of clustering of galaxies (a typical example of a galaxy cluster is shown on Figure 1.1), 1 z = 1 corresponds approximately to the magnitude and resolution limit of such studies. 1 Figure 1.1: The Hercules galaxy cluster: A laboratory for galaxy studies (1 m Cassegrain + Focal Reducer + HoLiCam, Observatory Hoher List (O.H.L)). Figure 1.4: M 83 (NGC 5236): A barred galaxy; Our Milky way is also known to have a small bar (ESO-La Silla, 1.54 m + DFOSC). Figure 1.2: NGC 2997: A typical spiral galaxy seen face on (ESO-LS). Figure 1.5: NGC 4565: An edge-on spiral galaxy, showing its disk (O.H.L.). Figure 1.3: M 51 (NGC 5194)/NGC 5195: An example of a “grand design” spiral with some interaction with its companion (O.H.L). Figure 1.6: Globular clusters like M 15 (NGC 7078) are amongst the most important objects for studies of Galactic structure and horizontal branch stars (O.H.L.). 1.1. The study of Galactic structure evolution of galaxies within galaxy clusters (which is shown to be somewhat different than that of single galaxies) and the overall arrangement of galaxies and galaxy clusters in the universe. However, for such far away stellar systems, detailed studies of the morphologies of individual objects are very difficult, if not impossible, with current technology. • Nearby galaxies provide us with detailed morphological information, such as the examples shown in Figures 1.2, 1.3, 1.4 and 1.5; we can study their shapes, sizes, types etc. using many observational strategies and techniques. We can study interactions and companions (see Figure 1.3) and many other aspects and characteristics such as spiral arms (see Figures 1.2 and 1.3) and bars (Figure 1.4) using these nearby galaxies. In fact most of our knowledge about galaxies came from these objects located just outside our Local Group. Of course the further away these objects are the fewer details are accessible. • The same applies more or less to the members of our Local Group (LG) of Galaxies. As they are even nearer to the Milky Way than other galaxies, more and more information becomes reachable, more detailed studies of stellar populations are feasible. On the other hand the number and hence the types of galaxies in the Local Group are very limited, so some very interesting types of galaxies are not found in the Local Group. • The Magellanic clouds (MCs) and some other nearby dwarf galaxies can be studied in even greater detail than the other galaxies of the Local Group; This means that very detailed studies of stellar populations are possible. In the near future we will even have access to their transversal velocities which we do not have for other galaxies (and cannot hope to obtain at least in the foreseeable future). One problematic aspect when contemplating using the MCs as test objects is that they are only two objects, so we do not gain much knowledge about the wealth of other galaxy types. • The galaxy which can be studied in greatest detail is our Milky Way (MW). Here even properties of relatively faint stars can be analysed. We have access to many substructures such as the different populations, and aggregates like open and globular clusters (see Figure 1.6) and OB associations, which provide us with a wealth of information since they consist of stars of common origin. Looking at nearby stars, we can study their kinetic behaviour in very great detail, which means we can to a certain extent see how the galaxy actually moves internally, how it rotates, and how different parts relate to each other. In addition, the history of metal enrichment can be studied closely, leading to a better understanding of how galaxies evolve. Actually the MW is the only galaxy that we can study in three dimensions. The older populations of stars in the Milky Way may give us insight into how the Galaxy formed and evolved. Evidence of past events such as collisions and merging events of smaller stellar aggregates (like dwarf galaxies) with the MW can be found by studying kinematics of stars or gas (One example for this is the discovery of the Sagittarius Dwarf Irregular Galaxy (see e.g. Ibata et al. 1994). Therefore such enterprises add essential evidence e.g. to results coming from studies of galaxies at high z. Thus, old stars serve as “tracer fossils” for Galactic evolution in general. Of course one of the problems present in studies of the MW is that it is one individual galaxy. Our Galaxy may be a typical example of spiral galaxies as a whole, but certainly has many unique properties. Therefore only looking at the MW to understand galaxies or even spiral galaxies will lead to false conclusions, just like trying to make a judgement of all people by just looking at one individual. Furthermore because we are inside the MW, the overall structure is 3 1. I NTRODUCTION TO HB STARS AND THE STRUCTURE OF THE G ALAXY hidden, gaining information about this is tedious and difficult and may easily lead to misinterpretations. However, overall, studies of the structure of the Milky Way provide many valuable aspects of structure and evolution of galaxies on the whole; these studies are therefore very important and should be carried out as intensively as possible. Far away galaxies, nearby galaxies, the Local group – “groups” of objects suited to different kinds of research which are, from the observers point of view, not sharply defined; the transitions between them are fluent. For instance, much of what is said about galaxies of the Local Group (LG) also applies to the nearest galaxies just beyond the borders of the LG. Furthermore every new generation of telescopes extends the range in distance in which a certain observing strategy is possible, but then again other more sophisticated methods become available for the nearer objects. Many new aspects found by looking at one of the groups of objects can help solve problems arising from another, e.g. the idea that Disk galaxies are in fact spirals was first seen in the photographs of bright nearby galaxies and then it was proposed that the MW might also be a spiral which then lead to efforts to find these spiral arms. Another example is the Thick Disk which was first found as an overabundance of certain stars in star counts in the MW, and later as an extra slope in the decrease of light moving vertical from the plane of some local edge-on galaxies similar to NGC 4565 shown in Figure 1.5 (see e.g. de Grijs & Peletier 1997). These examples show that while it is certainly not possible to contribute to every aspect of galaxy research, interdisciplinary interaction in this field is essential. The study presented here focuses on aspects concerning the Milky Way and its populations, mainly the Disk(s) and the Halo. Like many attempts before, we study the distribution of stars perpendicular to the Galactic plane. This is an almost classical method and will be briefly described in Section 1.1.3. But before starting off we will first describe the components of the Milky Way (Section 1.1.2). Section 1.2 gives an introduction to the stars we use for study, the stars of the blue (BHB) and extreme (or extended, EHB) horizontal branch. Section 1.3 gives a brief overview of this work and previous results from preceding studies. 1.1.2 C HARACTERISTICS OF THE COMPONENTS OF THE M ILKY WAY Classically, the stellar component of the Galaxy can be divided into four populations, namely the Thin Disk, the Thick Disk (which is also known as the Intermediate Population II (IPII)) the Halo, and finally the Bulge and the Bar, forming the inner part of our Galaxy. The Thin Disk is the population which is associated with star formation and thus with the gas disk. The density of this component at the Galactic plane is very high, with over 90% of the local stars (including the Sun) being part of the Thin Disk. It has a small scale height of about 100-300 pc depending on the type of stars used to derive the scale height, with the lower values being for mass rich and thus short-lived stars. The lower the (initial) mass of the stars examined and therefore the higher their age spread the higher the scale height is (see Elvius (1965) for a detailed account on Thin Disk scale heights). The velocity dispersions range between ∼ 15 km s−1 and 30 km s−1 . As our stars are evolved low mass stars, the interesting part of the Thin Disk is the older part, also dubbed Old (Thin) Disk. The HB stars studied here are late evolutionary stages of stars with masses of less than ∼ 2 M , which means that some of them are only about 1 Gyr old and would for this reason belong to the younger Thin Disk population. However these objects can be neglected when compared to the far more numerous less massive stars so that the vast majority of the stars of our sample belonging to the Thin Disk can be considered to be part of the oldest group. 4 1.1. The study of Galactic structure Therefore in our context, the Thin Disk has a scale height of ∼300 pc and velocity dispersion of 30 km s−1 . The mean orbital velocity is in the order of 210 km s−1 . The second component with a disk-like structure is the Thick Disk, introduced by Gilmore & Reid (1983). The need for another disk component has arisen because star count results were better reproduced by having a second exponential distribution with a scale height of about one kiloparsec. Furthermore, studies of the light distribution perpendicular to the planes of other edge-on spiral galaxies show an increase in scale height further away from their planes (see e.g. de Grijs & Peletier 1997). This component is also called Intermediate Population II (IPII, Majewski 1993). In our context, the Thick Disk has a scale height of ∼1 kpc, a mean velocity of ∼175 km s−1 and a dispersion of ∼50 km s−1 . The kinematic behaviour of the Thick Disk is hotter than that of the Thin Disk, meaning that the velocity dispersions are higher (∼ 50 km s−1 ) and the orbits of thick disk stars are more eccentric and reach larger distances from the Galactic plane, resulting in the larger scale height. Furthermore this population features an asymmetric drift of 40-50 km s−1 , meaning that the stars lag that amount behind the orbital velocity of the Local Standard of Rest (LSR). The maximal density is about 2-5% of that of the Thin Disk. Metallicities are intermediate, with a low metallicity tail. The third part of the Galaxy is the Halo. In contrast to the previous two populations, which have a disk-like mass distribution, this component is a spheroid or an ellipsoid. Therefore any measured scale height is a lot larger that that of the parts described previously (Note however, that while the disks can be described with an exponential z-distribution, this does not really apply for the Halo as in this case we are looking from an off centre position into a sphere). The stellar density declines radially, probably with a power law such as with R1/4 . Although the z-distribution of the halo stars is not exponential, one may fit an exponential to roughly characterise the z-distribution. In our context, the Halo is a population with slow rotation (Θ ∼20 km s−1 ) but high velocity dispersions of more than ∼ 100 km s−1 and a very flat z-distribution (large scale height). The Halo rotates only slowly, if at all, and there is a retrograde subgroup belonging to this population. The rotational velocity of the Halo is small, its velocity dispersions are very large, in the order of 100 km s−1 and more. The stellar orbits are mostly very elliptic and can reach high distances above the Galactic plane. The density of the Halo is small, less than 10% of that of the Thick Disk. As in the case of the Thick Disk the stellar population is old, as it lacks bright, hot, short-lived main-sequence stars. Generally the Halo stars have low metallicities. Finally there is the Bulge. The bulge is when seen from the outside, its most prominent part. In contrast to this the Galactic Bulge is not easy to access due to the huge amount of obscuring material in the direction towards the Galactic centre. Nevertheless there are a few regions, the most well known of these being Baade’s Window, where the obscuration by interstellar dust is small. From these we have gained most knowledge we have about the Milky Way’s Bulge. The stars seem to have a large distribution in metallicity, with a relatively high mean value of [Fe/H]=−0.25. Studies of the kinematics show that the ensemble of Bulge stars shows a significant net rotation (see e.g. Minniti et al. 1992; Minniti 1996; Tiede & Terndrup 1999). Peterson et al. (2001) claim to have found a number of hot HB stars in the Bulge. In recent times it became more and more clear that our Galaxy contains a small Bar. This Bar may have some influence on the kinematics of stars near the solar circle, i.e. those which we can observe and are dealt with in this work. These express themselves in non zero values for mean Φ or W velocities, meaning net movements of stars of the solar vicinity into a certain direction as described in Fux (2001). 5 1. I NTRODUCTION TO HB STARS AND THE STRUCTURE OF THE G ALAXY Apart from the two points mentioned above this population plays almost no role in our study and is therefore not discussed further. For a detailed description of the Galaxy’s components and populations, see e.g. Freeman (1987), Majewski (1993) or Binney & Merrifield (1998). 1.1.3 S TUDIES OF G ALACTIC STRUCTURE As described in the previous section a vital aspect for the understanding of structure and evolution of our Galaxy and thus of galaxies in general is the study of older stars (assuming that our galaxy is a typical spiral galaxy with no or only small peculiarities). In this section some of the strategies and methods to accomplish such investigations are briefly described. 1.1.3.1 S TAR COUNTS AND SCALE HEIGHTS Star counts and other attempts to derive the vertical structure of the Galactic Disk have been conducted for a long time. For a review of results obtained in the 1930s to 1950s mainly for the Thin Disk, see Elvius (1965). In more recent times these studies were continued mostly with more elaborate methods reaching to fainter and fainter magnitudes but being still in principle done the classical way such as the study by Bahcall & Soneira (1984). Today there are basically two approaches to study the distribution of stars in the Milky Way. One is to conduct a star count over all stars in fields at different Galactic latitudes such as carried out by Reid & Majewski (1993). Fitting models accounting for luminosity class, metallicity, completeness, distributions and number densities of populations etc. to the raw results then leads to scale heights and densities of stars belonging to different Galactic populations. With this method one obtains results relying on a very large number of stars, which also means the statistical errors are small. On the downside, these studies heavily rely on models, introducing uncertainties caused by possibly poorly known input parameters, whose magnitudes can not be estimated in many cases. Moreover, because most of the stars at high Galactic latitudes are stars of the lower main-sequence which are intrinsically faint, such star counts are often limited in range. Therefore many studies use a second way, namely to use a certain well defined star type as a tracer rather than all available stars. In most cases these tracers are evolved stars, which, while being relatively rare, are bright so that studies using them extend deeper into the galaxy. Widely used objects are giants and horizontal branch (HB) stars (especially RR-Lyraes, because they are as variables very easily identified). Nowadays, deep surveys enable studies using very low mass main-sequence stars as tracers as well (Phleps et al. 2000). A list of results of scale height determinations is presented in Table 6.1. 1.1.3.2 K INEMATICAL STUDIES Studies of the spatial distribution of a sample of stars give important insights into the general structure of the Galaxy, e.g. revealing various populations of stars. Adding kinematic data gives us access to the motions of the stars forming these groups. Stars belonging to different populations show widely differing kinematic behaviour. Some components of the Milky Way are rapidly rotating with little dispersion in the velocities of the members while others show only little net rotation but high dispersions. These differences between the populations give us evidence of how these parts of the Galaxy are formed. Such studies have been conducted for quite a variety of different object types, such as high 6 1.2. Horizontal Branch Stars, and their role as tracer tools in studies of Galactic structure proper motion stars (Carney et al. 1996), local dwarfs (Schuster & Allen 1997) or globular clusters (Dinescu et al. 1997, 1999a,b). The kinematics of sdB stars have been studied by Colin et al. (1994), Thejll et al. (1997) and de Boer et al. (1997a). If a certain discrete group of stars is selected for a study of their kinematics one should be very aware of possible selection effects. For instance, many stars were found because they are peculiar in one way or another, such as being metal-poor or high proper motion stars. If certain types of stars, such as our field blue horizontal branch stars (see. Chapter 3), have this peculiarity as the sole finding criterium this may introduce quite severe selection effects. Others, such as RR Lyraes, (identified by their variability) and sdB stars, (which are found by their colour and identified by their quite unique physical parameters), do not suffer from selection effects to such an extent. As the selection effects of the samples dealt with in this work are of quite different nature, they are discussed under the relevant chapters (Chapters 3, 4 and 5). Some studies only rely on partial knowledge about the kinematics, i.e. using only radial velocities, as done by Kinman et al. (1994, 1996) or only proper motions. However in these cases one only has part of the story, and must therefore be very careful with interpretations, or use methods, such as field selection (e.g. in a field located at one of the Galactic poles the orbital velocity (Θ) is almost completely the transversal velocity (i.e. the proper motions) and the velocity perpendicular to the plane is represented by the radial velocity) or statistical approaches. In addition, studying the kinematics of stars gives us information about a larger section of the Galaxy than that in which the objects are currently located. The reason for this is that stars which are now near the Sun were often far away from the Sun in the past and will venture away from the Sun in the future (see Sect. 4.1.1.1). By including their trajectories one can study the distribution of a group of stars to much larger distances than the distance limit of the sample; this has e.g. been done by de Boer et al. (1997a) for a sample of sdB stars. However there can be selection effects due to the sample composition, if there is an upper brightness (i.e. lower distance) limit or if nearby stars are underrepresented. In this case, stars with tight orbits reaching not as far as the minimum distance of the sample are missed. This type of selection effect and its possible effects on our sample is described in detail in Section 4.1.1.1. 1.2 H ORIZONTAL B RANCH S TARS , AND THEIR ROLE AS TRACER TOOLS IN STUDIES OF G ALACTIC STRUCTURE Horizontal Branch stars are particularly suitable for studying the Galactic structure because they have spectra that can be analysed with relatively simple methods (see Figure 1.7). Furthermore, as their spectra are quite unique for stars at high Galactic latitude (unfortunately this does not apply to HBB stars which have spectra and surface gravities very similar to late B-main-sequence stars), there are no other objects they can be easily confused with. But before starting off, we outline their physics, and evolution and discuss the points which make HB stars good tracers and which points are rather adverse. 1.2.1 P HYSICAL ASPECTS OF HB STARS , TYPOLOGY, EVOLUTIONARY STATUS Horizontal Branch stars have Helium burning cores and they represent the evolutionary stage after the (first) red giant (RGB) phase. Their appearance depends on the mass of the Hydrogen envelope they retain after the mass loss during the RGB evolution. In contrast to the mass of the envelope which 7 1. I NTRODUCTION TO HB STARS AND THE STRUCTURE OF THE G ALAXY Figure 1.7: Two spectra of typical examples of HB stars. HS 0702+6043 is a (variable) sdB star, HS 2300+0451 an HBA. The typical lines in the spectra of these stars can clearly be seen and are indicated along with their wavelengths. The spectra were taken at the 2.2 m telescope at Calar Alto observatory using the CAFOS spectrograph in Nov. 2000 has a large range in mass along the HB, the mass of the He core is relatively constant over all types, having a mass of about 0.5 M . They can be divided into several groups: • the Red HB Stars (RHB) which are all HB stars cooler than the instability strip. • the RR-Lyrae stars (RR, RR-Lyr), named after the prototype, which are variable stars of intermediate temperature and colour, located in the HRD in the instability strip. • the Blue HB Stars (BHB) which are bluewards of the RR-Lyraes. Temperatures range from about 7500 K to 20,000 K. This group is subdivided into HBA (Teff < ∼ 10, 000 K) and HBB > stars (Teff ∼ 10, 000 K), the limit corresponding to the limit between A and B spectral class. 8 1.2. Horizontal Branch Stars, and their role as tracer tools in studies of Galactic structure The main-sequence crosses this region in the HRD in the HBB region. • the Extended or Extreme HB stars (EHB) which are the hotter extension of the HB. Because these stars lie below the MS in the HRD, they are referred to as hot subdwarfs2 . This group is subdivided into sdB (20, 000 ≥Teff <∼ 32, 000 K), sdOB (∼ 32, 000 <Teff < 40, 000 K) and sdO stars (40, 000 <Teff < 70, 000 K) depending on their temperature, and strength of HeI and HeII lines in their spectrum (for rules of spectral typing see de Boer et al. 1997c). The sdO stars are probably not (all) genuine HB-stars but present a later (post-EHB) stage of stellar evolution (Groth et al. 1985) such as AGB-Manque stars (evolved HBB & sdB/OB stars) or post AGB stars during cooling down to become white dwarfs. Red HB stars (RHB) have a H envelope mass of up to 0.5 M , RR Lyrae stars about 0.1 - 0.2 M , BHB stars yet less. Stars of the extreme horizontal branch (EHB) only have a very thin H envelope of less than 0.02 M . Because the least massive stars which since the first appearance of stars could possibly have evolved to HB stars have a mass in the order of 0.9 M , the bluer HB-stars in particular must have undergone significant mass loss during their RGB phase, losing up to 40% of their initial mass and almost all of their non-processed material. The issue of what leads to this large mass loss in some stars but not in others is still under debate, as is the question whether this mass loss only caused by stellar winds of varying strength or also due to mass exchange between components of a binary system (see e.g. Iben & Tutukov 1987; D’Cruz et al. 1996; Brown et al. 2001) – in principle: which star turns into which kind of HB star? Unfortunately this problem is not easy to solve. Studies of horizontal branches are mostly conducted in globular clusters (GCs, such as M 15, see Figure 1.6), which are (apart from external (dwarf) galaxies, which are fainter and less easy to observe) the only places where a complete older stellar population can be studied, because their stars are of the same origin. These studies show that there is no simple relationship between any of the usual parameters used to describe stars of different origin, such as metallicity, age, rotational velocity etc., and the morphology of the HB. Metallicity clearly has an influence on the shape of the HB (i.e. how HB stars are distributed along the HB), with the more metal-rich globulars having rather red HBs and metal-poor GCs having blue HBs. However this is not always the case. Moreover, objects with very similar metallicity can have completely different HB morphologies, such as the pair NGC 288 ([Fe/H]=−1.40 (Zinn & West 1984), blue HB) and NGC 362 ([Fe/H]=−1.27 (Zinn & West 1984), red HB) as pointed out by Bolte (1989). Therefore another parameter in addition to metallicity must be in play. This is referred to in literature as the 2nd parameter problem. Age has been suspected to be another parameter causing the so very different appearance of horizontal branches of GCs. The analysis of Bolte (1989) indeed leads to the result that the ages of NGC 288 and NGC 362 differ by several Gyr, a result which has been qualitatively confirmed by more recent work such as Bellazzini et al. (2001) but is not without difficulties as pointed out by Catelan et al. (2001). However, other authors such as Vandenberg & Durrell (1990) question this and come to the conclusion that age is probably not the 2nd parameter influencing the formation of HB stars. Therefore the debate which parameter(s) influence the shape of HBs of globular clusters is still going on. HB stars in the field can of course not be analysed this way, because they are single objects and it is generally not wise to consider them as being coeval as those in a cluster. Presumably they are 2 not to be confused with Pop. II (metal-poor) main-sequence stars which are also called “(red) subdwarfs” because the metal-poor MS lies below the MS of solar metallicity in the HRD. In contrast to the hot sd-stars these are rather cool, because they are less massive than the Sun. 9 1. I NTRODUCTION TO HB STARS AND THE STRUCTURE OF THE G ALAXY however also subject to the 2nd parameter problem, which would cause them to be distributed over all populations, metallicities, and ages in a similar manner as the HBs in clusters. And the same problem, of what causes the mass loss and what determines the amount of mass lost, persists for the field HB stars (also called FHB stars) as well. Here the question is: how do stars lose so much mass that they become EHB stars? There are several hypotheses on the market. Quite old is the theory that EHB stars are the result of mass transfer in close binary systems (Iben & Tutukov 1987). Indeed many sdB stars have been found in recent times to have variable radial velocities, in some cases having periods of only a few hours, which indicates close binarity (see e.g. Maxted et al. 2001). Most of these variable radial velocity stars do not show any signs of binarity in their spectra such as excess flux in the red, which means that the secondary component must be very faint, such as a white dwarf or a M-type main-sequence star. On the other hand, most of the binaries, which reveal themselves in their spectra, do not show the short periodic variations in radial velocity. Still others show neither. This means that binarity can be a cause of sdB formation, but might not be the only one. Other studies prefer single star evolution. D’Cruz et al. (1996) have developed a scenario in which some stars have stronger stellar winds in their RGB phase than others (which means greater mass loss) and thus leave the giant branch prematurely, a phenomenon they call “peel off” theory. A study by Brown et al. (2001) of EHB stars in the globular cluster NGC 2808, lead the authors to the conclusion that some of the sdB stars in that cluster are in fact reborn stars, being prior to their sdB stage on the white dwarf cooling track and then experiencing a late Helium flash. This means that there could be several channels leading to the formation of sdB stars. The HBA stars known in the field are more or less all metal-poor, metallicities ranging between −2.2 dex and about −1 dex (Adelman & Hill 1987; Adelman & Philip 1990, 1992, 1994, 1996; Kinman et al. 2000), while RR-Lyraes span a wider range of metallicities (Martin & Morrison 1998; Layden 1994; Layden et al. 1996) although most of them are metal-poor as well. All HB stars hotter than about 10 500 K have metal abundances heavily altered by effects of diffusion and levitation in their stable and non-convective atmospheres, as has been found in some field BHB stars (Bonifacio et al. 1995) and in globular cluster stars (Moehler et al. 1999; Behr et al. 1999). Therefore the present element abundances do not give any information about the initial metal content so that determining their population membership and hence their history is only possible by looking at their spatial distribution and kinematics. 1.2.2 A RE HB STARS GOOD TRACERS FOR STUDIES OF G ALACTIC STRUCTURE ? In principle every type of star, excluding a few extraordinary or unique objects, is a suitable tracer of one or the other populations of the Milky Way, and none is ideal. The choice depends on what kind of analysis is intended, what population is primarily aimed at (old or young stars), should only the spatial distribution be considered or also kinematic aspects, metallicities etc., and how far out should the sample go. These are important points when choosing a type of stellar object for such an undertaking. HB stars bluewards of the instability strip have several virtues which make them excellent tracers of older populations. They are found in old and very old stellar groups. The absolute magnitude of the cooler BHB stars can be easily determined to a fair accuracy using the constant absolute magnitude of the HB (beware: metallicity effects!), and determining their physical parameters (Teff , log g, see Section 2.3.1) is straightforward, so that distances of HBB and sdB/OB stars, where the HB is no longer horizontal in the CMD, can be derived easily. Moreover the prominent Balmer lines in their 10 1.2. Horizontal Branch Stars, and their role as tracer tools in studies of Galactic structure spectra (see Figure 1.7) should also lead to accurate radial velocities. As these stars are all relatively bright, at least brighter than most old main-sequence stars, they have a relatively large range. Furthermore, their colour is so unique that they can very easily be found and classified (the only other numerous type of hot star normally found at intermediate to high Galactic latitude fields, are white dwarfs, which are easily discerned from other stars by their very broad absorption lines). While not being a common type of star, HB stars are still numerous enough to be used for detailed studies. The absolute magnitudes of HBB and sdB/OB stars are not prone to metallicity effects (unlike HBA and RR-Lyrae stars), due to their stable atmospheres (see above). On the other hand there are some less favourable points to be considered: while most of the BHB/EHB stars are easy to find and identify, there are severe problems in the HBB regime when dealing with stars which are either local or at low Galactic latitudes, because they can very easily be confused with B main-sequence stars. To a lesser extent this also applies to the hotter HBA stars which could be mistaken for slightly evolved A main-sequence stars. Fortunately, these stars only exist in young to intermediate populations; therefore HBA and HBB stars become more and more important when moving to higher Galactic latitudes and to fainter and fainter magnitudes, thus moving more and more away from the solar neighbourhood and Galactic plane. However, in the solar neighbourhood most HBB stars have probably not been found, and many of the HBA (especially those having rather solar like orbits, thus not appearing in surveys for high proper motion stars) will presumably also be missed. sdB stars do not present us with this problem. Here the trouble comes mainly from binarity. Every sample of stars probably contains a significant number of binaries. These seem to be brighter than their colour would indicate 3 , radial velocities become variable etc. Many of the sdB stars are not only binaries but close binaries, which means that they have short period variations in their radial velocity, and in some cases (depending on the inclination angle) also large amplitudes. This potentially poses a severe problem for all studies of sdB kinematics. When studying stars which have a large velocity with respect to the Sun, expressed by either a large proper motion or a large radial velocity, it is therefore important to examine whether these motions are caused by the proper motion and/or radial velocity or the radial velocity alone. Fortunately more and more systemic4 velocities for these sdB binary systems are becoming available while high spatial resolution data help to settle binarity questions (Heber et al. 2002). Apart from this, the only other potential disadvantage of sdBs as tracers is that they may be formed via several channels (as described above), which could mean that there could be differences in mass and thus in luminosity. But this is at the moment purely hypothetical. The HB stars hotter than about 10,000 K do not give us any useful information about metallicities, as their atmospheric metal content has been severely altered by diffusion and levitation processes as mentioned in the previous section. Other points to be aware of are the ways and criteria the objects one wishes to study are found and identified in the surveys you select them from. Because this aspect is discussed in the relevant chapters (Chapter 3, 4 and 5) we refer to these at this stage. In short, while BHB/EHB stars are very suitable for studies of Galactic structure, one should be aware of some pitfalls. RR-Lyrae stars are also very suitable as tracer objects, and have been used for a long time. Their variability makes them very easy to find, they are bright, and their spatial parameters can be derived with relatively simple methods; for this reason almost all types of studies (spatial distribution and kinematics) can be conducted using RR-Lyraes. They are, however, significantly less numerous than BHBs and RHBs. 3 4 That is why there are many stars to the right of the MS by up to 0.7 mag in the HRD. radial velocity of the binary system. 11 1. I NTRODUCTION TO HB STARS AND THE STRUCTURE OF THE G ALAXY Field RHB stars are very difficult to classify as such unambiguously as they look very similar to other red subgiant stars. For this reason RHB stars have hardly ever been used as subjects in studies concerning Galactic structure. 1.3 S HORT OVERVIEW OF THE STRUCTURE OF THIS STUDY AND PREVI OUS RESULTS This current study is a continuation of the work done by de Boer et al. (1997a), increasing the number of stars by a factor of almost three, adding some more local stars and stars from the Hamburg-ESO survey (HE) performed by the Hamburger Sternwarte. These are on average a little further away than those of the PG-survey (Green et al. 1986) used in the earlier work, but on the whole at significantly larger z-heights as most of them are located at higher Galactic latitudes than the PG-stars used in de Boer et al. (1997a). Therefore with this enlarged sample, one can expect the probability to include halo objects in the sample to be larger, because their relative density is higher than near the sun where disk stars dominate. 1.3.1 P REVIOUS R ESULTS Scale heights of sdB stars have been studied for more than a decade. Early studies, such as Heber (1986), Downes (1986) and Bixler et al. (1991) derived scale heights of ∼ 200 pc, which is similar to values expected for the Thin Disk. This also applies to the works of Moehler et al. (1990) and Theissen et al. (1993). Green et al. (1986) obtained, using a much larger sample (∼ 750 stars), a scale height of 325 pc, which corresponds to values for the old Thin Disk. The study by Villeneuve et al. (1995) arrived at a far higher value of 450 - 900 pc, which is more typical of the Thick Disk or a mixture of both Thin and Thick Disk. Because they also used a rather large sample of 223 stars to a magnitude of Bpg =16.2 mag and the earlier studies used a much smaller quantity of stars with a brighter faint limit, it seems that to find the true vertical distribution of these stars one must have a fairly large and deep sample. A study by Mitchell (1998) of a very small sample going to very faint magnitudes claims to have found a Halo component in the sdB star distribution. The kinematics of sdB stars have also been the subject of study. Colin et al. (1994) have calculated orbits of a few sdB stars, one of them being a Halo candidate5 . The rest showed Thick Disk-like orbits and velocities. Thejll et al. (1997) analysed the kinematics of a sample of sdB and sdO stars and found values for the asymmetric drift and average velocities consistent with those found by other studies of the Thick Disk. The same applies to the study by de Boer et al. (1997a). Here the derivation of a scale height from the orbits was attempted for the first time; the result was 1 kpc. In the course of time it became quite clear, that most of the sdB stars are members of the Thick Disk6 . Because of the difficulties in properly identifying them, HBB stars have been studied far less than the sdBs. Schmidt (1996) calculated orbits for six HBB stars; these results were in part used in a relevant study by Altmann & de Boer (2000) and in part represented in Chapters 3 and 5. 1.3.2 OVERVIEW OF THE STRUCTURE OF THIS WORK The studies presented here have two main goals: 5 6 12 Which was later found to be a disk star when a new value for the proper motion was derived See, however the discussion on selection effects underrepresenting Thin Disk stars. 1.3. Short overview of the structure of this study and previous results • One aim is to analyse the population membership of HB stars bluewards of the instability gap and find similarities and differences. As for most of these stars, one of the important parameters for characterising stars - the metallicities - are not accessible. A study of population membership can give clues about whether they are metal-rich or metal-poor or have a wide range in metallicity, by comparing e.g. their distribution of kinematics with those of other stars. Additionally we will try to find evidence for or against different formation channels for stars along the HB, like the proposed binary evolution scenario for sdB stars (see e.g. Iben & Tutukov 1987) or the “peel off” model by D’Cruz et al. (1996). • Once having assigned the stars to certain populations, one can also derive constraints on the parameters defining these populations themselves. As described in previous sections, blue HB stars can serve as valuable tracers for the older populations. Therefore a main point of discussion throughout this study is the shape of the Galactic Disk, its components Thick and Thin Disk, their scale heights and rotational velocities and those of the Halo. Further results are e.g. the distance derived for the horizontal part of the HB7 (see Section 3.2.3), which may be of cosmological interest. This study is organised in the following manner: after the preceding introduction, the data acquisition and reduction of the samples of stars dealt with in Chapters 4 and 5 is described in Chapter 2. Chapters 3, 4 and 5 present the actual analyses done: Chapter 3 is a study of Horizontal Branch stars with Hipparcos data, showing that a trend in kinematics exists, with HBA stars showing a halotic behaviour and most sdB stars being disk stars; Chapter 4 is a study of sdB kinematics with a greatly enlarged sample, showing for the first time positive evidence for sdB stars in the Galactic Halo, and Chapter 5 is an extended study of the kinematics of HBB stars, which are the field BHB stars of which we know least. The results of these studies are then discussed in detail in Chapter 6, an outlook is given in Chapter 7. This outlook is especially important with the DIVA and GAIA satellite missions at the horizon. These will give an enormous impetus to this type of work and studies of the structure of the Milky Way in General. The Appendices give some supplementary information on reduction techniques and definitions. 7 The HB consists of stars having nearly the same luminosities. There is just a little decline in luminosity with temperature caused by the decline and finally the cessation of H-shell fusion. However the absolute magnitude (e.g. MV ) starts to get fainter at a certain colour/temperature (e.g. near B − V =0.1 mag for V ) following a rather steep slope. Therefore the blue and extended HBs look nearly vertical in a Colour-Magnitude-Diagram (CMD). The reason for this is that in the optical regime hot stars show the Rayleigh-Jeans region of their spectra, the slope of which is no longer dependent on temperature. Given a similar luminosity the stars become fainter with increasing temperature. The part of the HB which is not affected by this observational effect, i.e. the RHB, RR-Lyr and late HBA stars are called members of the horizontal part of the HB. 13 1. I NTRODUCTION TO HB STARS AND THE STRUCTURE OF THE G ALAXY 14 C HAPTER 2 D ATA AND DATA REDUCTION C OLLABORATORS : H. E DELMANN 2.1 T HE SAMPLE The samples of 114 sdB stars, 19 HBB and 14 HBA stars composed of objects originate from several sources: 79 sdB candidates, located in the southern polar cap (SPC) of our galaxy have been taken from the Hamburg-ESO-survey (HE). Of these 59 turned out to be sdB type stars, 13 are HBB stars. For these new data have been obtained. We further included the 41 sdB stars published in de Boer et al. (1997a) and 4 HBB stars taken from Schmidt (1996), which were mainly taken from the Palomar Green catalogue (Green et al. 1986). 17 sdB stars, 2 HBB and all of the HBA- and RR Lyrae stars dealt with in Chapter 3 have been taken from the Hipparcos catalogue (In one case from the Tycho catalogue and Geffert (1998)). Sole criteria for the selection of objects and the composition of the samples i are unambiguous spectral classification and availability or obtainability of data. A few objects, also located in the SPC on a strip just north of the celestial equator, come from the Hamburg-Schmidt-survey (HS, Hagen et al. 1995). However, from the original ∼60 sdB-candidates from this field only ∼15 were sdBs indeed, others being either AGNs, white dwarfs or cool stars. Because of this and the faintness of most of the stars remaining in the sample the stars taken from this field are not further considered for the main study. Nevertheless, some of the data is made available in Appendix B; therefore data reduction for the stars of this field is also briefly described in this chapter. More details about the composition of each sample and possible selection effects are discussed in the relevant chapters (see Sections 3.2.1, 2.1,4.1.1.1 and 5.2). The distance determination of the objects of Chapter 3, which mostly relies on the Hipparcos catalogue and other literature sources, is described there. This chapter exclusively deals with the data reduction of the stars of which new data have been obtained, i.e. those analysed in Chapters 4 and 5. 2.2 O BTAINING THE DATA The data have been acquired over the past few years, mainly from the ESO La Silla and DSAZ Calar Alto observatories, a smaller part of the spectroscopic data has been obtained at the NOT-Telescope of the Nordic observatory on the Roque de los Muchachos, La Palma. For the 41 stars of de Boer et al. (1997a) we took all of the data, except for a few cases, from that work. A few proper motions have 15 2. DATA AND DATA REDUCTION been taken from the Hipparcos catalogue (ESA 1997), some of the other data from various sources in literature (see Sect. 2.3). 2.2.1 S PECTROSCOPIC DATA The spectra of the southern HE-stars have been taken at La Silla, Chile, with the ESO 1.54m Danish telescope using the Danish Faint Object Spectrograph and Camera (DFOSC) covering a spectral range from 3500 . . . 5500 Å and with the ESO 1.52m telescope using the Boller and Chivens spectrograph covering a spectral range from 3500 . . . 7000 Å, The spectral resolution is about 5.0 and 5.5 Å, respectively. In order to conduct the wavelength calibration, especially because radial velocities were to be derived, a emission lamp spectrum was taken after the object spectrum, while the telescope was in the same position as during the object exposure. For the flux calibration spectra of the Oke-standard star Feige 110 (Oke 1990) were obtained. Exposure times were between 120 s and 3600 s, depending on the brightness of the object The data acquisition of the spectral data for the HE-stars was accomplished by Heinz Edelmann and Michael Lemke. The data for the HS-stars were obtained at the 2.2m with the Calar Alto Faint Object Spectrograph (CAFOS) and the 3.5m with the TWIN spectrograph, as well with the 2.6m NOT-Telescope with ALFOSC which is identical to the DFOSC. The resolution of the Calar Alto instruments were ∼ 5.5 Å (CAFOS) and 2.5 Å (TWIN). 2.2.2 A STROMETRIC AND PHOTOMETRIC DATA For each object photometry in B and V is required. For the astrometry images in bands in the redder part of the spectrum are needed to minimise effects from differential refraction (see e.g. Brosche et al. 1989). Therefore images were taken in B,V ,R passbands. In order to calibrate the proper motions to the extragalactic reference frame, deep and relatively wide field exposures of the fields surrounding the stars are also needed. Data acquisition of CCD images for photometry and as second epoch material for the determination of proper motions has been combined wherever possible. The data was obtained with the 1.23 m-telescope at Calar Alto in October 1998 and September 1999 and at the 1.54 m Danish telescope and the DFOSC focal reducer at La Silla in January 1999, October 1999 and September 2000. The exposure times for the images were generally 900 s each in V ,R and a somewhat shorter exposure in B (exposure time depending on approximate magnitude of the star) for the images taken at Calar Alto and between 600 s and 900 s (V and R only) for those obtained at La Silla. As the electronic gain of the CCD camera used for the La Silla images is such, that the target star is overexposed in most cases, an additional short exposure was made with an exposure time of 5 to 120 s depending on the approximate magnitude of the star. To complete the photometry a short B exposure was taken as well. On all nights Landolt standard stars (Landolt 1992) were taken at least twice per night, mostly three times per night. 9 of the 11 nights at La Silla were photometric, for the rest the short exposures were repeated during the next night. Unfortunately the second half of the last allocated night was not photometric, so here magnitudes from literature had to be included (see Sect. 2.3.2). 16 2.3. Data reduction and analysis Figure 2.1: Typical example of a line fit done with the line fitting program of Napiwotzki (priv.comm.). Here all three parameters, namely Teff , log g and log(n(He)/n(H)) are fitted using the lines shown in the figure. For further details, see text. 2.3 2.3.1 DATA REDUCTION AND ANALYSIS S PECTROSCOPY: D ERIVING RADIAL VELOCITIES , log g AND Teff The spectra were extracted from the two-dimensional frames and reduced to linear wavelength and intensity scales using the ESO-MIDAS package. They were corrected for bias and the pixel-to-pixel sensitivity variations of the CCD (flat-fielding). The sky background was removed by extracting a (cosmic-ray events cleaned) stripe on each side of the stars spectrum and subtracting the average of these two stripes from each row of the stellar signal on the CCD. These corrected rows were combined to a one dimensional stellar spectrum. Thereafter a wavelength calibration was performed with calibration spectra recorded immediately after each stellar spectrum. Then all wavelength calibrated spectra were corrected for atmospheric extinction using the extinction coefficients of La Silla, Chile (Tug 1977). The Calar Alto and NOT spectra were in principle reduced the same way as the ESO-spectra, with the difference that the IRAF reduction package was used. The spectra were then fitted to fully line blanketed LTE model atmospheres (Heber et al. 2000) as well as hydrogen and helium blanketed NLTE model atmospheres (Napiwotzki 1997). The model 17 2. DATA AND DATA REDUCTION spectra were convolved to match the spectrograph’s resolution and shifted by the approximate radial velocity. The fitting was accomplished using the fitting routine of Lemke (1997), which is based on the procedure of Bergeron et al. (1992) and Saffer et al. (1994). Fitting parameters are Teff , log g and nHe, the helium abundance. In an iterative process using the Balmer- and HeI/HeII lines (if applicable), final values for these quantities were derived (see Edelmann 1998). A typical output of the fitting program is represented in Figure 2.1. The values for Teff , log g and nHe will be published in Edelmann et al. (2002). Spectroscopic distances were determined using the method of flux conservation. For this we first obtained the angular stellar diameter by comparing model atmospheric fluxes with the dereddened apparent V -magnitude. From the determined log g, the radii of the stars are calculated. We assume the mass of the sdB stars to be 0.50 M , and that of the HBB stars 0.52 M , accounting for their somewhat larger H-envelope mass. The error of the distances was determined by error propagation to be in the order of 10%. The radial velocities were obtained by determining the centre of gravity for all Balmer and Helium lines and some metal lines. These wavelengths were then compared to the unshifted values for the corresponding lines. From these the radial velocity of each line was derived; finally their mean was calculated. Unfortunately the radial velocities obtained for the spectral lines show usually considerable scatter, often as a trend with wavelength. The exact reason for this is not known, the most probable effect lies in the wavelength calibration, which most often relies on only very few emission lines1 (Many lines were non resolved doublets, overexposed or underexposed lines, which cannot be used for wavelength calibration). In some cases, when the seeing was better than the slit width, this could lead to a slight offset of the barycentre of the stellar image in respect to the centre of the slit. This may cause a slight shift in the spectrum (in respect to the wavelength calibration) and therefore a trend in the resulting radial velocities. Therefore the resulting radial velocities have an error of about 30 km s−1 . With better lamps with more suitable lines, the radial velocities could in principle be much better, with errors of about 2-10 km s−1 . Finally the radial velocities were transformed to heliocentric values. Some of the stars show clear signs of companions in their spectra. These spectroscopically obvious secondary components contribute significantly to the continuum flux. The routine we employed to fit spectral models to the spectra critically depends on the local continuum. Therefore in the case of a binary star the continuum of the secondary star must be taken care of. As this is a rather tedious procedure and only a few stars are affected we did not include these in our final sample. This does not apply for those stars taken from literature which were measured using other fitting techniques, or in the case of SB 744, where the secondary continuum was subtracted (Unglaub & Bues 1990). The photometry (where the effect of the secondary can be seen in the B − V colours, see also Fig. 2.2) and proper motions of these stars (named sdB+x) are included in the according data tables, i.e. Table 2.1 and 2.3. sdB stars may be the result of close binary evolution. This means that even many of those that do not show any sign of binarity in their spectrum have indeed a close companion. This star, being either a White Dwarf or a low mass main sequence star, is too faint to show up in the spectrum, neither as additional absorption lines or a redder continuum. Therefore such unseen companions do not play a role for the method of the determination of physical parameters. They however do play an important role for the radial velocity determination. Especially if the secondary star is a White Dwarf of similar or even higher mass as the sdB primary, the measured radial velocity may have a 1 At CAFOS the situation has even worsened since the replacement of the He-lamp. The new device delivers hardly any He-line, when exposed with an exposure time for which the important lines of the other lamps are not overexposed! 18 2.3. Data reduction and analysis Figure 2.2: Two colour diagram of the HE-stars of our sample. Filled hexagons are sdB/OB stars, open pentagons HBB stars and crosses sdB+x binaries large amplitude – in some cases over 200 km s−1 . Indeed, recent studies have found many stars with variable radial velocities (see e.g. Maxted et al. 2001; Morales-Rueda et al. 2002 etc.). As far as possible we have used systemic radial velocities2 published in those studies and some by Marsh (priv. comm.). Unfortunately we only have access to a few values – for most of our stars we only have a single value. Luckily are the amplitudes of the majority of the variable radial velocities far less dramatic, in the order of 50 km s−1 or less. The percentage of affected stars is by no means certain – the most recent (unpublished) results show that only about 30% of the sdB stars do indeed show a variation in their radial velocity, in contrast to two thirds as published in Maxted et al. (2001) or Morales-Rueda et al. (2002). At present we cannot quantify the influence of variable radial velocities on our results; we will have to bear this problem in mind, and try to determine the systemic radial velocities of object with suspicious (i.e. very large) values in the future. This however requires several nights of observing time and can probably not be accomplished for all or even most objects. 2.3.2 P HOTOMETRY The basic CCD data reduction was done using the IRAF reduction software package. As the bias frames of the DFOSC data were very uniform and constant with time and the overall gradient was 2 i.e. the velocity of the system. 19 2. DATA AND DATA REDUCTION less than 3 ADU, we subtracted the mean, which gives the most noise-free way of subtracting a bias. For the data of September/October 2000 (new CCD chip) the bias level changed a little from night to night, so here the mean bias of each night had to be subtracted. The Calar Alto data had more structure on the bias frames so we subtracted a mean bias image. Flat field correction of the ESO data was somewhat more cumbersome. There were noticeably different large scale structures on the twilight flats made in the evening and during the morning twilight. In extreme cases this residual gradient could be as much as 10% over the chip area, in general it was ∼4%. A residual gradient remained on the flat field corrected images as well. To correct the images properly, we used a somewhat more sophisticated method (see App. A): All of the long exposed object frames were combined in such a way that all stellar images vanish (except some residuals of the target stars, because these were always near the same spot on the images and were therefore not removed completely and had to be patched). These images have the correct gradient but not a good S/N ratio. After normalising, both types of flats (the twilight flats and those derived from the science frames) were blurred with a Gaussian. The twilight flat was then divided by the blurred twilight flat leading to an image which shows only the small scale structure. This was then in turn multiplied (transplanted) to the science frame flat. This method could not be used for the B passband, because the object frames had only short exposure times. The result was then in turn applied to the science frames. The Calar Alto frames did not have a problem with residual gradients. However we used a similar technique to include short exposure flats which suffer from shutter timing effects. The correction of the various bad columns and pixels was done with IRAF’s task fixpix. An occasionally appearing bad line could not be corrected but was uncritical for our purposes. The photometric reduction has been done using the photometry packages of IRAF. As only the magnitude of the target star was of interest we measured the stars magnitude using the aperture photometry task phot. The aperture diameter used was 1400 , which is the size also used by Landolt (1992) for his standard star photometry used for our calibration. The calibration was done with the equations Vinst = Vcal + ζV + κV · XV + χV (B − V )cal (2.1) Binst = ((B − V )cal + Vcal ) + ζB + κB · XB + χB (B − V )c (2.2) Rinst = (Vcal − (V − R)cal ) + ζR + κR · XR + χR (V − R)cal (2.3) where Minst (M, N = B, V, R) means the instrumental magnitude in the appropriate passband, Mcal ,(M − N )cal the calibrated magnitude/colour index, ζM the magnitude shift, κM the extinction coefficient and χM the colour term. The values of the calibration parameters were determined by fitting the instrumental magnitude of the standard stars to the literature values using a least squares fit. The solution was then applied to the programme stars. The photometric data is shown in Table 2.1. A few of the stars spectroscopically identified as binaries having a cool companion clearly showed up in a (B − V ) − (V − R) diagram, because their colour indices are much redder than those of apparently single sdB stars. The star HE 0021−2326, which is spectroscopically classified as single, has a slightly (but significantly) redder B − V index than that of single sdB stars, possibly indicating that it has a companion too faint to have its spectral features (like the g-band or the Ca II H+K lines) show up in its spectrum. This may mean that photometry is somewhat more sensitive for sdB binarity. Comparison of the B-magnitudes of the HE-stars to the photographic bjdss-magnitudes listed on the HE-finding plates shows generally agreement much better than inferred by the magnitude error of 0.1 20 2.3. Data reduction and analysis Table 2.1: Photometric data of the part of the sample taken from the HE-catalogue. The 59 sdB/sdOB/sdBv stars are part of the sample dealt with in Chapter 4, the 14 HBBs are dealt with in Chapter 5. The EB−V data is adapted from Schlegel et al. (1998) (for details, see text). No. Name V B-V V-R Airmass EB−V Type remarks [mag] [mag] [mag] 1 HE 0000−2355 13.293 −0.246 −0.130 1.04 0.009 sdB 2 HE 0001−2443 13.876 −0.256 −0.136 1.20 0.009 He-sdB 3 HE 0004−2737 13.967 −0.277 −0.155 1.01 0.010 sdOB 4 HE 0021−2326 15.942 −0.064 +0.010 1.01 0.008 sdB 5 HE 0023−2317 14.57 −0.11 – – 0.007 HBB 6 HE 0031−2724 14.229 −0.292 −0.115 1.01 0.005 sdOB 7 HE 0049−3059 14.413 −0.236 −0.126 1.00 0.007 sdB 8 HE 0049−2928 15.781 −0.221 −0.116 1.08 0.004 sdB 9 HE 0123−2808 16.089 −0.242 −0.067 1.13 0.006 sdB 10 HE 0127−4325 14.597 −0.226 −0.126 1.10 0.008 sdB 11 HE 0128−4311 14.455 −0.153 −0.081 1.03 0.013 HBB 12 HE 0136−2758 16.173 −0.233 −0.143 1.22 0.011 sdB 13 HE 0151−3919 14.311 −0.218 −0.101 1.04 0.004 sdB/HBB 14 HE 0218−3437 13.391 −0.253 −0.122 1.01 0.008 sdB 15 HE 0218−4447 12.887 −0.285 −0.144 1.10 0.006 sdO 16 HE 0221−3250 14.700 −0.243 −0.102 1.04 0.006 sdB 17 HE 0225−4007 12.042 −0.104 −0.045 1.03 0.012 HBB 18 HE 0226−3639 13.582 +0.069 +0.126 1.01 0.024 sdB+x 19 HE 0227−4012 14.854 +0.046 +0.286 1.10 ??? 20 HE 0230−4323 13.779 −0.223 −0.112 1.13 0.013 sdB 21 HE 0231−3441 14.828 −0.258 −0.131 1.07 0.012 sdB 22 HE 0238−1912 12.598 +0.154 −0.068 1.08 0.024 HBB 23 HE 0255−1814 13.896 −0.134 −0.068 1.03 0.014 HBB 24 HE 0258−2158 14.645 −0.217 −0.107 1.06 0.011 sdB 25 HE 0307−4554 15.063 −0.213 −0.100 1.11 0.013 sdB 26 HE 0315−4244 16.918 −0.221 −0.086 1.03 0.006 sdB 27 HE 0319−5105 13.253 −0.176 −0.074 1.25 0.004 sdB 28 HE 0324−2529 14.624 −0.241 −0.132 1.10 0.007 sdB 29 HE 0337−2508 13.843 +0.171 +0.166 1.02 0.003 sdB+x 30 HE 0340−3820 14.771 −0.280 −0.154 1.03 0.000 sdB 31 HE 0341−2449 14.889 −0.285 −0.156 1.07 0.001 sdOB 32 HE 0343−4748 14.193 −0.172 −0.066 1.06 0.000 sdB 33 HE 0351−3536 14.107 −0.228 −0.113 1.09 0.000 sdB 34 HE 0405−3859 14.392 −0.256 −0.123 1.10 0.000 sdB 35 HE 0405−1719 14.003 −0.276 −0.139 1.04 0.015 sdOB 36 HE 0407−1956 13.610 – – – 0.020 sdB Beers et al. 1992 37 HE 0410−4901 14.508 −0.210 −0.059 1.09 0.007 sdB 38 HE 0419−2538 13.666 −0.227 −0.125 1.01 0.034 sdB 39 HE 0420−1806 14.607 – – – 0.030 HBB 40 HE 0429−2448 15.301 −0.240 −0.116 1.28 0.038 sdOB 41 HE 0430−2457 14.155 −0.046 +0.085 1.10 0.039 sdB+x 21 2. DATA AND DATA REDUCTION No. Name 42 43 44 45 46 47 48 49 50 51 52 52a 53 HE 0430−5341 HE 0442−1746 HE 0444−4945 HE 0447−3654 HE 0452−3654 HE 0500−3518 HE 0504−2041 HE 0505−3833 HE 0505−2228 HE 0510−4023 HE 0513−4632 HE 0513−4632 HE 0516−2311 V [mag] 13.628 15.150 15.113 14.552 13.836 15.044 14.959 14.185 15.547 14.837 15.341 15.338 15.600 54 HE 0519−3512 13.157 55 HE 0521−3914 15.550 56 57 58 59 60 61 62 63 63a 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 22 HE 0523−1831 HE 0532−4503 HE 0538−5637 HE 0539−4246 HE 2134−4119 HE 2135−3749 HE 2137−4221 HE 2154−4143 HE 2154−4143 HE 2155−1724 HE 2156−3927 HE 2156−1732 HE 2201−2113 HE 2203−3740 HE 2204−2136 HE 2205−1952 HE 2213−4158 HE 2222−3738 HE 2226−4005 HE 2230−4000 HE 2337−2944 HE 2340−2806 HE 2343−2944 HE 2349−3135 HE 2355−3221 HE 2359−2844 14.307 16.056 15.027 14.804 14.720 13.926 14.468 15.183 15.164 15.042 14.448 15.064 15.903 13.487 13.232 14.591 16.153 14.889 14.535 14.806 14.452 15.013 15.059 15.908 15.181 16.620 Table 2.1: Photometric data (cont.) B-V V-R Airmass EB−V Type remarks [mag] [mag] −0.151 −0.063 1.12 0.000 HBB −0.271 −0.150 1.07 0.033 sdOB −0.265 −0.115 1.12 0.001 sdB −0.249 −0.125 1.22 0.001 sdB −0.269 −0.126 1.21 0.000 sdB −0.227 −0.113 1.36 0.003 sdB −0.246 −0.106 1.37 0.022 sdB −0.245 −0.116 1.21 0.014 sdB −0.261 −0.089 1.09 0.024 sdB −0.217 −0.084 1.30 0.038 sdB +0.069 +0.134 1.46 0.013 sdB+x +0.074 +0.137 1.42 0.013 −0.28: – – 0.027 sdB phot. B-mag. +0.28 mag −0.106 −0.048 1.50 0.033 HBB – – – 0.016 sdBv Koen et al. 1999 −0.275 −0.130 1.35 0.048 sdB −0.225 −0.109 1.42 0.027 sdB +0.117 +0.193 1.44 0.049 sdO+x −0.195 −0.108 1.10 0.036 sdB −0.156 −0.085 1.05 0.014 HBB −0.227 −0.135 1.03 0.024 sdB −0.149 −0.046 1.03 0.009 HBB −0.243 −0.107 1.07 0.009 sdB −0.262 −0.136 1.05 0.009 −0.243 −0.110 1.16 0.036 sdB −0.187 −0.055 1.02 0.031 sdB −0.218 −0.082 1.08 0.009 sdB −0.230 −0.111 1.06 0.028 sdB −0.151 −0.083 1.02 0.012 HBB −0.045 −0.032 1.07 0.032 HBB −0.283 −0.135 1.01 0.019 sdB −0.338 −0.115 1.18 0.002 sdB −0.230 −0.132 1.07 0.006 sdB +0.113 +0.131 1.02 0.006 sdB+x +0.042 +0.109 1.08 0.007 sdB+x −0.247 −0.147 1.04 0.009 sdB −0.161 −0.053 1.00 0.007 sdB −0.213 −0.133 1.04 0.003 sdB −0.282 −0.107 1.07 0.009 sdB −0.219 −0.135 1.10 0.002 sdB −0.28: – – 0.009 sdOB Lamontagne et al. 2000 +0.28 mag 2.3. Data reduction and analysis tabsolsep1.8mm Table 2.2: Comparison of magnitudes obtained on the 2.10.2000 with magnitudes from the HEcatalogue (which corresponds to the B magnitude) and other sources in literature (passband of literature value is in parentheses). Close neighbours affect the bjdss magnitudes: such stars have been marked in column “remarks”. Name V B bjdss mlit Source remark [mag] [mag] [mag] [mag] HE 0001-2443 13.88 13.62 13.66 13.77(B) Lamontagne et al. (2000) HE 0023-2317 14.57 14.46 14.44 – – HE 0238-1912 12.60 12.75 12.57 – – HE 0407-1956 13.67 13.41 12.81 13.61(V) (Beers et al. 1992) close companion HE 0516-2311 16.82 16.59 15.32 – – HE 0521-3914 16.66 15.94 14.92 15.55(V) Koen et al. (1999) close companions HE 0539-4246 14.80 14.61 14.52 – – HE 2201-2113 15.90 15.68 15.68 – – HE 2204-2136 13.23 13.19 13.30 – – HE 2359-2844 17.31 16.01 – 16.34(B) Lamontagne et al. (2000) mag given for the bjdss-magnitudes, except when the star has close companions. Part of the night of 2.10.2000 to 3.10.2000 was not photometric. As this was the last allocated night, the photometric observations could not be repeated. While the first part could still be calibrated properly, there were scattered clouds coming up after midnight. This means, that while there were clear periods during this later part of the night, at other times the sky was nearly overcast. Therefore no measurement obtained during this time can be trusted without some independent confirmation. We thus compared our magnitudes with values taken from literature or from the photographic bjdss magnitude of the HE-catalogue. This comparison, shown in Table 2.2 shows that during most of the time our magnitudes agree rather well with the comparison magnitudes. Of the stars observed on that night, HE 2201−2113, HE 2204−2136 and HE 0001−2443 were observed in the beginning of the night which was photometric, while for HE 0407−1956 (Beers et al. 1992), HE 0521−3914 (Koen et al. 1999) and HE 2359−2844 (Lamontagne et al. 2000) we could take the values from literature. HE 0521−3914 is a EC 14026 multi modal variable star, which probably is the case several other of the stars, especially to those having a Teff between 29 000 K and 35 000 K. The amplitudes of EC 14026 stars is normally less than a few 1/100th mag so that this variability is neglectable when compared to the other errors. In the cases where we had no measurement from literature, but the bjdss matches well we adopted our value. Finally, HE 0516−2311, has no published magnitude and our magnitudes are not reliable. Therefore we adopted the bjdss magnitude (the star has no close neighbours, which would falsify the bjdss value, see Table 2.2) as the B magnitude and derived the V magnitude by adding 0.28 mag, which is a typical B − V value for a single sdB star with little interstellar extinction. While we are convinced that the magnitudes adopted for these stars are sufficiently accurate, it is clear that these have a somewhat greater uncertainty than those made in other nights. The majority of our stars is located at intermediate to very high galactic latitudes. Nevertheless the photometry must be extinction corrected, to minimise systematic distance effects. As almost all stars of our sample are located at |z| > 200 pc, thus likely above the galactic dust layer, one can assume that all interstellar extinction is in front of the star. Therefore we decided to use reddening maps, such as those from Schlegel et al. (1998) or Burstein & Heiles (1982). The latter have no data for about 23 2. DATA AND DATA REDUCTION 30% of our stars, namely those located near the SGP. Apart from that, a large part of the reddening values turned out to be slightly negative, which could mean that their zero point of EB−V is a bit to low or due to problems with interpolation. The average values taken from Schlegel et al. (1998) are somewhat larger. Subtracting 0.02 mag from their values, which the authors suggest to make the data comparable with that from Burstein & Heiles (1982) seems to overdo it. As a good compromise we decided to take the Schlegel et al. (1998) reddening values, reduced by 0.01 mag. The very few resulting negative values were taken as EB−V = 0. The absorption was then calculated with AV = EB−V · 3.315 (2.4) and applied to the V -magnitudes. For the majority of the stars EB−V was below 0.02 mag, a few had an EB−V of between 0.04 and 0.05. This means that a residual EB−V will cause an error in the distances which is small compared to the influences of the other errors. For the brighter and hence nearer Hipparcos stars taken from Altmann & de Boer (2000), we took the extinction values published there. 2.3.3 A STROMETRY The biggest problem encountered when determining proper motions of stars is the availability of suitable 1st epoch material. Before ∼ 1950 the photographic plates taken are mostly from areas of special interest, such as fields containing a star cluster, a nebulosity, a bright galaxy or a dense region of the Milky Way. Therefore one has to rely on whole sky surveys, such as the Palomar Observatory Sky Survey (POSS), and its southern extension, the UK-Schmidt Survey. The latter was completed in the 1970’s and early 1980’s while the POSS was accomplished between 1948 and 1958. In recent times several scanned version of these plates became available, like the Digital Sky Survey (DSS) or the APM catalogue (Automated Plate Measuring maschine, Irwin & McMahon 1992, Irwin et al. 1994). The APM comes as a positions catalogue and is first retransformed to plate coordinates by a backwards gnomonic projection (Geffert, priv. comm.). This catalogue was found to be accurate enough to provide the first epoch data, and 12 of the proper motions published in de Boer et al. (1997a) have been determined using the APM (see also Altmann 1997). Unfortunately for δ < −15◦ , the positions of the APM mainly rely on recent plates, rendering them unsuitable as first epoch material. Therefore we took positions derived from DSS plates. These scans have a image scale of 1.700 /pix and are made from the blue plates of the UK Schmidt-survey. This could mean a problem, because blue light is affected more than red light by differential refraction (Brosche et al. 1989). However the plates were taken at very low airmass, most of them near the meridian. The declinations of our objects are between −17◦ and −55◦ , so they are not more than 25◦ off zenith when passing the meridian. Of the position determining methods generally used to get the plate coordinates, DAOPHOT is presumably not the best way to determine positions of stars on a digitised photographic plate, because it uses a PSF, and the PSFs of each photographic stellar image differs in contrast to those of a CCD image. The PSFs of the galaxies needed for calibration purposes are unique anyway. For this reason we decided to use SExtractor (Bertin & Arnouts 1996). Comparing positions derived using DAOPHOT and SExtractor shows a good agreement for well exposed stars, with σ(∆x, ∆y) ' 0.02 pix, or 0.03500 (The image scale of the DSS1 is 1.700 /pix). In order to compare DSS and APM positions, we derived proper motions for 9 stars from the equatorial strip using both first epoch material. The standard deviations of the differences between the pairs of proper motions was ∼ 2.5 mas/yr. This shows that with the usage of SExtractor the DSS1 can be used for the determination of proper motions unlike Irafs task IMEXAM which does not seem to be well suited (Altmann 1997). Taking the results of this comparison into account we conclude that the error 24 2.3. Data reduction and analysis of the proper motions of the southern stars, which have a much smaller epoch difference is about 4 - 5 mas/yr. Adding the error of the galaxy calibration (using error propagation), which is in the order of 1 - 2 mas/yr, the proper motions derived from DSS first epoch material are good to about 5 - 6 mas/yr. However one of the 9 proper motion pairs showed a larger deviation of about 10 mas/yr. So a few of the proper motions have a larger error than the general error. But on the whole the DSS is suited for this kind of work, so we decided to use this method for the southern stars. For the northern stars we chose to use the APM for reasons of convenience. The star HE 0407−1956 is partially merged with its neighbour, and SExtractor considered the two as one object. Therefore we determined the centre of gravity for HE 0407−1956 by hand. The error of this determination is however similar to those of the other stars. 2.3.3.1 2nd EPOCH MATERIAL : As second epoch material, the same CCD-exposures were used as for the photometry (See Sect. 2.2.2). The ESO data has a image scale of 0.3900 /pix, the Calar Alto data 0.5300 /pix. For the determination of plate coordinates, SExtractor was used for the CCD-images as well. DAOPHOT requires a lot of user interaction during creation of the PSF (takes about 2 hours per star for the whole DAOPHOT process). SExtractor reduces a complete data set within 5 minutes(!). The reason for using SExtractor, rather than DAOPHOT is apart from time and convenience, the problem of galaxy PSFs. The agreement between the positions derived with the two methods of reasonably bright not saturated stars is very good. 2.3.3.2 R EFERENCE CATALOGUES : The third item required for the derivation of proper motions is a reference catalogue which includes position proper motions. However, for small field-astrometry, e.g. with CCD data, there are not enough stars with measured proper motions in a typical field. Even the Tycho catalogue has only about 1 - 5 entries in a DFOSC field of 13.70 ×13.70 . Still worse, almost all of these are saturated even on the shortest exposures. This means we had to rely on catalogues without proper motions taking into account the tradeoff that the resulting proper motions are relative ones, which have to be calibrated to an absolute reference frame. We accomplish this by using the background galaxies in the field which have by definition a zero proper motion. As in these high galactic latitude fields the majority of the objects are already galaxies, we expect the correction to be small. For the stars north of the celestial equator we used the APM as the reference catalogue, no further objects from the CCD data need to be added, because the APM catalogue already includes all objects with first epoch data. Only objects in both data sets take part in the reduction anyway. In the south we created a reference catalogue based on our CCD-data using the USNO2.0 catalogue (Monet 1998) as start catalogue. 2.3.3.3 R EDUCTION : The astrometric reduction was done using the BAP-software of Michael Geffert (see e.g. Geffert et al. 1997; for a detailed description of the various programs and their usage, see Sanner (2001), his Appendix C). In a two step iteration we first determined celestial positions for each plate/CCD-frame, which were then averaged to give a catalogue with positions and proper motions. This catalogue was 25 2. DATA AND DATA REDUCTION Table 2.3: The proper motions of all 79 stars. µα cos δ and µδ are the relative proper motions, µα cos δ 0 and µδ0 the absolute proper motions calibrated to the extragalactic reference frame and ∆µα cos δ, ∆µδ their errors (based on the second epoch only, because only one set of first epoch data was available, see text; the first epoch error is estimated to be about 4-6 mas/yr). No. Name µα cos δ µδ µα cos δ 0 µδ0 ∆µα cos δ ∆µδ µα cos δ s µδs ∆µα cos δ s ∆µδs #gal [mas/yr] [mas/yr] [mas/yr] [mas/yr] [mas/yr] +5.9 −12.4 +9.2 −14.4 0.4 0.7 −3.3 +2.0 1.4 1.6 33 +3.8 −26.6 +7.0 −29.0 1.6 1.7 −3.2 +2.3 1.4 1.4 33 +18.4 −6.1 +20.1 −7.6 0.6 0.4 −1.7 +1.6 0.9 1.0 70 +8.2 +2.0 +6.5 −1.3 0.8 0.2 +1.7 +3.3 1.5 1.4 35 +2.0 −19.6 +2.8 −21.0 0.2 1.8 −0.8 +1.4 0.9 1.3 41 −3.9 +9.1 −2.7 +8.6 0.2 0.0 −1.2 +0.5 1.3 1.2 41 +15.6 −13.0 +15.4 −17.5 0.5 0.7 +0.1 +4.5 1.9 2.1 31 +16.0 −0.8 +16.9 −2.1 0.0 2.9 −1.0 +1.3 1.8 1.3 29 +4.0 −1.3 +6.0 −3.0 1.2 0.6 −2.0 +1.7 1.8 1.5 28 +4.8 +8.5 +8.3 +7.9 0.2 1.6 −3.6 +0.6 1.7 1.6 29 +14.0 −1.0 +17.0 −3.2 0.8 0.7 −3.0 +2.3 1.9 2.3 14 +14.0 −20.9 +15.6 −22.9 0.9 1.0 −1.7 +2.0 1.1 0.8 47 −5.6 −42.6 −7.4 −43.0 0.9 1.9 +1.8 +0.4 1.7 1.6 23 −1.6 −3.3 +2.0 −2.8 0.5 0.2 −3.6 −0.5 1.4 1.3 30 +47.1 +3.0 +47.9 +1.7 0.9 0.6 −0.8 +1.4 0.8 0.8 60 +21.6 −32.2 +23.4 −34.0 2.3 0.7 −1.8 +1.8 1.7 1.8 23 +16.2 −19.7 +18.7 −20.9 1.2 1.0 −2.5 +1.2 1.2 1.0 58 −1.1 +10.6 +0.5 +10.0 0.4 0.2 −1.6 +0.6 1.4 1.4 38 −14.3 −8.3 −11.7 −9.2 0.6 0.3 −2.6 +1.0 0.8 0.8 81 +5.7 +18.7 +5.0 +20.3 1.0 0.6 +0.7 −1.6 1.5 1.3 50 −9.9 −14.7 −9.1 −17.2 2.1 1.6 −0.8 +2.5 2.6 2.5 15 +9.3 −14.6 +13.8 −11.9 0.3 0.8 −4.6 −2.7 2.4 2.7 14 −0.3 +0.8 −0.8 +2.2 0.7 0.2 +0.6 −1.4 3.1 3.0 20 +20.2 −5.3 +25.7 −6.6 0.4 0.4 −5.5 +1.3 1.4 1.5 31 +18.5 −4.8 +21.7 −8.1 0.9 1.2 −3.2 +3.3 1.6 1.3 27 +1.00 −3.0 +4.1 −4.5 1.0 0.8 −3.1 +1.5 1.5 1.9 21 1 HE 0000−2355 2 HE 0001−2443 3 HE 0004−2737 4 HE 0021−2326 5 HE 0023−2317 6 HE 0031−2724 7 HE 0049−2928 8 HE 0049−3059 9 HE 0123−2808 10 HE 0127−4325 11 HE 0128−4311 12 HE 0136−2758 13 HE 0151−3919 14 HE 0218−3437 15 HE 0218−4447 16 HE 0221−3250 17 HE 0225−4007 18 HE 0226−3639 19 HE 0230−4323 20 HE 0231−3441 21 HE 0238−1912 22 HE 0255−1814 23 HE 0258−2158 24 HE 0307−4554 24a HE 0307−4554 25 HE 0315−4244 continued next page 26 Name 26 HE 0319−5105 27 HE 0324−3749 28 HE 0337−2506 29 HE 0340−3820 30 HE 0341−2449 31 HE 0343−4748 32 HE 0351−3536 33 HE 0405−1719 34 HE 0405−3839 35 HE 0407−1956 36 HE 0410−4901 37 HE 0419−2538 38 HE 0420−1806 39 HE 0429−2448 40 HE 0430−2457 41 HE 0430−5341 42 HE 0442−1746 43 HE 0444−4945 44 HE 0447−3654 45 HE 0452−3654 46 HE 0500−3518 47 HE 0504−2041 48 HE 0505−2228 49 HE 0505−3833 50 HE 0510−4023 51 HE 0513−4632 52 HE 0516−2311 continued next page No. µα cos δ µδ [mas/yr] +7.4 −0.4 −3.1 −8.5 +0.4 −5.0 +2.7 +8.3 +19.0 −5.6 +4.1 −3.0 +0.6 −8.7 −0.5 +15.4 +1.9 +3.9 +13.5 +39.3 +4.8 +11.0 +4.6 −5.6 +0.7 −1.1 −6.3 −9.8 +8.3 −15.5 +16.5 −23.8 −7.4 +12.9 +8.9 +20.6 +14.2 −18.3 +7.8 +9.4 +8.4 +15.8 +8.0 +3.0 +16.9 −0.9 +2.2 +5.0 +2.8 −6.0 +2.0 −4.5 −17.0 +14.1 Table 2.3: The proper motions of all 79 stars (cont.). µα cos δ 0 µ0δ ∆µα cos δ ∆µδ µα cos δ s µsδ [mas/yr] [mas/yr] [mas/yr] +7.1 +0.7 1.3 0.7 +0.3 −1.2 −0.8 −10.8 0.9 0.8 −2.3 +2.3 +2.3 −6.3 0.7 1.1 −1.8 +1.3 +4.2 +7.8 0.4 0.2 −1.6 +0.5 +20.0 −5.0 0.5 2.0 −1.0 −0.6 +5.8 −2.7 0.2 0.9 −1.7 −0.3 −0.6 −8.2 1.6 0.6 +1.2 −0.5 −2.6 +15.8 0.5 0.3 +2.2 −0.4 +5.2 +2.8 1.5 1.0 −3.2 +1.2 +13.9 +41.7 0.9 1.0 −0.4 −2.4 +5.4 +10.7 0.5 0.4 −0.6 +0.3 +4.1 −8.2 0.3 0.6 +0.5 +2.6 +0.5 0.0 1.0 1.4 +0.2 −1.1 −5.6 −9.0 1.2 0.6 −0.6 −0.8 +11.0 −15.8 2.4 1.5 −2.7 +0.3 +19.3 −23.3 0.8 0.6 −2.8 −0.5 −5.3 +11.5 0.8 0.5 −2.1 +1.4 +9.4 +23.9 0.5 0.5 −0.5 −3.4 +16.5 −20.1 1.1 0.5 −2.4 +1.8 +7.4 +9.8 1.1 0.7 +0.3 −0.3 +8.3 +15.8 1.6 0.2 +0.1 −0.1 +7.1 +2.3 1.5 1.0 +0.9 +0.7 +16.6 +1.1 1.1 0.6 +0.2 −2.0 +3.1 +6.5 0.9 0.5 −0.8 −1.5 +3.3 −6.2 1.4 0.4 −0.6 +0.2 +3.9 −3.7 1.1 0.2 −1.9 −0.9 −17.9 +17.8 0.9 3.1 +0.9 −3.6 ∆µα cos δ s ∆µsδ [mas/yr] 1.1 1.1 1.3 1.7 1.8 1.8 1.0 1.0 1.3 1.6 1.0 0.9 1.4 1.3 1.8 1.8 1.4 1.4 2.1 1.9 0.9 1.0 1.6 1.5 1.4 1.7 1.9 1.8 1.7 1.3 1.0 1.1 2.0 1.5 2.2 1.9 1.2 1.3 0.9 0.9 1.8 1.5 1.4 1.8 1.6 1.7 0.9 0.8 0.8 0.7 1.0 1.0 2.0 2.0 50 26 31 56 33 66 54 45 35 23 92 38 31 32 46 78 29 37 50 79 44 38 43 102 115 44 29 #gal 2.3. Data reduction and analysis 27 2. DATA AND DATA REDUCTION 53 54 55 56 57 58 59 60 61 62 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 No. HE 0519−3512 HE 0521−3914 HE 0523−1831 HE 0532−4503 HE 0538−5637 HE 0539−4246 HE 2134−4119 HE 2135−3749 HE 2137−4221 HE 2154−4143 HE 2154−4143 HE 2155−1724 HE 2156−1732 HE 2156−3927 HE 2201−2136 HE 2203−3740 HE 2204−2136 HE 2205−1952 HE 2213−4158 HE 2222−3738 HE 2226−4005 HE 2230−4000 HE 2337−2944 HE 2340−2806 HE 2343−2944 HE 2349−3135 HE 2355−3221 HE 2359−2844 Name µα cos δ µδ [mas/yr] +1.1 −9.8 −16.4 +11.0 +3.1 −10.1 +7.1 −4.5 +4.5 −14.1 −6.0 +3.9 −6.9 +2.6 +6.8 +8.3 +1.7 −3.4 +5.2 +7.1 +4.6 +6.2 +11.6 +0.4 +7.1 −7.2 +5.6 +24.6 +8.4 −2.5 −5.2 +3.7 −11.0 −14.1 +7.8 −3.8 +7.2 +10.9 +28.7 −2.0 +1.0 −3.5 +1.9 −10.1 +15.1 +11.8 −1.2 +12.7 +5.2 −15.2 −4.1 −4.9 −0.6 −13.9 +6.1 −11.9 Table 2.3: The proper motions of all 79 stars (cont.). µα cos δ 0 µδ0 ∆µα cos δ ∆µδ µα cos δ s µδs [mas/yr] [mas/yr] [mas/yr] +1.2 −8.9 2.1 0.6 −0.0 −0.9 −15.0 +11.2 0.4 0.6 −1.4 −0.2 +4.8 −10.1 1.0 0.5 −1.7 +0.0 +8.2 −2.7 1.2 0.5 −1.1 −1.8 +3.9 −13.6 0.6 0.2 +0.6 −0.6 −0.2 +3.7 0.5 0.6 −5.8 +0.2 −7.0 −0.3 0.4 0.6 +0.1 +2.9 +5.3 +6.0 0.2 0.0 +1.4 +2.3 +0.2 −5.9 0.0 0.6 +1.5 +2.4 +5.6 +5.5 0.4 0.6 −0.4 +1.6 +5.0 +5.8 0.6 0.5 −0.4 +0.3 +11.6 −2.2 0.0 0.2 −0.0 +2.6 +8.7 −10.2 0.7 0.5 −1.6 +3.0 +4.4 +22.0 1.1 0.4 +1.2 +2.5 +9.2 −3.9 0.4 0.6 −0.8 +1.4 −4.9 +1.9 0.6 0.4 −0.3 +1.8 −5.5 −19.8 0.7 0.9 −5.5 +5.7 +7.5 −8.8 0.2 0.2 +0.2 +5.1 +5.6 +10.3 1.0 0.4 +1.6 +0.6 +32.0 −6.0 1.2 0.4 −3.3 +4.0 +2.6 −6.9 0.4 0.3 −1.6 +3.4 +3.8 −12.1 0.4 0.2 −1.8 +2.0 +14.3 +8.4 0.8 0.4 +0.8 +3.3 +1.7 +11.3 1.0 0.9 −2.9 +1.4 +5.5 −15.2 0.8 0.4 −0.3 +0.0 −6.6 −1.9 1.5 0.6 +2.5 −2.9 −0.1 −15.5 0.4 0.6 −0.5 +1.5 +7.8 −12.0 0.8 0.6 −1.7 +0.1 ∆µα cos δ s ∆µδs [mas/yr] 1.1 1.0 1.4 1.0 1.2 1.3 1.0 1.2 0.9 0.9 1.4 1.7 0.9 1.0 1.3 1.1 0.8 0.9 1.6 2.1 1.8 2.1 2.0 2.7 1.5 1.8 2.5 2.5 1.0 1.2 1.7 1.6 2.0 1.6 1.2 1.4 2.0 2.6 1.2 1.7 1.0 1.2 1.3 1.5 2.3 2.1 1.3 2.0 1.5 1.8 1.9 1.7 0.9 0.9 1.4 1.3 #gal 68 34 56 65 81 31 50 40 79 30 31 19 31 15 50 33 20 39 21 30 46 34 21 37 37 20 73 29 28 2.3. Data reduction and analysis Figure 2.3: Separating stars and galaxies. Shown is a plot magnitude against fwhm, showing the stars (vertical distribution of points along f whm=2.7 pix), probable galaxies to the right of this and spurious objects to the left of the stars. Also shown are two linear equations which are used to throw out low S/N objects. Figure 2.4: Vector point plot diagram of the measured proper motions of faint background galaxies. These (galaxies have µ = 0 mas/yr) are used to calibrate the proper motion of the star into an absolute reference frame then in turn used as new reference catalogue for the second iteration. For the plate reduction we used a plate model with 3rd order terms. The resulting errors (based alone on the second epoch, since there is only one first epoch position) are in the order of 1 mas/yr with only a few stars having an error larger than 2 mas/yr. 2.3.3.4 C ALIBRATION : As stated before, the resulting proper motions are relative only. Therefore we transfer them to an absolute reference frame using the background galaxies. For this one determines the apparent galaxy proper motion centroid and subtracts this from the stellar proper motions. The galaxies are identified and separated from stars by criteria of FWHM of their images, SExtractor’s stellarity index and additional user defined selections to account for the larger error of FWHM for faint objects. This method is well established and often used in galaxy searches (see Figure 2.3). For each star we found between 15 and 120 galaxies, mostly between 40 and 70. The limiting factor is the 1st epoch material; the long CCD exposures, which were used for galaxy searching, usually yielded several hundred galaxies. Unfortunately the galaxies are very faint or show too much structure to be centered properly. Therefore the derived proper motions of these objects scatter considerably. The faintness of the objects leads to undersampling in the digitised photographic plates. The brighter galaxies have a slightly different shape or light distribution in different parts of the spectrum, e.g. star forming regions in spirals. To get rid of the most extremely deviating cases we expunged those objects deviating by more than 2σ completely. In general the standard deviation was about 10 to 15 mas/yr and a resulting error of 0.5 to 2.5 mas/yr in almost all cases. These large standard deviations are not unusual, given the difficulties described earlier on; Ojha et al. (1994) arrived at values of 8 mas/yr for their standard deviation of the 29 2. DATA AND DATA REDUCTION Table 2.4: The spatial and kinematic data of all stars dealt with in Chapters 4 and 5. This table contains positions, distances, proper motions and radial velocities of all objects and the sources where they have been taken from Name α(2000.0)δ d µα cos δ µδ vrad Sourcea Type Chapter [h m s ] [◦ 0 00 ] [kpc] [mas/yr] [km s−1 ] Astr. Sp. 00 03 22.059 −23 38 57.99 0.76 +9.2 −14.4 −64 TW HE sdB 4 00 06 46.264 −27 20 53.40 0.71 +20.1 −7.6 +27 TW HE sdB 4 00 07 33.770 +13 35 57.65 1.41 +3.0 −25.0 −37 B97 B97 sdB 4 00 23 59.331 −23 09 53.92 2.72 +6.5 −1.3 −67 TW HE sdB 4 00 26 14.545 −23 00 36.11 4.17 +2.8 −21.0 +70 TW HE HBB 5 00 33 53.889 −27 08 24.08 0.93 −2.7 +8.6 −12 TW HE sdB 4 00 42 58.309 −38 07 37.30 0.26 +43.8 −7.0 −62 HIP HE sdB 4 00 47 29.219 +09 58 55.69 0.17 +4.1 +24.0 +3 HIP HE sdB 4 00 42 06.110 +05 09 23.37 1.05 +7.5 −12.0 +87 B97 B97 sdB 4 00 51 57.737 −29 12 07.54 2.20 +15.4 −17.5 −15 TW HE sdB 4 00 51 37.702 −30 42 56.19 1.22 +16.9 −2.1 +52 TW HE sdB 4 01 01 17.569 −33 42 45.42 0.54 −11.0 −12.9 −56 HIP HE sdB 4 01 04 21.670 +04 13 37.26 0.45 +12.2 −40.0 +8 B97 M99 sdB 4 01 08 26.774 −32 43 11.63 0.44 −7.7 +1.7 −24 HIP HE sdB 4 01 25 33.347 −27 53 04.74 2.61 +6.0 −3.0 +35 TW HE sdB 4 01 29 11.441 −43 10 27.85 1.71 +8.3 +7.9 +16 TW HE sdB 4 01 30 28.935 −42 55 53.99 2.54 +17.0 −3.2 +12 TW HE HBB 5 01 36 26.259 +11 39 30.95 0.77 +20.7 −34.4 +6 TW M02 sdB 4 01 38 26.93 +03 39 38.0 0.81 +11.1 −17.9 0 B97 B97 sdB 4 01 39 14.456 −27 43 21.81 2.20 +15.6 −22.9 −159 TW HE sdB 4 01 43 48.548 −24 05 10.22 0.26 +88.4 −46.2 +30 HIP HE sdB 4 01 45 39.57 +15 04 41.5 1.17 −17.4 −0.4 −131 B97 B97 sdB 4 01 48 44.038 −26 36 12.83 0.46 +90.6 −47.0 +27 HIP K sdB 4 01 53 11.196 −39 04 17.97 2.11 −7.4 −43.0 −176 TW HE sdB 4 02 15 11.078 +15 00 04.55 1.75 −3.8 −9.2 +50 B97 B97 sdB 4 02 15 41.602 +14 29 17.97 1.85 +11.2 −1.4 +77 B97 B97 sdB 4 HE 0000−2355 HE 0004−2737 PG 0004+133 HE 0021−2326 HE 0023−2317 HE 0031−2724 SB 290 HD 4539 PG 0039+049 HE 0049−2928 HE 0049+3059 SB 410 Feige 11 SB 459 HE 0123−2808 HE 0127−4325 HE 0128−4311 PG 0133+114 PHL 1079 HE 0136−2758 SB 707 PG 0142+148 SB 744 HE 0151−3919 PG 0212+148 PG 0212+143 continued next page 30 HE 0218−3437 HE 0218−4447 HE 0221−3250 HE 0225−4007 HE 0230−4323 HE 0231−3441 HE 0238−1912 PG 0242+132 HE 0255−1814 HE 0258−2158 HE 0307−4554 HE 0315−4244 HE 0319−5105 HE 0324−3749 HE 0340−3820 HE 0341−2449 PG 0342+026 HE 0343−4748 HE 0351−3536 HE 0405−1719 HE 0405−3839 HE 0407−1956 HE 0410−4901 HE 0419−2538 HE 0420−1806 HE 0429−2448 HE 0430−5341 continued next page Name Table 2.4: The spatial and kinematic data (cont.) α(2000.0)δ d µα cos δ µδ vrad h m s ◦ 0 00 [ ] [ ] [kpc] [mas/yr] [km s−1 ] 02 20 59.750 −34 23 35.19 0.81 +2.0 −2.8 +38 02 20 24.432 −44 33 28.47 0.64 +47.9 +1.7 −15 02 23 58.146 −32 36 32.61 1.60 +23.4 −34.0 −73 02 27 29.160 −39 53 37.89 1.29 +18.7 −20.9 +140 02 32 54.678 −43 10 27.79 1.03 −11.7 −9.2 −102 02 34 00.251 −34 27 54.90 1.02 +5.0 +20.3 −62 02 41 03.940 −19 00 11.48 0.97 −9.1 −17.2 −174 02 45 38.855 +13 26 02.41 1.39 +17.2 −9.7 +11 02 57 57.306 −18 02 07.54 2.82 +13.8 −11.9 +58 03 00 17.805 −21 46 31.16 1.78 −0.8 +2.2 +72 03 09 25.927 −45 43 33.08 1.02 +23.7 −7.4 −31 03 17 47.119 −42 33 41.24 5.21 +4.1 −4.5 +121 03 21 21.781 −50 55 15.79 2.90 +7.1 +7.0 +267 03 26 14.984 −25 18 37.95 1.14 −0.8 −10.8 +74 03 42 47.061 −38 11 26.43 1.43 +4.2 +7.8 −66 03 43 36.351 −24 39 46.76 1.13 +20.0 −5.0 +10 03 45 34.578 +02 47 52.81 0.36 +8.6 −28.9 +13 03 45 09.523 −47 38 53.96 2.12 +5.8 −2.7 +44 03 53 51.176 −35 27 35.26 0.86 −0.6 −8.2 +64 04 07 27.543 −17 11 15.50 0.91 −2.6 +15.8 +70 04 07 02.847 −38 51 46.09 1.47 +5.2 +2.8 −44 04 10 11.142 −19 48 53.59 0.96 +13.9 +41.7 −6 04 11 30.168 −48 53 47.96 1.71 +5.4 +10.7 −27 04 22 04.170 −25 31 00.46 1.29 +4.1 −8.2 −29 04 22 25.182 −17 59 19.38 5.13 +4.8 0.0 −64 04 31 28.288 −24 41 56.76 1.18 −5.6 −9.0 +15 04 31 11.068 −53 35 27.10 3.29 +19.3 −23.3 +63 Sourcea Astr. Sp. TW HE TW HE TW HE TW HE TW HE TW HE TW HE B97 B97 TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE TYC — TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE sdB sdB sdB HBB sdB sdB HBB sdB HBB sdB sdB sdB HBB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB HBB sdB HBB Type 4 4 4 5 4 4 5 4 5 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 5 4 5 Chapter 2.3. Data reduction and analysis 31 2. DATA AND DATA REDUCTION Name HE 0442−1746 HE 0444−4945 HE 0447−3654 HE 0452−3654 HE 0500−3518 HE 0504−2041 HE 0505−2228 HE 0505−3833 HE 0510−4023 HE 0516−2311 HE 0519−3512 HE 0521−3914 HE 0523−1831 HE 0532−4503 HE 0539−4246 PG 0856+121 PG 0907+123 PG 0918+029 PG 0919+273 PG 1101+249 PG 1114+073 PG 1232−136 PG 1233+427 Feige 66 PG 1256+278 PG 1343−101 HD 127493 continued next page Table 2.4: The spatial and kinematic data (cont.) α(2000.0)δ d µα cos δ µδ vrad [h m s ] [◦ 0 00 ] [kpc] [mas/yr] [km s−1 ] 04 44 34.883 −17 40 42.73 1.26 −5.3 +11.5 +18 04 46 14.091 −49 40 10.85 1.53 +9.4 +23.9 +75 04 49 15.625 −36 49 28.73 1.12 +16.5 −20.1 +128 04 53 52.657 −36 49 15.20 0.86 +7.4 +9.8 −62 05 02 31.672 −35 14 19.41 1.29 +8.3 +15.8 +19 05 06 39.673 −20 37 38.40 1.44 +7.1 +2.3 −11 05 07 47.457 −22 24 27.63 1.19 +16.6 +1.1 −12 05 06 58.854 −38 29 15.46 0.93 +3.1 +6.5 +69 05 12 18.203 −40 19 34.46 1.51 +3.3 −6.2 +49 05 18 06.975 −23 08 45.18 2.27 −17.9 +17.8 −12 05 20 48.576 −35 09 30.57 0.94 +1.2 −8.9 +228 05 23 25.477 −39 11 54.33 1.82 −15.0 +11.2 −87 05 25 31.316 −18 29 08.61 1.78 +4.8 −10.1 −6 05 33 40.499 −45 01 35.33 2.56 +8.2 −2.7 −166 05 41 06.688 −42 45 31.94 1.28 −0.2 +3.7 +71 08 59 02.723 +11 56 24.73 0.99 −19.4 −19.8 +85 09 10 07.6 +12 08 26.1 1.52 +6.4 −2.6 +85 09 21 28.230 +02 46 02.25 1.04 −28.5 −20.0 +104 09 22 39.830 +27 02 26.15 0.35 +22.9 −19.8 −65 11 04 31.731 +24 39 44.75 0.39 −30.3 +16.0 −48 11 16 49.670 +06 59 30.83 0.45 −12.3 −14.4 +9 12 35 18.915 −13 55 09.31 0.57 −46.4 −1.7 +55 12 35 51.641 +42 22 42.64 0.32 +3.6 −18.1 +61 12 37 23.517 +25 03 59.87 0.18 +2.7 −26.7 +1 12 59 21.266 +27 34 05.22 0.78 −24.6 +3.5 +64 13 46 08.069 −10 26 48.27 0.72 −28.0 −3.7 +49 14 32 21.492 −22 39 25.64 0.12 −32.8 −17.2 +13 Sourcea Astr. Sp. TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE B97 B97 B97 M02 B97 TM B97 B97 B97 B97 B97 TM B97 B97 B97 B97 HIP E67 B97 B97 B97 B97 HIP W53 sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB HBB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB Type 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 Chapter 32 PG 1432+004 PG 1433+239 PG 1452+198 PG 1519+640 PG 1619+522 HD 149382 PG 1647+252 PG 1708+602 PG 1710+490 PG 1716+426 PG 1722+286 PG 1725+252 PG 1738+505 UV 1758+36 HD 171858 HE 2134−4119 HE 2135−3749 HD 205805 HE 2137−4221 HE 2154−4143 HE 2155−1724 HE 2156−1732 HE 2156−3927 HE 2201−2136 HE 2203−3740 HE 2204−2136 PG 2204+035 continued next page Name Table 2.4: The spatial and kinematic data (cont.) α(2000.0)δ d µα cos δ µδ vrad h m s ◦ 0 00 [ ] [ ] [kpc] [mas/yr] [km s−1 ] 14 35 19.833 +00 13 47.96 0.76 −9.4 −25.8 +1 14 35 20.359 +23 45 27.52 0.47 −3.5 −18.5 −56 14 54 39.810 +19 37 00.88 0.81 −7.2 −21.0 +51 15 20 31.320 +63 52 07.95 0.65 +28.1 +41.2 +2 16 20 38.740 +52 06 08.78 0.77 −3.6 +9.0 −52 16 34 23.334 −04 00 52.02 0.08 −6.0 −3.9 +3 16 49 08.974 +25 10 05.74 0.71 −3.8 +12.3 +26 17 09 15.900 +60 10 10.79 1.79 −14.9 +12.1 −8 17 12 18.740 +48 58 35.88 0.72 +10.8 −7.0 −54 17 18 03.538 +42 34 18.40 1.20 +7.1 −21.8 −4 17 24 11.970 +28 35 26.93 0.87 −4.0 +10.0 −34 17 27 57.390 +25 08 35.69 0.66 −17.7 +9.0 −60 17 39 28.440 +50 29 25.11 0.97 −7.6 +9.0 +22 18 00 18.865 +36 28 56.34 0.20 −28.2 +7.3 0 18 37 56.675 −23 11 35.20 0.16 −15.0 −24.7 +74 21 37 59.914 −41 06 13.16 3.43 −7.0 −0.3 +64 21 38 40.590 −37 36 22.73 0.72 +5.3 +6.0 −156 21 39 10.614 −46 05 51.53 0.20 +76.4 −9.9 −57 21 40 09.544 −42 08 18.66 2.85 +0.2 −5.9 +33 21 58 01.977 −41 28 49.72 1.49 +5.3 +5.7 −15 21 58 15.920 −17 09 45.31 1.27 +11.6 −2.2 −27 21 59 30.144 −17 18 21.63 1.39 +8.7 −10.2 −77 21 59 35.504 −39 13 14.84 1.40 +4.4 +22.0 −200 22 04 06.714 −20 59 09.27 1.88 +9.2 −3.9 −23 22 06 27.426 −37 26 11.52 2.56 −4.9 +1.9 +63 22 07 12.285 −21 21 20.56 2.49 −5.5 −19.8 −13 22 07 16.490 +03 42 19.82 1.18 +7.5 −6.0 +81 Sourcea Astr. Sp. B97 TM B97 B97 B97 B97 TYC TM B97 M02 HIP W53 B97 B97 B97 B97 B97 TM G98 M02 B97 TM B97 M02 B97 B97 HIP HE HIP M02 TW HE TW HE HIP B97 TW HE TW HE TW HE TW HE TW HE TW HE TW HE TW HE B97 B97 sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB HBB sdB sdB HBB sdB sdB sdB sdB sdB HBB HBB sdB Type 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 5 4 4 4 4 4 5 5 4 Chapter 2.3. Data reduction and analysis 33 2. DATA AND DATA REDUCTION Name HE 2205−1952 HE 2213−4158 PG 2218+020 HE 2222−3738 PG 2226+094 PG 2259+134 Feige 108 Feige 109 PG 2337+070 HE 2337−2944 HE 2340−2806 SB 815 HE 2343−2944 HE 2349−3135 PG 2349+002 SB 884 HE 2355−3221 PG 2358+107 HE 2359−2844 Table 2.4: The spatial and kinematic data (cont.) α(2000.0)δ d µ cos δ µ vrad α δ [h m s ] [◦ 0 00 ] [kpc] [mas/yr] [km s−1 ] 22 08 41.304 −19 37 39.44 1.01 +7.5 −8.8 −52 22 16 17.704 −41 43 22.20 3.95 +5.6 +10.3 −4 22 21 24.83 +02 16 18.6 1.15 +1.1 −11.8 +21 22 24 56.433 −37 23 30.22 1.39 +32.0 −6.0 −134 22 28 58.41 +09 37 21.8 1.13 +14.3 +0.4 −48 23 01 45.82 +13 38 37.5 1.38 +0.6 −9.6 +16 23 16 12.41 −01 50 34.50 0.40 −7.8 −16.5 +40 23 17 26.890 +07 52 04.93 1.13 −1.2 +8.1 −37 23 40 04.83 +07 17 11.00 0.77 −19.1 −37.4 −27 23 40 15.331 −29 27 59.82 0.87 +14.3 +8.4 −26 23 42 41.388 −27 50 01.62 1.46 +1.7 +11.3 −20 23 44 22.008 −34 27 00.40 0.25 −22.3 −7.2 +24 23 46 17.749 −29 27 49.88 1.29 +5.5 −15.2 −0 23 51 43.637 −31 18 52.87 2.08 −6.6 −1.9 +180 23 51 53.26 +00 28 18.00 0.82 −10.1 −15.7 −84 23 52 36.092 −30 10 09.12 0.37 +30.4 −13.2 −3 23 58 22.471 −32 04 39.07 1.69 −0.1 −15.5 +61 00 01 06.730 +11 00 36.32 0.83 −3.0 −14.0 −19 00 01 38.463 −28 27 42.83 1.53 +7.8 −12.0 −129 Sourcea Astr. Sp. TW HE TW HE B97 B97 TW HE B97 TM B97 B97 B97 B97 B97 TM B97 B97 TW HE TW HE HIP HE TW HE TW HE B97 B97 HIP HE TW HE B97 B97 TW HE sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB sdB Type 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 Chapter a : References of sources of data. The column called “Astr.” means astrometric data, “Sp.” refers to spectroscopic and photometric data sources (i.e. radial velocities and the used for the calculations of the distances): The abbreviations mean: TW: This work, HE: Edelmann, B97: de Boer et al. 1997a, HIP: Hipparcos catalogue (ESA 1997), TYC: the Tycho2 catalogue (Høg et al. 2000), M99: Moran et al. 1999, M02: Morales-Rueda et al. 2002, TM, Marsh (priv comm.) 34 2.4. The final sample galaxy proper motions, which is consistent with our value, taking into consideration that their epoch difference is more than twice of ours. A typical example is represented in Figure 2.4. The errors are almost as large as the values in all but a few cases, so that the proper motion was not really improved by the correction. We nevertheless applied the galaxy calibration to put the proper motion in the extragalactic reference frame, to eliminate systematic effects, such as the general motion of stars in that particular field. 2.4 T HE FINAL SAMPLE Table 2.4 shows the input values (coordinates, proper motions and radial velocities) for the further calculations and analyses as described in Chapters 4 and 5. All stars not further considered (whose measurement results are shown in the other data tables for reasons of completeness) are omitted in this table. Apart from the HE-stars, of which the data reduction was described in this chapter, we also show the objects taken from literature (Hipparcos, de Boer et al. 1997a etc.), with the according source listed in Table 2.4. Also listed are the sources of the radial velocities and distances. The final sample includes 114 sdB stars and 19 HBB stars with magnitudes 8.9 to 17 mag. Most of the stars have V magnitudes between 13 and 16, placing them at distances of between 0.7 and 2.5 kpc. The HBBs are on average at larger distances, the PG and HE stars being at distances larger than 2 kpc. Accordingly, their tangential velocities have much greater errors. 35 2. DATA AND DATA REDUCTION 36 C HAPTER 3 K INEMATICAL TRENDS AMONG THE FIELD HORIZONTAL BRANCH STARS C OLLABORATORS : K LAAS S. DE B OER A BSTRACT: Horizontal branch (HB) stars in the field of the Milky Way can be used as tracers for the study of early stages of the evolution of our galaxy. Since the age of individual HB stars is not known a priori, we have studied the kinematics of a sample of field HB stars measured with Hipparcos to look for signs of age and population nature. Our sample comprises 14 HBA, 2 HBB and 5 sdB/O stars. We found that the kinematics of the HBA stars is very different from that of the sdB/O stars (including those from an earlier study). The HBA stars have low orbital velocities, some are even on retrograde orbits. Their orbits have large eccentricities and in many cases reach large distances above the galactic plane. In contrast, the sdB/O stars show disk-like orbital characteristics. The few HBB stars (with Teff > 10, 000 K) in our sample seem to have kinematics similar to that of the sdB/O stars. In order to see if there is a trend among the HB stars in their kinematics, we investigated also RR Lyrae stars measured with Hipparcos. Here we found a mixed kinematical behaviour, which was already known from previous studies. Some RR Lyrae stars have disk-like orbits (most of these being metal-rich) but the majority has halo-like orbits, very similar to those of our HBA stars. Since the atmospheres of most types of HB stars do not reflect original metallicities any more the kinematics is the only aspect left to study the origin and population membership of these stars. Thus, the clear trend found in kinematics of stars along the HB, which is also a sequence in stellar mass, shows that the different kinds of field HB stars arose from stars having different origins in age and, e.g., metallicity or mass loss rate. 3.1 I NTRODUCTION : HB- STARS , THEIR POPULATION MEMBERSHIP AND THE GALACTIC STRUCTURE Field HB stars with accurately known distances such as those with Hipparcos data (ESA 1997) are excellently suited for an analysis of the distribution of older populations (see Chapter 1). Unfortunately the number of such stars in the Hipparcos catalogue is very small. Including their kinematics and orbits into the analysis enables us to obtain results that give us a clearer view of the kinematic characteristics and population membership of these stars. Furthermore it may enable us to study the kinetic properties of these populations themselves, using the stars as tracers (see Chapter 1). In this chapter we have attempted to perform a similar analysis for HBA and HBB stars (for short: HBA/B stars). Our sample consists of the local HB stars which were observed by the Hipparcos satellite. These are the HB-like stars with the most accurate spatial and kinematic data available to date. However, only for a few HBA/B stars are the parallaxes accurate enough to calculate reliable distances 37 3. K INEMATICAL TRENDS AMONG THE FIELD HORIZONTAL BRANCH STARS (de Boer et al. 1997d). For the other stars the distance still must be derived from photometry. Here one needs to know the absolute magnitude of field horizontal branch stars. Especially since the publication of the Hipparcos catalogue a lot of effort has gone into fixing this value. However, this has not yet led to total agreement. For a review of various approaches to solving this problem we refer to de Boer (1999) and Popowski & Gould (1999). An important parameter in these studies is the metallicity of the stars, as it is generally thought to be correlated with age. For dwarf stars metallicities can be estimated using photometric indices or spectroscopy (see the summary by Majewski 1993). For HB stars this is, unfortunately, not a trustworthy method. The atmospheres of many HB stars have most probably been altered chemically with respect to the original composition. Gravitational settling of heavy elements in the sdB/O star and possibly HBB star atmospheres leads to a present lower content of elements like He, while levitation of heavy elements leads to atmospheres with enhanced abundances of certain elements like Fe or Au as found in several field horizontal branch stars, e.g. Feige 86 (Bonifacio et al. 1995). Levitation must also be the explanation for the high metal abundances in blue HB stars in M 13 (Behr et al. 1999) and NGC 6752 (Moehler et al. 1999) finally uncovered to explain deviant flux distributions near the Balmer jump of globular cluster blue HB stars (Grundahl et al. 1999). Therefore, original metallicities (as well as the original masses) are no longer accessible quantities. Determining the kinematic properties can help deciding which of the HB stars are intrinsically more metal-poor and which are more metal-rich, and hence of somewhat younger origin. The main subjects of our study are the HBA/B stars which are located in the colour magnitude diagram on the horizontal branch between the RR-Lyrae stars and the hot subdwarfs. Unfortunately the main sequence crosses the HB at the HBB region, so that HBB stars can be confused with normal B stars. Therefore we have only few HBB stars in our sample. We mainly focus on HB stars with temperatures lower than 10000 K which lie above the main sequence. Sect. 3.2 deals with the data necessary for our study. In Sect. 3.2.3 we determine the absolute magnitudes and distances of the HBA/B and sdB/O stars with the method of auto-calibration using the shape of the HB defined by the stars with the best Hipparcos parallaxes. In Sect. 3.3 we discuss the kinematical behaviour of the HBA/B and sdB/O stars and make comparisons with the results of de Boer et al. (1997b). To further explore a possible trend in kinematics of stars along the HB we investigate (Sect. 3.4) the orbits of a sample of RR-Lyrae stars. 3.2 3.2.1 T HE DATA C OMPOSITION OF THE SAMPLE Our sample consists of the Hipparcos (ESA 1997) measured HB stars. In order to identify them we searched through lists of bright HB-candidates in publications concerning horizontal branch stars, such as Corbally & Gray (1996), Huenemoerder et al. (1984), and de Boer et al. (1997d) for the HBA/B stars and Kilkenny et al. (1987) for sdB/O stars. However, for a few stars in these lists indications exist that they are probably not horizontal branch stars. Among these are HD 64488 (Gray et al. 1996), HD 4772 (Abt & Morrell 1995; Philip et al. 1990), HD 24000 (Rydgren 1971), HD 52057 (Waelkens et al. 1998; Stetson 1991) and HD 85504 (Martinet 1970). This sample, although being of limited size, represents the HB stars with by far the best kinematical data currently available. Two further stars are HB-like but were excluded from the study nevertheless. BD +32 2188 has a rather low value for log g so that it lies considerably above the ZAHB in the log g − Teff diagram. Being metal deficient (Corbally & Gray 1996) it can be considered a horizontal branch star evolving 38 3.2. The data Table 3.1: Physical properties of the sample of horizontal branch stars. Name HIP V a B − V a EB−V b δMV b Typec Teff log g Sourced [mag] [mag] [mag] [mag] [K] HD 2857 2515 9.967 0.219 0.050 −0.001 HBA 7700 3.1 GCP, HBC HD 14829 11124 10.228 0.023 0.020 −0.580 HBA 8700 3.3 GCP HD 60778 36989 9.131 0.135 0.020 −0.040 HBA 8600 3.3 GCP, S91, HBC HD 74721 43018 8.717 0.042 0.000 −0.330 HBA 8600 3.3 GCP, S91, HBC HD 78913 44734 9.291 0.094 0.030 −0.215 HBA 8700 2.5 IUE-fit, S91 HD 86986 49198 8.000 0.119 0.035 −0.130 HBA 7900 3.1 B97b, S91 BD +36 2242 59252 9.904 −0.065 0.010 −1.188 HBB 11400 4.4 HBC HD 106304 59644 9.077 0.027 0.040 −0.696 HBA 9500 3.0 IUE-fit, S91 BD +42 2309 60854 10.820 0.043 0.000 −0.324 HBA 8400 3.3 GCP HD 109995 61696 7.603 0.047 0.001 −0.307 HBA 8300 3.15 B97b, S91 BD +25 2602 64196 10.148 0.057 0.065 −0.659 HBA S91 HD 117880 66141 9.059 0.082 0.015 −0.201 HBA 9200 3.4 GCP, S91, HBC Feige 86 66541 10.006 −0.140 0.050 −2.193 HBB 15300 4.1 HBC HD 130095 72278 8.155 0.032 0.064 −0.840 HBA 8800 3.15 B97b, S91 HD 139961 76961 8.857 0.098 0.107 −0.666 HBA 8750 3.3 B97b, S91 HD 161817 87001 7.002 0.166 0.020 −0.001 HBA 7500 2.95 B97b, S91 CD −38 222 3381 10.400 −0.224 0.013 −2.639 sdB 28200 5.5 B97b, B97a Feige 66 61602 10.602 −0.286 0.040 −3.556 sdB 28000 4.9 KHD, S94 HD 127493 71096 10.040 −0.251 0.095 −3.756 sdO 40000 5.8 KHD HD 149382 81145 8.872 −0.280 0.050 −3.598 sdOB 40000 5.8 KHD, S94 HD 205805 106917 10.158 −0.241 0.025 −2.929 sdB 25000 5.0 B97b, B97a a) V , B − V from the Hipparcos Catalogue b) E B−V , δM , see Sect. 3.2.2 and 3.2.3 c) Type: HBA stars: T eff < 10500 K; HBB stars: 20000 K > Teff ≥ 10500 K; sdB/O stars: from literature (see under source) d) The values for log g and T eff have been taken from the first work cited. HBC: Huenemoerder et al. (1984), GCP: Gray et al. (1996), B97a: de Boer et al. (1997b), B97b: de Boer et al. (1997d), KHD: Kilkenny et al. (1987) and references therein, S91: Stetson (1991), S94: Saffer et al. (1994), IUE-fit: see Sect. 3.2.2 away from the ZAHB. Because the evolutionary state is not fully HB the star cannot be part of our sample. HD 49798 is a subluminous O-star. However, its log g is relatively low and its trigonometrical parallax implies a star with absolute brightness of about −2 mag, far too bright for a normal sdO star. It is probably on its way from the horizontal branch to become a white dwarf or it is a former pAGB star. Because of these aspects we excluded this star. A large fraction of the known horizontal branch stars has no published radial velocity and could therefore not be used for our study. A few stars had radial velocities but no Hipparcos data. There is no constraint on the position, so that the sample stars are located in all parts of the sky. However, as many studies were made in fields near the galactic poles we have relatively more stars at very high galactic latitudes. Although our sample of stars is certainly not statistically complete in any way, we do not expect noticeable selection effects due to position in the sky (see Sect. 3.5). 39 3. K INEMATICAL TRENDS AMONG THE FIELD HORIZONTAL BRANCH STARS Table 3.2: Spatial and kinematical data for the starsa of our sample Name RA (Eq. 2000.0) DEC µα cosδ µδ ∆µα cosδ ∆µδ π ∆π d vrad ref.b ◦ 0 00 hr, min, sec mas/yr mas/yr mas/yr mas/yr mas mas pc km s−1 vrad HD 2857 00 31 53.80 −05 15 42.3 −6.85 −66.05 1.58 0.85 1.79 1.67 687 −149 CG HD 14829 02 23 09.23 −10 40 38.9 +31.31 −46.85 1.89 1.58 4.40 1.96 619 −176 P69 HD 60778 07 36 11.79 −00 08 14.9 −20.92 −84.04 1.21 0.73 2.35 1.23 479 +39 eE HD 74721 08 45 59.29 +13 15 49.6 −41.83 −112.42 1.31 0.93 0.34 1.46 356 +9 eE HD 78913 09 06 54.78 −68 29 22.1 +36.48 +22.87 0.95 0.80 2.69 0.88 469 +313 cE HD 86986 10 02 29.48 +14 33 27.0 +144.06 −208.27 1.05 0.53 3.78 0.95 267 +9 bE BD +36 2242 12 09 15.84 +35 42 42.9 −5.57 −1.83 1.20 0.88 1.83 1.25 409 −4 dE HD 106304 12 13 53.63 −40 52 23.7 −90.36 −117.00 0.99 0.71 2.83 1.12 336 +95 cE BD +42 2309 12 28 22.18 +41 38 52.7 −21.30 −33.61 1.19 1.39 0.47 1.76 942 −152 dE HD 109995 12 38 47.69 +39 18 32.9 −114.81 −144.19 0.83 0.68 4.92 0.89 215 −132 BB BD +25 2602 13 09 25.64 +24 19 25.3 −84.51 −18.73 1.83 1.44 1.40 1.54 540 −74 eE HD 117880 13 33 29.86 −18 30 53.1 −85.65 −140.33 1.18 0.75 4.80 1.10 433 −45 cE Feige 86 13 38 24.77 +29 21 57.0 −15.34 −109.79 1.49 0.92 4.61 1.65 255 −22 cE HD 130095 14 46 51.35 −27 14 53.3 −213.89 −79.77 1.29 0.75 5.91 1.08 199 +58 BB HD 139961 15 42 52.97 −44 56 40.0 −187.04 −92.41 1.28 1.19 4.50 1.19 280 +145 dE HD 161817 17 46 40.65 +25 44 57.3 −37.05 −43.23 0.50 0.57 5.81 0.65 183 −363 bW CD −38 222 00 42 58.28 −38 07 37.2 +43.85 −7.00 1.88 1.23 3.07 1.73 262 −52 GS Feige 66 12 37 23.52 +25 04 00.1 −2.72 −26.71 1.80 1.36 5.11 1.74 182 +1 cE HD 127493 14 32 21.51 −22 39 25.5 −32.80 −17.22 1.45 1.37 5.21 1.49 118 +13 bW HD 149382 16 34 23.34 −04 00 52.0 −5.95 −3.92 1.83 1.73 13.07 1.29 79 +3 cW HD 205805 21 39 10.55 −46 05 51.4 +76.39 −9.93 1.20 0.90 3.77 1.70 201 −57 B97a a) Positions, proper motions and parallaxes (with errors) listed in this table are from the Hipparcos Catalogue, the distances, as derived in Sect. 3.2.3 b) References for radial velocities: E: The Revision of the General Catalogue of Radial Velocities (Evans 1967), W: The General Catalogue of Radial Velocities (Wilson 1953); here the small case letters indicate the quality of the radial velocity: a: ∆vrad < 0.9 km s−1 , b:∆vrad < 2.0 km s−1 , c: ∆vrad < 5.0 km s−1 , d: ∆vrad < 10.0 km s−1 , e: ∆vrad > 10.0 km s−1 . B97a: de Boer et al. (1997b), BB: Barbier-Brossat (1989), CG: Corbally & Gray (1996), GS: Graham & Slettebak (1973), P69: Philip (1969) 40 3.2. The data 3.2.2 P HYSICAL PROPERTIES OF THE STARS , EXTINCTION While many of the stars are classical template HB stars, like HD 2857, HD 109995, HD 130095 or HD 161817, others are not as well studied. For most of our stars values for log g and Teff are available in the literature from a variety of methods. Sources are given in Table 3.1. For HD 78913 and HD 106304 log g and Teff were derived from a fit of Kurucz models to spectrophotometric IUE data and photometry. For BD +25 2602 no data are available to determine log g and Teff . We keep it as part of our sample, as it was identified as a horizontal branch star by Stetson (1991). Wherever possible we took the values for EB−V from de Boer et al. (1997d), supplemented by values listed in Gratton (1998). For the other stars we derived the EB−V , with (B − V )- and (U − B)values taken from the SIMBAD archive and a two-colour-diagram. Note that with this method there may well be metallicity dependent effects having an influence on the reddening derived. For the star CD −38 222 no (U − B) data are available; the reddening is very small as follows from the IRAS maps of Schlegel et al. (1998). We adopted the value from that study. 3.2.3 A BSOLUTE MAGNITUDES AND DISTANCES We obtained the distances of the HB stars using the absolute magnitude of the relevant portion of the HB rather than directly using the Hipparcos parallaxes. The reason for this is that most of the parallaxes are smaller than 3 mas which means that their error of on average 1 mas is too large to calculate accurate distances. The absolute magnitudes MV , which are a function of the temperature and thus of (B − V )0 , have been derived through self calibration as follows. We started with the determination of the shape of the field horizontal branch. For this we calculated the absolute magnitudes of those HB and sdB/O stars which have reasonably good parallaxes. For the determination of the mean absolute magnitude of the HB sample we excluded HD 74721 and BD +42 2309 because their absolute magnitudes, calculated from their parallaxes, are too bright by more than 3.5 magnitudes. Also excluded at this point are HD 14829 and HD 117880, whose parallaxes lead to absolute magnitudes far too faint. With this medianization (leaving out the extremes to both sides) we ensure that our result is not affected by stars with extreme values. Furthermore the stars having parallaxes with ∆π/π > 1 were excluded for the determination of the shape of the HB. We then fitted by eye a curve to our sample in the colour magnitude diagram. In order to smooth this curve, it was approximated by a polynomial. Note that we aim to fit the observed parameters of the field horizontal branch and that we do not rely on a shape taken from globular clusters or theoretical models (see Fig. 1). From this we determined the value δMV giving the difference of MV for each (B − V )0 with respect to MV at (B − V )0 =0.2 mag. Although the available metallicity measurements show a large spread for individual stars (see table II of Philip 1987), the averages for each lie around [Fe/H] ∼ −1.5 dex. Since the effect of metallicity on MV is small for RR Lyr stars (about 0.1 mag per 0.5 dex, see de Boer 1999) we will neglect the metallicity effects for the HBA stars. Distances and absolute magnitudes of a sample of stars obtained through trigonometric parallaxes have to be corrected for the Lutz-Kelker bias (Lutz & Kelker 1973). This statistical effect, depending on the relative error of the parallaxes, leads to an over-estimation of the parallax on average, leading to too faint absolute magnitudes and too short distances of the sample. The correction we applied is based on the averaging of parallaxes. For that we have to correct the parallaxes of individual stars, acknowledging that such a correction is only valid in a statistical sense. 41 3. K INEMATICAL TRENDS AMONG THE FIELD HORIZONTAL BRANCH STARS Figure 3.1: Colour magnitude diagram showing the stars of our sample and the curve which was used as the shape of the FHB. Hexagons: HBA/B stars (open symbols mean stars not used for the fit), crosses mean sdB/O stars, the square depicts RR Lyrae. The expected parallax π ∗ given by π ∗ = 100.2[MV −V −δMV ]−1+0.62EB−V (3.1) with MV being the absolute magnitude, V the apparent magnitude, EB−V the reddening. δMV is a term which accounts for the temperature and/or B − V dependence of the absolute magnitude of BHB stars in the same way as done by Gratton (1998). Now MV is varied and χ2 (MV ) = X (πi∗ (MV ) − πi )2 /(∆πi )2 (3.2) i is calculated (formula as revised by Popowski & Gould 1999). At the correct MV the average of χ2 should be minimised. 42 3.2. The data Table 3.3: Orbital and kinematical characteristics Ra Rp zmax ecc nze U V W Θ Iz Type −1 −1 [kpc] [kpc] [kpc] [km s ] [kpc km s ] HD 2857 11.81 0.44 6.47 0.93 1.04 +156 +25 +67 +29 +251 HBA HD 14829 11.29 2.69 8.11 0.62 1.01 +108 +71 +156 +71 +622 HBA HD 60778 9.35 2.41 4.56 0.59 0.56 +53 +82 −115 +80 +714 HBA HD 74721 8.65 1.95 4.42 0.63 0.59 +22 +70 −109 +69 +606 HBA HD 78913 9.52 1.79 0.38 0.68 0.05 +107 −77 +24 −83 −695 HBA HD 86986 16.96 0.33 13.26 0.96 1.63 +248 +24 +50 +20 +217 HBA BD +36 2242 9.96 8.58 0.42 0.04 0.05 +3 +227 +3 +227 +1945 HBB HD 106304 8.42 1.65 7.27 0.67 1.62 −22 +38 −150 +39 +327 HBA BD +42 2309 9.96 0.91 5.26 0.83 0.89 +29 +34 −110 +35 +300 HBA HD 109995 9.41 0.48 5.52 0.90 1.00 +4 +30 −96 +30 +258 HBA BD +25 2602 10.80 1.51 1.71 0.75 0.18 −146 +72 −53 +72 +607 HBA HD 117880 8.91 4.17 9.29 0.36 4.89 −55 −28 −199 −26 −217 HBA Feige 86 9.18 2.95 0.27 0.51 0.03 +76 +117 −7 +118 +995 HBB HD 130095 8.94 0.49 5.13 0.90 0.93 −58 +30 +65 +31 +258 HBA HD 139961 8.26 1.57 1.68 0.68 0.22 +3 −69 +81 −69 −568 HBA HD 161817 12.51 1.30 7.36 0.81 0.74 −169 −54 −129 −56 −473 HBA CD -38 222 9.31 7.29 1.23 0.12 0.13 −38 +206 +59 +207 +1749 sdB Feige 66 9.10 7.76 0.22 0.08 0.02 +24 +217 +8 +217 +1841 sdB HD 127493 8.53 7.71 0.20 0.05 0.02 +10 +212 +15 +212 +1780 sdO HD 149382 9.64 8.33 0.13 0.07 0.01 +13 +233 +10 +233 +1966 sdB HD 205805 11.48 6.72 0.19 0.26 0.02 −82 +225 −3 +225 +1880 sdB Note: Due to a change in the convention (see Geffert 1998), the values of Iz have changed their sign (positive Θ have now positive Iz ) in contrast to previous work (e.g. de Boer et al. 1997b) Name MV is now found using all stars, regardless of their ∆π/π, except the four excluded above. We arrived at an absolute magnitude of MV = 0.63 ± 0.08 mag for the horizontal part ((B − V )0 ∼ 0.2 mag) of the horizontal branch. As stated before this value should be valid for [Fe/H]∼ −1.5 dex. However, as the curve defining the shape of the HB is subjective to a certain extent the real error of the HB’s absolute magnitude is somewhat larger. The absolute magnitudes and thus the distances of the individual stars including those omitted earlier are obtained by adding their δMV to the mean absolute magnitude of the HB. 3.2.4 P ROPER MOTIONS AND POSITIONS Positions and proper motions used in this work were taken from the Hipparcos catalogue (ESA 1997). The mean error of the proper motions is below 1.5 mas/yr (see Table 3.2) which means an error in the tangential velocity of 3.5 km s−1 for a star at a distance of 500 pc. As most of our stars have smaller distances the error caused by the proper motion uncertainty is even smaller. No star of the sample of HBA/B or sdB/O stars has an astrometric flag in the Hipparcos catalogue, indicating there were no problems in the data reduction. The Hipparcos goodness-of-fit statistic is below +3 in all cases, meaning that the astrometric data derived from the Hipparcos catalogue should be reliable and there are no indications that our sample contains double stars. 43 3. K INEMATICAL TRENDS AMONG THE FIELD HORIZONTAL BRANCH STARS Figure 3.2: Orbits of the HBA/HBB stars displayed in meridional cuts. The orbits shown here have been calculated for 10 Gyr, in order to make the shape of the orbit better visible. For orbits of sdB stars see de Boer et al. (1997b). 3.2.5 R ADIAL VELOCITIES The radial velocities were taken from original sources (see Table 3.2), in part found from the Hipparcos Input Catalogue (Turon et al. 1992). The typical uncertainties are about 10 km s−1 , so that they should not have a large effect on our results. The size of our sample was limited to a large extent by the lack of radial velocities; for only about 30% of the HB-candidates radial velocities could be found. Radial velocities can be affected by binarity of the star. We cannot absolutely exclude this possibility for some of the stars, but as noted in Sect. 3.2.4 there are no indications for binary nature for any of our stars. 44 3.3. Kinematics and orbits For some stars, Corbally & Gray (1996) found drastically different values for the radial velocity. They note however that in many of these cases their values may be affected for some reason (see their Sect. 4) as they show strong deviations with respect to values from the literature. We therefore used radial velocities from Corbally & Gray only for HD 2857 for which no other value is available. 3.3 K INEMATICS AND ORBITS In order to gain information about the nature and population membership of the stars we analyse their kinematic behaviour and calculate their orbits. 3.3.1 C ALCULATING ORBITS AND VELOCITIES Before calculating the orbits the observational data have to be transformed into the coordinates of the galactic system (X, Y, Z; U, V, W ). In this coordinate system X points from the Sun in direction of the galactic centre with its origin in the galactic centre, Y points into the direction of the galactic rotation at the position of the sun, and Z toward the north galactic pole. The same applies to the corresponding velocities U , V , W . The orbits are calculated using the model for the gravitational potential of our Milky Way by Allen & Santillan (1991a) which was developed to be used in an orbit calculating program Odenkirchen & Brosche (1992) This model has been extensively used in the studies of de Boer et al. (1997b), Geffert (1998) and Scholz et al. (1996). There are several other models available which yield similar results as long as the orbits do not extend to extreme distances from the galactic centre (Dauphole et al. 1996). The model of Allen & Santillan (1991a) is based on ΘLSR = 220 km s−1 and RLSR = 8.5 kpc. The values for the peculiar velocity of the Sun used in the calculations in this paper are Upec, = 10 km s−1 , Vpec, = 15 km s−1 , Wpec, = 8 km s−1 . To determine the parameters zmax , the maximum height reached above the galactic plane and Ra and Rp , the apo- and perigalactic distances, we calculated the orbits over 10 Gyr. This for certain does not give true orbits as the orbits are probably altered in time by heating processes. However this long timespan allows to better show the area the orbit can occupy in the meridional plane (see Fig. 2). As in de Boer et al. (1997b), we also calculated the eccentricity ecc of the orbit, given by ecc = Ra − Rp Ra + Rp (3.3) zmax . $(zmax ) (3.4) and the normalised z-extent, nze, given by nze = The parameter nze is more relevant than zmax , since it accounts for the effect of diminished gravitational potential at larger galactocentric distance $. To assign a star to a population often the U, V, W -velocities and their dispersions are used, as well as the orbital velocity Θ. For stars near the Sun (small Y ), the V velocity is nearly the same as Θ. However, for stars further away from the Sun’s azimuth, Θ becomes a linear combination of U and V . Therefore Θ should be preferred. In order to make comparisons with results from other studies, we use both U, V, W and Θ. The values for the velocities, angular momentums and orbital parameters of our stars are shown in Table 3.3. 45 3. K INEMATICAL TRENDS AMONG THE FIELD HORIZONTAL BRANCH STARS Table 3.4: Mean velocities (Φ, Θ, W , upper half) , angular momentum (IZ ) and orbital parameters (ecc, nze, lower half) for various subsamples of HB stars Types subsample HBA HBB sdB/O sdB RR Lyr RR Lyr RR Lyr RR Lyr RR Lyr Types this paper this paper & Schmidt (1996) this paper this paper & de Boer (1997b) all [Fe/H] > −0.9 −0.9 >[Fe/H]> −1.3 −1.3 >[Fe/H]> −1.6 −1.6 <[Fe/H] subsample HBA HBB sdB/O sdB RR Lyr RR Lyr RR Lyr RR Lyr RR Lyr this paper this paper & Schmidt (1996) this paper this paper & de Boer (1997b) all [Fe/H] > −0.9 −0.9 >[Fe/H]> −1.3 −1.3 >[Fe/H]> −1.6 −1.6 <[Fe/H] number of stars 14 6 5 44 32 7 7 10 8 number of stars 14 6 5 44 32 7 7 10 8 Φ σΦ −1 km s −20 108 −22 96 +15 40 +9 59 −26 145 +34 35 −71 118 −51 181 −7 157 IZ σIZ kpc km s−1 155 447 1382 558 1846 74 1660 312 721 968 1843 441 441 912 357 630 439 970 Θ σΘ −1 km s +17 52 +151 55 +219 9 +194 48 +80 114 +218 37 +43 109 +32 74 +51 107 nze σnze 1.10 0.24 0.04 0.25 0.86 0.08 0.88 1.54 0.68 1.15 0.15 0.05 0.17 1.50 0.05 0.57 2.43 0.47 W σW −1 km s −37 104 −4 43 +21 40 −3 54 −3 87 −14 31 −12 75 −12 110 +25 93 ecc σecc 0.74 0.41 0.12 0.15 0.59 0.19 0.64 0.68 0.65 0.16 0.27 0.08 0.11 0.33 0.13 0.38 0.40 0.30 We calculated the errors of the velocity components and the orbital velocity using Monte Carlo simulations of Gaussian distributions to vary the input parameters within their errors as described by Odenkirchen (1991). This is neccesary rather than just calculating errors using Gauss error propagation laws because the parameters are significantly correlated. For the error calculation we used the software of Odenkirchen (priv. comm.). The proper motion errors were taken from the Hipparcos catalogue. The errors of the distances were calculated from the error in absolute magnitude as derived in Sect. 3.2.3. We took the errors of the radial velocities as published in the respective articles. For those radial velocities of Wilson (1953) and Evans (1967). having quality mark “e”, meaning the error is larger than 10 km s−1 , we used 15 km s−1 as error. This is justified as can be seen by comparison of these values with those of other studies. Generally the error in the velocity components is less than 10 km s−1 . Only a few stars have somewhat larger errors, the largest error in Θ being 12 km s−1 . For the HBA/B stars the typical value of ∆Θ is about 7 km s−1 , for the on average closer sdB/O stars ∆Θ is 1 to 2 km s−1 . We estimated errors for nze, ecc, Ra and Rp because they have not been used individually in the interpretation. Moreover the larger values of nze are very sensitive to small variations in the shape of the orbit. This especially applies to stars having chaotic orbits. Variations in the input distance modulus showed that the resulting variations in all of these quantities except nze are relatively small in most cases. For a discussion of overall effects on a sample see de Boer et al. (1997b). 46 3.3. Kinematics and orbits 3.3.2 M ORPHOLOGY OF THE ORBITS The orbits of the HBA/B stars show a large variety of shapes. Nearly all of the cooler HBA stars have a small perigalactic distance (Rp ≤ 3 kpc) and the most extreme case, HD 86986, reaches a perigalactic distance of only 0.4 kpc. The single exception is HD 117880, which has a Rp of nearly 4 kpc. Four stars have truly chaotic orbits, the rest has boxy type orbits, but some of these show signs of chaotic behaviour as well. HD 79813 has an orbit staying very close to the disc, while HD 117880 orbits nearly perpendicular to the galactic plane. On the whole about half of our stars have orbits which are chaotic or show signs of that. This agrees quite well with the results of Schuster & Allen (1997) who analysed a sample of local halo subdwarfs. Most of the stars have apogalactic distances of ' 8 to 11 kpc, just one star (HD 86986) goes well beyond. The reason for this clumping in Ra is not physical but due to selection effects. Stars with Ra ≤ 7.5 kpc never venture into the observable zone (at least observable by Hipparcos). On the other hand the probability of finding the stars is greatest when they are near their major turning point, Rp . So it is clear that the mean Ra , as well as to a lesser extent the eccentricity, are affected by selection effects. Stars belonging to the thin disk would have orbits with very small eccentricities and nze values (solar values: ecc= 0.09, nze= 0.001, see de Boer et al. 1997b), while thick disk stars would have larger values on average. Halo stars have generally orbits with large eccentricities while their nze show a large range. The eccentricities of the HBA star orbits are very large, ranging from 0.5 to nearly 1.0, the values for nze vary by a huge amount, from 0.04 (HD 78913) to 5 (HD 117880). The stars BD +36 2242 and Feige 86 are exceptions, their values for both parameters are more appropriate for disk objects. We note that these two stars are the hottest of the HBA/B sample. The kinematics of the four HBB stars from Schmidt (1996) show overall behaviour similar to that of BD +36 2242 and Feige 86 (Fig. 2). All of these are hotter than 11000 K, the Teff of BD +36 2242. The star HD 117880 features an orbit somewhat dissimilar from the others. While its nze is very high, its eccentricity is by far the lowest of the sample of HBA stars. 3.3.3 V ELOCITY COMPONENTS AND DISPERSIONS The HBA stars (Teff ≤ 10,000 K) have a mean orbital velocity of Θ = 17 km s−1 , lagging about 200 km s−1 behind the local standard of rest. However, the velocity dispersions are large: 102, 53 and 95 km s−1 in U , V , W respectively. This shows that there are many stars with a non disk-like kinematical behaviour in the sample of HBA/B stars. They therefore belong to the galactic halo population rather than to the disk. The orbital velocities of the HBA stars in the sample do not have a Gaussian distribution, as one might have expected. Instead, they seem to have a somewhat flatter distribution (see Fig. 4). About 75% of our stars have prograde velocities, four stars have retrograde orbits. However the exact distribution cannot be studied reliably due to the limited number of stars at disposal. Both the analysis of the kinematic properties and the shapes of the orbits imply that the HBA/B stars mostly are members of the galactic halo population. However, there seems to be a difference in kinematics and hence population membership between the cooler and the hotter stars. Stars cooler than about 10,000 K have low orbital velocities and a large spread in nze. In contrast to this are the hotter stars whose kinematics and orbits are consistent with those of disk objects. The HBB stars of 47 3. K INEMATICAL TRENDS AMONG THE FIELD HORIZONTAL BRANCH STARS Figure 3.3: Kinematic trend of stars along the field horizontal branch characterised by eccentricity, normalised z-extent and orbital velocity as plotted against effective temperature Teff and B−V . Upper row, panels a) and b): eccentricity (ecc); Middle row, panels c) and d): normalised z-extent (nze); Bottom row, panels e) and f): orbital velocity (Θ). The left side (panels a, c and e): versus Teff , showing the hotter part of the FHB. Right side (panel b, d and f): versus B − V , highlighting the cooler part. Filled symbols show the stars with Hipparcos data, open symbols the sdB and HBB stars from de Boer et al. (1997) and Schmidt (1996). sdB/O stars are depicted by squares, HBB and HBA by hexagons. The RR Lyraes are plotted with pentagons subdivided according to their metallicity (full: [Fe/H]< −1.6 dex, half full: −1.6 <[Fe/H]< −1.3 and −1.3 <[Fe/H]< −0.9 dex, open [F e/H] > −0.9 dex). 48 3.4. RR Lyrae stars Schmidt (1996) which are all hotter than 10,000 K behave like sdB stars, too. 3.3.4 K INEMATICS OF SD B/O STARS The sample of sdB/O stars show classical disk behaviour: Their mean orbital velocity is Θ = 219 km s−1 , meaning a negligible asymmetric drift. The V velocity dispersion (which is also the dispersion in Θ, because the stars are in the solar vicinity) is relatively small, similar to that of old thin disk orbits, while the dispersion in U is much larger, fitting to thick disk values. The dispersion σW is somewhere in between. These values are quite similar to those of the sdB star sample of de Boer et al. (1997b). Until now no population of field sdB stars with halo kinematics has been found. Yet, hot subdwarfs of the horizontal branches of halo globular clusters are, of course, well known (see e.g. Moehler et al. 1997). 3.3.5 T REND OF KINEMATICS ALONG THE HB? Given the results above there seems to be a trend in the kinematics of star types along the blue part of the horizontal branch (see Fig. 3). The sdB/O stars have disklike orbits. The same probably applies to the HBB stars hotter than about 10,000 K, though the statistics are rather poor for this part of the HB. In contrast to that stand the cooler HBA stars which have much smaller orbital velocities, large orbital eccentricities and large ranges of nze, thus showing a behaviour fitting more to halo than to disk objects. This result suggests to analyse the kinematics of the adjoining cooler stars of the HB, the RR Lyraes. 3.4 3.4.1 RR LYRAE STARS A SAMPLE OF RR LYRAE STARS FROM THE LITERATURE Recently, Martin & Morrison (1998) carried out an investigation of the kinematics of RR Lyrae stars which is mainly based on the study of Layden (1994). For our analysis we will use only those stars having Hipparcos data. Six Hipparcos stars were excluded because they have a proper motion error larger than 5 mas/yr. The RR Lyrae stars present the observational difficulty in that they are variables with both V and B − V changing continously. For most of the sample we were able to take the mean magnitudes from Layden (1994). For the remaining stars we derived the intensity-mean magnitudes with help of the formula given by Fitch et al. (1966) and revised by Barnes III & Hawley (1986) which is the same method as used by Layden (1994) using the photometric data of Bookmeyer et al. (1977). The Layden photometry was dereddened using the Burstein & Heiles (1982) reddening maps. For later steps in this study it is necessary to know the mean B − V of the RR Lyrae stars. As the colour curves of the stars are quite similar to the brightness curves, with the star being bluest when it is near maximum brightness, we took the same formula as we used to calculate the mean magnitude. This is not entirely correct but gives B − V close to the actual one. For six stars we did not have the appropiate light curve data, so we could not determine the mean B − V for them. Therefore only 26 RR Lyraes are shown in Fig. 3. As the RR-Lyrae stars are in most cases fainter and therefore farther away than our HBA/B stars they have a rather large ∆π /π. For this reason we used the absolute magnitude derived in Sect. 3.2.3 49 3. K INEMATICAL TRENDS AMONG THE FIELD HORIZONTAL BRANCH STARS Figure 3.4: Histogram showing the distribution of orbital velocities of the investigated stars. The binsize is 20 km s−1 . 50 3.5. Selection effects to calculate the distances for these stars. We thus have ignored the effects of metallicity on MV for individual stars. Also possible evolutionary effects on MV (see Clement & Shelton 1999) have been ignored, an aspect Groenewegen & Salaris (1999) did not consider in their determination of the RR Lyrae MV either. Since we study the orbits of the RR Lyrae as a sample these limitations will not affect our conclusions. For most RR Lyrae stars we took the radial velocities from the sources mentioned in Sect. 3.2.5, supplemented by radial velocities from Layden (1994). The metallicities of the RR-Lyrae stars were taken from Layden (1994) as far as possible. A few values come from Layden et al. (1996) and Preston (1959). 3.4.2 RR-LYRAE KINEMATICS We calculated the orbits for the RR Lyrae stars in the same manner as for the HBA/B and sdB stars. The RR-Lyrae stars show a spread in kinematical behaviour wider than that of the HBA/B stars. Many stars have orbits similar to those of the HBA stars, others show disklike orbits with orbital velocities in the vicinity of 200 km s−1 . Of the halo RR-Lyrae stars many have perigalactic distances smaller than 1 kpc, as we also found for the HBA stars. The RR-Lyrae stars have orbital velocities typically spanning the entire range found for disk and halo stars (see Fig. 3). Three members of our sample of RR Lyr stars have orbits shaped somewhat different from those of the rest of halo orbits, looking similar to that of HD 117880. In Fig. 3 we have sorted the RR Lyr stars according to their metallicity using different plot symbols. The stars with an [Fe/H]> −0.9 dex have high Θ like disk stars. The stars with lower metallicities are more evenly distributed in Θ. There are several stars with disk-like kinematics with a very low metallicity as low as [Fe/H]< −2.0 dex (see Table 3.4). 3.5 S ELECTION EFFECTS The study of the spatial distribution of HB stars involves, unfortunately, several selection effects. The general aspects have been reviewed by Majewski (1993) and will not be repeated in detail here. Yet, for each stellar type discussed in this paper a few comments are in place. HBA stars have in most cases been identified from photometry, notably because of a larger than normal Balmer jump. This larger jump is mostly due to lower metallicity of the stellar atmosphere. If the atmospheric metallicity is identical to the original one, then the criterion favours intrinsically metal-poor stars, which are presumably the older ones. However, also stars starting with a little more mass than the Sun and thus of solar composition will become HB stars and, when as old as the Sun, by now are solar metallicity HB stars. If they were of HBA type, they would not have been recognised in photometry of the Balmer jump. Such stars would be underrepresented in our sample. The HBA stars considered here come from all galactic latitudes, so that selection effects due to galactic latitude are not to be expected. However stars which have orbits going far away from the disk are always underrepresented, as their fraction of time near the disk (and hence being observable) is much smaller than for those which do not go far from the disk. RR Lyraes, being variables, are not prone to such selection effects. Most of them are identified solely by their variability. Metallicity or high velocity are generally not used as criteria for the identification for RR Lyrae stars. For a discussion of selection effects due to galactic latitude we refer to Martin & Morrison (1998) as our sample is a subsample of theirs. 51 3. K INEMATICAL TRENDS AMONG THE FIELD HORIZONTAL BRANCH STARS The sdB/O stars were identified in surveys for quasars, e.g. the PG catalogue (Green et al. 1986) or Hamburger Quasar Survey (Hagen et al. 1995). This means their blue colour is the criterion, rather than proper motion, radial velocity or metallicity. Therefore we do not expect a selection bias towards metal-poor halo stars. Moreover, de Boer et al. (1997b) showed that the sdB/O stars observed now near the Sun come from widely differing locations in the Milky Way. As these catalogues only map objects which are somewhat away from the galactic plane, they miss the majority of stars with solar type orbits. sdO stars may be confused with pAGB stars descending down the HRD towards the white dwarf regime. The HBB stars of Schmidt (1996) are also taken from the PG catalogue, so that there should not be noticeable selection effects, either. However HBB stars and main sequence stars have similar physical properties such as log g, so that there may be confusion with the latter. Apart from this the selection effects mentioned for the sdB/O stars apply to the HBB stars, too. Finally, some words concerning the distribution of distances of the different samples are in place. Generally, if one deals with stars having different absolute magnitudes, as in our case when the sdBs are several magnitudes fainter than the HBAs, one gets samples with different mean distances. The intrinsically fainter stars are on average much nearer than the brighter stars, if the two groups have similar apparent magnitudes. This means that the spatial regions sampled differ depending on the absolute magnitude of the stars. This would imply that the sdB sample is biased towards disk stars as we do not sample them far enough from the galactic plane where there may be a higher concentration of halo stars than further in. This is however not the case. As we include some of the results of de Boer et al. (1997b) which come from a completely different source, namely mostly from the PG-catalogue (Green et al. 1986) dealing with significantly fainter stars, the PG stars actually have on average larger distances than any of our HBA stars. For this reason we do not expect that the difference in kinematics arises from the distribution of the distances in the samples. 3.6 3.6.1 D ISCUSSION : TRENDS AND POPULATION MEMBERSHIP OVERALL TRENDS As shown in Figs. 3 and 4 the kinematics of the stars of horizontal branch type appears to have a trend along the HB indeed. The sdB stars have in general rather disk-like orbits and kinematical properties. The ones analysed here (Table 3.4) show the same behaviour as those from the large sample of sdB stars investigated previously (de Boer et al. 1997b) The HB stars, the prime goal of our investigation, span a wide range in orbit parameters but when this group is split in HBB and HBA stars a cut is present. The (hotter) HBB stars behave rather like the sdBs with orbits of disk-like characteristics. However, such stars are difficult to recognise and our sample is small. A much larger sample may show a larger variation in kinematics. The HBA stars have mostly halo orbits (mean Θ ' 17 km s−1 ). This is very similar to the value at which most other studies concerning metal-poor stars in the solar neighbourhood arrive (see Table 2 of Kinman 1995). However, the known sample may be observationally skewed toward stars with low atmospheric metallicity (large Balmer jump). The RR-Lyrae stars have orbits spanning a large range in orbital parameters, too. However, a trend seems to be present with metallicity. The metal-poor stars have halo orbits similar to those of the HBA 52 3.6. Discussion: trends and population membership stars with rather low orbital velocities of less than 100 km s−1 , and large ecc and nze. The metalrich stars on the other hand have rather disk-like kinematical characteristics. A similar distribution of metallicities and orbital velocities was also found in the studies of Chen (1999) and Martin & Morrison (1998). Although there are a few RR Lyraes having high orbital velocities (Θ ≥ 160 km s−1 ) and clearly disk-like orbits (some of which are very metal-poor), HBA stars with such characteristics are not found in our sample. On the other hand no RR Lyraes with [Fe/H]> −0.9 dex with halo-like orbits or kinematics are present. This means that a high metallicity for a RR Lyr star is a good indicator that it is a disk star. However, a low metallicity does not mean that a star neccessarily belongs to the halo. For an overview of literature data on values for Θ (or asymmetric drift) for various star groups we refer to Fig. 3 in the review of Gilmore et al. (1989). 3.6.2 D ISCUSSION Since the sdB stars (and possibly the HBB stars) have disk-like orbits, these stars must be part of a relatively younger, more metal-rich group among the HB stars. Majewski (1993) uses the expression ‘intermediate Population II’, other authors use the words ‘thick’ or ‘extended disk’. In addition to the disk-nature of their orbits, the vertical distribution is consistent with a scale height of the order of 1 kpc (Villeneuve et al. 1995; de Boer et al. 1997b) Since the amount of metals in their atmospheres may have been altered by diffusion it is not possible to estimate the true age from the metallicity. The HBA stars have really halo orbits. This must mean they belong to a very old population. Their atmospheric metal content is low indeed, the determinations showing a large scatter per star and from star to star ranging between −1 and −2 dex. However, metal-rich HBA stars which are known to exist in star clusters (see Peterson & Green 1998), would likely be underrepresented in the sample. If the halo contains mostly old stars, like globular cluster stars, then the resulting halo HB stars should occupy the HB in ranges related with metallicity as with the globular clusters (see Renzini 1983). The very metal-poor ones ([M/H] ' −2 dex) would be HB stars of HBB and HBA nature as well as RR Lyrae, the ones of intermediate metallicity ([M/H] ' −1.5 dex) would be very blue down to sdB like, and the metal-rich ones ([M/H] ' −1 dex) would be RHB stars, perhaps including some RR Lyrae. This behaviour may also explain the existence of the two Oosterhof groups (see van Albada & Baker 1973 or Lee et al. 1990) of RR Lyrae, since only the very metal-poor and the relatively metal-rich globular clusters contain RR Lyrae. Evolutionary changes of the HB stars may also affect the location on the HB (Sweigart 1987; Clement & Shelton 1999). However, sdB stars with halo kinematics have not been found (de Boer et al. 1997b). Instead, they have only disk orbits. This must mean that the stars which originally formed in the halo had an initial mass, a metallicity and a red giant mass loss such that RR Lyrae and HBA stars were the end product, and not sdB stars. As for the RR Lyrae stars, they show a wide range in kinematic behaviour, more or less in line with the atmospheric metal content. The actual metallicity did not bias the identification of these stars, since they are selected based on variability. One tends to divide the RR Lyrae sample into metal-poor and metal-rich RR Lyrae (see Layden 1994). Here we recall that in the HB stars the contents of heavier elements in their atmospheres may be altered (see Sect. 3.1). The RR Lyrae stars with the continuous upheaval of the pulsation may stimulate mixing so that their atmospheres probably show the true metallicity. Thus, for RR Lyraes the metallicity may be used as a general population tracer. The observed range of metallicities would mean that there are old as well as younger RR Lyraes. 53 3. K INEMATICAL TRENDS AMONG THE FIELD HORIZONTAL BRANCH STARS Old RR Lyrae must be very metal-poor and should have halo orbits. The majority of the RR Lyrae included in our analysis fit these parameters. There are, however, a substantial number of RR Lyr stars in our sample with disk-like kinematics but low metallicities, in several cases as low as −2 dex. The origin of this group of stars, dubbed the ‘metal weak thick disk’, is still unknown (see Martin & Morrison 1998 for a discussion). Young (or younger) RR Lyrae should be relatively metal-rich and have disk orbits. The investigated sample contains such stars. These objects should have an age, main-sequence mass, metallicity and RGB mass loss such that RR Lyrae emerge, i.e. HB stars with a thicker hydrogen shell. They are, being relatively metal-rich, also of slightly different MV than the metal-poor and old ones. In fact, they are fainter and their distances should be based on the appropriate brightness-metallicity relation. The dependence is, however, feeble and amounts to just 0.1 mag for 0.5 dex. We tested how serious ignoring this effect is on the derived orbits by reducing the RR Lyr star distances by 10 %. It does not lead to a change of significance in the histogram of Fig. 4. 3.6.3 S UMMARY Our orbit studies allow to see a trend in the kinematics of the field HB stars along the horizontal branch. This appears to give us access to the structure of the Milky Way and its halo as well as information about possible formation scenarios. The trends related with age and history could only be found using the kinematics, since it has become clear that the atmospheric metallicity in HB-like stars has no relation to the one of the main sequence progenitor. The location of the stars on the HB must be a complicated function of age, main-sequence mass, initial metallicity, and mass loss on the RGB. For the HB-like stars of today indications for the age can be determined from the present kinematic parameters. Only detailed models for metallicity dependent stellar evolution from main sequence through the RG phase with mass loss should, in comparison with the observables of horizontal branch stars, eventually be able to retrieve the true origin of the HB stars. ACKNOWLEDGEMENTS : We thank Oliver Cordes for supplying the values of log g and Teff for two stars. We are very grateful to Michael Odenkirchen who supplied us the orbit calculating software. Furthermore we thank Michael Geffert for enlightening discussions, Wilhelm Seggewiss and Jörg Sanner for carefully and critically reading the manuscript. This research project was supported in part by the Deutsche Forschungs Gemeinschaft (DFG) under grant Bo 779/21. For our research we made with pleasure use of the SIMBAD in Strasbourg. 54 C HAPTER 4 K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS C OLLABORATORS : K LAAS S. DE B OER , H EINZ E DELMANN A BSTRACT: We have analysed the kinematics of a sample of 114 sdB stars, the vast majority of which shows a kinetic behaviour similar to that of Thick Disk stars; a minority, having solar-type orbits might be Thin Disk stars. 16 objects have orbital velocities differing substantially from those of the mean. In addition to a study of the kinematics, we calculated the orbits using a Galactic potential model. While most stars have disk type orbits, a few venture far above the Galactic plane. Most orbits have eccentricities of less than 0.5, a few outliers having more than 0.7, with the region inbetween underpopulated. This indicates that the (Thick) Disk and the Halo are kinematically disjunct. The statistics of the z-distance at given time intervals in the orbits of the stars leads to the z-probability distribution of the sample. From the logarithmic histogram a scale height can be derived. In the histogram clearly two different slopes are present, one showing the Disk and one the Halo component. For the Disk component we so find a scale height of 0.9 kpc, which is consistent with the result of an earlier study, and also agreeing well with other results for the scale height of the Thick Disk. The other component has a scale height of 7 kpc. 4.1 I NTRODUCTION This chapter, the key part of this thesis, is an extension of the study by de Boer et al. (1997a) and therefore significantly relies on this earlier work. We have increased the number of stars in the sample almost by a factor of three, mainly adding objects slightly further away than before; these are, also due to their generally much higher Galactic latitude, at noticeably larger distances from the Galactic plane. Therefore we expect to have a greater probability of finding Halo objects; discovery of the sdB Halo population is the most important motive for this extended analysis. Other relevant aspects are deriving a (more) accurate scale height of the Thick Disk component analysed in de Boer et al. (1997a), an analysis of the kinematics of sdB stars and as a collorary using the results found with our sample of sdB stars to derive and discuss values of parameters describing the Galactic populations. For a more detailed introduction to studies of kinematics and stellar distributions as well as Galactic structure and Galactic populations, we refer to the general introduction in Chapter 1. Before starting off, we first have to say a few words about the assembly of the sample, and discuss some possible selection effects caused (or not) by the sample composition. This is accomplished in the remainder of this section. Sect. 4.2 is an analysis of velocities and orbits, in Sect. 4.3 the vertical probability distribution of the sample is derived and the resulting scale heights analysed and discussed. 55 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS The results are discussed in Sect. 4.4 and in a larger frame, incorporating the results of Chapters 3 and 5, in Chapter 6. 4.1.1 T HE SAMPLE The sample of 114 sdB/OB1 stars is composed of objects taken from several sources. 59 stars, located in the southern polar cap (SPC) of our Galaxy have been taken from the Hamburg-ESO-survey (HE). For these new data have been obtained. We further included the 41 sdBs published in de Boer et al. (1997a), which were mainly taken from the Palomar Green catalogue (Green et al. 1986). 17 stars with Hipparcos data2 have also been included and one star (PG 1716+426) whose kinematics was analysed by Geffert (1998). The data acquisition and reduction is described in detail in Chapter 2. 4.1.1.1 S ELECTION EFFECTS DUE TO SAMPLE COMPOSITION ? The sample of sdB stars discussed in this paper is the collection of all relatively nearby stars we could lay our hands on. The sole criterion was, that we should have or could obtain for each sdB star its distance, its radial velocity and its proper motion. We have not aimed at obtaining and working with an observationally unbiased sample. That this will not cause any problems in the end, is the goal of the discussion of this section. For the present positions of the stars of the sample see Fig. 4.1. The main sources of our objects were surveys for QSOs, such as the PG and HE. These surveys were conducted at high Galactic latitudes, which means we miss objects at low Galactic latitudes in our sample. They are also incomplete at the bright end (the PG at B ∼ 12 mag, the HS at ∼ 14 mag, the HE at ∼ 13 mag)3 . Thus nearby stars at high Galactic latitudes may be underrepresented. However, since nearby stars may venture in time to almost any Galactic location (see Fig. 4.1), our sample will contain sufficient distant stars which at other times would have been near the Sun and that bright, that they would have escaped the PG, HS and HE surveys. The stars we found in the H IPPARCOS data base, which are mainly from the SB-survey (Slettebak & Brundage 1971) of blue SGP objects, are relatively bright and thus nearby. The catalogues available normally do not contain stars presently at low Galactic latitudes. All of those low b stars having Thick Disk or Halo kinematics would at other times have been detected in surveys like PG, HS and HE (see Fig. 4.1). Stars with that kind of kinematics are thus not underrepresented in our sample. Most of the stars currently in the disk (thus missing from our sample) and which do have disk kinematics would always have been missed. Thus stars with Thin Disk like kinematics are probably somewhat underrepresented in our sample. Summarising, in spite of having used data from various special catalogues dealing with particular observational selections of all stars available, our sample is only lacking (to an unknown amount) in stars with Thin Disk kinematics. 1 In the following we do not discriminate between sdB and sdOB stars; therefore in this chapter sdB stands for both sdB and sdOB. 2 Three objects (PG 1519+640 (Tycho), HD 205805 and CD −38 222) are in common with de Boer et al. (1997a), however we use the Hipparcos proper motion data which was not yet available at the time of publication of de Boer et al. (1997a). 3 These upper limits are not explicitly stated in Green et al. (1986) but for the Hamburg survey they are stated in the description of the catalogues available under http://www.hs.uni-hamburg.de/english/arbgeb/extgalqso /surveys.html. 56 4.2. Kinematics and orbits Figure 4.1: Current distribution of the stars of our sample (full hexagons) and approximately half a revolution (100 Myr) earlier (open triangles) showing that our stars, now concentrated in a small volume, come in fact from all over the Galaxy. The left panel shows the distributions on the Galactic plane, the right panel shows the distributions perpendicular to the plane (along the X-axis). The filled square and filled circle show the position of the Sun today and 100 Myr ago respectively. The circle on the left panel has a radius of the present galactocentric distance of the Sun. The Galactic centre is in the middle of both diagrams, and the dashed lines show the zero line for each coordinate. 4.2 4.2.1 K INEMATICS AND ORBITS C ALCULATING VELOCITIES AND ORBITS The observational quantities α, δ, d, µα , µδ , vrad are transformed into the X, Y, Z, U, V, W system (for details, see Altmann & de Boer 2000, de Boer et al. 1997a or Chapter 3). Additionally the orbital velocities Θ and the velocities towards the Galactic centre Φ, kinetic energies and angular momenta are calculated4 . Furthermore we calculated orbits for the stars of our sample using the Galactic gravitational potential model of Allen & Santillan (1991a) backwards in time over 10 Gyr in steps of 1 Myr (for more details see Altmann & de Boer 2000). From the shape of the orbits we derived the apo- and perigalactic distances, Ra and Rp , and the eccentricity (ecc) given by Ra − Rp (4.1) ecc = Ra + Rp We also wish to consider the maximum distance a star reaches from the Galactic plane, zmax . However, since the gravitational potential diminishes at larger galactocentric distance, $, we calculated nze = zmax , $(zmax ) (4.2) 4 Because all of the stars are local (d < 5 kpc), U and W are quite similar to Φ and Θ; however, especially for stars being well away from Y = 0 kpc, Θ and Φ become linear combinations of U and V . 57 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS the normalised z-extent of the orbit, which is more relevant than zmax alone. Finally we stress that we calculated the orbits for the long timespan of 10 Gyr only because it gives a better representation of the orbits’ shapes. This applies to low velocity Halo type stars taking a long time to complete one revolution. The reader should be aware that orbits are subject to gradual change over time due to gravitational interactions with local high density areas in the Galaxy. Therefore an orbit calculated over a certain time is not necessarily a representation of the true orbit in the far past. 4.2.1.1 E RRORS As in Chapter 3, we used a program (Pauli, priv. comm.) similar to that of Odenkirchen (priv. comm.)5 which we utilised in Chapter 3 to conduct an error analysis similar to that described in Sect. 3.3.1. For the errors of the input quantities we used 5 mas/yr for the proper motions, 10% for the distances and 30 km s−1 for the radial velocities (see Chapter 2). For distances smaller than 1 kpc, the resulting errors for U, V, W are in the order of ∼10-20 km s−1 , with the influence of the radial velocity dominating. Unfortunately when calculated with the new program (which was written to compute the errors for white dwarfs, which are much closer to the Sun than 1 kpc) the derived errors of stars which are further away than approximately 1 kpc begin to grow unrealistically large. The resulting values of ∆U, ∆V, ∆W were then far larger than 100 km s−1 which is not realistic and cannot be reproduced by determining the velocities with the input values changed within the errors. We therefore extrapolate the results for the closer stars, taking into account the errors of the input quantities. The errors for the velocities are estimated to be about 30 km s−1 for stars 1.5 kpc away (with both proper motion and radial velocity contributing equally to the error), 45 km s−1 for stars at 2 kpc distance, 60 km s−1 at 2.5 kpc and 70 km s−1 at 3 kpc distance (with the proper motion error now dominating). Many of our stars are near the SGP; this means for these objects that the value and error of W is dominated by those of the radial velocity. Therefore for many of our stars ∆W is closer to 30 km s−1 , the error of most of the radial velocities. In this error estimation we have not included the influence of intrinsically variable radial velocities of close binaries (see Sect. 2.3.1), which certainly are present for quite a few of the sdB stars. Comparison with the values of the radial velocities taken from de Boer et al. (1997a) (from single measurements) with those from Morales-Rueda et al. (2002) or Marsh (priv. comm.) show that the differences between them is generally not overly large; often less than the error margin of the radial velocities used in de Boer et al. (1997a). However for individual objects, whose radial velocities were measured while near one of the extrema, there can be a large discrepancy between this measurement and the systemic value. Unfortunately we do not have systemic radial velocities for most of our stars; therefore we cannot quantitatively account for this effect. The values for the errors described here apply only to those stars with proper motions, distances and radial velocities derived as in Chapter 2; some of the stars have Hipparcos proper motions of radial velocities from high resolution spectroscopy or even the systemic radial velocities from Marsh (priv. comm.) or Morales-Rueda et al. (2002). These have of course far lower velocity errors than the other objects. As in Chapter 3 we have not calculated the errors for the morphological quantities, such as nze or ecc. 5 58 This program does not work on the Linux computers nowadays in use at Sternwarte Bonn. Table 4.1: Positions, velocities (given in the Galactic euclidic system XY Z U V W and Φ, Θ) as well as the angular momentum Iz and morphological orbital data (Ra , Rp , zmax and eccentricity (ecc), normalised z-extent (nze), see text) of all stars. No. Name X Y Z U V W Φ Θ Iz Ra Rp zmax nze ecc −1 −1 −1 [kpc] [km s ] [km s ] [kpc km s ] [kpc] 1 HE 0000−2355 −8.399 +0.112 −0.750 −3 +165 +61 +5 +165 +1382 8.42 5.46 1.63 0.20 0.21 2 HE 0001−2443 −8.390 +0.108 −0.801 +42 +127 −23 −40 +127 +1067 8.68 3.46 0.93 0.11 0.43 3 HE 0004−2737 −8.394 +0.059 −0.696 −33 +184 −31 +34 +183 +1540 8.78 6.01 0.92 0.11 0.19 4 PG 0004+133 −8.775 +0.904 −1.046 +75 +100 −76 −65 +107 +941 9.43 2.92 3.48 0.41 0.53 5 HE 0021−2326 −8.347 +0.313 −2.698 −58 +171 +64 +64 +169 +1410 9.47 6.31 4.11 0.47 0.20 6 HE 0031−2724 −8.446 +0.033 −0.928 0 +273 +21 +1 +273 +2308 14.46 8.48 1.56 0.11 0.26 7 PG 0039+049 −8.769 +0.494 −0.887 −16 +214 −99 +28 +213 +1868 10.77 8.22 3.24 0.31 0.13 8 CD −38 222 −8.466 −0.038 −0.257 −40 +208 +69 +39 +208 +1761 9.48 7.40 1.53 0.16 0.12 9 HD 4539 −8.553 +0.088 −0.136 −2 +248 +17 +5 +248 +2120 11.09 8.55 0.30 0.03 0.13 10 HE 0049−2928 −8.460 −0.069 −2.200 −26 −6 +30 +26 −5 −45 9.34 0.08 7.24 3.07 0.98 11 HE 0049−3059 −8.459 −0.064 −1.213 −63 +169 −43 +62 +170 +1435 9.54 5.27 1.65 0.17 0.29 12 SB 410 −8.483 −0.062 −0.532 +50 +230 +66 −51 +230 +1950 11.42 7.66 1.78 0.16 0.20 13 Feige 11 −8.648 +0.183 −0.384 +25 +162 −42 −22 +163 +1410 8.87 8.31 3.03 0.25 0.10 14 SB 459 −8.499 −0.051 −0.438 +21 +250 +31 −23 +250 +2123 11.70 8.36 0.83 0.07 0.17 15 HE 0123−2808 −8.762 −0.224 −2.584 −31 +158 −17 +26 +159 +1392 9.23 5.55 2.66 0.30 0.25 16 HE 0127−4325 −8.411 −0.514 −1.626 −81 +237 −14 +67 +242 +2036 12.99 7.62 2.29 0.18 0.26 17 PG 0133+114 −8.882 +0.319 −0.587 −2 +107 −62 +6 +106 +946 8.90 2.88 1.49 0.18 0.50 18 PHL 1079 −8.859 +0.252 −0.681 +9 +159 −19 −4 +159 +1410 8.88 5.13 0.79 0.09 0.27 19 HE 0136−2758 −8.815 −0.254 −2.160 +56 −33 +194 −55 −35 −307 11.24 4.05 11.27 3.60 0.47 20 SB 707 −8.551 −0.020 −0.254 −43 +121 −3 +43 +121 +1034 8.79 3.18 0.26 0.03 0.47 21 PG 0142+148 −9.142 +0.504 −0.839 +156 +237 +80 +142 +245 +2245 20.76 6.91 3.90 0.19 0.50 22 SB 744 −8.584 −0.056 −0.446 −78 +31 +23 +78 +31 +268 9.25 0.51 5.23 0.91 0.89 23 HE 0151−3919 −8.614 −0.625 −2.008 +362 +25 +239 +363 −1 −10 84.83 0.02 85.51 29.18 1.00 24 PG 0212+148 −9.617 +0.614 −1.199 +25 +221 −86 −11 +222 +2143 11.84 9.69 3.42 0.30 0.10 25 PG 0212+143 −9.679 +0.636 −1.277 −103 +190 −22 +115 +182 +1769 13.48 5.79 1.70 0.13 0.40 26 HE 0218−3437 −8.646 −0.245 −0.761 +6 +211 −24 −12 +211 +1823 8.78 8.22 0.78 0.10 0.04 continued next page 4.2. Kinematics and orbits 59 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS No. Name 27 HE 0218−4447 28 HE 0221−3250 29 HE 0230−4323 30 HE 0231−3441 31 PG 0242+132 32 HE 0258−2158 33 HE 0307−4554 34 HE 0315−4244 35 HE 0324−3749 36 HE 0340−3820 37 HE 0341−2449 38 PG 0342+026 39 HE 0343−4748 40 HE 0351−3536 41 HE 0405−1719 42 HE 0405−3839 43 HE 0407−1956 44 HE 0410−4901 45 HE 0419−2538 46 HE 0429−2448 47 HE 0442−1746 48 HE 0444−4945 49 HE 0447−3654 50 HE 0452−3654 51 HE 0500−3518 52 HE 0504−2041 53 HE 0505−2228 54 HE 0505−3833 55 HE 0510−4023 continued next page X −8.532 −8.834 −8.597 −8.714 −9.493 −9.269 −8.630 −9.478 −9.007 −8.917 −9.045 −8.781 −8.823 −8.798 −9.063 −8.964 −9.062 −8.778 −9.184 −9.150 −9.329 −8.774 −8.936 −8.837 −9.046 −9.414 −9.233 −8.847 −9.024 Table 4.1: Positions, velocities and morphological data of all stars (cont.) Y Z U V W Φ Θ Iz [kpc] [km s−1 ] [km s−1 ] [kpc km s−1 ] −0.269 −0.584 −93 +149 +70 +88 +152 +1300 −0.457 −1.494 +89 −41 +153 −87 −45 −401 −0.442 −0.925 +91 +289 +88 +106 +284 +2442 −0.338 −0.936 −65 +306 +67 +53 +308 +2687 +0.344 −0.910 −47 +117 +9 +51 +116 +1099 −0.438 −1.549 −30 +235 −55 +19 +236 +2192 −0.540 −0.854 −19 +156 +99 +9 +157 +1357 −2.695 −4.347 +26 +46 −23 −38 +37 +367 −0.408 −0.942 +24 +173 −62 −31 +172 +1549 −0.758 −1.133 −28 +279 +75 +4 +280 +2445 −0.445 −0.881 −22 +143 +61 +15 +144 +1306 −0.022 −0.224 +16 +188 −15 −16 +188 +1647 −1.308 −1.638 +3 +158 +14 −26 +156 +1390 −0.455 −0.660 +17 +185 −43 −26 +183 +1616 −0.340 −0.631 −77 +262 −30 +67 +264 +2398 −0.869 −1.089 −6 +247 +65 −18 +247 +2220 −0.392 −0.665 −146 +318 +99 +132 +324 +2941 −1.152 −1.228 −81 +256 +46 +47 +264 +2339 −0.649 −0.883 +58 +205 +37 −72 +200 +1842 −0.609 −0.771 +50 +218 −35 −65 +214 +1963 −0.600 −0.737 −44 +290 −6 +25 +292 +2728 −1.136 −0.991 −185 +186 +3 +160 +208 +1842 −0.747 −0.712 +38 +51 −17 −42 +47 +423 −0.581 −0.535 −7 +275 +74 −11 +275 +2438 −0.881 −0.768 −93 +233 +51 +70 +241 +2193 −0.806 −0.758 −2 +222 +57 −17 +221 +2088 −0.695 −0.637 −1 +190 +91 −14 +190 +1758 −0.663 −0.547 −44 +189 −19 +30 +191 +1698 −1.113 −0.874 +32 +170 −6 −52 +165 +1497 Ra 9.92 10.08 20.41 20.21 9.90 12.48 8.67 11.90 9.27 16.80 9.11 8.87 9.18 9.02 15.98 12.97 38.12 13.71 11.36 11.45 19.23 14.95 9.24 16.46 13.82 10.74 9.54 9.23 9.71 Rp [kpc] 4.54 1.32 7.92 8.59 3.76 9.16 6.49 0.72 6.25 8.85 4.80 6.50 5.17 6.50 8.38 8.76 8.20 8.63 6.82 7.58 9.29 5.54 0.94 8.84 8.17 9.14 8.01 6.74 5.34 2.13 7.97 4.22 3.35 0.98 2.69 2.41 6.20 2.01 3.12 1.93 0.31 1.69 1.19 1.27 2.06 9.11 1.85 1.34 1.38 1.35 1.41 4.43 2.80 2.07 1.73 2.71 0.65 0.95 zmax 0.22 1.50 0.20 0.19 0.11 0.22 0.38 0.72 0.22 0.22 0.22 0.03 0.19 0.13 0.08 0.20 0.25 0.18 0.12 0.12 0.07 0.11 0.67 0.17 0.15 0.16 0.29 0.07 0.10 nze 0.37 0.70 0.50 0.46 0.45 0.15 0.19 0.89 0.19 0.33 0.31 0.15 0.28 0.16 0.31 0.19 0.65 0.28 0.25 0.20 0.35 0.49 0.82 0.30 0.26 0.08 0.09 0.16 0.29 ecc 60 Name 56 HE 0516−2311 57 HE 0521−3914 58 HE 0523−1831 59 HE 0532−4503 60 HE 0539−4246 61 PG 0856+121 62 PG 0907+123 63 PG 0918+029 64 PG 0919+273 65 PG 1101+249 66 PG 1114+073 67 PG 1232−136 68 PG 1233+427 69 Feige 66 70 PG 1256+278 71 PG 1343−101 72 HD 127493 73 PG 1432+004 74 PG 1433+239 75 PG 1452+198 76 PG 1519+640 77 PG 1619+522 78 HD 149382 79 PG 1647+252 80 PG 1708+602 81 PG 1710+490 82 PG 1716+426 83 PG 1722+286 84 PG 1725+252 continued next page No. −9.882 −9.172 −9.697 −9.204 −8.901 −9.162 −9.470 −9.059 −8.736 −8.634 −8.575 −8.329 −8.559 −8.505 −8.483 −8.126 −8.415 −8.053 −8.338 −8.141 −8.580 −8.408 −8.432 −8.101 −8.482 −8.354 −8.125 −8.036 −8.114 X Table 4.1: Positions, velocities and morphological data of all stars (cont.) Y Z U V W Φ Θ Iz Ra Rp [kpc] [km s−1 ] [km s−1 ] [kpc km s−1 ] [kpc] −1.393 −1.143 −114 +457 −88 +49 +468 +4672 161.35 9.94 −1.368 −0.995 −37 +407 −37 −24 +408 +3781 64.93 9.31 −1.037 −0.806 +74 +166 +16 −91 +157 +1531 11.31 5.28 −2.046 −1.359 +83 +305 +176 +147 +280 +2641 41.28 7.79 −1.025 −0.647 −34 +185 −26 +12 +187 +1678 9.05 6.77 −0.490 +0.549 −74 +116 −46 +68 +120 +1099 9.80 3.43 −0.749 +0.900 −6 +177 +86 −8 +176 +1676 9.53 7.44 −0.653 +0.586 −101 +89 −75 +94 +96 +874 9.46 6.88 −0.088 +0.243 +87 +221 −16 −89 +220 +1920 10.74 6.88 −0.086 +0.356 −33 +256 −56 +30 +256 +2209 13.02 8.47 −0.213 +0.389 0 +197 −4 −5 +197 +1688 8.60 7.15 −0.335 +0.429 −79 +135 +38 +73 +138 +1152 9.17 3.72 +0.062 +0.308 +17 +227 +74 −15 +227 +1942 10.11 8.47 −0.011 +0.182 +24 +217 +9 −24 +217 +1841 9.10 7.76 +0.018 +0.780 −71 +197 +75 +72 +196 +1666 10.68 6.33 −0.270 +0.553 −32 +149 +58 +27 +150 +1217 8.29 4.42 −0.046 +0.067 +10 +212 +15 −11 +212 +1780 8.53 7.71 −0.078 +0.609 +34 +143 −20 −36 +143 +1151 8.55 3.68 +0.096 +0.431 +14 +189 −44 −12 +189 +1574 8.41 6.47 +0.165 +0.707 +71 +169 +51 −67 +171 +1388 9.09 5.13 +0.443 +0.469 −54 +332 −93 +71 +329 +2826 29.98 8.36 +0.547 +0.534 −31 +199 −24 +44 +197 +1658 9.40 7.05 +0.014 +0.037 +13 +233 +11 −13 +233 +1966 9.64 8.33 +0.401 +0.429 −11 +265 +43 +24 +264 +2142 12.83 8.01 +1.450 +1.050 −108 +164 +95 +134 +143 +1232 12.05 3.78 +0.563 +0.424 +27 +208 −54 −13 +210 +1755 8.94 8.05 +0.913 +0.682 +128 +211 −44 +105 +230 +1877 12.73 6.27 +0.588 +0.442 −44 +222 +14 +61 +218 +1760 9.77 6.20 +0.432 +0.317 −51 +180 +33 +61 +177 +1435 10.08 8.01 26.79 7.35 0.88 18.28 0.82 1.33 2.81 4.77 0.30 1.53 0.41 0.82 1.78 0.22 2.19 1.31 0.20 0.69 0.90 1.48 4.89 0.63 0.13 1.14 3.75 1.00 1.38 0.50 1.64 zmax 0.17 0.11 0.08 0.47 0.09 0.14 0.31 0.28 0.03 0.12 0.05 0.09 0.18 0.02 0.21 0.16 0.02 0.08 0.11 0.16 0.20 0.08 0.01 0.09 0.31 0.13 0.10 0.06 0.06 nze 0.88 0.75 0.40 0.68 0.14 0.48 0.12 0.58 0.29 0.21 0.10 0.42 0.09 0.08 0.26 0.30 0.05 0.36 0.13 0.28 0.56 0.17 0.07 0.23 0.52 0.05 0.35 0.19 0.27 ecc 4.2. Kinematics and orbits 61 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 100 111 112 113 114 No. PG 1738+505 UV0 1758+36 HD 171858 HE 2135−3749 HD 205805 HE 2154−4143 HE 2155−1724 HE 2156−1732 HE 2156−3927 HE 2201−2136 PG 2204+035 HE 2205−1952 HE 2213−4158 PG 2218+020 HE 2222−3738 PG 2226+094 PG 2259+134 Feige 109 Feige 108 PG 2337−070 HE 2337−2944 HE 2340−2806 SB 815 HE 2343−2944 HE 2349−3135 PG 2349+002 SB 884 HE 2355−3221 PG 2358+107 HE 2359−2844 Name X −8.322 −8.418 −8.341 −8.022 −8.366 −7.581 −7.840 −7.781 −7.646 −7.516 −8.108 −7.994 −6.247 −8.161 −7.759 −8.271 −8.434 −8.455 −8.450 −8.531 −8.277 −8.157 −8.430 −8.195 −8.018 −8.523 −8.418 −8.135 −8.625 −8.229 Table 4.1: Positions, velocities and morphological data of all stars (cont.) Y Z U V W Φ Θ Iz [kpc] [km s−1 ] [km s−1 ] [kpc km s−1 ] +0.805 +0.511 −27 +241 +53 +50 +238 +1987 +0.158 +0.085 +5 +224 +33 −1 +224 +1889 +0.030 −0.021 +86 +227 0 −85 +227 +1894 +0.049 −0.543 −109 +244 +113 +110 +243 +1951 −0.016 −0.149 −82 +225 +3 +82 +225 +1880 −0.010 −1.172 −32 +270 −7 +32 +270 +2047 +0.510 −0.955 −54 +203 −18 +67 +199 +1563 +0.555 −1.053 −51 +136 +15 +61 +132 +1028 +0.044 −1.112 −153 +370 +141 +155 +369 +2822 +0.634 −1.471 −56 +183 −30 +71 +178 +1341 +0.817 −0.756 +20 +261 −85 +6 +262 +2132 +0.360 −0.797 −31 +172 +19 +38 +170 +1363 −0.080 −3.246 −104 +406 −71 +99 +407 +2544 +0.763 −0.790 +43 +201 −41 −24 +205 +1676 +0.067 −1.172 −227 +147 +12 +228 +145 +1123 +0.840 −0.720 −64 +184 0 +83 +177 +1468 +1.034 −0.911 +39 +20 −44 −14 +212 +1803 +0.751 −0.843 −7 +24 +63 +29 +240 +2033 +0.215 −0.327 +43 +238 −33 −37 +239 +2022 +0.478 −0.603 +138 +154 −28 +129 +162 +1381 +0.082 −0.839 −63 +241 +16 +65 +240 +1986 +0.170 −1.405 −38 +298 +24 +44 +298 +2428 +0.002 −0.242 +44 +238 −7 −43 +238 +2009 +0.110 −1.253 +20 +136 +2 −18 +137 +1120 +0.098 −2.021 +117 +254 −151 +114 +256 +2050 +0.423 −0.702 +76 +163 +61 −68 +167 +1422 +0.024 −0.363 −28 +191 −1 +28 +191 +1605 +0.042 −1.651 +78 +126 −43 −77 +126 +1026 +0.519 −0.635 +49 +193 −9 −37 +196 +1691 +0.116 −1.505 −23 +122 +125 +24 +122 +1002 Ra 11.56 8.89 11.74 16.11 11.48 13.04 9.42 8.33 61.63 8.93 13.74 8.33 62.40 8.56 16.53 12.30 8.79 12.50 10.95 11.60 11.96 18.82 10.89 8.31 22.52 9.69 8.69 9.00 9.18 8.35 Rp zmax [kpc] 7.68 1.37 8.42 0.46 6.69 0.03 6.83 4.90 6.72 0.19 7.50 1.78 5.90 1.11 3.41 1.18 7.10 21.26 5.50 1.72 8.15 3.01 5.12 0.92 7.02 25.40 7.27 1.21 2.89 2.55 7.17 1.53 8.22 1.38 8.38 1.85 8.05 0.75 4.32 1.12 7.42 1.22 8.09 3.09 7.86 0.30 3.88 1.26 7.68 11.84 5.16 1.62 6.34 0.37 3.52 2.33 6.73 0.69 4.79 4.92 0.12 0.05 0.0025 0.32 0.02 0.16 0.12 0.14 0.37 0.20 0.22 0.11 0.44 0.14 0.16 0.08 0.16 0.19 0.07 0.10 0.10 0.17 0.03 0.15 0.61 0.17 0.04 0.26 0.08 0.70 nze 0.20 0.03 0.27 0.40 0.20 0.27 0.23 0.42 0.79 0.24 0.26 0.24 0.80 0.08 0.70 0.32 0.03 0.16 0.15 0.46 0.23 0.40 0.16 0.36 0.49 0.31 0.16 0.44 0.15 0.27 ecc 62 Table 4.2: Mean U V W, ΘΦ velocities, angular momentum, eccentricities and nze with their dispersions for the 114 star sample and for various subsamples. The lines labelled e.g. Halo or Disk are attempts to extract subsamples containing only objects from that particular component while not introducing too many biases (see text). For comparison the Sun’s values are also included. Subsample N Ū σU V̄ σV W̄ σW Θ̄ σΘ Φ̄ σΦ I¯z σIz ecc ¯ σecc nze ¯ σnze −1 −1 [km s ] [kpc km s ] all 114 −8 74 +198 79 +12 64 +198 80 +6 74 +1700 705 0.33 0.22 0.51 2.74 R < 8.5 kpc 52 −13 60 +208 61 +10 53 +208 61 +22 62 +1698 465 0.28 0.18 0.18 0.42 R > 8.5 kpc 62 −3 70 +196 84 +13 72 +196 85 −7 79 +1761 902 0.35 0.23 0.30 0.49 ecc < 0.55 99 −5 59 +198 52 +10 55 +199 53 +5 58 +1707 460 0.26 0.13 0.19 0.36 ecc > 0.55 15 −29 136 +196 172 +31 102 +193 68 +15 138 +1655 1947 0.78 0.13 2.57 7.15 Z < 0.25 kpc 10 +23 46 +225 12 0 24 +225 12 −23 47 +1909 97 0.15 0.09 0.03 0.03 Disk: Pure Thin Disk: Z < 0.25 kpc 8 +8 38 +225 13 +2 26 +225 13 −7 38 +1910 108 0.11 0.06 0.04 0.05 ∧ ecc < 0.2 Pure Thick Disk: Z > 0.9 kpc 29 −23 64 +202 60 +2 60 +202 61 +22 64 +1729 649 0.32 0.13 0.24 0.15 ∧ ecc < 0.55 ∧ Θ > 50 km s−1 Halo: ecc > 0.55 16 −24 133 +181 175 +41 107 +178 178 +11 135 +1532 1566 0.76 0.15 2.63 6.93 −1 ∨ Θ < 50 km s High velocity Halo: ecc > 0.55 7 −75 76 +371 50 +18 108 +369 59 +48 96 +3175 570 0.73 0.10 0.29 0.13 ∧ Θ > 220 km s−1 Low velocity Halo: (ecc > 0.55 9 +16 153 +34 56 +59 102 +30 58 −18 153 +255 481 0.78 0.17 4.45 8.82 ∨ Θ < 50 km s−1 ) ∧ Θ < 220 km s−1 Sun 1 +10 − +235 − +8 − +235 − −10 − +1998 − 0.08 − 0.01 − 4.2. Kinematics and orbits 63 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS Figure 4.2: Histogram of the orbital velocities for all 114 stars of the sample. The values for ΘThick disk and σΘ (TD, Disk) have been taken from Ojha et al. (1994). The velocities of the two stars with rather similar extreme kinematics (HE 0516−2311 and HE 0521−3914) have been labelled (see text). Figure 4.3: Toomre diagram (Θ versus velocity perpendicular to Θ)pof the stars of our sample. Circles indicate vpec = Φ2 + W 2 + (Θ − ΘLSR )2 with values in km s−1 . Note the asymmetry in the central condensation of data points with vpec < 150 km s−1 . A star shows the position of the LSR and a circle that of the Sun. 64 Figure 4.4: Bottlinger and Θ − W diagram of the velocities of the stars of our sample. As in Figure 4.3 a star denotes the LSR and a circle the Sun’s values. 4.2. Kinematics and orbits 4.2.2 A NALYSIS OF THE VELOCITIES AND VELOCITY DISPERSIONS For the majority of the objects, the orbital velocities have values which are similar to those of disk stars, which have been found before by other studies, e.g. de Boer et al. (1997a) or Thejll et al. (1997). However a minor portion of the sample has orbital velocities that are significantly below or above those expected for disk stars (see Fig. 4.2); some stars have even a near zero or even slightly negative orbital velocity. As seen in earlier studies, the majority of the sdB stars have velocities rather indicative of disk orbits, but with Θ̄ somewhat lower than that for Thin Disk stars, while the velocity dispersions are larger (see Table 4.2). σV is larger than expected for the Thick Disk alone, reflecting the fact that the Halo and Thin Disk components are included. A significant old Thin Disk contribution can also be seen by looking at Θ̄ which is higher than what most studies of Thick Disk kinematics arrive at (see e.g. Ojha et al. 1994). However, due to the composition of the sample, which is certainly lacking stars currently located at low z-heights, we miss a fraction of the Thin Disk stars. The stars with large Θ (between 250 and 300 km s−1 ) are also evident in the Toomre diagram (Fig. 4.3), which shows the kinematic divergence of a sample of stars with the orbital velocity plotted against the velocity perpendicular to Galactic rotation. In our case most data points are located within vpec ≤ 100 km s−1 , with the region of vpec ≤ 150 km s−1 also well populated for Θ ≤ ΘLSR . This obvious asymmetry in the central condensation shows a behaviour usually known as asymmetric drift. It means that kinematically hotter populations tend to rotate slower than kinematically cooler populations. The reason for this effect lies in the greater eccentricity of the orbits of such objects and will be discussed in greater detail in the analysis of the kinematic behaviour over the whole orbit (Sect. 4.2.3.2). A few points lie further out, indicating a kinematic behaviour quite different from the rest of our sdB stars. The central concentration is well filled to Θ ' 300 km s−1 . At very low peculiar velocities (vpec ' 30 km s−1 ) only relatively few points are present. The diagrams of Figure 4.4 show the Bottlinger diagrams with orbital velocity plotted against the two other components namely the velocity towards the Galactic centre (Φ, top) and perpendicular to the Galactic plane (W , bottom). Both diagrams show a concentration of stars at low values of Φ and W respectively near ΘLSR . However the concentration of data points does appear to be slightly shifted in respect to the Φ,W =0 axis. In both panels (but especially in one showing W, Θ) the points seem to be somewhat inhomogeneously distributed. Again a few stars deviate from the general concentration by a large degree. The stars of our sample show a behaviour which is kinematically hotter than but not too different from that of the Sun. This implies that the majority of our stars belong to the Thick Disk because their orbital velocities are somewhat lower than those of stars with solar kinematics. A few stars have orbital velocities which differ a lot from those of the rest, either being far higher or lower than those of the rest. Two or three stars even have mildly retrograde orbits. These are presumably not disk stars but members of a non-rotating Halo population. Whether the stars having a high velocity and those with a low Θ are of similar or different origin will be discussed in the next section, when the orbits are examined. This also applies to those disk stars which also have relatively high Θ values. 4.2.2.1 A NALYSIS OF THE VELOCITIES AND DISPERSIONS OF “ PURE ” SAMPLES Employing parameters like nze, ecc, Z etc., we can select subsamples which can then be analysed in the same way as done in Sect. 4.2.2. One aim is to extract “pure” samples, containing only stars belonging to one population. 65 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS Figure 4.5: The orbits of all 114 sdB stars. The orbits are depicted as meridional plots and calculated over a timespan of 10 Gyr. Note that the most common types of orbits, the disk orbits, are grossly underrepresented in this figure. The cross denotes the current position of the Sun and the triangle the current position of the star. On the lower right panels of the first and last part of this figure the orbit of our Sun is shown for comparison. 66 4.2. Kinematics and orbits Figure 4.5: The orbits of all 114 sdB stars (cont.) 67 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS Figure 4.5: The orbits of all 114 sdB stars (cont.) 68 4.2. Kinematics and orbits Figure 4.5: The orbits of all 114 sdB stars (cont.) 69 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS Figure 4.5: The orbits of all 114 sdB stars (cont.) 70 4.2. Kinematics and orbits The normal way to achieve this is by using a non kinematic selection criterion such as metallicity. This is however not possible for our stars due to their drastically altered chemical atmospheric composition. For this reason we have to use kinematical criteria which unfortunately means introducing biases. First of all we divided our sample with simple criteria (Table 4.2 upper section). • A cut was made at R = 8.5 kpc, to see whether there are differences for stars inside and outside the solar circle6 . For the group at R > 8.5 kpc Θ is somewhat lower than for the inner group and the dispersions are larger. Because the subsamples still contain stars of all populations, these differences are probably caused by outliers and do not have much significance. • To separate the Disk and Halo component, we made a cut near the local minimum of the distribution of eccentricities (see Fig. 4.6). In this case Θ and the velocity dispersions behave as expected for Disk and Halo populations. Closer inspection showed that the Disk sample was still contaminated by the Halo. One star, HE 0136−2758, which has a negative Θ and a high nze value still remains in the Disk sample due to its low eccentricity of 0.47. Furthermore the two Disk components are still not separated in the Disk subsample. • The third simple cut was to put all stars currently located at small distances from the Galactic plane into a subsample – expecting that with this we would mainly choose the Thin Disk stars (The subsample with z > 0.25 kpc is irrelevant, because it is the same mix of Thin and Thick Disk and Halo as the original sample). The values of Θ and the velocity distributions are very similar to other results for the Thin Disk, just σΦ is somewhat large – it better fits to the Thick Disk. This value and the large Φ is caused by one object, HD 171858, which stays very close to the plane during its entire orbit but has a large eccentricity – therefore it probably belongs to the Thick Disk. We see, that while such simple cuts7 are quite effective to separate different populations, each of the parts has contamination. Therefore we introduced additional selection criteria in order to create subsamples as large and pure as possible. These are combined by simple logical combinations (∧ and ∨). Due to the probable large overlap between the kinematics of Thin and Thick Disk it is impossible to assign each Disk star to just one of the samples – here avoiding contaminations is more important. The Halo stars, which are far less numerous, are more easily discriminated – here sample completeness is the priority (see Table 4.2, lower section). As can be seen in Table 4.2, less than half of the stars are sorted into the “pure” Thin Disk, Thick Disk or Halo samples. This does not mean that the others cannot be assigned to one of those groups. The criteria applied are very strict, leaving a wide margin at the borders of the parameter spaces of the various groups. This especially holds true when distinguishing the two Disk samples, which presumably have a considerable amount of overlap in kinematics. Nonetheless we cannot exclude that there are stars having been assigned to the wrong group. If one uses velocities as selection criteria when analysing mean velocities and velocity dispersions the results are certainly biased. If the cut is not carefully made the results from an analysis of the subsamples can be misleading. Therefore we only use velocities in uncritical dissections, e.g. when discriminating between the high and low velocity Halo which are separated by more than 100 km s−1 , or when removing or adding an individual star which unambiguously belongs to one group such as HE 0136−2758. 6 7 a discrimination often found in the literature. cuts by only one selection criterion. 71 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS • The Thin Disk sample (see Table 4.2) shows velocities and dispersion similar to those expected for stars of the Old Disk. The same applies to eccentricities and nze. σU is a little high, maybe caused by some Thick Disk contamination. The criterion ecc < 0.2 is used to exclude possible Thick Disk star HD 171858. • To sort out most Thin Disk stars all objects closer than 0.9 kpc (three Old Thin Disk scaleheights) are excluded from the the Thick Disk sample. This subsample on the whole also agrees with other studies (which is to be expected, because the full sample has values nearest to those of the Thick Disk). However the orbital velocity is somewhat high; this might mean that there still are Thin Disk contaminations in this subsample. In the Thick Disk subsample, there is a quite significant offset in the mean U/Φ velocity amounting to over 30 km s−1 . Stars with extreme kinematics cannot be the cause, because all probable Halo stars have been expunged from this sample. The value is similar to what Fux (2001) found for Hipparcos Thick Disk stars. Therefore we assume that this offset is real and will discuss it further in Sect. 6.2.3.2. • The Halo has a mean Θ which is far higher than normally quoted for the Galactic Halo; it is actually close to that of the Disk. The velocity dispersion in σΘ on the other hand is much larger. The reason for this is the high velocity component, the few stars travelling at Θ far greater than that of the LSR. Therefore we divided this group into two sub groups, namely the “high velocity Halo” and the “low velocity Halo”. The latter features a low orbital velocity of 34 km s−1 and the dispersions are around 100 km s−1 , except σΘ which is lower. This could very well be caused by the selection. The high velocity Halo has a Θ which is near 370 km s−1 . The velocity dispersions are much lower than those of the low velocity component. One reason for this could be that stars moving much faster than those of our sample would be expelled from the Galaxy and are thus not part of our sample. The high values of the mean U/Φ and W velocities are caused by small number statistics in combination with extreme velocities of the stars in these subgroups, and are presumably of no significance. While Halo and Disk components can be separated quite clearly, it is questionable whether the two Disk components are really kinematically disjunct. To a lesser extent, there could be some overlap in kinematics of low inclined Halo stars and loose Thick Disk stars, but this seems to be rather small. With more and better data the exact amount of overlap can be determined and corrected for. So, while this way of selecting subsamples is rather problematic, we could still derive samples containing only one population type. However to really constrain the selection we need more and more accurate data. In this case using selection criteria is potentially a quite powerful tool when assigning stars to populations. 4.2.3 4.2.3.1 T HE ORBITS O RBIT MORPHOLOGY The orbits are shown in Figure 4.5; their morphologies show large varieties. However, the vast majority show box type orbits typical of Disk/Thick Disk stars. Six stars have chaotic orbits, or semi chaotic orbits. These are the stars venturing very close to the Galactic centre, like most of the HBA stars of Altmann & de Boer (2000). About the same number of stars have orbits going to very large 72 4.2. Kinematics and orbits Figure 4.6: Histograms showing the distributions of ecc (left panel) and nze (right panel) for the stars of the sample. Note the peaks at low values in in ecc and nze and the local minimum in the distribution of the eccentricities near ecc=0.6 galactocentric distances, one having its apogalacticon at ∼160 kpc. These stars have an orbital velocity much higher than that of the LSR, in some cases approaching the escape velocity of the Milky Way. The stars have orbits with eccentricities (see Figure 4.6, left panel) spanning almost the complete range, however more than 80% have ecc < 0.5. This is the region mainly populated by Disk and Thick Disk stars. A minority has ecc > 0.7 with the intermediate zone somewhat underpopulated. This might mean that the sdBs are part of two kinematically quite distinct groups, namely one with orbits of small to medium eccentricity and another having very eccentric orbits. The distribution of the normalised z-extents of our sample (see Figure 4.6, right panel) is more peaked than that of the values for ecc, almost all of the stars having nze ≤ 0.4, but there is a long tail to high values. We do not see a separation at intermediate nze values. However this is expected as nze is, amongst others, a measure for the inclination of an orbit. A group of stars all having small orbit inclinations will show up as a large peak at low values of nze in a histogram. In contrast to that, a group of stars having orbits with more random inclinations will populate the range of nze without any preferential value (except in the case of stellar streams or moving groups). This is basically what can be seen in Figure 4.6, namely a peak of a population of low nze stars and a level distribution of a group of stars with a large spread in orbit inclination. 4.2.3.2 A NALYSIS OF THE THE KINEMATICS OVER THE WHOLE ORBITS The analysis of the current kinematics of the stars done in Sect. 4.2.2 gives important information about the kinematical behaviour and population membership of the sample. However all of the velocities are not conserved quantities, and therefore change over time. Analysing a sample of stars solves this problem because mean values of the velocity components and their dispersions are conserved quantities. However they possibly suffer from selection effects. For example stars have, during a 73 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS Figure 4.7: Plots of Θ against ecc and log nze: On the left side the current values of Θ are plotted, and on the right side the median Θ. On the upper right panel the maximal (open triangles) and minimal (crosses) Θ are plotted as well. The Sun’s values are represented by the open circles and in the upper right panel as the open square and star. log nze is used rather than nze to gain access to more detail at low values. The dashed lines indicate the border between prograde and retrograde motion and the ΘLSR at 220 km s−1 74 4.2. Kinematics and orbits Figure 4.8: Diagram of Θ against the total kinetic energy (Ekin ): the open symbols represent the current values of Θ and Ekin , the smaller filled hexagons the median values Θmed and Ekin,med . The parabolic curves denote lines of equal orthogonal velocity (v⊥ , the velocity perpendicular to Θ). Most of the stars cluster around the LSR along the low v⊥ . The medianised values lie more or less on a straight line pointing from the LSR towards the lower left. The LSR is marked by a star, the Sun’s current values by a circle and the medianised one by a triangle. 75 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS revolution around the Galactic centre, a considerable range in orbital velocity Θ (e.g. the Sun has a Θmin of 203 km s−1 and a Θmax of 237 km s−1 ). Furthermore, all stars spend a large part of the time at a galactocentric distance ($) which is near the turning points of the orbit, i.e. near its peri- and especially apogalactic distance8 . For a sample of stars this means that the distribution of velocities is not necessarily a Gaussian but may be a broader, even possibly bimodal distribution, because the extreme values are more densely populated. The second Keplerian law leads to the result that the high velocity part is less populated than the low velocity end. Stars spend more time near apogalacticon than at perigalacticon. Because of the density structure of our Galaxy there are more stars nearer to the centre than further away from it. Therefore the density of stars is smaller towards the Galactic anticentrum, which is where many of the stars we see in perigalacticon come from9 . Another consequence of the second Keplerian law is the asymmetric drift, i.e. the effect that the velocities of a sample of stars generally lag behind the orbital velocity of the local standard of rest. This lagging behind depends on the eccentricity of a star’s orbit; the more eccentric it is the more the mean orbital velocity deviates from ΘLSR , an effect that can be clearly seen in Fig. 4.7. For this reason a sample of stars with moderately eccentric orbits is on average slower in Galactic rotation than a sample of stars with kinematically cool orbits. The Toomre diagram (Fig. 4.3) shows this effect especially well as the asymmetry of the distribution of data points, with more objects being at Θ < ΘLSR than at Θ > ΘLSR . In Sect. 4.2.2 we noted that there are quite a number of stars with relatively high orbital velocities (Θ ≥ 250 km s−1 ). Looking at the orbits and Θ over the complete orbits of these stars shows that their kinematics are very similar to those with values for Θ of less than 200 km s−1 . This means that every sample of Thick Disk stars must have a number of objects having a Θ significantly faster than the LSR (for solar like orbits the range in Θ covered is much smaller). Now looking again at Figure 4.2, one sees that the histogram peaks at ∼220 km s−1 and has a plateau down to 150 km s−1 . The reason for this could be that the stars come from two populations, namely a kinematically hotter one, i.e. the Thick Disk, and a minority of stars, having much tighter orbits, which represent the Thin Disk. In Figure 4.7 we plotted the current and median values of the orbital velocities Θ against the eccentricities and normalised z-extents of the stars. In the upper left panel of Figure 4.7 one can see that most of the stars have low to moderate eccentricity orbits but a group has high ecc values with a less populated region near ecc = 0.6 (which was already evident in the histogram of Figure 4.6). Moreover it is apparent that while there are more stars having a Θ smaller than ΘLSR , about 1/4 of the objects have higher velocities. As the current Θ are only momentary values and change over time we plotted the median of Θ over the whole orbit (We took the median rather than the mean because it separates the values a little more, and for all except the highly eccentric orbits there is only a minor difference between both values). To show the complete range of variation in Θ we also plotted the maximum and minimum values in the upper right panel of Fig. 4.7. The Θmed all lie on a line, except those of the retrograde orbits. Some deviate a little from this line. These are stars on somewhat more inclined orbits having a higher W velocity component (which also adds to the velocity supporting the orbit; a star on a higher inclined orbit can have a less eccentric orbit with the same orbital velocity, 8 in terms of analytic geometry: the orbit must be continuously differentiable in all parts (i.e. no kinks or jumps etc.). Therefore as the star approaches one of the turning points of the orbit (either peri- or apogalacticon or a local zmax i.e. zmax ($)) the velocity component in the direction will become smaller and smaller until it reaches zero. Therefore the probability distribution in $ (or also z, see Sect 4.3) shows peaks near the extremes. As a consequence of the second Keplerian law (Kepler et al. 1619) the peak for the perigalacticon becomes less pronounced with higher eccentricity orbits. 9 This is similar to our solar system. While the individual planets are more likely to be found near their aphel than their perihel, there are more planets closer to the Sun. 76 4.2. Kinematics and orbits because of its larger W velocity component). Again, the two groups of stars can be seen as well as the division at ecc = 0.55. At ecc < 0.2 the trend in Θmed is small, and at higher values it gets more pronounced. Again the Thin Disk part, if it exists, makes up a large part of this low ecc group. In the lower two panels of Figure 4.7 plots of log nze (log nze because most values of nze are clumped together at low values) against Θ, Θmed are shown. The left panel shows the distribution of nze of our sample. The central condensation marks the majority of disk stars, and the outliers towards low or very high Θ are the Halo stars. The spur towards low nze at LSR velocities consists of datapoints of solar type orbits. On the plot log nze − Θmed the different subdivisions of our sample can be seen even better, on the left are the Halo stars, which have a low Θmed (the high velocity Halo stars also lie in the left of this diagram). The bulk of the Thick Disk stars cluster around Θmed = 200 km s−1 , log nze = −0.9, and the solar kinematics extension protrudes towards the bottom of the diagram. At values of log nze > −0.7 there seems to be a gap appearing between ΘLSR and the data points. It is possible that the Thin Disk population represented by the spur more or less ends at this point (which corresponds to a zmax of ∼ 1.7 kpc or 5-6 Thin Disk scale heights). The stars having a Θmed of more than about 190 km s−1 and a nze of less than ∼0.2 (log nze = −0.7) are the prime candidates for the Thin Disk component. However the region leftward of the spur might also be filled out with data points, because stars having such kinematics may not be represented in sufficient quantity in our sample (see Sect. 4.1.1.1). In fact there is one isolated data point in this region, belonging to the nearby star SB 707 (see Sect. 4.2.4). So potentially the lower right plot of Figure 4.7 is a suitable tool to kinematically separate Thin and Thick disk stars, if these populations are kinematically detached at all. However more stars at low z must be included to see what really goes on in the low z range. Another method of analysing the kinematics of stars is using the kinetic energy (or total velocity). In Figure 4.8 we plotted the kinetic energy 2 · Ekin /m = U 2 + V 2 + W 2 against Θ. The parabolas plotted in Figure 4.8 are lines of equal v⊥ (velocity orthogonal to Θ). This velocity is a measure of kinetic temperature, the higher its value the more an object’s orbit deviates from a circular orbit. As can be easily seen, most of the values cluster around the LSR on a banana shaped region alongside the v⊥ = 0 km s−1 isovelocity line. This clustering means that the majority of them is kinematically relatively cool. A few stars are located further away than the bulk, and in some cases quite far away from the v⊥ = 0 km s−1 contour. These are the kinematically hot stars. The reason that most of our stars have quite low v⊥ values is that most stars are near their orbital turning points, i.e. their apo- or perigalacticon. In these orbital phases the Φ component is minimised. As the current Θs and Ekin s are just snapshot values, we also calculated the median of both quantities using the whole orbit and plotted these in Figure 4.8 as well. These data points lie nicely on a line pointing towards lower Θ and lower Ekin away from the LSR. Those with the lowest values spread out more than the others. Furthermore there is a gap near Θ = 110 km s−1 . Stars located to the left of this gap have rather hot orbits. Their considerable dispersion in inclination is shown by the spread along the line (caused by the W velocity component). They represent the Halo population. The stars at Θ > 110 km s−1 are the Disk stars. Clearly the asymmetric drift of each star can be seen. The warmer an orbit is kinematically (seen by increasing v⊥ ), the lower its orbital velocity is. Considering Ekin and Θmed in Fig. 4.8, there is (similar to what we saw in Figures 4.6 and 4.7) a clear division between the Halo and Thick Disk with the division line here being at Θ = 110 km s−1 . Dividing Thick and Thin Disk is not so straightforward. Perhaps only the distribution of a sample complete to the Galactic plane will lead to a separation of these two kinematical populations. To conclude, analysing the kinematics of the whole orbits instead of just the current values gives further insight into the kinematic behaviour of a group of stars. In our case the Halo and Disk com77 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS ponents of our sample are clearly discerned (see Figures 4.6, 4.7 & 4.8). Of the 114 stars, 16 (14%) belong to the hitherto unknown Halo group, the rest are Disk stars10 . Thin and Thick Disk groups cannot really be separated, at least not with the current sample, which is perhaps lacking in Thin Disk stars. Possibly the kinematics of both disk components are not disjunct so that for a detailed analysis statistically complete distributions are required. 4.2.4 N OTES ON INDIVIDUAL STARS • SB 744: SB 744 is a sdB binary star intensively studied by Unglaub & Bues (1990) and probably the strongest evidence for the existence of Halo sdBs, because its proper motions come from the Hipparcos catalogue. As the Hipparcos parallax is consistent with zero, the distance was calculated using the values for Teff and log g derived by Unglaub & Bues (1990). The brightness of the much fainter companion was not taken into account for the distance determination because it would shift the object further away by only a few percent. The radial velocity was taken from Kilkenny & Muller (1989) and is consistent with the rather crude estimate of Unglaub & Bues (1990). The orbital velocity is 31 km s−1 , its orbit is chaotic (see Fig. 4.5) and it has a very small perigalactic distance. This is one of the stars with an orbit similar to those shown in Altmann & de Boer (2000). • HE 0136−2758 and HE 0221−3250: These objects are also very high probability Halo candidates. They are the only stars in the sample having a significantly retrograde orbit. The value of Θ for these objects depends only weakly on their radial velocity, so in the case of having measured an extreme value of variable radial velocities caused by binarity will most probably not transform the stars’ kinematics into those of disk stars. • HE 0516−2311 and HE 0523−3914: These two stars have very extreme orbits, bringing them very far away from the Galactic centre or the solar vicinity. HE 0516−2311 has the most extreme orbit of all of our stars and the highest value for Θ. While the photometry for this star is only photographic (see Sect. 2.3.2), the resulting somewhat larger uncertainty for the distance can however not be used to explain the extreme kinematics of this star. Another striking property of the orbits of these two stars is that they are relatively similar. This raises the question as to whether they have a common origin. Their orbital velocities which are near the escape velocity of the Galaxy may lead to the speculation that these two stars come from a stellar aggregate accreted relatively recently by the Milky Way. Although two objects with relatively similar extreme kinematics is not very significant evidence, this coincidence is surely notable. This aspect is discussed in greater detail in Sect. 6.2.4. Apart from these two objects, there are a few more stars having an apogalactic distance of 30 kpc or more. These are HE 2156−3927, HE 0151−3919, HE 0407−1956, HE 0532−4503 and PG 1519+640. • HE 0218−4447: This star is the only sdO star in the sample. Although its value for Teff (Teff =44500 K) is somewhat higher than the limit for an sdOB star, the star was kept in the sample. A problem concerning sdO stars is that their evolutionary stage is ambiguous, because stars can reach the sdO regime in different ways (EHB, AGB-manque, pAGB). The kinematics of this star are inconspicuous; it has a disk orbit reaching a zmax of just over 2 kpc. 10 78 a further (unsure) candidate may be HE 2349−3135, see Section 4.2.4. 4.2. Kinematics and orbits • HE 2349−3135: This star has a Θ of 256 km s−1 , and an eccentricity of 0.49, values rather corresponding to stars of the Thick Disk. However it moves to nearly 12 kpc from the Galactic plane. Therefore this object can either be an extreme Thick Disk star reaching a zmax of 12× the scale height of this component, or it is a Halo star on a moderately eccentric but highly inclined orbit, analogous to that of HE 0136−2758 (which clearly is a Halo object as it has a negative Θ). The value Θmed places this star near the border between disk and Halo. The third possibility is that it is one of the close binary sdBs with a highly variable radial velocity − its measured value is quite high − if the measured radial velocity is far off the systemic one, it could mean that the star might have a much closer orbit. But this is only speculation; certainly the radial velocity of this (and other stars) has to be re-analysed. For the time being HE 2349−3135 is considered to be part of the Halo part of our sample in the kinematic analyses and also in the determination of the scale heights, but not in the number or the percentage of Halo stars in our sample. • PG 1716+426: Its proper motion is based on Hipparcos data and its quality approaches that of the Hipparcos data (Geffert 1998). The resulting orbit is a Thick Disk type orbit. This star is one of those which are known to have a large amplitude variation in its radial velocity. The systemic radial velocity that we used taken from Morales-Rueda et al. (2002) is only slightly different to that used by Geffert (1998). • SB 707: At first glance the orbit of this star is rather inconspicuous. However it has a very low nze of 0.03, a high eccentricity of 0.47 and therefore a low Θ. The isolated datapoints of SB 707 can be clearly seen in the lower panels of Figure 4.7, well away from the remainder of data points. As it is one of the stars with a Hipparcos proper motion, the velocity errors are small. So the star is either a (Thick) Disk star with extreme kinematics or it is a low inclination Halo star. On the other hand its Θ is similar to quite a number of other stars so it is possible that there are more stars with the same combination of nze and Θ. Stars with low inclined orbits are out of bounds of the parts of the sample taken from the HE-catalogue and from de Boer et al. (1997a) so selection effects might come into play here once again (see Sect. 4.1.1.1). 4.2.5 S ELECTION EFFECTS Apart from the selection effects discussed in Sect. 4.1.1.1 which are mainly caused by the sample composition, there are other effects resulting from the kinematics and orbital morphologies themselves. These therefore not only occur in studies of specific object types but in any kinematic study such as the one presented here. Stars with different vectors of motion (in respect to the Sun) have different probabilities of venturing into the vicinity of the Sun (defined by the observable range of this study). An object with a motion differing a lot from the solar motion will only stay in the solar vicinity for a short while; a star with a solar like orbit will remain there for a very long time. One the other hand an object of the “fast moving” type (i.e. relative to the Sun) has a greater probability of moving into the solar vicinity, because a “solar like” object, once it is outside the solar range, will stay outside for a long time. Presumably these two effects11 compensate each other or nearly do so; therefore we do not expect significant skewness in our analyses caused by this. However stars with extreme kinematics might very well be affected. This especially applies to stars on retrograde orbits or in principle to stars orbiting significantly faster than the Sun. However stars with a Θ of 600 km s−1 or larger probably do not exist in the Milky Way in great numbers (some of the stars of our sample already have rather 11 This is in principle the old problem of the two clocks: Which one is better, a clock being slow (or fast) one minute per hour or one that is completely broken? 79 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS extreme orbital velocities) because they will escape from the Galaxy altogether. Stars with a retrograde motion of −200 km s−1 (which is as far away from the 220 km s−1 of the Sun as Θ = 600 km s−1 ) may very well exist, but as they cross the solar vicinity in a very short time, it may be very difficult to discover them. A similar phenomenon could occur when looking at the motion perpendicular to the Galactic plane. Here stars on polar orbits are presumably underrepresented in respect to stars travelling on an orbit with a smaller inclination angle. Therefore spherical populations such as the Halo may appear flattened somewhat when examining the distributions of their stars using the kinematics. The effect on disk-like populations such as the Disks should be of much smaller magnitude. Therefore we do not take it into account in the present study. Maybe the U /Φ component shows the most striking example of this differential motion bias. When looking at our Halo sample one sees that there is a high velocity and a low velocity part (in Θ), with very few stars inbetween. As shown in Fig. 4.8, there is no kinematic difference between these two groups − they are just stars on different phases of their orbit. (The high velocity objects have however, higher IZ values than the low velocity component, see Table 4.2). The bimodality of the Halo arises from the effect that when they are near one of the turning points of their orbits (Θ maximal or minimal, U/Φ near 0 km s−1 ) when near the Sun, they will stay there for a longer time (as far as Θ and W permit them) than when they are on a intermediate phase of their orbits. This probably explains most of the bimodality of the group of Halo stars. We do not quantitatively analyse probable effects caused by the selection effects discussed in this subsection, because the focus of this study was to determine quantities like the scale height of the Disk, which is not as much affected by such a bias, and to find a possible Halo population. The number of Halo stars is too small to give more than rather crude values for the scale height and other quantities. However we do point out that in the future (when larger samples give us the opportunity of a more detailed analysis of the Halo population) it is certainly worthwhile if not essential to analyse and quantify the biases introduced by such phenomena. 4.3 D ETERMINING A SCALE HEIGHT FOR THE STARS USING THEIR OR BITS 4.3.1 z- PROBABILITY PLOT AND SCALE HEIGHT As done before in de Boer et al. (1997a) for 41 stars, we have derived the z-distribution12 using the orbits of the stars of our sample of 114 stars. The program used to calculate the orbits does so for a fixed time per step, in our case 1 Myr. Plotting a histogram of the orbit in $ or z leads to the $ resp. z probability distribution for the star, i.e. the probability to find the star at a certain $ or z distance. Plotting the histogram for the whole sample (by adding up the individual histograms) leads to the probability distribution for the complete group. From this the density gradient for the sample can be deduced. One may now fit an exponential distribution and determine the scale height using the relation z ln N (z) = ln N0 − , (4.3) z0 12 z is the (positive) distance between the Galactic plane and a point (such as a star) while Z means the Z-coordinate of the point in the XY Z, U V W system. Technically we are determining the Z-probability distribution, because we are measuring the slope above and below the galactic plane, i.e. for Z < 0 kpc and Z > 0 kpc. Assuming the symmetry of the disk in Z direction both slopes will have similar values and can therefore be averaged to one, namely the z-distribution. 80 4.3. Determining a scale height for the stars using their orbits with N (z) being the number density at z, N0 being the density at z = 0 kpc, and z0 the scale height. The scale height is the reciprocal value of the slope of the ln N distribution. As we do not have a defined volume in which the stars are located we are unable to determine absolute values for N (z) and N0 . The absolute values we obtain with this fit are arbitrary (they depend on the number of data points in the sample, in our case (114 stars with 10000 data points per orbit) 114×106 ). However what we can determine, are relative values of the form N1 (0)/N2 (0) in the case that there are two or more slopes. The method is described in greater detail in de Boer et al. (1997a). The z-distribution is depicted in both linear and logarithmic form in Figure 4.9 (Panels a and b). Panel b) of Figure 4.9 clearly shows that our distribution consists of two components with different zdistributions, a central one with a steep slope and an outer shallow distribution. Fitting linear equations to the various regions leads us to scale heights of 1.0 (±0.1) kpc for the central (steep) part and 7 (±2) kpc for the outer (shallow) parts. For the fit of the steep slope we used a fitting interval of [0.7,4] and [−4,−0.7] kpc and [7,17] resp. [−18,−7] kpc for the shallow slope13 The results for the upper (Z > 0 kpc) and lower (Z < 0 kpc) half of the distribution are z0,+ = 1.04 kpc and z0,− = 0.93 kpc for the central part and z0,+ = 7.2 kpc, z0,− = 6.5 kpc for the outer parts. The main reason for the greater uncertainty for the outer part is that this relies on only a small group of stars and therefore suffers from small number statistics. On the whole the result for the component with the steep slope is very similar that that of de Boer et al. (1997a) based on a sample only 1/3 of the size of the present. The other component was not noticed by de Boer et al. (1997a), because their sample has only a few data points at z > 2 kpc. For small z the distribution is less well known. Here selection effects come into play (see Sect. 4.1.1.1). The volume of our sample containing the stars which only reach low z-heights is small. The vast majority of our stars are located at z-heights of between 0.5 and 2 kpc, so that only a few stars having a zmax < 0.5 kpc are included in our sample. 4.3.2 E FFECTS OF E RRORS The effects of the errors of the input parameters, i.e. distance, radial velocities and proper motions on the derived scale height were intensively analysed by de Boer et al. (1997a). They added the errors to these quantities, calculated new orbits, and computed the scale heights anew. The most important effect may be caused if there is a systematic error in the distances which would decrease the scale height if the distances were systematically too low and increase the scale height if it is too high. The effects of the other quantities are smaller, with the scale height being smallest when no error is added. As we expect similar effects on our sample, we did not repeat the error analysis but refer to de Boer et al. (1997a). 4.3.3 S CALE HEIGHT AND GALACTOCENTRIC DISTANCE To see how the scale height results vary with galactocentric distance we cut the cumulative orbit file of our whole sample into bins in galactocentric distance ($) and determined the scale heights for each. In all bins (except the outermost bin $ ≥ 15 kpc, where the inner, steep distribution is missing) both components were found, although the outer, shallow component was overwhelmed by the steep 13 The intervals used for this component are slightly different because of a disturbing spike in the one direction, which would somewhat falsify the fit result. 81 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS Figure 4.9: Histogram of the z distance-statistics of the stars of the sample. a) and b) show the histogram of all 114 stars in the sample. a) shows a linear representation of the z-distribution of the stars, b) a logarithmic one. An exponential distribution can be fitted leading to a scale height (see text). Two slopes can clearly be seen in the right panel. The binsize is 50 pc. The dashed lines in the upper right panel show the exponential equations (linear in the logarithmic plot) fitted to the data, the full lines the double exponentials. The dot-dashed vertical lines denote the fitting intervals of the two double exponential functions. c) and d) show histograms of only the disk population (c, 97 stars), and only the Halo population (d, 17 stars). 82 4.3. Determining a scale height for the stars using their orbits component and thus hard to identify in the bins near $ ' 8.5 kpc. The results for the scale height of the steep component is similar (however a little smaller) to the result derived from all data points. Several aspects have to be taken into account such as the increase in scale height with $ and the increase of solar like orbits in the central bins which counteract each other because the latter have a smaller vertical extent. Therefore no significant trend with $ can be seen in the steep scale height. The extended, high z distribution is based on only a few stars. For this reason one expects a large spread in the derived scale heights of the subsamples. Apart from this there is a trend from small to large scale heights with $. This is not surprising and is an effect of the diminishing gravitational potential with galactocentric distance. Another reason is that because we are cutting slices into a sphere when doing this kind of analysis, a star in one of the inner bins would have to reach a higher and higher zmax to keep up a high scale height. Such a star would never venture near the Sun and would never be part of our sample. 4.3.4 ROBUSTNESS OF THE SCALE HEIGHTS , SEPARATING THE DIFFERENT POPULA - TIONS In order to test the stability of the values of our scale heights we made tests with changed fit interval limits. Furthermore, to determine how the the various components influence each other, we derived scale heights with various subsamples excluded. Shifting the lower and upper border of the fit interval of the steep component, leads to a variation of the result of about 100 pc. So, the interval used for fitting leads to an error of ∼ 50 pc, which means that the derived slope and hence scale height is relatively robust in this respect. The fit intervals used to determine the slope have a larger influence on the Halo component because of various peaks caused by individual stars. The presence of the Halo component has some influence on the obtained scale height. Without it (selected using the results of Sect. 4.2) the scale height tends to be 100 - 150 pc lower. For the complete disk sample without the 17 stars classified as Halo members, we find a scale height of the steep component of 0.84(±0.1) kpc instead of the 0.98(±0.1) kpc for the whole sample. For this reason the Halo component should be removed before calculating the scale height of the Thick Disk. Histograms showing only the Disk and the Halo components of our distribution are shown in 4.9 (Panels c and d). Removing the stars with the coolest, i.e. most solar-like, kinematics − those that are most likely Thin Disk members − leads to a slightly higher scale height of a little over 0.9 kpc (for a sample having all Halo and all stars with ecc < 0.15 and nze < 0.15 excluded). Obviously the influence of Thin Disk stars is much lower. This becomes quite clear, when one considers that removing stars with a nze lower than a certain value only changes the distribution in the middle. Therefore, the selection effects described in Sect. 4.1.1.1 do not play a significant role for the determination of the scale height as the central part is not used for the fit. If the sample were complete for the low z stars, the central part would fill in and possibly result in a third perhaps still steeper component, representing the Thin Disk. The end points of the fit are more significant for the Halo component than for the disk part. This is expected as spikes in the distribution caused by individual stars are important − this subsample contains only 17 stars. On the other hand the influence of the disk on the Halo scale height is small. With the results of this analysis we conclude that the value of the scale height of the steep component, representing the Disk is 0.84(±0.07) kpc, and that of the shallow part is 6.5(±0.2) kpc. 83 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS These errors are only based on the differences of the two derived values for the scaleheights (Z > 0 and Z < 0). Another approach is not to separate the sample into a Disk and a Halo part but to use the whole distribution and fit a 2-component function to this. The advantage of this is that one does not have to rely on selection criteria, which are not without arbitrariness. This double exponential function (which accounts for the overlap in the region where both components are of similar strength) has the following form: ln N (z) = ln(ND,0 · e−z/zD + NH,0 · e−z/zH ) (4.4) with the indices D,H referring to the Disk and Halo respectively. The resulting fit of this equation to the data is shown in Fig. 4.9 panel b). Here we used fitting intervals of [0.7,17] kpc and [−18,−0.7] kpc (shown in Fig 4.9). Varying the fitting intervals lead to the following results: Raising the lower limits caused the scaleheight to slowly rise. This trend was mainly caused by one side of the distribution, the other one did not change. The upper limit has the same difficulties caused by the spikes as in the single exponential fits. The resulting values for the scale heights are zD =0.93(±0.09) kpc and zH =7.0 (±0.5) kpc. This means that there is a difference of 0.09 kpc between the Disk scale heights derived using population separation and the 2-component fit. The difference between the two values for the Halo is as large as 0.5 kpc; this may be related to the effect we see for the Disk scale height, but as the values for the Halo are not very certain and depend much on the fit intervals, we do not further discuss the differences of the Halo scale height values. Reasons for this small discrepancy could lie in the fit, as the Halo component may have an influence on the derived value for the Disk, or in the point that Disk and Halo may not have been completely separated using our selection criteria (Disk star being incorporated in the Halo sample) in the method of the separate fits14 , which is however somewhat unlikely. Fitting intervals could still play a role here. To conclude, we consider the 2-component method the most trustworthy and finalise the value of the scale heights as: 0.92+0.08 −0.12 kpc for the Disk (or 0.9±0.1 kpc) and 6.8±1.5 kpc15 for the Halo component. 4.3.5 M IDPLANE NUMBER RATIO OF THE TWO COMPONENTS FOUND The steep distribution has a peak value of ln N0 = 10.3 and the shallow part peaks at ln N0 = 6.5. Therefore the relative density of the shallow with respect to the steep component is 1.25(±0.25)%. The zero point of the broad distribution has of course a high uncertainty because it relies on the data of only a few objects. Therefore the ratio of densities is only an estimate. 4.3.6 C ONSTRAINING THE T HIN D ISK COMPONENT As said before, due to the selection of the stars forming our sample we do not get reliable information about the z-distribution of the stars with zmax less than about 0.7 kpc (The reliability starts to deteriorate at even higher values). Therefore we cannot make definite statements about a possible Thin Disk 14 HE 2349−3135 is not the culprit, that has been tested. This error is an estimate, but certainly more appropriate than the values shown above, derived from the difference of the two fits (upper and lower half). 15 84 4.3. Determining a scale height for the stars using their orbits Table 4.3: Compilation of our results for the scale heights (z0 )and mid plane densities N0 for Thin Disk, Thick Disk and Halo. N0 of the Thick Disk is always set to 100%. Method (Old) Thin Disk Thick Disk Halo N0 z0 N 0 z0 N0 z0 [%] [kpc] [%] [kpc] [%] [kpc ] separate linear equations – – 100 0.98 1.3 6.8 populations separated by – – 100 0.84 1.3 6.5 selection criteria 2-component fit – – 100 0.93 1.2 7.0 a a a a 3-component fit 330 0.30 100 0.93 1.2 7.0a b adopted values – – 100 0.92 1.25 6.8 a : This fit is solely used to give a constraint on the Thin Disk. All quantities marked with a are held fixed. b : These values mostly rely on the 2-component fit, but are shifted a little towards the result obtained with the separated populations. component, which mostly consists of stars at smaller zmax . We can however determine an upper limit for this Thin Disk sdB population. To accomplish this we need a three component distribution model (similar to the two component function used in Section 4.3.4), having the form: ln N (z) = ln(NOD,0 · e−z/zOD NTD,0 · e−z/zTD + NH,0 · e−z/zH ) (4.5) The indices TD and OD mean Thick Disk and Old (Thin) Disk (assuming that the majority of the sdB stars are old, and hence the bulk of the Thin Disk population belongs to the Old Disk) respectively. The values for zTD , NTD,0 , NH,0 and zH are fixed to the values resulting from the fit in Section 4.3.4. The scale height of the Old Disk is assumed to be 0.3 kpc, consistent with most results of star counts (see Table 6.1). Thus the only free parameter of this fit is the z=0 kpc density of the Old Disk (NOD,0 ). The resulting value for NOD,0 is: NOD,0 = 3.4+0.9 −1.4 × NTD,0 . The (not surprisingly) very large errors for this value result from the large differences in the derived values of the fits to the upper and lower flank of the distribution. This value, meaning the z = 0 kpc density of the Thick Disk normalised to that of the Old Disk is in the order of not less than 30%, or if one takes into account the errors between 20% and 50%. This is a much higher value than any result from other studies (see Table 6.1) which arrive at values for this ratio of between 2 and at most 15 % (most between 4-8%). Apart from problems arising from the fit itself (the lever for the Thin Disk component is very short and therefore very prone to errors) there are probably two reasons for this: 1. The relative incompleteness of our data described in Section 4.1.1.1 begins earlier than z=0.7 or 0.8 kpc. That this has some influence is quite probable, because the majority of our stars are at greater z-heights than 0.8 kpc. However the Thick Disk component does not appear to be affected significantly because tests with increased lower fit limits do not lead to much different results. 2. The other probable influence is an astrophysical one. In contrast to nearly all of the other studies which dealt with mostly main sequence stars, or general star counts (i.e. counting mostly main sequence stars) our study has a evolved star type as subject. 85 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS As far as we know the Thick Disk and Halo are populations which have completed their star formation a long time ago. Moreover this period of star formation seems to have been during a relatively well defined and also rather short timespan16 . This does not hold true for the Thin Disk which has been forming stars since it came into existence about 9 Gyr ago (Knox et al. 1999) until the present. Therefore the ratio of the density of the Thin Disk and that of one of the other components is higher when all stars or main sequence stars are taken into account, and lower if only objects of an evolved star type are counted. Now it can be argued that most types of evolved stars (in our case sdBs) can be formed from stars of e.g. 2 M , i.e. from relatively young stars (∼ 1 Gyr). While this is in principle true, there is another aspect that is to be considered: There are far more low mass stars than stars of e.g. 2 M which means that the vast majority of our sdB stars (and accordingly any evolved stars to which no predecessor of a well defined mass can be allocated) would be formed out of stars near the lowest mass possible17 . Therefore it is expected that the density ratio between a population with an ongoing star formation and a population which ceased forming stars depends on the object used for the determination. This can very well explain our high Thick/Thin Disk ratio. Which of the two effects plays the dominant role can at present not be determined. However they certainly influence the result of our study. The lesson to be learned from this is that it is crucial to know what the subjects of study are especially when comparing the results with others. 4.3.7 D ISCUSSION OF RESULTS Our scale height study resulted in finding two components, one with a large and one with a moderate scale height. A compilation of the results with the different strategies described in the sections above, is given in Table 4.3. The latter scale height is with z0 = 0.9 kpc very similar to that found for the sdB stars by de Boer et al. (1997a). It is also similar to the determinations of the scale height of the Thick Disk (see e.g. Ojha 1994, Kerber et al. 2001, Chen et al. 2001) and discussion below. Thus the steep component in Fig. 4.9 (Panel b) can be identified with the Galactic Thick Disk population. The analysis of the kinematics (Sect. 4.2) showed that there are some stars with solar kinematics. These stand out in the histograms of Figure 4.9 as the extra double peak in the centre. Presumably these and perhaps some more belong to the Old Thin Disk. The shallow, high z component represents a drastically different population of stars. It is rather hard to imagine a disk-like population with such a scale height if one considers the Galaxy’s radius being of the order 15 kpc. So we speculate that this component is actually a spheroid or an ellipsoid. To make significant quantitative statements about the shape of the distribution of this population more stars are needed than the few which are discussed here. But we can say that this subsample consists of members of the Halo. The density ratio of the Halo to the Disk component extrapolated to the Galactic plane is 1.2%. This value is of course quite uncertain. Kerber et al. (2001) found a density ratio of 0.2% for Halo and Thin Disk. Chen et al. (2001) found a local relative density of the Halo against the Thin Disk of 0.125%. Our higher values for the Halo to Disk density is probably due to the fact that our Disk stars are rather members of the Thick than the Thin Disk, or a mixture of both. The literature values for 16 Of course the early phases of the evolution, and hence star formation scenarios are still much under debate. A short and early star formation phase of the Thick Disk is underlined by observational evidence Edvardsson et al. (1993) and also theoretical models (see e.g. Burkert et al. 1992; Quinn et al. 1993). 17 This even more holds true when the SFR in the Galactic disk declined from the beginning to present. 86 4.4. Discussion: kinematics and the population membership of sdB stars the Thick/Thin Disk density ratio range from about 5% to 10%. Assuming a Thick/Thin Disk relative density of 7.5%, we obtain a Halo/Thick Disk ratio of 1.7%. This is rather similar to the value derived from the sdB stars. 4.4 D ISCUSSION : KINEMATICS AND THE POPULATION MEMBERSHIP OF SD B STARS As shown in Sections 4.2 and 4.3, the sdB stars of our sample belong to different populations. In this Section we discuss the different groups and implications for the evolutionary processes that lead to the formation of sdB stars and questions of Galactic structure. 4.4.1 T HE D ISK The vast majority of the sdB stars was found to belong to the Galactic Disk. While most stars have orbits of moderate eccentricity and reach normalised z-heights (nze) of around 0.2, there are quite a few which have near solar kinematics, and are therefore more likely to be associated with the Thin Disk. Unfortunately, the sample composition prevents us from separating the two populations unambiguously if these are separate at all (see Sect. 4.1.1.1). The histogram in Figure 4.2 shows a Thick Disk-like distribution with a Thin Disk peak. This implies that the stars of our sample come from both Disk components. Because of our result for the scale height and the velocity dispersions, we conclude that the majority of the sample belongs to the Thick Disk. On the whole most other studies arrive at values similar to what we found for the scale height and kinematics of the Thick Disk. There is however still some disagreement among these studies concerning the scale height and hence the local relative density. Kerber et al. (2001) derive a scale height for the Thick Disk of between 0.8 and 1.2 kpc. Reylé & Robin (2001) favour a value of 0.8 kpc, Chen et al. (2001) on the other hand arrive at 0.58 - 0.75 kpc but with a much higher local density of 6.5 - 13% of the density of the Thick Disk. In contrast to those results, Reid & Majewski (1993) find a scale height of 1.4 kpc, in this case the local density being not large, ∼2%. As can be seen the values differ by at least a factor of 2. Our value of 1 kpc is only a little above the values obtained in most studies. The velocities and velocity dispersions are under much less dispute than the scale height. Most studies arrive at values near those of Ojha et al. (1994), i.e. ∼ 50 km s−1 for each U V W component and a value of 175 km s−1 for the mean orbital velocity of the Thick Disk. Our larger value for V̄ /Θ̄ and σV /σΘ is related to the Thin Disk and Halo contamination. When we only consider stars with ecc ≤ 0.55 thus excluding most of the Halo objects, we obtain values for σV /σΘ of about 50 to 60 km s−1 (see Table 4.2). In a recent study of the kinematics of local F and G main sequence stars, whose population membership was determined using their metal abundances (Fuhrmann 2000), an asymmetric drift of 80 km s−1 was derived, which is larger than the results for the asymmetric drift found by most other studies. Our results indicate an asymmetric drift of ∼30-40 km s−1 the majority of the stars have orbital velocities higher than 140 km s−1 and only a minority have a lower Θ. If one would aim at compatibility with Fuhrmann (2000) the vast majority of our stars should be Thin Disk stars, which would mean that the scale height and velocity dispersion of the Thin Disk are much higher than generally believed. 87 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS 4.4.2 T HE H ALO As described in Sect. 4.2 and 4.3, the Halo component stars can relatively easily be separated from the Disk population. A number of 16 or 17 stars (see Sect. 4.2.4), i.e. ∼15% of the complete sample of 114 stars, form our Halo sample. It is approximately divided in half, one part having small orbital velocities, i.e. having orbits similar to those of the HB stars of Altmann & de Boer (2000), and the other, the high velocity component, having Θ velocities far higher than that of the LSR. As can be seen in Figure 4.8 there is no or only a small difference between the kinematics of the two groups. They represent orbits in different phases − the low velocity ones are currently near their apogalacticon and the others are close to the perigalacticon where Θ is highest. Therefore the orbits of both groups of the stars of our sample cover different radial spaces in the Milky Way. That they form a bimodal velocity distribution rather than a continuum in our sample is a consequence of the selection effects discussed in Sect 4.2.5 and small number statistics. However some of the orbits of the high velocity group extend very far out, further out than what is generally considered to be the limits of the Galaxy. Their orbits are rather transient than bound orbits. So one might speculate that the history of these stars is somewhat different than that of the low velocity Halo stars. It has long been known that stellar groups exist at distances large compared with what is regarded as the normal extent of the Milky Way. Harris (1996) lists 9 globular clusters with a current galactocentric distance of more than 30 kpc, the most remote objects being at 100 kpc or more. Dinescu et al. (1999a) have 6 objects in their sample of 38 globulars with kinematic data which go beyond 30 kpc. With one object (Pal 3) in common that makes 14 globular clusters of the 147 listed in Harris (1996), venturing that far. However not only globular clusters but also field stars have been found that far from the Galactic centre. Vivas et al. (2001) found ∼ 150 RR Lyrae stars at distances of about 50 kpc and Yanny et al. (2000) found a large number of HBA stars forming a group or a stream at a similar distance. So clearly this remote spatial regime is not unpopulated. Our group of Halo and high velocity Halo stars is too small to state anything definite about the origin and behaviour of distant stellar groups as a whole. However we speculate that two of our stars might have a common origin because their trajectories are quite similar (see Sect. 4.2.4). Analysing a larger sample might therefore give insight into moving streams of Halo stars which are being incorporated into our Galaxy (see e.g. Helmi & White 1999). 4.4.3 A SPECTS OF THE STELLAR EVOLUTION HISTORY OF SD B STARS Apart from questions concerning the structure of the Galaxy, there are still aspects concerning the evolution of stars to sdB stars which have not yet been satisfactorily solved. This especially applies to their extreme mass loss leaving a He-core nearly completely stripped of all Hydrogen. It has been suspected for a long time that a large part, or all, sdB stars are in fact products of binary evolution (see e.g. Iben & Tutukov 1987), with their unusually thin H-shell being the result of mass transfer from the evolving primary (the star later turning into the sdB star) to the secondary partner of the system. In fact many sdBs show a secondary component in their spectrum and also in their colour indices (see e.g. Thejll et al. 1994; Theissen et al. 1995; Aznar Cuadrado & Jeffery 2002 or Chapter 2 of this work). Quite a few have radial velocity variations which also hints at a binary nature of these objects (Maxted et al. 2001, 2002; Morales-Rueda et al. 2002). Because most of these do not show any sign of binarity in their spectra (neither as a spectral feature nor in the continuum), it is speculated that their companions are faint white dwarf stars. The most recent (ongoing) studies for variable radial velocities (Edelmann, Napiwotzki, priv. comm.) however find far less binary sdB stars than the earlier 88 4.5. Summary & Conclusions studies. This means that it is certainly not clear whether close binary evolution is the only way sdB stars are formed. A kinematical study does not as such prove or disprove a theory about stellar evolution. However our results show that sdBs occur in all locally observable older populations rather than only in one alone. This means that it is unlikely that there are factors such as metallicity in play. Furthermore sdBs form from stars of a quite significant spread in mass and hence in age, as the formation times of Halo, Thick and Thin Disk are of ages differing by several Gyr. Therefore our results provide at least some support for the binary scenario. Dorman et al. (1993) have calculated models of horizontal branches for various metallicities ranging from very metal-poor to supersolar metallicity. These show a thinning out of the occupation of the HB in the middle, increasing with metallicity. D’Cruz et al. (1996) have further enhanced these models, and tried to find an explanation for the extreme mass loss required to make HBB and sdB stars. The models were calculated for masses of around 1 M and somewhat less massive for the metal-poor models, to take into account that Halo stars are generally assumed to be older than the more metalrich stars of the Thick Disk and even more than those with solar metallicity. This work shows that sdB stars can be found in all populations. Our earlier work (Altmann & de Boer 2000), analysing the kinematics of all types of HB-stars in the temperature range between the RR-Lyrae and the sdB regimes, came to the result, that very few if any HBA stars are Disk stars (with normally relatively high metallicities) and few RR-Lyraes with near solar metallicities and disk-like kinematics exist. This is well in line with the models showing the deficiency in stars of the middle temperature range of the horizontal branch also in the data. The bottom line is that our results actually fit to both scenarios, the binary evolution and the RGBpeel-off mechanism of D’Cruz et al. (1996). Therefore we cannot prove or disprove one or the other, even both could be in play. A still larger low z-sample, which does not suffer from selection effects against low zmax stars (see Sect. 4.1.1.1) could help answering this question. If the binary scenario is the dominating process leading to the forming of sdB stars, then the ratio of sdB stars belonging to the Halo, Thick and Thin Disk should be similar to that of other evolved stars. If, however, the D’Cruz et al. (1996)-scheme holds true, then sdB stars in the Disk should be a little more numerous than expected. A really large and complete sample is required to find such subtle differences. 4.5 S UMMARY & C ONCLUSIONS In this Chapter we have shown that a Halo sdB population exists and determined the scale height, density ratio, mean velocities and dispersions of the Disk and Halo components. Having been found in all accessible populations sdB stars are unlike the field HBA stars, a type of which we only know Halo objects. This implies a somewhat different formation history of these two otherwise relatively similar stellar types. Possible reasons have been discussed in the previous section. The Halo/Thick Disk ratio is more or less consistent with results of studies invoking other methods. The same applies to the Thick Disk scale height. The density ratio between Thick and Thin Disk is in the contrary larger than expected. In Chapter 6 we will address more aspects, adding the results of the other studies flowing into this thesis. ACKNOWLEDGEMENTS : Special thanks to Tom Marsh (University of Southhampton) for sharing with us his systemic velocities of binary sdB stars. This research project was supported in part by the Deutsche Forschungs Gemeinschaft (DFG) under grant Bo 779/21. For our research we made with pleasure use of the SIMBAD in Strasbourg. 89 4. K INEMATICS AND POPULATION MEMBERSHIP OF SD B STARS 90 C HAPTER 5 T HE K INEMATICS OF HBB STARS C OLLABORATORS : H. E DELMANN A BSTRACT: Among the sample of sdB candidates were some stars which turned out to be HBB stars. Because these are closely related to the sdB stars (Chapter 4) and HBA stars (Chapter 3) we analysed them further and present the results of a study similar to that described in Chapter 4. Because we have far less objects in this sample than in the sdB star sample our results are far less reliable and more constricted than those for the sdB stars. Moreover the HBB stars are at the same apparent brightness further away than the sdBs, making the tangential velocities less accurate. Nevertheless we found some interesting results. While many of the stars show Halo like kinematics, similar to the HBAs and the low velocity sdBs, some are disk stars. From this we conclude that probably the population membership is rather similar to that of the sdB stars, maybe with a stronger Halo fraction. We find no HBB high velocity halo and in contrast to some of the sdB stars all but one HBB stars do not venture very far out from the galactic centre. The z-probability distribution of our HBB sample does unfortunately not allow us to fit accurate scaleheights to it. Comparison with the distribution of the sdB sample shows, however, remarkable agreement. While much remains to be done in the study of HBB stars, this study gives us hints about the nature of the kinematic behaviour and population membership of the HB stars between 10 000 and 20 000 K. 5.1 I NTRODUCTION This Chapter deals with the kinetic behaviour of HBB stars, i.e the region in temperatures between the HBA on the one side and the sdB regime on the other. As said before in Chapter 3 these objects are more difficult to identify unambiguously than their hotter or cooler siblings because they can be confused with B main sequence stars, at least as long as they are close to the galactic disk. This unfortunately also means those that are close to the Sun. At larger distances the risk of misidentification is much smaller, as B main sequence stars do not normally exist in older populations1 . Therefore there are almost no such objects in either the Halo or the Thick Disk. As described in Chapter 3, there is a significant difference in the kinetic behaviour of sdB and HBA stars, the former being mainly disk stars (the discovery of sdB halo stars described in Chapter 4 does not significantly change this trend) and the latter halo members. It is thus of great interest to study the part inbetween, where up to now we only have a few data points, because of the difficulties in proper classification described above. 1 There are a few of examples of such stars occurring in the Halo. These were probably either ejected into the Halo by some event such as the explosion of a companion or interactions between members of a cluster, or accreted into the Halo from an assimilated dwarf galaxy etc. However these objects are very rare, so they can be neglected. 91 5. T HE K INEMATICS OF HBB STARS 5.2 S AMPLE COMPOSITION AND DATA REDUCTION In the course of the observations for the study of sdB stars some sdB candidates turned out to be HBB stars, which are now added to the few stars dealt with in Chapter 3. The sample of HBB stars now contains 19 stars, an increase by a factor of three. Because the new stars come out of the same sample as the sdB stars of Chapters 2 and 4 everything said there about the sample composition and selection effects also applies for the HBB stars. Note however, that because these stars are intrinsically much brighter in the optical regime2 they are much further away than the sdB stars of Chapter 4. This means that their tangential velocity is considerably less accurate than that of the sdBs. The remainder of the sample were taken from Altmann & de Boer (2000), among these 4 stars from Schmidt (1996) (see Chapter 3). The data for these objects were obtained using the same instruments as described in Chapter 2 during the same observing campaigns. Data reduction was done in the same manner as well. Therefore we refer to Chapter 2 where the obtaining and reduction of data is described in full detail. For the distance determination we used a mass of 0.52 M instead of 0.5 M as for the sdBs to allow for the somewhat more massive H-shell of the HBB stars. Having obtained the proper motions, distances and radial velocities we transformed them into the galactic XY Z, U V W coordinate system, derived Θ and Φ and calculated orbits again using the potential model of Allen & Santillan (1991a), just as described in Chapters 3 and 4. 5.2.1 S ELECTION EFFECTS Most of the selection effects discussed in Sect. 4.1.1.1 also apply to this sample. They are, however, generally much more important, than for the sdB star sample. This is especially true for the stars taken from the HE catalogue, because they are – being of similar brightness as the HE sdB stars – due to their greater absolute magnitude at much greater distances. Therefore we miss stars with an even larger range in kinematics, so here even Thick Disk stars may be underrepresented in comparison with possible Halo objects, although not as strongly as in the case of Thin Disk stars with our sdB sample (and of course Thin Disk stars in this sample). The significance of this selection effect can be especially clearly seen in panel b) of Fig. 5.6. 5.3 5.3.1 K INEMATICS AND O RBITS V ELOCITIES To start with a word of caution: Because these stars are much further away than the sdBs discussed in Chapter 4 their tangential velocities have far greater errors. Most HBB stars lie at a distance of just under 3 kpc, while most of the sdB stars are between 1 and 1.5 kpc from the Sun. Therefore the HBB stars should be looked primarily at as a sample rather than as individual objects. The velocity components (see Table 5.1) of the stars of our sample indicate that they are a mixture of Disk and Halo stars. Some of our objects clearly seem to be Halo objects, and one (BD +36 22423 ) even has a kinematic behaviour similar to that of the Sun. Looking at the mean velocities and their 2 not in terms of luminosity, where there is only a small decline towards higher temperatures caused by the ceasing of hydrogen shell burning. 3 which lies relatively close to the Sun, so we can discuss this star as an individual object without risking overinterpretation. 92 HE 2134−4119 HE 2137−4221 HE 2203−3740 HE 2204−2136 HE 0023−2317 HE 0128−4311 HE 0225−4007 HE 0238−1912 HE 0255−1814 HE 0319−5105 HE 0420−1806 HE 0430−5341 HE 0519−3512 PG 0954+049 PG 1258−030 PG 2301+259 PG 2318+239 BD +36 2242 Feige 86 Name Y [kpc] +0.02 −0.03 +0.15 +0.82 +0.47 −0.76 −0.49 −0.15 −0.54 −1.73 −2.17 −2.42 −0.68 −2.11 −0.97 +2.81 +3.57 +0.02 +0.04 X −6.21 −6.61 −7.00 −7.22 −8.30 −8.38 −8.66 −8.90 −9.82 −8.70 −11.73 −8.84 −8.91 −10.06 −7.75 −8.74 −8.99 −8.58 −8.47 −2.56 −2.13 −2.07 −1.97 −4.14 −2.42 −1.18 −0.87 −2.43 −2.32 −3.35 −2.20 −0.51 +2.43 +2.09 −1.68 −2.45 +0.40 +0.25 Z +138 +34 +91 +129 +176 −126 +11 +161 −20 −67 +46 +270 −53 −41 −82 +237 −29 +3 +76 U +239 +155 +271 +22 −141 +80 +23 +232 −14 +15 +254 −93 +52 +213 +66 +80 +141 +227 +117 V +37 −14 −9 +14 −97 +37 −57 +133 +12 −154 +58 +234 −118 +36 +55 −45 −69 +3 −7 W [km s−1 ] −137 −34 −85 −126 −184 +118 −12 −165 +20 +63 −92 −236 +49 −3 +73 −202 +79 −2 −76 Φ +240 +155 +272 +37 −131 +90 +23 +230 −12 +28 +242 −161 +56 +217 +75 +148 +121 +227 +118 Θ +1489 +1025 +1908 +268 −1090 +762 −198 +2044 −123 +246 +2883 −1474 +499 +2233 +587 +1363 +1167 +1945 +995 Iz [kpc km s−1 ] 14.19 6.91 15.05 9.51 15.74 10.23 9.32 23.69 10.58 10.67 23.08 45.54 9.40 11.51 8.46 17.60 11.27 9.22 9.18 Ra Table 5.1: Spatial and kinetic parameters for the 19 stars of our HBB sample 4.99 4.29 6.66 0.52 5.73 2.40 0.35 6.30 0.21 1.87 10.21 4.72 1.68 10.48 1.66 3.92 3.61 8.58 2.95 Rp [kpc] 4.79 2.20 3.82 5.51 12.33 4.53 5.72 8.08 5.88 10.08 6.47 30.49 5.70 2.85 3.82 5.32 3.70 0.42 0.27 zmax 0.36 0.32 0.27 0.93 1.21 0.50 1.10 0.36 0.80 2.51 0.29 0.88 0.78 0.27 0.48 0.32 0.34 0.05 0.03 ecc 0.48 0.23 0.39 0.90 0.47 0.62 0.93 0.58 0.96 0.70 0.39 0.81 0.70 0.05 0.67 0.64 0.52 0.04 0.51 nze 5.3. Kinematics and Orbits 93 5. T HE K INEMATICS OF HBB STARS Table 5.2: Mean U V W, ΘΦ velocities, angular momentum, eccentricities and nze with their dispersions for the 20 HBB star sample. Subsample N all R ≤ 8.5 kpc R > 8.5 kpc ecc ≤ 0.6 ecc ≥ 0.6 z ≤ 2.0 kpc z ≥ 2.0 kpc 19 8 11 10 9 7 12 U σU +50 +55 +55 +65 +33 +81 +33 109 100 114 73 136 94 112 V σV +102 +101 +103 +171 +26 +107 +99 W σW [km s−1 ] Θ σΘ 116 +3 86 +104 121 +2 44 +107 112 +3 107 +102 115 +7 61 +169 51 −3 107 +32 83 −11 72 +120 131 +10 92 +95 120 117 122 112 81 80 137 Φ σΦ −50 −56 −46 −70 −28 −76 −35 102 98 105 77 121 86 108 Iz σIz ecc σecc nze σnze [kpc km s−1 ] +870 +743 +962 +1460 +214 +988 +801 1093 842 1442 1019 1852 787 1379 0.56 0.53 0.57 0.36 0.77 0.61 0.52 0.26 0.19 0.30 0.18 0.12 0.28 0.24 0.62 0.51 0.70 0.35 0.92 0.51 0.69 0.55 0.36 0.65 0.31 0.61 0.40 0.62 dispersions shown in Table 5.2 leads to the following results: Θ has a value of ∼100 km s−1 , i.e. the asymmetric drift is 120 km s−1 ; it thus lies between values expected for Halo and (Thick) Disk populations. Three stars orbit in a retrograde manner, two of these have high negative Θ (Table 5.2). The velocity dispersions are higher than those of the sdB sample but lower than the “low velocity” Halo sdB subsample (see Table 4.2). This implies a mixture of Halo and Disk stars, with a larger Halo fraction. The velocity component vertical to the galactic plane, W is near zero. What is striking, however, is the relatively large value of Φ of almost −50 km s−1 . This value has the opposite sign than what was derived for our “pure” sample of sdB Thick Disk stars (see Table 4.2) and what Fux (2001) found for the Hercules moving group4 of old Disk stars. The value of Φ is even larger for the less eccentric, i.e. more “disky” orbits. Far from zero mean values of the mean values of Φ and W can be caused by single objects with extreme kinematics. Looking at the upper panel of 5.3 the asymmetry of the distribution of the Φ values becomes apparent, even when cropping out the 2 or 4 smallest and largest values. In contrast to the sdB stars, a handful of stars of which have a orbital velocity significantly higher than that of the LSR, this is not the case for the HBBs (see Figures 5.1, 5.2 and 5.3). We divided the HBB sample into subsamples using selection criteria, similar to those described in Sect. 4.2.2.1. Because of the small number of objects in our HBB sample we only invoked simple selections using a single criterion. Dividing along the solar circle leads to two subsamples with very similar characteristics. The stars at R > 8.5 kpc have slightly larger velocity dispersions and larger spreads in ecc and nze. This could mean that the percentage of Halo stars is a little larger in the outer group. Discriminating the sample by eccentricity leads to a low ecc sample, which has a rather high mean orbital velocity of 170 km s−1 – containing most of the Thick Disk stars – and a high ecc sample, which has a low Θ typical for samples of Halo stars. However σΘ of the low ecc sample is too high for the Thick Disk, and far higher than our results for the Thick Disk sdB stars (Table 4.2). The reason for this could lie in Halo contamination. A final experiment was made in which we divided the sample into two groups closer and further away than 2 kpc to the Galactic plane. As expected the z < 2 kpc sample has a higher mean orbital velocity and smaller velocity dispersions than the other group. This probably reflects the percentage of Disk and Halo stars in each of the group, the z < 2 kpc group containing more Disk stars and a lower fraction of Halo stars than the other subsample. However each of these groups 4 Please note that according to Fux (2001) the Hercules moving group is not only a small and local group of stars with common motion such as a moving stream, but a rather large scale structure containing about 15% of all cooler stars (B − V > 0.6 mag) in the Hipparcos catalogue. 94 5.4. The vertical probability distribution and the scaleheight contains significant numbers of stars belonging to both populations, as can be seen from Table 5.2. To conclude, while this method of dividing our sample into subdivisions gives us hints that there are stars belonging to the Disk and Halo, we can not tell how large the fraction of stars of different populations is; there are simply too large contaminations in every subsample. More and more accurate data might improve the situation. 5.3.2 O RBITS The orbits of all 20 stars are shown in Figure 5.4. The orbits show a large range in shape, from tight, solar type orbits, to strongly halotic orbits extending to high z distances and highly eccentric orbits. We cannot tell the fraction of stars belonging to the various populations but it seems (from the shapes of the orbits (Fig. 5.4) and the orbital velocities (Table 5.1))Approximately half of the orbits are those of Halo stars, ∼40% are rather disky, the rest are of intermediate type between Halo and Thick Disk. The resulting values for the eccentricity and nze show the same tendency (see Table 5.2). Most stars have ecc values near 0.6 (see Figure 5.5), which is the region in the according distribution of the eccentricities of the sdB stars there seems to be a minimum. One reason for this could be the larger errors in the velocities for the HBB stars. Large errors in the velocities (Θ) of disk stars would lead to larger mean eccentricities. The maximum of the nze distribution is also at a larger value than that of the sdBs. This can mainly be explained by the larger current z-distance and thus a generally larger zmax of most of our HBB stars and the larger percentage of Halo stars. It is quite astonishing that our sample of HBB stars only includes one star venturing extremely far (40 kpc or more) from the galactic centre whereas we have several of such examples in our sdB sample. As noted in the previous section, we do not find HBB Halo stars with an orbital velocity much higher than ΘLSR as it is the case for the sdBs. A possible reason could be sdB stars which are close binaries, whose strongly variable radial velocities could imitate extreme kinematics. However in most cases it is not (only) the radial velocity which mainly contributes to this kinetic behaviour. Furthermore for some of those stars we do have the systemic radial velocity. Therefore sdB binarity cannot be the only possible explanation. It seems that while Halo sdB stars are rather evenly distributed among outer and inner Halo, Halo HBB stars are more closely confined to the inner Galaxy. The HBA stars of Chapter 3 also have orbits which indicate that they rather belong to the inner Halo. 5.4 T HE VERTICAL PROBABILITY DISTRIBUTION AND THE SCALEHEIGHT The vertical probability distribution of our sample is shown in Fig. 5.6. The lack of nearby stars is apparent in panel b) of this figure. For this reason and because our sample only consists of 19 objects, it is not sensible to fit equations to this histogram. However when lying the functions derived for the sdB stars (see Sect. 4.3 and Fig. 4.9) over the distribution of the HBB stars they seem to fit remarkably well. This implies that the HBB stars have a similar vertical distribution than the hotter sdBs. Unfortunately most of the Disk part is cut off. The Halo component seems to be a little steeper than that of the sdBs. It would therefore be desirable to identify more local HBBs and do a similar study as conducted in Chapter 4 on sdB stars. Here the abnormal atmospheric abundance patterns may be an advantage in order to distinguish HBB stars from B main sequence stars. 95 5. T HE K INEMATICS OF HBB STARS Figure 5.1: Histogram of the orbital velocities for all 20 stars of the sample. The values for ΘThick disk and σΘ (TD, Disk) have been taken from Ojha et al. (1994). Binsize is 30 km s−1 Figure 5.3: Bottlinger and Θ−W diagram of the velocities of the stars of our sample. As in Figure 5.2 a star denotes the LSR and a circle the Sun’s values. Figure 5.2: Toomre diagram (Θ versus velocity perpendicular to the galactic plane) of the stars of our sample. p The concentric dashed circles indicate vpec = Φ2 + W 2 + (Θ − ΘLSR )2 with values in km s−1 . The star indicates the position of the LSR in this diagram and the circle the according values for the Sun 96 5.4. The vertical probability distribution and the scaleheight Figure 5.4: The orbits of all 19 stars shown in meridional cut. Calculation time is 10 Gyr backwards in time. The crosses show the current position of the Sun and the triangles those of the stars. The orbit of the Sun is shown in the lower right panel for comparison. 97 5. T HE K INEMATICS OF HBB STARS Figure 5.5: Histograms showing the distribution of ecc and nze values for the 20 HBB stars Figure 5.6: Histogram of the z distance-statistics of the 19 stars of the HBB sample. a) shows a linear representation of the z-distribution of the stars, b) a logarithmic one. While the number of stars and the lack of stars at z ≤ 2 kpc do not allow us to properly fit equations to this distribution the similarity to the distribution of the sdB stars (see Fig. 4.9) as can be seen in panel b) in comparison to the functions fitted to the sdB sample. The dashed lines in the right panel show the exponential equations (linear in the logarithmic plot) fitted to the sdB data see Sect. 4.3, the full lines the double exponentials (These are the same equations as in Fig. 4.9.). The dot-dashed vertical lines denote the fitting intervals of the two double exponential functions. The binsize is 50 pc. 98 5.5. Discussion & conclusions 5.5 D ISCUSSION & CONCLUSIONS While the amount and quality of the available kinematic data of HBB stars is insufficient to make definite statements about their nature and origin, the newly obtained data of 13 stars does enable us to make some constraints. It seems that the overall HBB star distribution is rather similar to that of the sdB stars. Possibly the fraction of Halo objects is somewhat larger; however this impression can be caused by the fact, that the HBBs are mostly further away from us than the sdBs, and hence at higher z. A remarkable point is the lack of a “high velocity” halo component in the HBB sample which is so apparent in the sdB sample. The HBBs fill the part of the HB between the sdB and HBA stars. These two stellar types clearly have different histories, the HBAs seemingly all originating in the Galactic Halo and the sdB being found in all populations but predominantly in the (Thick) Disk. Therefore one may speculate that the intermediate HBB5 stars might be a mixture of both, i.e. the “HBA” Halo population and the “sdB” population overlapping in the HBB regime. This means that if the currently favoured close binary evolution scenario for the formation of sdB stars holds true some of the HBB stars may also have been formed this way, with the mass transfer ceasing somewhat earlier, leaving a HB star with a slightly more massive envelope. Others are then probably descendants of stars with similar properties than the predecessors of HBA stars. In order to settle this question the studies of sdB binarity should also be extended into the HBB. To conclude we feel that the HBB regime holds the answers to some of the important questions of the kinematics, population membership of stars of the blue HB. Because they are much more difficult to find and easier to be confused with main sequence stars they have been far less studied than the adjoining HBA and sdB stars. However our results show that because they are the junction between star types which are, while related in internal structure and evolutionary stage, of very different origin they probably hold some of the clues we still need to find to explain the differences in kinematic behaviour and population membership between HBA and sdB stars. ACKNOWLEDGEMENTS : Special thanks to Heinz Edelmann, who obtained and reduced the spectra of the HE-stars considered in this Chapter.This research project was supported in part by the Deutsche Forschungs Gemeinschaft (DFG) under grant Bo 779/21. For our research we made with pleasure use of the SIMBAD in Strasbourg. 5 This is certainly likely, because the definition of HBB stars is somewhat artificial and arbitrary and there is no reason that the stars just across the border are of completely different origin. It is based on the same distinction between A and B main sequence stars, i.e. at the temperature where He-lines appear if the star contains He in its atmosphere (which the HBB stars normally do not). The upper limit of the HBB stars is defined to be near the Newell gap (Newell & Graham 1976) at approximately 20 000 K. 99 5. T HE K INEMATICS OF HBB STARS 100 C HAPTER 6 D ISCUSSION OF THE RESULTS A BSTRACT: In this chapter we analyse our results in a larger and more general frame. The parts which have already been discussed in the previous chapters, are summarised. The first part deals with the trend in kinematics that has been found, and its implications for stellar evolution scenarios, and the second part is a discussion of the results found for the populations. In this section some more speculative topics are also addressed. 6.1 T HE KINEMATIC TREND REVISITED In Chapter 3 (published as Altmann & de Boer 2000) we have analysed the kinematics of horizontal branch stars from the RR-Lyrae regime to the sdB stars and found a clear trend in their kinematical behaviour. It was found that, while the majority of the RR-Lyraes are Halo objects, the RR Lyrae sample contains a significant Disk component as well. In contrast to that, all HBAs that we have analysed were found to be Halo stars. The sdBs, on the other hand, were all classified as Disk stars. How does this picture change with the discovery of Halo sdBs? The main point – the difference in kinematics between sdBs and the HBA stars – is certainly still valid as can be seen in Figs. 6.1 and 6.2. Considering the results of our study of the kinematics of sdB stars (Chapter 4) we find that the distribution of sdB stars among the Galactic populations is similar to that of other evolved low mass stars. This means that the processes leading to the formation of sdB stars are likely to be independent of factors like metallicity and, to a lesser extent, age and initial mass. In contrast to this the HBAs are only found in the Galactic Halo. Even if one takes into account that more metal-rich HBA stars may be missed due to selection effects (see Section 3.5), the number of known HBA stars in the solar vicinity (d < ∼ 0.5 kpc) is much larger than the number of Halo sdB stars (10 HBA versus 1 sdB star in our samples). In Figs. 6.3, 6.4, 6.5 the HBAs are clearly separated from the bulk of the sdBs, only the distribution of the “low velocity” halo sdBs overlaps with that of the HBAs. It is therefore very likely that the HBA stars represent an evolutionary stage of stars typically found in the Halo, i.e. metal-poor stars which might also have been slightly less massive than the progenitors of most sdBs. This implies that there is probably a difference in the formation scenarios leading to HBA and to sdB stars. • The sdB stars could be formed by rather “accidental” processes (described in more detail in Sect. 4.4.3), either by close binary evolution or the premature peel-off scenario suggested by D’Cruz et al. (1996). The dispute as to which scenario is responsible for the formation of most sdB stars, or whether both (or even additional theories) play a role is still going on. Both 101 6. D ISCUSSION OF THE RESULTS Figure 6.1: The kinematic trend of stars along the HB revisited. This figure is based on Fig. 3.3, with the new data (see Chapters 2, 4 and 5) added. The kinematic trend of stars along the field horizontal branch characterised by eccentricity, normalised z-extent and orbital velocity as plotted against effective temperature Teff and B − V . Upper row, panels a) and b): eccentricity (ecc); Middle row, panels c) and d): normalised z-extent (nze); Bottom row, panels e) and f): orbital velocity (Θ). The left side (panels a, c and e): versus Teff , showing the hotter part of the FHB. Right side (panel b, d and f): versus B − V , highlighting the cooler part. Filled symbols show the stars with Hipparcos data, open symbols the sdB and HBB stars from de Boer et al. (1997), Schmidt (1996) and Chapters 4 and 5. sdB/O stars are depicted by circles, HBBs by triangles and HBA by hexagons. The RR Lyraes are plotted as pentagons, the filling of the symbols is subdivided according to the stars’ metallicities (full: [Fe/H]< −1.6 dex, half full: −1.6 <[Fe/H]< −1.3 and −1.3 <[Fe/H]< −0.9 dex, open[F e/H] > −0.9 dex). 102 6.1. The kinematic trend revisited Figure 6.2: Histogram showing the distribution of Θ of all stars (see Chapters 3, 4 and 5). The binsize is 20 km s−1 . Figure 6.3: Bottlinger and Θ − W diagram of the velocities of the stars of our sample. As in Figure 6.4 the different symbols refer to the various star types, a star denotes the LSR and a circle the Sun’s values. Figure 6.4: Toomre diagram of all stars; circles are the sdB stars (see Chapter 4), hexagons the HBA stars (see Chapter 3) and triangles the HBB stars (see Chapters 3 and 5). The circle and the star denote p the Sun’s and the LSR position in the diagram. The concentric dashed circles indicate vpec = Φ2 + W 2 + (Θ − ΘLSR )2 with values in km s−1 . 103 6. D ISCUSSION OF THE RESULTS Figure 6.5: Diagram of Θ against total kinetic energy of all stars (sdB, HBB, HBA). Large open symbols mean the current values, the small filled symbols the median values. The meaning of the symbols is similar to that of the previous figure (Fig. 6.4). The parabolas show the velocity orthogonal to Θ. of these scenarios do not a priori require the stars to have a specific metallicity to form sdB stars1 - therefore both explain that sdB stars seem to be formed in all populations. Evidence has mounted recently that a large fraction of the sdB stars are indeed close binaries (Maxted et al. 2001, 2002; Morales-Rueda et al. 2002); in the most recent programs the turnout of close binary sdB stars was much lower than expected (Edelmann, Napiwotzki, priv. comm.), which would mean that close binary evolution can probably not account for all sdB stars. A small minority of sdB stars might also have formed through other evolutionary channels such as the underluminous and low mass sdB star HD 188112 (Heber, priv. comm.). • In contrast to this, the HBAs are probably formed in the “classical” way, i.e. through mass loss during the preceding RGB phase. The fraction of the H-envelope lost almost certainly depends on the initial metal content of the star, with metal-poor stars generally losing more of their envelope than their more metal-rich siblings. According to D’Cruz et al. (1996), metal-rich populations should also form HBB and sdB stars; this does not seem to be the case in metalrich globular clusters, all of which seem to have only red HBs (Harris 1996). For many clusters the photometric data in the compilation of Harris (1996) is rather old and may not be deep enough to separate sdB and main sequence stars in the faint part of the CMD. Indeed using new data, sdB stars have been found in several high metallicity globular clusters (see e.g. Rich et al. 1997) and also the very old open clusters NGC 6791 and (possibly) NGC 188 (Liebert et al. 1994). 1 The peel off theory does depend on metallicity, but this mostly affects the middle part of the HB which thins out at higher metal content; stars of the blue and red edges of the HB are formed predominantly independent of metallicity (D’Cruz et al. 1996). 104 6.2. The populations of the Milky Way The kinematic behaviour of the HBA and sdB stars can thus be explained by both the close binary scenario and the peel off theory. How do the HBB stars fit into this picture? Fig. 6.2 seems to indicate that they have a kinematic behaviour intermediate between that of sdB and HBA stars. Looking at the Toomre (Fig. 6.4) and Bottlinger diagrams (Fig. 6.3) one sees that the datapoints representing the HBBs overlap the distributions of both HBA and sdB stars. Along HBB stars there does not appear to be a trend in kinematics with temperature (see Fig. 6.1). This leads us to the speculation that stars with a similar history as the HBAs and as the sdB stars overlap the HBB regime rather than a smooth transformation from halo-like to disk-like kinematics. This is not unexpected; the discrimination between sdB, HBB and HBA stars is based on spectral features, temperatures, colours etc., i.e. atmospheric criteria and has as such nothing to do with the evolution of these stars, prior to becoming HB stars. Therefore one does not expect the kinematic behaviour of these stars to differ abruptly at the transition from one type to another. The lack of disk HBA stars is presumably caused by selection effects (see Chapter 3) – without these one would probably find a small disk component, which is also present in the distribution among the populations of the even cooler RR-Lyrae stars. To conclude our discussion about the kinematic trend and its origins we state the following main hypotheses: • The sdB stars have been formed by a process other than a normal strong stellar wind which stripped the stars of almost all of their original H-envelope. Possible mechanisms at work could be close binary evolution with mass transfer of premature departure of the RGB caused by abnormally strong stellar winds (The peel off scenario by D’Cruz et al. 1996). They are found in all populations, regardless of the initial metallicities, in number ratios more or less expected for the various Galactic components. • The adjoining HBB stars have more diverse histories: Some of them have been formed by similar mechanisms to the sdB stars, others – mainly those that are members of the Halo – form the hot end of single star HB formation. • The cooler HBA stars are predominantly Halo objects. Whether there really is a Disk component remains to be seen. These stars were probably formed the classical way, similar to RHBs and RR Lyrae stars, with the metal content of their main sequence predecessors being much lower than most of those forming RHB stars. 6.2 T HE POPULATIONS OF THE M ILKY WAY Many main points concerning our results for the Disk and Halo populations have been discussed in Chapters 3 and 4. Here we summarise the results and discuss the synthesis of the single findings described in the earlier parts. In order not to repeat too much, we keep the discussion on the Disk and Halo rather short and then discuss some aspects concerning the Bulge which has not been a subject of discussion until here, and conclude with a larger general discussion about relations between Galactic populations as far as possible in the context of our own results. 6.2.1 T HE T HIN AND T HICK D ISK Most of the stars of our sdB sample belong to the Disk. From the distances from the Galactic plane and the kinematics we conclude that the majority of the stars in our sample are members of the Thick Disk (see Chapter 4 for the discussion). We have, however, not found a method to unambiguously 105 6. D ISCUSSION OF THE RESULTS separate Thin and Thick Disk stars; it may well be that these two Disk components are not entirely kinematically discrete. There is probably a considerable overlap between their kinematics. Our current sample is not suited to consider the question of the kinematic separation of Thin and Thick Disk because of the selection effects discussed in Sect. 4.1.1.1. There are a number of stars in our sample with very tight, sun-like, orbits. We think that these are Thin Disk stars. In order to analyse the kinematics at low distances from the Galactic plane, i.e. where the Thin Disk dominates, we need a different sample with only nearby and low Galactic latitude stars. We would then expect to find a three slope distribution, such as Phleps et al. (2000) found in a study of the spatial distribution of M main sequence stars. In Chapter 4 we have attempted to constrain the strength of the Thin Disk component using a three component fit and we came to the conclusion that the Thin Disk component (in respect to Thick Disk and Halo) is weaker than what is found from most other studies (Table 6.1). The reason for this probably lies in the nature of the object of study, namely evolved stars in our case and mainly main sequence stars in the case of most other studies; the effects leading to this difference are discussed in detail in Sect. 4.3.6. On the other hand, we want to stress that our results are very uncertain in this point, because we do not have access to most of the Thin Disk part, and our results should thus be treated with great caution. Apart from the problems caused by the composition of our sample there are possibly also physical reasons preventing us from making a clean division between the Thin and Thick Disk. Each star in the Disk has a slightly different kinetic behaviour; some are kinematically somewhat warmer2 than others. In principle the stars of both Disk components are on similar orbits in the sense that they orbit around the Galactic centre in a plane. The difference between Thin and Thick Disk is the degree of deviation from perfect circular orbits. The latter stars have significant deviations from the circular orbit, both in and perpendicular to the plane. But as each star has slightly different kinematics, this means that these two components show an overlap in kinematical behaviour; there could be stars with similar orbits and kinematics but with some belonging to the Thick and others belonging to the Thin Disk. To really separate the two Disks by kinematics, one needs a sample which is complete to the Galactic plane (or at least to small z). Then one would expect to see two distributions in a Θ histogram and also a third slope in the z probability distribution. Another item that needs to be discussed is the shape of the disk. In Chapter 4 and de Boer et al. (1997a) we have fitted exponentials to our data, assuming that the Disk is exponential. An exponential disk is unphysical because at Z = 0 kpc the two exponentials meet and the whole distribution is not continuously differentiable at this point. The Z-probability distribution of a disk-like orbit shows a “horned” structure (see Fig. 3 of de Boer et al. 1997a), i.e. the star is more often further away from the plane than near to it. Therefore the vertical density distribution becomes less steep near the plane. van der Kruit & Searle (1981, 1982) proposed that an isothermal disk with a sech2 distribution is more appropriate. They found that this distribution agrees well with the measured light profile of external edge-on galaxies. Wainscoat et al. (1989) found the light distribution of a edge-on galaxy observed in the near infrared is fit by a near-exponential rather than by an isothermal disk. van der Kruit (1988) found that neither the sech2 nor the exponential distribution agree well with the observations, but a sech distribution, which is intermediate to the two other slopes, does. The sech function approximates an exponential if the argument becomes significantly larger than 1, i.e. in our case when the z-distance becomes larger than the scale height, it is safe to use an exponential distribution. The fit conducted in Chapter 4 started at approximately one scale height and ended at about four scale heights. Therefore the use of an exponential function to fit to the data is justified. Because we do not have access to 2 are on more elliptical orbits, with velocities deviating more from those of the LSR. 106 6.2. The populations of the Milky Way the part where the two distributions deviate most, we use the simpler exponential. An exponential characterisation of the Disk makes comparisons with other studies easier, because most of them also only assume an exponential Disk. The values other studies found for the scale height of the Thick Disk and the density ratio of the two Disk components are shown in Table 6.1. The studies whose results are presented in this table all rely on star counts, mostly on general star counts not based on one particular stellar type. An exception to this is the work by Phleps et al. (2000) who used M-type main sequence stars as tracers. Our value of 0.9 kpc lies somewhere in the middle of the range. The wide spread in the values for scale height and density ratio are caused by a degeneracy between these two quantities. Most of these spatial studies rely on a very small number of data points, to which a linear equation is fitted. The leverage of this fit is rather small, which means that the slope/zero value combinations are not very constrained. This effect can clearly be seen in Table 6.1, because large scale heights have small z = 0 density ratios and vice versa. In some cases the authors only published a range of possible values with the lower scale heights corresponding to higher densities and vice versa. While our results also suffer from this effect (as can be seen in Table 4.3) we expect our values to be much less affected. The reason for this is that we have far more points to support the fit3 , and our distribution extends further out than that of most (if not all) studies. Finally we summarise our main results for the Disk: • the vast majority of the sdB stars of our sample belong to the Disk, probably mostly to the Thick Disk. • we did not find a method to distinguish Thin and Thick Disk stars unambiguously; it is quite probable that there is some kinematic overlap between the two Disk components. • the scale height of the Thick Disk is 0.9 kpc. This value is rather similar to the results of other studies. Note that there is a large spread in values for the scale height in the literature. • the initial density of a possible Thin Disk component in respect to that of the Thick Disk is smaller than usually found for the Thick/Thin Disk density ratio. This is possibly caused by the choice of an evolved star type as tracer rather than main sequence stars. The result for the Thin/Thick Disk density ratio is unfortunately very unsure. The implications of our results for Galaxy formation scenarios will be discussed in Sect. 6.2.5. 6.2.2 T HE H ALO A significant number of the stars we studied belong to the Galactic Halo, namely 16 sdB stars, all 14 HBAs and a large fraction of the HBB stars4 . The stars belonging to this group feature orbits typically associated with the Halo, i.e. high eccentricities, in many cases reaching to large distances from the Galactic plane, sometimes retrograde orbits and mostly low orbital velocities. There is however a group of sdB stars, which currently have very high orbital velocities. The mean orbital velocity of the HBA stars is +17 km s−1 (see Chapter 4), that of the low velocity Halo component of our sdB sample is +30 km s−1 (Table 4.2); if one takes the average of both values, Θ is +22 km s−1 . For the HBB sample a positive Θ is also more likely. The more metal poor samples ([Fe/H]< −0.9 dex) 3 This does not mean more independent data. Due to the less accurate kinematics and resulting difficulties in unambiguously assigning these objects to the populations, we do not consider the HBBs in the following discussion. 4 107 6. D ISCUSSION OF THE RESULTS Table 6.1: Compendium of published scale heights (z0 ) and initial densities (N0 ) for Thin Disk, Thick Disk and Halo. N0 of the Thin Disk is always set to 100% if applicable. The table is ordered alphabetical by author rather than chronological because some of the studies cited here are parts of series, and present refinements and sample enlargements of the earlier studies or the same method used on different fields. Because the Halo does not follow an exponential density law, there are only a few published scaleheights. This list is not intended to be complete. Those studies relying on “all available stars” in a star field use galactic distribution and stellar evolution models etc. to derive the scale heights and densities. Source (Old) Thin Disk Thick Disk Halo Star Type & remarks N0 z0 N0 z0 N0 z0 [%] [kpc] [%] [kpc] [%] [kpc] Amrose & Mckay 2001 — — — 1.8±0.5 — — RR Lyr Bahcall & Soneira 1984 100 0.25-0.35 0.0 N.A. 0.15 — all av. stars in SA51/68 Buser et al. 1998 100 0.29±0.05 5.4±1.5 1.15±0.15 0.05±0.03 — all av. stars in 14 fields Buser et al. 1999 100 0.29±0.05 5.9±3 0.91 ± 0.3 — — all av. stars in 7 fields Chen 1996 — — — 1.17 — — all av. stars in 2 square degr. field + proper motions Chen 1997 100 0.34 2.0 1.3 — — all av. stars in SA57/M3, reduced proper motion Chen et al. 2001 100 0.33 6.5-13 0.58-0.75 0.125 — all av. stars in 279 square degrees, SDSS Chiba & Yoshii 1997 — — — ∼ 1.0 — — Hipparcos RR Lyr & metal-poor RGB Gilmore & Reid 1983 — 0.30 — 1.45 — — all av. stars in SGP field Gilmore 1984 100 — 2.0 1.3 — — reanalyses results from other publications Kuijken & Gilmore 1989 100 — 4.0 1.0 — — FV and KIII stars Reid & Majewski 1993 — — — 1.3 — — all av. stars in a field Haywood et al. 1997 100 — 5.9 0.76 0.11 — all av. stars in SGP/NGP Kerber et al. 2001 100 — 4-8 0.8-1.2 0.2 3-4.5 all av. stars in a HST field Mendez & Guzman 1998 100 0.25 2-6 0.75-1.3 — — all av. stars in & near HDF Morrison et al. 1990 — — — 1.4 ± 0.7 — — G&K giants Ng et al. 1997a 460/100/39 0.1/0.25/0.5 5.3 1.0±0.1 0.4 — all av. stars in SGP/NGP Ojha et al. 1996 100 — 6.1 0.76 — — all av. stars in 3 fields + proper motions Ojha et al. 1999 100 — 6.1 0.79 — — all av. stars in 2 fields + proper motions Phleps et al. 2000 100 0.28-0.36 2-8 1.0-1.5 — — M-type dwarfs Reylé & Robin 2001 100 — 6.2 0.8 ± 0.2 — — all av. stars in several field, own & literature data Robin et al. 1996 100 — 5.6 0.76±0.05 — — all av. stars in 4 fields + literature data Spagna et al. 1996 100 0.259±12 4.3 1.137±0.061 — — all av. stars in NGP (20 square degrees) von Hippel & Bothun 1993 — 0.29-0.33 — 0.86-0.95 — ≥4 mainly F&G stars, Stroemgren photom. et al. (1997) have found evidence for four disk populations, the young, intermediate and old (thin) Disk and the thick disk a :Ng 108 6.2. The populations of the Milky Way of the RR Lyrae stars (Chapter 3) show positive values for Θ as well; they are however probably contaminated by members of the Metal Weak Thick Disk (MWTD) (see Sect. 3.4.2). The dispersion of the orbital velocity is rather low with about 55 km s−1 for both the HBA and sdB Halo samples. The values for σΦ and σW are for subsamples much higher, at values of 100 - 150 km s−1 . Looking at the velocity dispersions in the literature, one finds a strong spread in the values. Here probably outliers and selection criteria play a strong role (see also Ryan & Norris 1993). Another striking point is, that all Halo subsamples or subsamples containing a large number of Halo stars have a negative Φ (see Tables 3.3, 4.2). The single exception is the “high velocity Halo” subsample of sdB stars. The HBB stars show a similar trend to the other samples as the low metallicity RR Lyrae samples. This phenomenon, which is also seen in stars of the Thick Disk (with the opposite sign) will be discussed in Sect. 6.2.3.2. In W direction we do not see a clear tendency, neither for the Disk nor for the Halo. The positive Θ for our Halo samples imply that the Galactic Halo is indeed slowly rotating in a prograde manner. Many other studies also find slightly prograde rotation velocities, e.g. Martin & Morrison (1998), Layden et al. (1996), Chiba & Yoshii (1998), Chiba & Beers (2000), Carney et al. (1996) and Norris (1986). In some of these studies the positive rotation is very slight. Other studies came to a negative result for ΘHalo . Among these are Reid (1990), Allen et al. (1991) and Majewski (1992). A retrograde rotation of the Halo poses strong objections against all Galaxy formation models which imply that the Disk formed out of the Halo. Studies of the kinematics of the whole Halo globular cluster system show that it rotates in a prograde manner, however it can be split into a prograde “old” part and a retrograde “younger” part (Majewski 1993). Thus the Halo possibly consists of more than one part, with different evolutionary histories. Studies of field stars selected by metallicity can suffer from contamination from MWTD stars, i.e. metal poor stars with disk-like kinematics. As said before, our sdB Halo sample falls into two groups, namely a low velocity part, which has similar kinematics to our HBA stars and many other Halo objects, and a high velocity component, whose stars have orbital velocities far higher than that of the LSR (see Fig. 4.7). However, from a purely kinematic point of view there is no difference between the two Halo components (see Fig. 4.7, upper right panel and Fig. 4.8), because looking at mean or median values (i.e. when each star is in the same phase of its orbit), one cannot distinguish between the low and high velocity Halo stars. These two subgroups merely represent one group of stars on similar orbits which are currently in different phases, i.e. some are near their peri- and some near their apogalacticon and some in between. Because it is most probable to find a star when it is near one of the turning points (apogalacticon or perigalacticon) we see this bimodal distribution. One might speculate that there is, in spite of this kinematic similarity, a difference between the two groups. Most of the high velocity stars travel to distances very far from the Sun or the Galactic centre. Moreover, two of them have rather similar kinematic parameters - they might be part of a moving group (In Sect. 6.2.4 this is discussed in detail). It may well be that all or most of these stars are remnants from minor merging events in the past; at present we do not have any proof for this hypothesis, apart from the two stars with similar kinematics. The high velocity Halo was only found in the sdB sample. Apart from one or two of the RR Lyraes we did not find other HB stars with such extreme kinematics. This raises the question, whether another effect, such as large amplitude radial velocity variations in close binaries (and a large fraction of the sdBs are close binaries), influences our measurement in such a way that these stars mimic high velocity Halo stars? We think that this is not the case: in many cases the extreme kinematics are caused by a large proper motion rather than the radial velocity or both. PG 1519+640 has both a Tycho2 proper motion and a measured systemic radial velocity. But, are there other stars, apart from our sdBs, with kinematics this extreme? One example is the famous Barnard’s star, which has a Θ of 367 km s−1 and an angular momentum of 3000 kpc km s−1 . Its apogalactic distance is 36 kpc. 109 6. D ISCUSSION OF THE RESULTS Chiba & Beers (2000) found some Halo stars with very large total velocities, almost up to the local escape velocity5 at ∼ 500 − 550 km s−1 (Carney et al. 1988). Therefore we conclude that the high velocity Halo indeed exists, which means that there are stars in the solar vicinity travelling to very large distances. As stated before we can presently not say without doubt, whether there is really a difference between the high and low velocity Halo based on the history of the Milky Way. Finally some comments on the issue as to whether the Halo is disjunct from the Disk: strong evidence in the kinematical analysis comes from the distribution of eccentricities shown in Fig. 4.6, which has a region between ecc=0.5 and 0.7 which is clearly underpopulated. The analysis of the probability distribution vertical to the Galactic plane shows clearly that our sample of sdB stars belong to two distinct Galactic components: Disk and Halo. To conclude this discussion, we summarise our main results for the Halo component: • we found the sdB Halo population. • a little more than half of the Halo sdB stars of our sample belongs to a group with low orbital velocities similar to our HBA Halo stars, the remainder have high velocities and venture to very large distances from the inner Galaxy, similar to Barnard’s star. Whether there is a difference in origin between these two groups is unclear. Two of the high velocity stars have very similar orbits (see Sect. 6.2.4). • the Halo (i.e. low velocity sdB and HBA stars) rotates in a prograde manner with a net rotational velocity of ∼ +20 km s−1 . The same tendency is also present for the HBB and RR Lyrae stars. For most of these samples we find a negative value for Φ, while Thick Disk samples generally show a positive tendency (see also Sect. 6.2.3.2). • the density ratio of Halo to Disk sdB stars extrapolated to the Galactic plane is ∼ 1 %, which is in the same order of magnitude as found in other studies. • Halo and Disk are disjunct. 6.2.3 B ULGE AND BAR As stated in the introduction, the present study does not reach into the Bulge region6 the implications our results have for our understanding of the Bulge and a possible Galactic Bar are small. The term “Bulge population” is somewhat problematic because it is very likely (but not absolutely sure) that the Bulge is a distinct entity. It is not often regarded as the inner part of the Halo or one of the Disk populations (for a discussion see Minniti 1996). Furthermore, there are only very few and small observational “windows” with relatively low interstellar extinction where the stellar content of the inner part of the galaxy and hence the Bulge can be studied. It means that relatively little is known about the characteristics (kinematics, metallicity etc.) of the Bulge. There are however a few things which can be said when comparing our findings with what has been published about HB stars in the Bulge region. A few of their stars had even vt ot > 550 km s−1 , however they discarded these as untrustworthy; our maximal vt ot is ∼480 km s−1 . 6 Bulge region; means the region where the Bulge is the dominant population, i.e. the inner few kpc of the Galaxy. This stands in contrast to the Bulge population which means a group of stars having more or less similar properties and generic history. It means that stars belonging to one of the other populations could be currently located in the Bulge region without being a member of the Bulge population. This discrimination is especially important for the Bulge since all other populations are present in the inner region as well. 5 110 6.2. The populations of the Milky Way Figure 6.6: Plots of the parameters of the stars of the sample of Peterson et al. (2001). upper left panel: histogram of the vlos distribution: Note the peak at 100 km s−1 and the broad distribution centred at 0 km s−1 . upper right: vrad against metallicity: Here a slight concentration can be seen at [Fe/H]=−1.5 dex and vrad = 100 km s−1 . Most values for the metallicity are low. lower left: distance against radial velocity: Again a very subtle concentration of data points can be seen near vrad = 100 km s−1 . lower right: distance against [Fe/H]. Please note that this sample contains some of the stars Peterson et al. (2001) discarded as RR Lyrae stars. All data used for this figure are taken from Peterson et al. (2001). 111 6. D ISCUSSION OF THE RESULTS 6.2.3.1 BHB STARS IN THE G ALACTIC B ULGE – OR DO THEY BELONG TO THE H ALO ? Recently Peterson et al. (2001) published the first part of a study dealing with hot HB stars in the Bulge region. They have analysed a sample of 48 hot stars in a window of 1.3◦ × 1.3◦ located at l = 3.3◦ , b = 6.7◦ or in 2000.0 coordinates centred on α = 18h 05m 17s , δ = −35◦ 100 5100 . Out of these some were found to be A type main sequence stars, others possibly RR Lyraes7 which were then sorted out. They final sample consists of 23 stars, 14 of which they claim to probably belong to the Bulge. The kinematics show a small to negligible net vlos (≡ vrad ) velocity and a rather large dispersion of σlos =100 km s−1 . The stars are mostly metal-poor, there are however a few with near solar metallicity (see Figure 6.6, upper panels). Compared to what is known about the Bulge, σlos is rather too high (usually measured to be about 60 km s−1 at the same angular distance from the Galactic centre, see Minniti 1996) and the bulk of the [Fe/H] values is too low for the majority of these stars to be part of this population. However, they may very well be Halo stars. The Halo does extend right to the Galactic centre, and its density is highest in the inner part of the galaxy8 . As we have seen in Chapter 3, many of the local halo stars venture to very small (in some cases extremely small) distances to the Galactic centre. This means that some of them would at some times show up in the space observed by Peterson et al. (2001), and some of the stars currently in Peterson’s sample may well travel into the solar neighbourhood. Unfortunately (but understandably) there are no proper motions currently available for any of the stars of Peterson et al. (2001), so we have no access to the full kinematics, which would have made the discussion much easier. Given these arguments and the kinetic and astrophysical properties of most stars not fitting to the Bulge, a membership of the Halo for the majority is more than likely. Nevertheless there may be a few, particularly the more metal-rich, objects which could be part of the Bulge population also indicated by the relatively low vlos of some of these objects. It is possible that the situation is similar to that of the K-giants analysed by Minniti (1996) who found that the more metal-rich stars show significant net vlos and a relatively small dispersion while stars with [Fe/H]< −1.5 dex show only small mean vlos but a large dispersion. Minniti (1996) interprets the two groups as part of the Halo (metal-poor) and Bulge (metal-rich). To conclude, even if one considers the Bulge to be a separate component of the Galaxy (this discussion is beyond the scope of this work, see Minniti 1996; Binney & Merrifield 1998) it is very likely that the HBA stars found by Peterson et al. (2001) are part of the Halo population which then confirms our results for the HBA kinematics as described in Chapter 3. However, once again a word of warning cannot be avoided: the metal-rich HBA stars found by Peterson et al. (2001) indicate that these might also exist in the solar neighbourhood, which might have been missed in the analysis conducted in Chapter 3. As can be seen in Figure 6.6 (upper left panel) there is a peak in the velocity distribution of the stars in the Peterson sample at ∼ 100 km s−1 which may indicate a moving group or a similar entity. This phenomenon is going to be discussed in Section 6.2.4. 6.2.3.2 D ISTURBANCE OF THE T HICK D ISK BY THE PRESENCE OF A G ALACTIC BAR ? Unlike V resp. Θ that are per definition of non-zero mean value for most stellar groups (except maybe the Halo), the mean values of U /Φ and W would be expected to be near zero for a stable homogeneous feature. W 6= 0 km s−1 would mean that the sample as such is moving away from the Galactic plane, 7 RR Lyraes venture when hottest, i.e. near maximum, well into spectral class A, overlapping in Teff with HBA stars. If the Halo density follows a power law e.g. ∝ r−3.5 , its density in the centre is several 1000× that of the solar neighbourhood. 8 112 6.2. The populations of the Milky Way i.e. a disk would bend. U /Φ 6= 0 km s−1 means that the stars are either moving inwards or outwards, the feature would be contracting or expanding. Moving groups and (in small samples) stars with extreme kinematics9 could of course be the cause of a net movement in a certain direction. To a certain extent this effect could be taken care of by omitting the objects with the lowest and highest velocity. If moving groups and extreme objects can be excluded, a non zero velocity could mean that there is a net movement indeed, such as denting or buckling of e.g. the Galactic Disk. In the early 1990’s it became clear, that the Milky Way has, like many other spiral galaxies, a bar (see e.g. Weinberg 1992), having a semimajor axis of about 5 kpc. Fux (2001) modelled the influences this bar could have on the local stellar populations and analysed the kinematics of samples taken from the Hipparcos catalogue. Roughly 15 % of the sample are older stars belonging to what Fux (2001) called “Hercules stream”. These stars have the asymmetric drift typical of the Thick Disk. Furthermore they feature a net movement in X of Φ = 35 km s−1 . Theoretical modelling by Fux (2001) suggests that this could possibly be caused by the presence of a bar. Our sdB sample (see Chapter 4) shows a similar tendency too, though very slight, at least when the whole sample is considered. In fact the net movement in W is even larger for our sample. Since our sample consists of a mixture of Halo, Thick and probably Thin Disk stars, we divided the sample into subsamples which are shown in Table. 4.2. The purest Thick Disk sample (see Table 4.2) shows the largest systematic Φ velocity of 22 km s−1 . This is in the the same direction as the Hercules group and is thus consistent with the theoretical results of Fux (2001). All halo samples show a similar tendency in Φ, though in the other direction. This applies to the low velocity halo sample of sdB stars, the HBB stars and the HBA stars. The more metal-poor subsamples of the RR Lyraes show the same trend. The implications of this effect, are not clear. The local Halo population seems to be generally moving outwards, away from the centre as if the Halo were inflating. As the Halo is probably not expanding, we suspect that there is some instability which causes the Halo to swing: in some areas, such as the solar neighbourhood, the net movement is outwards, the Halo is expanding, in other parts of the galaxy the net movement of the Halo stars is inwards, these parts of the Halo are contracting. The cause of this is unknown; one possibility could be interactions with satellites, whose tidal forces pull out the stars somewhat at the nearest and farthest points. Or one might speculate that an inhomogeneity, such as a spiral arm is the cause. It remains to be seen what really is behind the offset in Φ in the Halo. However the mean Φ and W velocities of many samples differ significantly from 0 km s−1 . This also applies e.g. to our W which has an even larger value for the whole sample than Φ and some of the subsamples (see Table 4.2). Martin & Morrison (1998) find a similar mean offset, but in the opposite direction, a value which is again very similar to the result for our Hipparcos BHB stars (see Chapter 3). The HBB stars of Chapter 5 have a negligible mean movement in W direction. Thus there are obviously effects at play which we do not really understand. Very basically, there could be a systematic error in distance determination, however this is rather unlikely. For example a systematically too low distance would result in too low velocity values; but the mean velocity of a sample would not change in most cases because both positive and negative values for one of the velocity components would become systematically too low causing little change for the mean value in most cases. Sample composition has been discussed by Martin & Morrison (1998) for their sample and they came to the conclusion that it does not play an important role. Another point could be that disturbances imposed at different times upon the stars of a group lead to different effects, and we probe these different groups with the different types of stars used for such studies. However a much larger sample than the current one is required to make definitive statements about net movements of 9 compared with the rest of the sample. 113 6. D ISCUSSION OF THE RESULTS Galactic components. Small samples might have too many outliers included, while a sample useful for this analysis should probably be at least as large as the one of Fux (2001). 6.2.4 M OVING GROUPS AND STELLAR STREAMS Moving groups and stellar streams are ensembles of stars moving in the same direction, which have a similar history or origin and are however not as compact as clusters or associations. There is a large range of varieties and forms of these groups. Stellar streams of young stars in the Disk have been known for a long time, such as the Sirius- and Pleiades stream (Eggen 1972) or Gould’s belt (Herschel 1847). More recently such aggregates have been discovered in the older populations of the Galaxy. Unlike their younger counterparts, which have left the gas cloud where they were born a relatively short time ago, or are the remainder of dissolving open star clusters, they were usually formed long after the stars themselves were born. The origins of these streams are usually dwarf galaxies such as the Sagittarius dwarf (Ibata et al. 1994) that were in interaction with the Milky Way or globular clusters (Odenkirchen et al. 2001). In both cases the stars are mostly lost by tidal forces occurring as they interact with the Galactic potential. The Sagittarius dwarf stellar stream should be traceable for a rather long time (Ibata et al. 2001; Helmi & White 1999). Thus finding such stellar streams of old stars can give us valuable information about the formation of the Galactic Halo or at least a part of the Halo. If there are many of these streams it would mean that the Milky Way suffered interactions with other, smaller galaxies on more than one occasion. Because of the diversity of these stellar entities it is difficult to define stellar streams and moving groups. In our context a moving group consists of a relatively small number of stars while a stellar stream is a larger and more massive ensemble of stars such as the Magellanic stream or the Sagittarius stream. A moving group can of course later turn out to be larger than originally thought. However we want to emphasise that the samples used in the present work are not ideally suited for this kind of investigation. First, they consist of a relatively rare stellar type, which means that there are not many of these stars in the candidate moving group. Second, the radial velocities and proper motions are mostly not good enough to achieve an accurate identification of (two) stars having so similar kinematics that they can be considered to be part of such a moving group. Therefore this discussion is rather meant to show peculiarities that hint at moving groups showing where one should start to investigate in order to confirm or discard the idea that these objects are part of such an entity. In Chapter 4 we have pointed out that there are two stars, namely HE 0516−2311 and HE 0521−3914, which have • a very extreme kinematic behaviour, seen in the value of Θ which is more than 400 km s−1 in both cases, • and rather similar kinematics, in the sense that they basically move in the same direction with a Θ of 408 and 468 km s−1 respectively. The distance between them is ∼700 pc, so that if they belong to a moving group it would have to be a large structure. Their trajectories over 50 Myr are shown in Figure 6.7 (for comparison that of the Sun is also shown). The orbits extend to a very large distance from the Galactic centre and the Sun, with apogalactic distances of 60 and 160 kpc. These values and also the differences between them are not significant, because we do not know what the Galactic potential looks like at such large distances (this also applies to the eccentricities). The nze values of both stars are rather small. Thus these stars travel through the Galaxy from an almost edge-on position. Apart from these two objects we have 114 -15 0 X [kpc] 5 10 -20 -15 Y [kpc] -10 -10 -5 -10 -5 Y [kpc] 0 10 o rotation: X: 60 -15 -5 5 0 5 X [kpc] -5 -10 X [kpc] Z: 135o -10 0 -15 10 Figure 6.7: 3D plots of the of the orbits of HE 0516-2311 (full line) & HE 0521-3914 (long dashed line), two stars with a rather similar and very extreme kinetic behaviour. Shown are the trajectories over 50 Myr and for comparison the trajectory of the Sun (short dashes). The rotations around the X and Z axis are noted above the induvidual plots. -10 -5 -15 0 0 0 5 5 -10 -10 Z: 315o HE 0516-2311 HE 0521-3914 Sun o rotation: X: 60 -15 -20 Y [kpc] 10 -10 -5 10 -5 -10 Y [kpc] -5 Z [kpc] -5 0 -5 rotation: X: 60o Z: 45o -5 -10 X [kpc] -15 0 Z [kpc] -10 -5 0 0 -20 5 5 5 10 10 Z: 225o Z [kpc] o Z [kpc] rotation: X: 60 6.2. The populations of the Milky Way 115 6. D ISCUSSION OF THE RESULTS several more in our sample (in principle those part of the “Outer or High Velocity Halo” in Chapter 4) which have high orbital velocities - though none of them that extreme - but their trajectories are very different from those of HE 0516−2311 and HE 0521−3914. Is there a real connection between these two stars? The reasons these stars were found to be peculiar are both the extreme and relatively similar kinematics. Stars with velocities similar to each other but having a disk-like kinematic behaviour would not be striking, because the kinematics of disk stars are similar anyway. The differences in the trajectories and also Θ can be ascribed to errors in distance, proper motion and radial velocity as well as the geometry (The stars are in the sky separated from each other by ∼20◦ ). The distance of HE 0516−2311 is somewhat more unsure than that of other stars, because we do not have CCD photometry for this object (see Section 2.3.2). However, these errors do not explain the extreme kinematics as a whole. To draw a line: We cannot prove that these stars are part of a moving group of stars or not. We therefore consider them as being possible candidates which have to be further investigated. Their motion through the Galaxy is however striking and certainly a piece of evidence that they are in fact members of some stellar aggregate moving through our Galaxy but with the current data it cannot be decided. More research is needed, on the one hand better data for the two stars themselves and an investigation of the surroundings to see whether there are any stellar density enhancements at a similar distance as these two stars are located at, i.e. ca. 2 kpc from the Sun. Analysing such moving groups can give us clues how the outer Halo was build up; the other members of our High Velocity Halo are possibly also remainders of some stellar group having been assimilated by the Milky Way. Surprisingly there is another (just as weak) piece of evidence for a stellar stream or moving group in the inner part of the Galaxy – at a place where it would not be suspected, because it would probably not survive long in a very dense environment, which would disrupt such a stream rather quickly. As has been mentioned in the previous section and can be seen in Figure 6.6 (upper left panel) there is a peak in the velocity distribution of the stars in the Peterson sample. There also seems to be an overdensity of stars with [Fe/H]=−1.5 dex at the velocity range of about 100 km s−1 (Figure 6.6 upper right). This can also be seen, although far less clearly, in the lower left panel of Figure 6.6 at vrad =100 km s−1 , while the fourth panel does not seem to show anything of this kind. This again raises the question whether some of the stars found in this part of the parameter space, i.e. having a vrad =100 km s−1 , [Fe/H]=−1.5 dex and a distance from the Sun of 7-9 kpc have a common history. However, the number of objects is again very small, around five, and can therefore also be described by a statistical fluctuation. Therefore such overdensities should be considered to be a mere hint and by no means to be confirmations that such groups exist, something that may deserve a closer look. Are these stars maybe the remainder of a merger torn apart by tidal forces and interactions with objects in the Milky Way? If this is true, this group of stars has not been moving so close to the Galactic centre very often, otherwise it would have been disrupted. It would be very worthwhile to further follow these hints, because finding groups with common motion will give us important insight into how the Galaxy and thus any spiral galaxy is formed. More observations, especially considering more numerous stars (main sequence), have to be conducted in both cases to strengthen these points which are at the moment mere hints. 6.2.5 R ELATIONSHIPS OF THE COMPONENTS , EVOLUTION OF OUR G ALAXY Our studies using stars of the blue and extreme HB came to the results discussed in Sect. 6.2.1 for the Disk and Sect. 6.2.2 for the Halo. Furthermore we discussed some implications for the inner regions (Sect. 6.2.3) and possible stellar streams (Sect. 6.2.4). We still need to consider the consequences for 116 6.2. The populations of the Milky Way various models of Galaxy formation. The classical theory for the formation of the Galaxy is the ELS scenario of rapid collapse and subsequent spin up to the formation of a Disk as suggested by Eggen et al. (1962) (ELS). Because of the difficulties for the ELS scenario to explain certain phenomena, such as the lack of a radial abundance gradient for the outer globular clusters, Searle & Zinn (1978) added a second phase of collapse to the ELS theory. In the outer regions of the protogalaxy the gas was according to the Searle & Zinn (1978) (SZ) scenario far more inhomogeneous than in the inner part. It was organised in clumps, which continued to rain onto the Galactic centre for quite a large timespan after the initial ELS like collapse. Other models describing the formation of the Galaxy regard other – smaller – galaxies as important agents. Merger processes are responsible for building up the Halo, creating the Thick Disk etc, such as described in Quinn et al. (1993). All of these models have been enhanced and supplemented over the years. Majewski (1993) has compiled and reviewed eight of the more widespread theories (see his Table 1) for the formation of the Thick Disk. He distinguishes between “top down” and “bottom up” models depending on what formed first, Thin or Thick Disk. According to our results, the Disk is disjoint from the Halo. This speaks against all models requiring a continuous transition between Halo and Disk. Among these are the model by Sandage (1990), which describes the formation of the Galaxy by continuous star formation during the collapse with the Thick Disk being the part with beginning pressure support. Another model with a Disk Halo continuum is the model by van der Kruit & Searle (1981) and Gilmore & Reid (1983) that describes the Thick Disk as the Halo response to the disk potential. All other models in Majewski’s list pass this test; one, regarding the Thick Disk as the debris of an accreted dwarf galaxy does not depend on the Halo being disjunct or not. A more stringent test on the models is the discreteness of the two Disk components. Unfortunately our results do not give us an answer in this matter. Taking into account other results such as those from Phleps et al. (2000) or Gilmore & Reid (1983), we consider the two Disks as being separate entities rather than a continuous structure. This then rules out all of the “top down” models except the “disk first” scenario (Jones & Wyse 1983) which suggests a disconnected formation of Disk and Halo. Also challenged is a “bottom up” model which regards the Thick Disk to be formed by the diffusion of Thin Disk orbits (Norris 1987). Adding these two constraints, namely the disjunctness of Halo and Disk and the discreteness of the two Disk components, only two models (both are “bottom up” scenarios) survive – both connected with the interaction of the Galaxy and hence its Disk with another (smaller) galaxy. The first is the model which constructs the Thick Disk from the remains of the intruder; in the second (see e.g. Quinn et al. 1993) the Thick Disk is formed by the heated Thin Disk. The gas, which is also disturbed, later relaxates and forms a new Thin Disk, the one that we have at present. Especially in the latter scenario a large part of the dissolved intruding dwarf galaxy must have been incorporated into the Halo. Can we observe such remains, even if the event happened in the distant past? The simulations of Helmi & White (1999) show that the remnants of a dwarf galaxy would still be detectable as stellar streams with approximately common motion even if the event happened several Gyr ago. It is therefore very important to find such streams which would supply us with strong evidence for a merger scenario. While this study presented here was not intended to search for moving groups we have found some vague clues to their existence (see Sect. 6.2.4). However these are far too vague to really make a statement in this respect. It is known that our Galaxy has swallowed (and does so even today) other galaxies, e.g. the Sagittarius dwarf spheroidal which is in the process of being incorporated by the Milky Way. For this reason we think that at least a part of the Galactic Halo 117 6. D ISCUSSION OF THE RESULTS originates from interactions of the Galaxy with satellite dwarf galaxies. But is the Halo completely formed by remnants of galaxies? Many Halo stars have highly eccentric orbits taking them very close to the Galactic centre. This implies that at least a part of the Halo was formed by some kind of collapse scenario, because, if the Halo was completely assembled from infalling dwarf galaxies it would be hard to believe that most of them hit the Galactic centre with no offset. If a dwarf galaxy etc. falls onto the Galaxy it has a velocity of its own, apart from the attraction by the Galaxy’s gravitational potential which will cause the satellite to “miss” the Galactic centre and start orbiting the centre on an elliptical orbit. This orbit will – in most cases – not take the object very near to the Galactic centre. Therefore we presume that the stars having free fall orbits originate from the initial collapse. This initial collapse must have occurred in the early phases of the history of our Galaxy because the gas must somehow have settled into a disk as we observe it today. Other Halo stars, such as those having a high inclination and a moderate eccentricity, e.g. HD 117880 or HE 0136−2758 may well be remnants of early mergers. The same applies to at least some of the “high velocity” Halo stars. We suggest that the Halo was partly formed due to the initial collapse of the protogalactic cloud. Other parts have been accumulated thereafter, either by accretion of satellite galaxies or by infall of debris from a less inhomogeneous outer cloud, like Searle & Zinn (1978) described. In any case the Galaxy has been accreting dwarf galaxies until the present, the Sagittarius dwarf being the latest “victim”. The Disk was the endpoint of the collapse. For the reasons described above the Thick Disk does not seem to be the immediate predecessor of the Thin Disk but formed later due to interaction of the Disk with a (probably relatively massive) dwarf galaxy in a relatively early stage of the Galaxy (considering the ages of Thick Disk stars from Edvardsson et al. (1993) this event can not have taken place too long after the formation of the Halo). Whether the stars in the Thick Disk are the stars of the Disk which have just been stirred up or the event caused an onset of star formation in the disturbed gas, is unclear. The present Thin Disk then formed when the gas relaxed to form a thin and relatively dense gas disk, forming the stars we now find in the Thin and Old Thin Disk. 118 C HAPTER 7 O UTLOOK 7.1 F URTHER STEPS In the study presented here we have shown that EHB/BHB stars are a useful tool for studies of Galactic structure, and we finally identified the sdB Halo component. However this is just a beginning, and many more steps must be taken until we find out how the Galaxy really works and how it has been formed. The size of the samples should be increased and the accuracy of the measurements improved, leading us to a higher statistical relevance of our results and to better opportunities to separate the populations. A part of the efforts should be directed to the outer Halo. We need to find out how large the Halo is, how far it does extend. Another important aspect is the clumpiness of the Halo. The discussion in the previous chapter made clear that this issue is of utmost importance for our understanding of the early phases of our Galaxy. An important issue concerning sdB stars is their radial velocity, which in some cases turned out to be variable due to close binarity. Therefore more of these objects should be observed in order to determine their systemic radial velocity. As time advances, more and more regions of the sky which have have been observed with CCDs over a large time span will be available. In the same time the photographic plates such as the POSS and other surveys get older and older – increasing the time baseline for proper motion determinations. Adding new CCD data will within a few years will enable us to determine accurate proper motions using CCD data as first epoch data. Due to the higher resolution and better PSF characteristics (the PSF does not grow with object brightness, greater dynamic range etc.) of CCD data the time needed to wait until a significant proper motion can be determined is drastically shortened. It would be possible to measure an accurate proper motion within 5 years. Another important point is the systematic compilation of sdB stars in the solar vicinity. We have seen that we can not make any definite statement about the Thin Disk population of sdB stars with our current sample. This was not intended in the first place, the primary aim was to find the Halo sdB population. To include the Thin Disk we need a sample containing mostly nearby sdB stars and stars at low galactic latitudes (which presents us with difficulties like extinction or crowding etc. that did not play a significant role in our current moderate to high galactic latitude sample). A systematic search in the literature for all known bright sdB stars (in preparation for the DIVA satellite mission) has revealed that there are far more sdB stars in Hipparcos or Tycho 2 catalogues than previously thought. Apart from just studying sdB or HBA stars, one can conduct similar studies with other objects which 119 7. O UTLOOK have their own advantages. RR Lyraes have been a work horse for Galactic science for a long time. With the increasing availability of precise proper motions and radial velocities the kinematics of these objects certainly need to be re-analysed in a large sample. Such a study is currently underway (Maintz, priv. comm.). Another star types especially suited for studies in the solar surroundings are DA white dwarfs. They are numerous and are just as easily identified and analysed as sdB stars, but their major drawback is their faintness – therefore they would not be the ideal subject of studies of the outer Halo, but for studies of the Disk. Because of the importance in cosmology (double white dwarfs are considered to be SN Ia progenitors) a large spectral survey of white dwarfs has been started, the SPY survey (Koester et al. 2001). In the frame of this project, a study of the kinematics of white dwarfs is in progress and has already first results (Pauli et al. 2002). Finally there are other objects such as RGB stars which, while not being easy to access because of complicated spectra and overlaps in the CMD, are important because they are the immediate progenitors of HB stars. We still do not know definitely what effect drives the mass loss to be so different in stars as to form totally different HB stars in the same population. Analysing the Galactic distribution of RGB stars with different properties, e.g. CN strength, metallicity etc., would probably give us insight into this problem. Purely spatial studies could also be extended to other Galaxies, such as M 31, where the confusion of the different populations is presumably a little less severe, because we do not observe them from the inside. In the immediate vicinity of the Galaxy, attempts are already made to determine proper motions of dwarf galaxies (Mendez, priv. comm.). This would give us information about the motions of the complete Milky Way system including its satellites and may answer some of the questions concerning the formation of the outer Halo. The circle has been closed again. In the introduction the importance of galaxies at various distances has been described and the methods these are analysed; now we start to apply the methods we used on the most nearby galaxy, the Milky Way, on objects of the next further category to gain more information about a part of the local group. 7.2 T HE FUTURE : DIVA AND GAIA This section deals with probably the most important step for astrometry – satellite missions. The Hipparcos mission (ESA 1997, on which part of our work is based on) was a milestone being the first astrometric space mission leaving behind all the problems of earth based astrometry, such as the atmosphere, the Earth’s rotation. This project supplied us with proper motions mostly accurate to ∼ 1 − 1.5 mas/yr of 120,000 stars and accurate trigonometric parallaxes for thousands more. The add on Tycho catalogue was the base of a new determination of about 2.5 million proper motions published in the Tycho 2 catalogue (Høg et al. 2000) using ground based old catalogues as first epoch data. There are currently a number of satellite projects in the planning phase, which present – if they are indeed realised – a major step in the accuracy and number of available proper motions. They will furthermore increase the precision of distance measurements, with trigonometric parallaxes of unprecedented quality and quantity! The impact on Galactic science will be as big or even bigger than that of the Hipparcos mission in 1997. Concerning our sample this would mean, that we will have access to very precise proper motions for almost all our stars by 2010 and all stars to about 20 mag by 2020. Among these new (second generation) missions are the DIVA, GAIA and FAME satellites. 120 7.2. The future: DIVA and GAIA Figure 7.1: Conceptual study of the DIVA satellite (left). Image taken from the DIVA project’s homepage under URL.: http://www.ari.uni-heidelberg.de/diva/diva.html Figure 7.2: Conceptual study of the GAIA mission (right). Image adapted from pictures taken from the ESA’s GAIA homepage under URL.: http://astro.estec.esa.nl/GAIA/ The FAME1 (Full sky Astrometric Mapping Explorer) survey was supposed to measure very accurate (0.05-0.5 mas/yr) proper motions parallaxes and magnitudes of 40 million stars. Unfortunately, this mission ran into severe financial difficulties, when a large part of its funding was cancelled: It will probably not be realised. DIVA2 (Dual Instrument for Visual Astrometry) is a low budget successor of Hipparcos (Budget ∼ EUR 50 million (!)). It will measure proper motions and parallaxes of about 40 million stars brighter than 16 mag with an accuracy of ∼ 0.25 mas/yr. Additionally, there will be accurate photometry and a crude spectral classification system, using dispersed images. Probably this mission will contribute significantly to solving some of the most important problems concerning the cosmic distance ladder, such as the distances of δ Cep stars and RR Lyraes – something Hipparcos only partly managed to achieve. DIVA is supposed to be launched in 2006, the data should be published in 2010. This mission has already been postponed for one year3 and is under heavy financial pressure. At present the future of DIVA is unsure. Even further in the future, ESA will probably fund GAIA4 (Global Astrometric Interferometer for Astrophysics), by far the most ambitious project. It will map all stars brighter than 20 mag (approximately 109 ) and measure proper motions with an error of down to 3µas, perform photometry on all stars, and measure radial velocities for a brighter subset with an accuracy of 1 to 10 km s−1 . This will give us the opportunity to conduct a similar study as the present one using a large percentage of the stars in the Galaxy. GAIA will also allow us to measure significant proper motions for virtually every galaxy in the local group. Launch date is about 2012, the data will probably be available in 2017 or 2018. 1 for further information, see: http://www.usno.navy.mil/FAME/ more information can be found at: http://www.ari.uni-heidelberg.de/diva/ 3 original launch data was late 2004/early 2005. 4 see also: http://astro.estec.esa.nl/GAIA/ 2 121 7. O UTLOOK Another mission, primarily focusing on extrasolar planets is the SIM5 (Space Interferometry Mission, 2009) interferometric mission. This project will also obtain very accurate astrometry for stars up to 20 mag, however only on somewhat more than 20,000 specially selected stars. Every one of these missions, if successful, will provide us with a huge amount of extremely accurate astrometric data. This would enable us to make studies similar to this one using samples of hundreds or even thousands of objects. Many things that we could only vaguely determine would be easily achieved in the future. We would finally be able to solve many of the remaining questions about the structure and evolution of our Galaxy. We would know how the Halo formed, or whether the Disk components are discrete or not, how many moving groups exist, and solve many other important questions. There is just one big difficulty: one mission (FAME) is de facto cancelled, DIVA is in serious financial difficulties, and the financing of the other two is also far from certain. If all goes wrong, we might end up with nothing. Therefore we can only hope that at least one of them finally gets approved and successfully completed and that not all fall victim to political and financial decisions. We have seen what can be achieved with medium accuracy data of about 100 stars, namely the results presented here. Therefore the thought, of what can be reached, when using the data of one of these advanced space missions, is really tempting. They just have to be approved and financed by the national and international science funding organisations and then completed successfully. 7.3 E PILOGUE Apart from the scientific discussion, which was accomplished in Chapters 1 to 7 of this work, it is becoming ever more important to invest in public outreach (especially if one wants the public to pay expensive space missions). For this reason I conclude with a picture (Fig. 7.3) showing some of the orbits of the stars we examined superimposed on an edge-on galaxy similar to our own (NGC 4565). It shows us how our stars orbit around our Galaxy, and how far they travel from the Galactic plane and centre. MPEG movie files of the orbits can be downloaded under the URL: http://www.astro.uni-bonn.de/maltmann/index.shtml. Images of astronomical objects, such as galaxies, nebula, star clusters etc. (including most of those displayed in Chapter 1) can be found under the following link: http://www.astro.uni-bonn.de/maltmann/gallery.html. 5 see: http://planetquest.jpl.nasa.gov/SIM/sim index.html 122 7.3. Epilogue Figure 7.3: Orbits of Thick Disk and Halo sdB stars superimposed on NGC 4565, which is an edgeon galaxy probably quite similar to our galaxy. Note, that the scale of the orbits does probably not accurately match the scale of the galaxy, it is just an approximation, showing the principle. 123 7. O UTLOOK 124 A PPENDIX A C ORRECTING LARGE GRADIENTS WITH COMBINED DAWN / NIGHT SKY FLAT FIELD EXPOSURES The flat field correction of the DFOSC exposures presented us with problems: the large scale gradients in the raw images could not be compensated with twilight flats – they were even worse than without the flatfielding. Furthermore, the morning and evening flatfield exposures differed significantly. Dividing a morning flat by an evening flat left a residual gradient of 4-5% (in some cases this gradient was even as large as 10%). This resulted in a residual gradient in the object frames of about 2%. Therefore we decided to utilise an alternative method which is briefly described here. The classical way of doing a flatfield correction is using a sky flatfield exposure usually taken during dawn or dusk before/after the night of observing. In stable optical systems, flats may be used from different nights1 . Less suited are “dome flats” taken against an screen in the dome, because these screens are mostly not sufficiently homogeneously illuminated. Buil (1989) describes a method of constructing a flat derived from the night time object exposures by eliminating all stars with medianised adding up the individual object frames. With this method the large scale structures in the flat field are represented correctly. On the down side, the S/N ratio is low, so the small scale features (which are mostly rather subtle) are only corrected inaccurately and a lot of unwanted noise is brought onto the corrected data image. The method only works, if there are a sufficient number of frames with a high sky background (several 100 ADU on average), i.e. long exposure frames. Frames with a low sky background are not suitable – any residual bias gradients left on the flatfield (even if the amplitude is less than 1 ADU) will influence the large scale gradients by a large degree – let alone the very bad S/R ratio. A flatfield exposure contains several kinds of information: there are large scale gradients, caused by vignetting which is to some degree present in nearly every optical system, especially in focal reducers (as in our case) or dust/dirt on optical surfaces far away from the focal plane, others are small scale variations, such as pixel to pixel efficiency variation, dust specs on the chip, or the mechanical chip structure. Unwanted information includes bad pixels (can be taken care of using bad pixel algorithms) and statistical noise. Some exposures (especially in I band) show a fringing pattern which is difficult to correct; however, our data does not suffer from this effect. To keep the additional noise introduced to the corrected image small, one needs to get flat exposures with a S/N ratio which is as high as possible. 1 provided no manipulation was done to the system, e.g. removal and replacement of the dewar, or filter wheels etc., because this would invalidate all previously taken flat field exposures for the next night. 125 A. C ORRECTING LARGE GRADIENTS WITH COMBINED DAWN / NIGHT SKY FLAT FIELD EXPOSURES Our data consists of high galactic latitude star fields. Therefore the long exposures are ideal for using them as flat fields. Unfortunately we do not have long B band exposures. Therefore we could not enhance the B flats. The problem is that we have the dawn flats, which correct the small scale structures accurately but not the large gradients and we have night flats which eliminate the gradients, but add a lot of noise to the corrected image. Therefore we combined both keeping the advantages of each and discarding the bad points using a method we call Skin Transplantation2 which resembles an unsharp mask. First a masterflat3 is created from all available dawn flatfield exposures using flatcombine. The same is done for the object frames, using a clipping algorithm to discard the stars4 . Of the rejection algorithms available in the IRAF software package, pclip5 has proven to be the most effective for this type of problem. However, around the target star a residual structure remains. This is expected, since the telescope is normally pointed towards the coordinates of the target stars, which means that unless the pointing of the telescope is very bad, the target stars are near the same position on the frame. Therefore we patch this position by cutting this area out and interpolating it (including the noise) using the task imedit. The second step is to normalise both masterflats, so that the signals (gradients and fine structures) are of the same amplitude. Furthermore, it is necessary to correct for bad pixels, because they may spoil the whole undertaking. Bad pixels have the tendency to show up as unwanted bright (or dark) stars on the final flat. Therefore care should be taken to eliminate all bad pixels or lines before smoothing. Having completed the preparations, both masterflats now have to be smoothed. In our case we used a Gaussian algorithm (IRAF task gauss) to smooth the images. The σ of the Gaussian is not critical. Tests with different σ revealed a negligible difference in the final flats. Even using a σ of 100 pix does not change the result significantly. Subtracting or dividing the final flats only revealed a residual of generally less than 0.1%; on some “hot spots” the difference was larger, though in every case less than 0.5%. In most cases a sigma of 5-10 pixels should be used, in order to separate small scale and large scale features optimally. It is important that both masterflats are treated with the same Gaussian. Otherwise some features might be missing and others might be double in the final flat. The smoothed object frame flatfield will correct the large scale structures. The other (twilight) flat is used to correct the small scale structures. Therefore we flatten (“skin”) this image, so that only the high frequencies are visible. This is done by simply dividing the unsmoothed twilight masterflat by the smoothed one – the gradient is removed, the only features which are left are the fine variations. The smoothed twilight flat and the untreated object flat may now be discarded. Finally we only need to multiply the smoothed object flat to the “skinned” twilight image. The result has both the correct large scale structure and high S/N small scale structure. This image can now be applied to the object frames in the standard manner. The process can be described in short using the following formula: n n n n Ffin = (Ftw − g(Ftw , σ)) × g(Fobj , σ) (A.1) with Fxn being the (normalised) final, twilight and object frame flats, G(F, σ) the Gaussian. 2 We describe this method as done with tasks of the IRAF image reduction package. The basic methods are the same in every other program; it may be that other packages do not have some of the particular tasks or it is more complicated to accomplish the one or other step. 3 We assume, the flatfield images have been debiased etc. beforehand. 4 When assembling the twilight flats, it is wise to also use a clipping algorithm in order to remove possible stars (which can even be unnoticed on the image); For this to be done successfully every exposure should be offset to the previous one by 10-2000 , so that the stars are not always on the same position on the chip. 5 which rejects a certain percentile of pixels from a median formed before the clipping. 126 A PPENDIX B D ATA OF THE STARS OF THE EQUATORIAL FIELD As mentioned in Chapter 2 we collected data on a field just north of the celestial equator at a right ascension of between 22h 30m and 1h 50m taken from the Hamburg-Schmidt survey (Hagen et al. 1995). We did not use any of the obtained data for the main part of our work, because most of the objects were found to be not suitable because they are either no sdB or HBB stars, or they had an obvious cool companion (which means that the physical parameters could not have been derived reliably). Only about 15-20 stars were in fact sdBs. Moreover they are very faint, and hence far away, the tangential velocities would be much less accurate than for the brighter and therefore closer HE stars. Nevertheless, we include a data table of objects in this field in order to make the data available. Note however that because these objects were not considered for our main study, the data are not complete and in some cases not completely reduced. The proper motions are relative only, i.e. they have not been calibrated to the extragalactic reference frame. Most of the positions are the 1950.0 positions given in the HS catalogue precessed to 2000.0. The data for photometry, spectroscopy and astrometry has been obtained at Calar Alto observatory, the first epoch coordinates of the proper motions have been taken from the APM catalogue. Data reduction and analysis is described in Chapter 2. The CCD images of these stars might be a good first epoch for a proper motion determination using CCD data obtained in about 2008 or later as second epoch (the same applies to the CCD data of the HE stars). Because most of the stars are just to faint to be observed by the DIVA satellite, such an approach is still necessary if one wants to determine more accurate proper motions of these stars, than possible today. The DIVA catalogue can serve as input catalogue. More information about the data can be obtained, by mailing to: [email protected]; See also http://www.astro.uni-bonn.de/ maltmann/index.html for possible changes in email address or other information. 127 B. DATA OF THE STARS OF THE EQUATORIAL FIELD 23 09 53.4 23 11 27.80 23 13 54.9 23 16 43.2 23 18 19.0 23 19 07.0 23 18 31.86 23 21 26.8 23 23 13.9 23 26 22.35 23 26 06.59 23 26 45.8 23 37 14.9 23 38 43.5 23 49 26.9 23 53 02.2 23 54 31.1 +01 12 14 +09 58 38.5 +07 12 51 +01 16 41 +09 11 48 +02 12 42 +09 34 03.9 +09 17 28 +08 56 43 +09 03 00.5 +05 16 15.8 +05 53 48 +02 0 49 +00 43 0 +04 21 4 +10 11 19 +07 6 26 16.55 15.91 14.45 15.68 16.77 12.88 15.71 13.98 14.40 15.70 16.23 16.88 16.78 15.47 16.94 15.14 14.41 16.68 17.01 17.41 14.58 17.00 15.56 16.30 16.15 15.84 16.95 16.06 16.84 −0.20 −0.06 −0.15 +0.04 +0.28 −0.29 +0.32 −0.16 −0.14 +0.04 −0.11 +0.02 +0.18 −0.06 −0.10 −0.11 −0.10 +0.39 −0.32 0.00 +0.33 +0.21 −0.08 −0.06 −0.12 −0.08 −0.10 +0.14 −0.18 −0.07 +0.01 −0.22 +0.08 +0.22 −0.09 −0.01 −0.19 −0.11 +0.03 −0.06 −0.01 sdB+x? sdB sdB sdB sdB sdB+x HBB HBB/sdB HBB ??? sdB DA DA sdOB sdB sdB+x? sdO DA sdB+x DA sdB+x sdB/HBB sdB sdOB+x sdB sdB sdB/HBB sdOB sdB+x +14.3 −0.9 −4.5 −4.0 +1.8 +1.1 26250 32500 30000 30000 37500 5.20 5.15 5.18 5.00 5.12 YAS YAS YAS YAS YAS Table B.1: Data of stars in the equatorial field: Positions, typology, relative proper motions, Teff and log g, if available. UH means Heber (priv. comm) and YAS Aguilar-S’anchez (1998). A “p” in the magnitude column means that this is the photographic value from the HS. No. Name α(2000.0)δ V B−V V − R Type µα cos δ µδ Teff log g Source [hms ] [◦ 0 00 ] [mag] [mas/yr] [K] 22 34 16.56 +06 25 53.9 +0.30 −3.7 +3.8 22 40 14.3 +02 06 32 −0.15 22 42 52.5 +01 52 22 −0.17 32000 5.60 UH 22 49 27.0 +02 14 33 −0.22 33100 5.00 UH 22 52 15.94 +00 41 56.3 −0.22 −3.7 +2.1 22 54 02.03 +00 13 57.5 +0.63 +26.2 +25.3 22 54 23.36 +08 17 56.7 −0.16 +8.9 +7.6 22 56 01.1 +09 17 00 −0.04 23 04 22.98 +07 45 10.8 +0.49 +2.2 +1.9 +0.31 23 06 22.34 +02 09 05.9 −0.28 +0.6 +14.4 33700 5.71 −0.30 −0.11 −0.18 +1.7 +8.5 52000 5.2 UH −0.16 +0.06 1 HS 2231+0610 2 HS 2237+0150 3 HS 2240+0136 4 HS 2246+0158 79 HS 2249+0026 5 HS 2251−0001 6 HS 2251+0801 7 HS 2253+0900 9 HS 2301+0728 9a HS 2302+0255 9b HS 2303+0152 9c HS 2306+0238 11 HS 2307+0055 12 HS 2308+0942 13 HS 2311+0656 14 HS 2314+0100 15 HS 2315+0855 16 HS 2316+0156 17 HS 2316+0917 18 HS 2318+0901 19 HS 2320+0840 21 HS 2323+0846 20 HS 2323+0459 22 HS 2324+0537 23 HS 2334+0144 24 HS 2336+0026 25 HS 2346+0404 26 HS 2350+0954 27 HS 2351+0649 continued next page. 128 129 Name HS 2352+0415 HS 2357+0239 HS 0003+0632 HS 0007+0235 HS 0009+0026 HS 0009+0144 HS 0014+0000 HS 0014+0400 HS 0015+0024 HS 0016+0044 HS 0016+0216 HS 0019+0215 HS 0019+0318 HS 0033+0644 HS 0039+0030 HS 0041+0117 HS 0042+0927 HS 0043+0353 HS 0048+0026 HS 0055+0138 HS 0102+0024 HS 0105+0316 HS 0112+0244 HS 0116+0257 HS 0122+0239 HS 0123+0118 HS 0124+0311 HS 0129+0120 HS 0129+0333 HS 0145+0236 HS 0146+0217 No. 28 29 30 31 32 33 34 35 36 37a 37 38 39 41 42 43 44 45 46 47 48 49 51 52 53 54 55 56 57 59 60 Table B.1: Data of stars in the equatorial field (cont.) α(2000.0)δ V B−V V − R Type µα cos δ µδ hms ◦ 0 00 [ ] [ ] [mag] [mas/yr] 23 55 21.4 +04 32 20 16.60 +0.82 +0.45 cool 23 59 35.3 +02 55 48 16.71 −0.28 −0.14 He−sdB/O 0 05 52.0 +06 49 20 16.80 −0.19 −0.05 sdB 0 10 09.0 +02 52 32 16.12 −0.24 −0.12 sdB 0 11 34.0 +00 43 15 16.48 +0.05 +0.10 HBB 0 12 04.4 +02 1 28 16.54 +0.14 +0.07 CV 0 16 52.4 +00 16 59 17.06 +0.37 +0.29 sdB 0 17 27.4 +04 16 57 14.62 +0.30 +0.18 HBB 0 17 42.2 +00 41 36 17.02 −0.03 −0.04 no sdB! 0 18 43.4 +01 1 21 sdB 0 18 43.3 +02 33 23 17.09 +0.17 +0.02 no sdB! 0 22 15.7 +02 31 56 17.61 0.00 −0.01 He−sdB 0 22 13.1 +03 35 5 16.98 0.00 +0.07 sdB+x 0 36 02.6 +07 0 48 16.76 −0.23 +0.16 DA 0 42 33.4 +00 47 18 17.40 −0.30 −0.32 sdB 0 44 04.9 +01 33 43 16.81 +0.06 +0.22 AGN 0 44 46.7 +09 43 51 16.02 −0.16 −0.11 sdB+x? 0 45 47.2 +04 10 22 15.85 +0.19 +0.27 AGN 0 51 06.7 +00 42 46 15.86 −0.30 −0.13 no sdB! 0 58 24.7 +01 54 33 15.14 −0.28 −0.14 sdB 1 05 30.5 +00 40 8 17.66 −0.21 −0.13 DA 1 08 16.9 +03 32 45 17.29 −0.24 −0.17 sdO/OB 1 14 42.3 +03 0 15 16.32 +0.56 +0.38 sdB+x 1 19 27.2 +03 13 29 17.22 −0.28 −0.14 sdB 1 25 20.2 +02 55 8 16.25 +0.56 +0.44 sdOB+x 1 26 21.1 +01 34 31 17.37 −0.17 −0.08 sdB 1 26 48.3 +03 27 8 16.90 +0.19 +0.20 AGN 1 32 24.0 +01 35 59 17.02 +0.02 +0.03 ??? 1 32 26.1 +03 48 39 17.01 +0.30 +0.27 pec 1 47 51.5 +02 51 38 16.73 0.00 +0.06 ??? 1 48 56.9 +02 32 26 16.68 +0.33 +0.18 AGN 5.12 5.00 5.12 5.37 5.12 27500 28750 32500 32500 log g 27000 Teff [K] YAS YAS YAS YAS YAS Source B. DATA OF THE STARS OF THE EQUATORIAL FIELD 130 A PPENDIX C V ARIABLES AND D EFINITIONS USED IN THIS STUDY In this part all variables and definitions used in this work are listed and briefly explained. In this compendium only short descriptions and explanations of the relevant quantities are given as a quick reference. For more detailed information we refer to the literature. C.1 P HOTOMETRIC QUANTITIES • U, B, V, R, I: passbands of the Johnson-Cousins U BV RI system, the most well known and widely used photometric system. It consists of wide passbands and is thus ideal for faint objects; on the other hand Johnson photometry smears out more physical information than middle or narrow band photometry. B − V is a colour index in the Johnson-Cousins system and (B − V )0 represents the B − V index corrected for reddening. Also widely used is the Stroemgren u, v, b, y middle passband photometric system. • AV and EB−V : Interstellar absorption and reddening (in this case in V passband); these quantities are related to each other by AV =R × EB−V with R=3.1 for B − V . (In our case we used IRAS maps taken from Schlegel et al. (1998), who recommend a slightly different value of 3.315.) • M, MV : absolute magnitude (V magnitude of the stars if it were at a distance of 10 pc.) • δMV : quantity used in Chapter 3 to describe the difference between the actual absolute magnitude of a BHB star and the absolute magnitude of the horizontal part (at the B − V of RR Lyrae). This is necessary to compensate the downward trend in MV for bluer stars. C.2 S TELLAR PHYSICAL QUANTITIES • log g: logarithm of the surface gravities in the CGS system. • R: stellar radius • Teff : effective temperature 131 C. VARIABLES AND D EFINITIONS USED IN THIS STUDY C.3 S PATIAL AND KINEMATIC QUANTITIES C.3.1 O BSERVED QUANTITIES • α, δ: celestial coordinates are given in equinox J2000.0 throughout this study. • µα cos δ, µδ : proper motions, usually given in mas/yr, 00 /100 yrs and other units are also found. µα cos δ is actually 15µα cos δ, the 15 · cos δ translates µα from hms coordinates to ◦000 . • vrad : radial velocity • d: distance C.3.2 S PATIAL QUANTITIES AND VELOCITIES • XY Z, U V W : The euclidian galactic velocity coordinate system; XY Z are the spatial coordinates, and U V W the velocities. X points from the Sun to the Galactic centre (GC), the zero point lies in the GC, which means that X =−8.500 kpc; the corresponding velocity is U . Y points in the direction of Galactic rotation, its zero point also lies in the GC. The velocity component in the Y direction is V . In the solar vicinity V contains most of the rotational velocity of the Disk. The Z axis lies perpendicular to the Galactic plane with its origin in the GC. W is the corresponding velocity component. The coordinates of the GC are accordingly: (X, Y, Z)=(0, 0, 0) kpc and the Sun’s (−8.5, 0, 0.007) kpc. Note: In many publications the V velocity component has its origin at V = VLSR , i.e. at the rotational velocity of the disk at the solar position. Others, such as in our case, non-rotation (V=0 km s−1 ) is used. As the resulting values differ by the galactic rotational velocity, which is 220 km s−1 , therefore one should be aware of the different definitions of V when comparing the results of different studies. • z: z = |Z| is the (positive) distance of an object to the Galactic plane. • $: (planar) Galactocentric distance, the distance between the Galactic centre and a point projected to the galactic plane, i.e. as given by $= p X2 + Y 2 (C.1) In some publications $ is also ρ and (depreciated) R, which actually refers to another (however closely related) quantity. • R: (Total) Galactocentric distance. In contrast to $, R stands for the total distance between the Galactic centre and the object and is given by: R= p X2 + Y 2 + Z2 (C.2) In some studies R is also called Rgc . • Θ: Orbital velocity; the (planar) orbital velocity lies perpendicular to the line object – Galactic centre as well as orthogonal to Z resp. W . The name “orbital velocity” is used rather than “rotational velocity” to avoid confusion with the rotational velocity (spin) of a star. Θ is one of the most important indicators of the population membership of stars, because it indicates whether an objects rotates with the Galactic Disk or not. This parameter can be computed using: Θ = V · cos η + U · sin η (C.3) 132 C.3. Spatial and kinematic quantities b) Z Z v tot v tot Galactic Plane Figure C.1: Spatial and velocity coordinates in the Galactic system. In panel a) the euclidian coordinates XY Z, U V W are presented, and in the right panel (b) the cylindrical velocity coordinates ΦΘW are shown. The hexagon represents an example object, GC stands for Galactic centre. The starred symbols refer to the object. with η being arctan(Y /X). For small Y , Θ ' V . • ΘLSR : the orbital velocity of the Local Standard of Rest (LSR), i.e. the local rotational velocity of the Galactic Disk. At the Sun, ΘLSR is 220 km s−1 according to the current IAU values. This value is also used throughout this study. • Q and σQ (with Q = U, V, W, Θ, Φ, ecc, nze, IZ ): Mean value of the quantity and its dispersion for an ensemble of objects. The mean value shows a typical value for some of these quantities, e.g. a significantly non zero Θ means that the objects in this group show a significant net motion, i.e. rotation – they are probably part of a rotationally supported disk-like structure. Others, such as Φ and W should be close to zero, if a disk is not expanding or warping. The dispersions give information about the uniformity of the motions in a group. In a disk-like structure, i.e. stars moving at a velocity relatively near the rotational velocity of the disk on low inclined orbits, the velocity dispersions are low, in a more disturbed group, where eccentricities and inclinations are spread over a larger range and the net rotation is slower, the dispersion is higher. In non rotating, spherical structures, the mean velocities are near zero and the dispersions very high. The dispersions are affected by the errors; the true dispersions are smaller than the observed ones. Given symmetrical errors, their influence on the mean value should be very small. However outliers in the distribution could have a large effect. • Θmed : This quantity is the median value of the orbital velocity (Θ) integrated over the whole orbit. The current values of Θ are momentary, they change with time; currently high values may become lower and vice-versa. Therefore Θmed was introduced to provide a characteristic velocity of an individual orbit. In principle the mean Θ could also have been used, Θmed pulls apart the datapoints a little more. Other characteristic points in an orbit include Θmax and Θmin , which are also plotted in Fig. 4.7. • Φ: Centrifugal velocity; Φ is the velocity component pointing away from the Galactic centre. In the solar vicinity Φ ' −U . Φ is computed by: Θ = V · sin η + U · cos η Θ✩ Φ✩ η Z✩ 90 o Y✩ Φ✩ Galactic Plane W✩ η GC ϖ X✩ Y X Y✩ Z✩ U✩ Galactic Plane W✩ X✩ Y GC X Galactic Plane W✩ V✩ a) (C.4) 133 C. VARIABLES AND D EFINITIONS USED IN THIS STUDY with η being arctan(Y /X). • vpec : peculiar velocity; the amount the velocity of an objects deviates from that of the LSR, i.e. from (Φ=0,Θ = ΘLSR ,W =0) km s−1 . vpec is an indicator of how “heated up” the orbit of a star is.qThe Sun’s peculiar velocities are (+10,+15,+8) km s−1 , its vpec is thus 19.7 km s−1 . (vpec = Φ2 + (Θ − Θ2LSR + W 2 )) • v⊥ : velocity perpendicular to the Galactic rotation (and to Θ). This parameter provides a measure for the degree an √ orbit deviates from a circular orbit – it is an indicator of “kinematic temperature” (v⊥ = Φ2 + W 2 . √ √ • vtot : Total velocity, i.e. vtot = U 2 + V 2 + W 2 = Φ2 + Θ2 + W 2 . • Iz : z-component of angular momentum – this quantity is a conserved quantity. • Ekin : kinetic energy of an object (we actually use Ekin /2m). Ekin = U 2 + V 2 + W 2 C.3.3 M ORPHOLOGICAL PARAMETERS OF THE ORBITS • Ra ,Rp : Apo- (Ra ) and perigalactic (Rp ) distance. These are the maximal and minimal distances from the Galactic centre reached by an individual object. In this work they are derived from the orbital morphology. • ecc: eccentricity; is a measure for the ellipticity of an orbit. It is computed by: ecc = Ra − Rp Ra + Rp (C.5) • zmax : maximum distance to the Galactic Plane, that a star reaches during its orbit. • nze: normalised z-extent; nze compensates for the diminished Galactic potential at larger distances from the Galactic centre. (the effect of which can be seen in any of the figures depicting orbits in Chapters 3, 4 and 5, as the widening up of each orbit in Z with increasing $ – i.e. further away from the Galactic plane.) nze was first introduced in de Boer et al. (1997a) and is calculated using the following formula: nze = C.3.4 zmax $(zmax ) (C.6) S CALEHEIGHTS AND D ENSITIES • z0 : The scale height of an exponential disk (sometimes also called h0 , hz ). z0 is the distance from the plane of an exponential disk where the density is reduced to 1/e (' 36.8%) of the initial density (at z0 ) of the distribution. Thus z0 , while being a measure of the thickness of such a distribution, does not mean the thickness itself, as an exponential disk does not have a limit as such. In practical, 3-5×z0 is more appropriate for the thickness as this encompasses most of the stars in this particular disk-like structure. 134 C.3. Spatial and kinematic quantities • N0 : Initial space density; this is the density of stars at the Galactic Plane, usually given in pc−3 or kpc−3 . In our case we cannot derive absolute values for N0 , but only relative density ratios. Therefore we only use density ratios throughout the discussion, setting the N0 value of the Thin Disk to 100%. In the discussion of our own sample, we set the Thick Disk’s N0 to 100%, since we do not have an accurate relative value for the Thin Disk. • N (z): Density at a distance z from the Galactic plane. 135 C. 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Blaue Horizontalaststerne (d.h. alle HB-Sterne heißer als RR-Lyrae-Sterne) sind sehr gut für Studien der älteren Komponenten der Milchstraße geeignet, da sie hell sind und eine blaue Farbe haben – im Gegensatz zu fast allen anderen Objekten in alten Populationen, wie die der Dicken Scheibe und dem Halo3 . Blaue Horizontalaststerne sind daher leicht und auch in großen Entfernungen aufzufinden. Ihre Spektren sind relativ unkompliziert und daher leicht zu analysieren. Nachteilig sind Verwechslungsmöglichkeiten von den kühleren blauen HB-Sternen (insbesondere HBB-Sternen) mit Hauptreihensternen, und die veränderlichen Radialgeschwindigkeiten vieler sdB-Sternen. Diese zeugen davon, dass es sich bei vielen sdB-Sternen um enge Doppelsterne handelt. Bisherige Studien des kinematischen Verhaltens von sdB Sternen kamen zu dem Ergebnis, dass diese Sterne vor allem oder sogar ausschließlich Mitglieder der Galaktischen Scheibe sind, und zwar der Dicken Scheibe (siehe z.B. de Boer et al. 1997a). Ein Ziel dieser Arbeit ist es, die lange vermutete Halo sdB Komponente zu finden. D ER T REND IN DER K INEMATIK VON S TERNEN DES H ORIZONTALASTES Wir haben eine Stichprobe (Kapitel 3) von HBA-, HBB- und sdB-Sternen untersucht, für die mit dem Hipparcos Satelliten Eigenbewegungen und Parallaxen gemessen wurden. Aus den Parallaxen haben wir, unter Berücksichtigung des Lutz-Kelker-Effektes, die Entfernung der HB-Sterne bestimmt4 . Es wurde ein Trend im kinematischen Verhalten gefunden: Die HBA-Sterne nehmen nicht an der Galaktischen Rotation teil, sie haben sehr exzentrische Umlaufbahnen und erreichen mitunter große Entfernungen zu der Galaktischen Ebene. Sie sind alle Mitglieder des Galaktischen Halos5 . Im Gegensatz dazu folgen die untersuchten sdB-Sterne der Galaktischen Rotation. Sie bleiben auch stets in der Nähe der Galaktischen Ebene, und ihre Bahnen haben nur eine kleine bis mittlere Exzentrizität. Sie sind also Mitglieder der Scheibe. Bei den HBB-Sternen haben wir kein klares Bild erhalten, da uns hier, wegen den Verwechselungsmöglichkeiten mit Hauptreihensternen, nur wenige wirkliche HBB-Sterne zur Verfügung stehen. Zur Ergänzung haben wir außerdem RR-Lyrae Sterne untersucht, die sich an der kühleren Grenze des HBA Bereichs anschließen. Man findet sowohl der Scheibe wie auch dem Halo zugehörige RR-Lyrae Sterne, wobei letztere die Mehrheit bilden. Es gibt also einen Trend in der Kinematik der Sterne entlang des Horizontalastes. 1 HB: “horizontal branch”, also Horizontalast. sdB: “subdwarf B”, also Unterzwerge des Spektraltyps B. 3 Die anderen, helleren Sterne in alten Populationen, Rote Riesen und RHB-Sterne, sind nur schwer voneinander zu unterscheiden. 4 In unserem Falle reicht die Genauigkeit der Parallaxen in den meisten Fällen nicht zur Entfernungsbestimmung von Einzelsternen aus; daher musste eine Methode angewandt werden, die die gesamte Stichprobe miteinbezieht. 5 Diese Sterne wurden an Hand ihrer Metallizität und Bewegung aufgespührt, was zu einer Bevorzugung von HaloSternen führt, da diese sowohl metallarm sind und meist eine große Eigenbewegung oder Radialgeschwindigkeit zeigen, während potentielle HBA Sterne in der Scheibe deutlich unterrepräsentiert sind. 2 150 K INEMATIK VON SD B-S TERNEN Den Hauptteil dieser Arbeit stellt eine erweiterte Studie der Kinematik heißer Unterzwergen dar6 . Hierzu wurden in Zusammenarbeit mit H. Edelmann (Bamberg) neue astrometrische, photometrische und spektroskopische Daten für 58 sdB-Sterne aus dem Hamburg-ESO- (HE-) Katalog gewonnen. Mit weiteren Sternen, für die Eigenbewegungen aus dem Hipparcos Katalog zur Verfügung stehen, und den Sternen aus der früheren Studie von de Boer et al. (1997a) wurde die Anzahl der insgesamt untersuchten Sterne auf 114 erhöht – also fast eine Verdreifachung gegenüber dem Sample von de Boer et al. (1997a). Mögliche Auswahleffekte können die Ergebnisse einer Studie wie dieser stark beeinflussen. Daher haben wir eventuelle auswahlbedingte Verfälschungen und ihre mögliche Folgen diskutiert. Einerseits ist unsere Stichprobe weitgehend frei von Auswahleffekten, die durch die Identifikationsmethode entstehen könnten. Andererseits beschränken sich diese Kataloge auf Objekte bei mittlerer und hoher Galaktischer Breite, so dass in unserer Stichprobe zu wenig Sterne in der Nähe der Galaktischen Ebene zu finden sind – daher vermuten wir, dass Sterne der Dünnen Scheibe in unserer Probe unterrepresentiert sind. DATEN UND DATENREDUKTION In Kapitel 2 wird die Datenbeschaffung und -reduktion beschrieben. Helligkeiten und Eigenbewegungen sind aus Daten, die mit dem 1.54m Teleskop der Europäischen Südsternwarte aufgenommen wurden, bestimmt worden. Die Photometrie haben wir mit den Photometriepaketen der IRAF Datenverarbeitungssoftware (Aperturphotometrie) bewerkstelligt; die Eichung erfolgte mit Hilfe der (während der Beobachtungen aufgenommenen) Standardsterne von Landolt (1992). Für die Bestimmung von Eigenbewegungen ist ein Vergleich zwischen alten und neuen Aufnahmen7 notwendig. Als Erstepochendaten für die Bestimmung der Eigenbewegungen ist der DSS1 herangezogen worden, eine digitalisierte Version des Palomar Observatory Sky Surveys (POSS), bzw. seiner südlichen Ergänzung, des UK-Schmidt Survey. Leider sind diese Daten relativ jung; sie stammen zumeist aus den 70er Jahren, so dass sich eine mittlere Epochendifferenz von nur ca. 25 Jahren ergibt. Größere Epochendifferenzen würden genauere Eigenbewegungen liefern. Die Plattenkoordinaten (XY-Positionen) sowohl der Erst- wie auch der Zweitepochendaten haben wir mit Hilfe des Programms SExtractor (Bertin & Arnouts 1996) bestimmt, welches gegenüber anderen Programmen, etwa DAOPHOT, deutliche Vorteile (etwa Geschwindigkeit, Genauigkeit8 ) besitzt. Die astrometrische Reduktion erfolgte nach dem Standardverfahren: Zunächst werden für jede Aufnahme die Plattenkoordinaten im Vergleich zu einem Referenzkatalog bestimmt, anschlies̈end die Eigenbewegungen. Das Ergebnis wird dann in einer weiteren Iterationsstufe als Referenzkatalog verwendet. Diese Reduktion haben wir mit der BAP-Software von M. Geffert (siehe Geffert et al. 1997) durchgeführt. Da für die erste Iterationsstufe der Reduktion keine Referenzkataloge mit gemessenen Eigenbewegungen zur Verfügung standen, haben wir die Eigenbewegungen als 0 mas/yr angenommen, was zur Folge hat, dass die gemessenen Eigenbewegungen nur relative, aber keine absolute Eigenbewegungen sind. Die relativen Eigenbewegungen haben wir dann mit Hilfe der Hintergrundgalaxien zu absoluten geeicht. 6 Dieser Teil wird in den Kapiteln 2 und 4 behandelt. Aus didaktischen Gründen ist die Reihenfolge, in der in diesem Abschnitt die Aspekte der Arbeit zusammengefasst werden, verändert. 7 Erst- und Zweitepochendaten. 8 Dies bezieht sich auf den Unterschied in der Methode mit der die Koordinaten bestimmt werden. DAOPHOT verwendet eine PSF, die sich auf eine einzige Form der Lichtverteilung stützt, während SExtractor das Zentrum jeder Lichtverteilung bestimmt – daher ist SExtractor für digitalisierte Photoplatten und Galaxien besser geeignet. 151 Z USAMMENFASSUNG Da uns nur ein Erstepochendatensatz vorlag, können wir keine genauen Angaben bezüglich der Fehler machen; wir schätzen sie auf etwa 5 mas/yr. Die Spektren hat H. Edelmann mit der MIDAS Software reduziert und danach Modellspektren an die Sternspektren angepasst, um Temperaturen und Schwerebeschleunigungen zu bestimmen. Daraus sind dann mit Hilfe von Standardmethoden der Astrophysik die Entfernungen bestimmt worden. Außerdem haben wir aus den Spektren Radialgeschwindigkeiten ermittelt. Der Fehler der Entfernungen beträgt 10 % und der der Radialgeschwindigkeiten 30 km s−1 . K INEMATIK UND BAHNEN Die Messdaten wurden zunächst in die Positionen und Geschwindigkeiten des Galaktischen Euklidischen Koordinatensystems (XY Z, U V W ) umgewandelt und die Orbital- (Θ) und Zentrifugalgeschwindigkeit (Φ) berechnet. Desweiteren haben wir mit Hilfe des Potentialmodells von Allen & Santillan (1991b) Galaktische Umlaufbahnen für jeden der Sterne berechnet. Wie in Kapitel 4 dargestellt, zeigt sich, dass die große Mehrheit der Sterne, wie in vorherigen Studien auch, Mitglieder der Dicken Scheibe sind, eine Minderheit jedoch ein ganz anderes kinematisches Verhalten hat. Letztere Sterne erreichen z.T. große Höhen überhalb der Galaktischen Scheibe, und ihre Geschwindigkeiten unterscheiden sich stark von der Rotationsgeschwindigkeit der Galaktischen Scheibe. Die Kinematik dieser Sterne und die Form ihrer Bahnen lassen vermuten, dass diese Objekte zum Halo gehören. Einige dieser Sterne haben weitaus höhere Θ als jene der Sonne oder anderer Scheibensterne, andere zeigen hingegen erheblich kleinere Umlaufgeschwindigkeiten; zwei Objekte bewegen sich sogar signifikant retrograd. Unsere Halogruppe besteht also aus zwei Untergruppen, einem “Hochgeschwindigkeitshalo” und einem “langsam rotierenden Halo”. Betrachtet man jedoch die Umlaufgeschwindigkeiten über die gesamte Bahn (ausgedrückt in z.B. Θ oder Θmed ), so verschwinden diese Unterschiede. In Diagrammen wie z.B. Abb. 4.8 sind die Sterne beider Gruppen in derselben Region zu finden. Der Unterschied zwischen beiden liegt lediglich in der Phase des Orbits, in der sich die Sterne derzeit befinden (z.B. in der Nähe des Perigalaktikons die “schnellen” und in der Nähe der Apogalaktikons die “langsamen” Sterne). Ob es trotzdem einen Unterschied in der Herkunft der Objekte dieser beiden Gruppen gibt, lässt sich derzeit nicht klären. Immerhin kommen die Objekte der langsamen Gruppe zum Teil sehr nah an das Galaktische Zentrum heran, während die der anderen ihr Perigalaktikon in der Nähe des Sonnenkreises haben. Der Anteil der Haloobjekte in der gesamten Stichprobe liegt bei ca. 15 %. Dünne und Dicke Scheibe konnten wir nicht trennen, einige unserer Sterne haben jedoch Umlaufbahnen, die denen der Dünnen Scheibe, etwa der der Sonne, sehr ähneln. D IE S KALENH ÖHE DER SD B-S TERNE Als nächstes haben wir die z-Aufenthaltswahrscheinlichkeitsverteilung erstellt. Mit Hilfe der berechneten Umlaufbahnen kann man beispielsweise die Aufenthaltswahrscheinlichkeit in z-Richtung (oder auch einer anderen Richtung) bestimmen und in ein Histogramm auftragen. Macht man dieses für alle Sterne, so erhält man die Aufenthaltswahrscheinlichkeitsverteilung für das gesamte Sample. Wir haben die Verteilung in z-Richtung untersucht und dabei festgestellt, dass die Verteilung (an jeder Seite) zwei Steigungen hat, im Gegensatz zur einer ähnlichen, von de Boer et al. (1997a) an einer kleineren Stichprobe vorgenommenen Analyse, in der nur eine Steigung gefunden wurde (siehe Abb. 4.9). Die steilere von beiden, in der Mitte des Histogramms, hat eine ähnliche Steigung, wie die von de Boer et al. (1997a). Außerhalb dieser zentralen Komponente haben wir eine weitaus flachere 152 Verteilung gefunden. Die daraus resultierenden Skalenhöhen betragen 0.9 kpc für die steile Komponente und 7 kpc für die flache, das Dichteverhältnis Dicke zu Dünne Scheibe liegt bei 1.2 %. Letztere stellt den Halo dar, erstere die Dicke Scheibe. Eine weitere, der Dünnen Scheibe zuzuordnende Komponente konnten wir nicht finden, haben wir eine Obergrenze für eine sdB Population in der Dünnen Scheibe bestimmt: Diese ist erheblich geringer als vermutet (allerdings erwartungsgemäß nicht sehr genau), vermutlich weil es sich bei sdB-Sternen um entwickelte Sterne handelt, welche in der Dünnen Scheibe9 gegenüber Populationen, in denen die Sternentstehung schon lange abgeschlossen ist, unterrepresentiert sind. Zusammenfassend kann man sagen, dass die Verteilung von sdB-Sternen im Prinzip ähnlich der Verteilung anderer massearmer Sterne ist und somit sdB-Sterne also in allen Populationen vorkommen, d.h. die sdB Sterne besitzen Sterne unterschiedlicher Metallizität als Vorstufen10 . Daher kann eine Eigenschaft, wie z.B. die Metallizität, bei der Frage, ob sich Sterne zu sdB-Sternen entwickeln, allenfalls eine untergeordnete Rolle spielen. Zwei Entstehungstheorien, die derzeit diskutiert werden, sind die Entstehung durch Masseaustausch in engen Doppelsternsystemen, oder der Verlust der Hülle durch außergewöhnlich starke Sternwinde. Beide Szenarien sind mit unseren Ergebnissen vereinbar. K INEMATIK VON HBB-S TERNEN Unter den insgesamt 80 Sternen aus dem HE-Katalog, die für dieses Projekt beobachtet wurden, befinden sich auch 13 HBB-Sterne. Die Kinematik dieser Sterne haben wir zusammen mit der von weiteren Sternen aus der Literatur analysiert (siehe Kap. 5). Leider sind unsere Ergebnisse hier weniger aussagekräftig als bei den sdB-Sternen, da die aus der größeren Entfernung dieser Sterne resultierenden Tangentialgeschwindigkeiten ungenauer sind und die Stichprobe wesentlich kleiner ist. Die HBB-Sterne sind sowohl im Halo wie auch in der Scheibe zu finden, einen “Hochgeschwindigkeitshalo” wie bei den sdBs gibt es nicht. Die Menge der Sterne reicht nicht aus, um eine aussagekräftige z-Aufenthaltswahrscheinlichkeitsverteilung zu bestimmen. Legt man aber die für die sdB-Sterne gefundene Verteilung über das Histogramm, so findet man eine recht gute Übereinstimmung. Sie sind also ebenfalls in allen Populationen präsent. Daher sind vermutlich HBB-Sterne teilweise durch dieselben oder ähnliche Prozesse wie die sdB-Sterne entstanden. Möglicherweise gibt es auch HBBSterne, die ähnlich wie die kühleren HBA-Sterne entstanden sind und es somit in der HBB-Region einen Überlapp beider Entstehungsszenarien gibt. D ISKUSSION S TELLARE A SPEKTE Welche Konsequenzen haben die Ergebnisse unserer Studie an der größeren Stichprobe von sdBSternen für den in Kap. 3 gefundenen Trend? Die Grundaussage, dass HBA-Sterne Haloobjekte und die sdB-Sterne vornehmlich Mitglieder der Scheibe sind, bleibt bestehen. sdB- und HBA-Sterne werden offensichtlich durch unterschiedliche Prozesse gebildet. HBA-Sterne sind wohl aus sehr massearmen Vorläufersternen entstandene “klassische” Horizontalaststerne, wohingegen die sdB-Sterne entweder durch Massenaustausch in engen Doppelsternsystemen oder aber durch aussergewöhnlich 9 in welcher auch heute noch Sternentstehung stattfindet. Die Sterne der Populationen der Milchstraße besitzen im Mittel unterschiedliche Metallizitäten. Objekte des Halos sind im Allgemeinen metallarm bis sehr metallarm, die Sterne der Dicken Scheibe besitzen eine mittlere Metallizität und die Sterne der Dünnen Scheibe, etwa die Sonne, haben eine recht große Metallizität. 10 153 Z USAMMENFASSUNG starke Sternwinde (wie in D’Cruz et al. 1996 beschrieben) entstanden sind. Die im Temperaturbereich zwischen sdB- und HBA-Sternen angesiedelten HBB-Sterne können möglicherweise durch beide Szenarien gebildet werden. G ALAKTISCHE A SPEKTE Unser Ergebnis für die Skalenhöhe der Dicken Scheibe von 0.9 kpc liegt im Bereich der Resultate anderer Studien. Allerdings ist die Streuung der in der Literatur gefundenen Werte für die Skalenhöhe relativ groß; die Werte schwanken zwischen etwa 0.6 kpc und 1.7 kpc. Leider lassen sich auf Grund der Zusammenstellung unserer Stichprobe11 Dicke und Dünne Scheibe nicht trennen. Es ist zu vermuten, dass diese beiden Scheibenkomponenten sich kinematisch beträchtlich überlappen. Andere Arbeiten, die auf Sternzählungen beruhen, kommen zu dem Ergebnis, dass Dicke und Dünne Scheibe getrennt sind (z.B. Phleps et al. 2000). Die Halo-Population unserer sdB-Sterne besitzt eine Hoch- und eine Niedriggeschwindigkeitskomponente. Die Werte für die mittlere Umlaufgeschwindigkeit von letzterer Komponente, der HBA-Sterne und der metallarmen RR-Lyrae-Sterne, sind sehr ähnlich, und zwar leicht positiv. Also rotiert der Halo unseren Ergebnissen nach leicht prograd. Eine Hochgeschwindigkeitskomponente des Halos haben wir nur bei den sdB-Sternen gefunden. Es stellt sich die Frage, ob es bei anderen Sternen ebenfalls solch eine Gruppierung gibt. Bei Hauptreihensternen gibt es Objekte mit ähnlich extremer Kinematik, z.B. Barnards Stern. Zwei der sdB-Sterne aus der Hochgeschwindigkeitsgruppe besitzen nicht nur ein extremes kinematisches Verhalten, sondern auch recht ähnliche Bahnen. Es könnte sich hierbei um Objekte gemeinsamen Ursprungs handeln. Möglicherweise handelt es sich bei den meisten Objekten dieser Gruppe um Sterne, die aus anderen, kleineren Galaxien stammen und durch Wechselwirkungen dieser (Zwerg)galaxien mit der Milchstraße Teil unserer Galaxis geworden sind. Viele Entstehungsszenarien sehen derartige Ereignisse vor. Desweiteren fiel uns auf, dass sich die mittleren Geschwindigkeiten in Richtung Galaktisches Zentrum (also Φ) bei allen Proben der Dicken Scheibe von Null unterschieden; die der Haloproben unterscheiden sich ebenfalls von Null, nur mit entgegengesetzten Vorzeichen. Nach Fux (2001) ist diese Verschiebung gegenüber dem Nullpunkt bei den Sternen der Dicken Scheibe auf die Gegenwart eines Balkens zurückzuführen. Seine Stichprobe aus Sternen der Dicken Scheibe zeigte einen ähnlichen Wert wie der unsrige. Abschließend diskutieren wir unsere Ergebnisse im Zusammenhang mit einigen Entstehungstheorien von Halo und Dicker Scheibe. Während ein Teil des Halos durch Akkretion von Zwerggalaxien entstanden sein könnte, spricht doch die große Anzahl der Sterne, deren Bahn sie unmittelbar in die Nähe des Galaktischen Zentrums führt, dafür, dass ein weiterer Teil durch einen Kollaps einer Protogalaxie entstanden ist ähnlich dem Szenario von Eggen et al. (1962). Die Entstehung der Dicken Scheibe scheint nur durch Wechselwirkungen der Dünnen Scheibe mit Zwerggalaxien erklärbar zu sein. Die anderen Szenarien (z.B. Entstehung der Dicken Scheibe während des Kollapses als Zwischenstufe zur Entstehung der Dünnen Scheibe) werden durch die Beobachtungsergebnisse nicht bestätigt. 11 die Dünne Scheibe war auch nicht das Hauptziel dieser Untersuchung. 154 C URRICULUM VITAE Name: Date of birth: Place of birth: Nationality: Address: Martin Altmann 26th May 1970 Pretoria/Republic of South Africa german Dondertstr. 119, 47623 Kevelaer School career: 1977–1980: Deutsche Schule Pretoria (DSP), Pretoria 1980–1984: Max-Stibbe School, Pretoria 1984–1990: Kardinal von Galen Gymnasium, Kevelaer 1990: Abitur (final school exams) Military service: 1990–1991: General military service at 3./FArtBtl. 111 (surveyance for artillery), Oldenburg in Oldenburg University career: 1991–1997: Study of Physics (Diploma) at the Rheinische Friedrich-Wilhelms-Universität Bonn 1991–2002: Study of Astronomy (Promotion) at the Rheinische FriedrichWilhelms-Universität Bonn 1994: Prediploma in Physics 07/1996–10/1997: studentische Hilfskraft at the Sternwarte of the Univ. Bonn 1996–1997: Diploma in Physics. Thesis about “Proper Motions and Orbits of 12 sdB stars” (Supervisor: Prof. Dr. Klaas S. de Boer) 10/1997–02/1998: wissenschaftliche Hilfskraft at the Sternwarte of the University Bonn 03/1998–04/2001: Scientific employee at the Sternwarte of the Univ. Bonn (DFG funded) Since 11/2001: Scientific employee at the Dr. Remeis Sternwarte, Bamberg in the frame of the DIVA-project (Univ. Erlangen-Nürnberg, DLR funded) 155 L EBENSLAUF L EBENSLAUF Name: Geburtsdatum: Geburtsort: Nationalität: Anschrift: Martin Altmann 26. Mai 1970 Pretoria/Republik Südafrika deutsch Dondertstr. 119, 47623 Kevelaer Schullaufbahn: 1977–1980: Deutsche Schule Pretoria (DSP), Pretoria 1980–1984: Max-Stibbe School, Pretoria 1984–1990: Kardinal von Galen Gymnasium, Kevelaer 1990: Abitur Wehrdienst: 1990–1991: Grundwehrdienst bei 3./FArtBtl. 111, Oldenburg in Oldenburg Studium: 1991–1997: Physikstudium (Diplom) an der Rheinischen Friedrich-Wilhelms-Universität Bonn 1994: Vordiplom in Physik 07/1996–10/1997: studentische Hilfskraft an der Sternwarte der Univ. Bonn 1996–1997: Diplom in Physik. Diplomarbeit über “Eigenbewegungen und Orbits von 12 sdB Sternen” (Betreuer: Prof. Dr. Klaas S. de Boer) 1991–2002: Astronomiestudium (Promotion) an der Rheinischen Friedrich-WilhelmsUniversität Bonn 10/1997–02/1998: wissenschaftliche Hilfskraft an der Sternwarte der Universität Bonn 03/1998–04/2001: Wissenschaftlicher Mitarbeiter an der Sternwarte der Univ. Bonn (Drittmittel, DFG) seit 11/2001: Wissenschaftlicher Mitarbeiter an der Dr. Remeis Sternwarte, Bamberg (Univ. Erlangen-Nürnberg, Drittmittel, DLR) 156 ACKNOWLEDGEMENTS So finally, after a long voyage through astronomy, one major personal goal is now achieved – the PhD. thesis. This would not have been possible without the help of my dear colleagues and friends in Bonn, Bamberg and elsewhere. First of all I have to thank Prof. Dr. Klaas S. de Boer for giving me the subject, advising me, agreeing to be the supervisor and referee of my work. I would also like to thank Klaas for the way he leads the Sternwarte, the degree of freedom he gave us, and the advice that we all often profited from. Many thanks to Prof. Dr. Wilhelm Seggewiß for being the co-advisor of this thesis. I thank Wilhelm for granting me observing time at Hoher List Observatory, for the discussions about astronomy, the Eifel area, the early days of institutions like ESO/Calar Alto and many other things – and last but not least for the interest in my Hoher List Gallery of Astronomical Images. I am deeply indebted to Prof. Dr. Uli Heber for giving me the DLR DIVA position and such a wealth of freedom that I could complete my thesis without compromise. Thanks for many fruitful discussions about hot stars and keen interest in my work. Also thanks for the three talks for which he invited me to Bamberg. The DFG for granting me the PhD project (Bo779/21) and several Calar Alto trips. The DLR for my current position (grant No. 50 QD 0102). I thank the Astronomische Gesellschaft for the travel aids for the meetings in Munich (JENAM) and Napoli. (For the less formal part, starting here, names are given without academic titles.) Michael Geffert for the astrometric software and a great deal of advice on astrometric questions and everyday’s lively banter. Heinz Edelmann for sharing his data on the HE stars and completing this project together with me. Ralf Napiwotzki for supplying me with spectral models and software. I have to thank Ralf for many other things: for the many discussions we had about hot stars, Galactic structure, and many other subjects, for the many pubs we went to and the many beers we consumed in those pubs, the many people he introduced me to. He showed me that astronomy is more than just a science – it is fun! My impression of German geography1 has certainly changed since I met you. ESO and DSAZ (operated by the Max-Planck Institute for Astronomy, Heidelberg, jointly with the Spanish National Commission for Astronomy) for granting me observing time at their observatories at Calar-Alto and La Silla. The people on the two mountains for their help: Uli Thiele, Felipe Hoyo, Manolo Alises, Jesus Aceituno, Manuel Aguirre, Ana Guijarro, Herr Frahm, Herr Wilhelmi and others on Calar-Alto, Patrick Francois, Ivo Saviane, Francesco Selman, Tom Augusteijn, Hermann Böhnhardt, Lisa Germany et al. on La Silla. Further thanks go to Valerio (the famous Calar-Alto Taxi driver) and the people at the ESO guest house and Christa Euler for the travel reservations. Tom Marsh (Southampton) for kindly supplying me with new systemic radial velocities of sdB binaries. Marcio Catelan (Universidad Catolica de Santiago) for his interest in my work and enthusiasm in helping me with my FONDECYT applications, and being my “investigador patrocinante”. 1 now I know that South-Germany starts at the Eider river. 157 ACKNOWLEDGEMENTS René Méndez for offering me the 3 month stipend at ESO/Vitacura in 2003. Steffen Mieske, Marcio Catelan, Michael Hilker, Matı́as & Carola Gomez for various pub evenings in Santiago. Kyril Panov and Wilhelm Seggewiss for arranging an opportunity for observing trips to Rozhen Observatory, Bulgaria in 1996-1998. The staff of the observatory for their support. The organisers and participants of the conferences in Liège (1999), Puebla (2001) and Napoli (2002) (and those of the AG-Tagungen, GK-meetings etc.) for the great job they did in organising these memorable meetings. A special thanks to Stefan Dreitzler for the organisation of the mini symposium during the JENAM-Meeting in 2001. And once again Klaas for giving me the opportunity to go to Puebla. Hans-Jörg Hagen, Dieter Engels and colleagues at Sternwarte Hamburg, for giving me access to the HS-archive and assisting me during my stay in Hamburg. Our system administrators Jochen M. Braun, Oliver-Mark Cordes, Horst Drechsel, Georg Drenkhahn, Günter Lay, Ole Marggraf, Uwe Nass, Rainer Sterzer and Jean-Marie Will for keeping (at least) one eye on the computer system of the Sternwarte. Many thanks to the people of the workshop at Hoher List, namely Martin Polder, Günter Klink and Franz Josef Willems for keeping the Telescopes in good shape, the dewars full, taking me with the “Dienstwagen” to Gerolstein and Daun, some tools, and the newest news of what’s going on at the HoLi. Klaus Reif (also known as “Shutter Klaus”) and the CCD team, i.e. Henning Poschmann, Philipp Müller and Christian Brauer for the CCDs and shutters, and the quick help if something went wrong again. The office staff, Elisabeth Danne, Alice Lindner, Kathy Schrüfer and Edith Day, for helping me with so many administrative things; without this help most of would certainly have become hopelessly stuck in the pitfalls of university and public service bureaucracy. Lindsay King, Andrea Dieball, Ole Marggraf, Manuel Metz, Jörg Sanner, Philip Willemsen for reading parts of my work. Peter Schneider for bringing in a “wind of change” when he moved here with his group, and many new ideas. Oliver Cordes for the fun we had during our observing trips to Calar-Alto and on the HoLi, the red wine we consumed, and the holidays we has in Andalucia. Ole Marggraf (Taxi Ole) for driving me home so many times after parties. And to both for helping me with my computer problems (apart from their sysadmin duties). Jörg Sanner and Andrea Dieball for accompanying me over a long time in the Sternwarte. Lindsay King for so many things, e.g. advice concerning applications/jobs, clothes (for job interviews). Stay the way you are! Philip Willemsen and Thorsten Kaempf for asking me 233,000 questions (and still believing that I know something). Klaus Bagschik for discussions about photography and much more, “Frau Generalstäbin”, Steffi Mühle for organising three (shortly it will be four) new years “conventions” at Hoher List. Wolfgang Braun for his chocolate. Hanne Hämmerle for her happy and lively “Bavarian2 ” nature, and the way she made us keep the institute kitchen tidy. The board game gang, namely Olli Cordes, Ole Marggraf, Jörg Sanner, Thomas Erben, Wolfgang Braun, Martina Kleinheinrich, Hanne Hämmerle, Klaus Bagschik, Steffi Mühle and all the others. The current and former co-inmates of office 3.08: Jochen Braun, Wolfgang Braun, Steffen Mieske, Philipp Richter, Manuel Metz, Andrea Kayser (and countless school practicants of Michael G.). 2 I know you’re a Swabian, but from Bavarian Swabia. 158 Thanks to the Xblast-players: Olli, Ole, Jörg, Jochen, Benny, Philipp, Dominik, Pfennich (Mark), Holger, Thomas P., Gerd-Hans, Dimitris, Manuel, Wolfgang, Matı́as and “Lichtgestalt” (Hartmut). The other people I met during my time at the Sternwarte, namely: Yolanda Aguilar Sánchez, Thilo Bauer, Thomas Bausen, Hartmut Bluhm, Robert Breinhorst, Peter Brosche, Chen Li, Till Credner, Nadja Dencheva, Boris Dirsch, Michaela Döllinger, Hildegard Domgörgen, Justina Engelmann, Edward H. Geyer, Matı́as Gomez, Dimitris Gouliermis, Eva K. Grebel, Benjamin (Benny) Greiner, Daniel-Rolf Harbeck, Fabian Heitsch, Michael Hilker (and Yaneth), Pascal Hirsch, Peter Kahabka, Andrea Kayser, Markus Kissler-Patig, Sven Kohle, Ralf Kohley, Gerd-Hans Krämer, Søren Larsen, Gisela Maintz, Michael Odenkirchen (thanks for the software for the orbits etc.), Amelia OrtizGil, Thomas H. Puzia, Klaus Reif, Tom Richtler, Dominik Rosenbaum, Holger Schmidt, Jelena H. Schmidt, Jürgen Schmoll, Jörg D. Schumann, Oliver Schwarz, Britta Seifert, Jörg Stegert, Armin Theissen, Hans-Joachim Tucholke, Bernhard Wierig, Marc Wittlich, and Johannes Wünsch. It has been a good feeling that everyone would spend a few minutes for questions and discussions at any time. The Dr. Remeis Sternwarte wouldn’t be half as friendly and nice place without the “Remeisen”, namely Michael Bauer, Irmela Bues, Horst Drechsel, Heinz Edelmann, Sigi Falter, Uli Heber, Christian Karl, Thorsten Lisker, Sabine Moehler, Ralf Napiwotzki, Simon O’Toole, Eva-Maria Pauli, Zorica Pavcovic, Markus Ramspeck, Rainer Sterzer. Thanks also for the many nice evenings we spent in Bamberg pubs. Special thanks to my Bamberg office mates Christian Karl, Zorica Pavcovic and Thorsten Lisker. The “lens group”: Lars Bähren, Maruša Bradač (keep on photographing), Douglas I. Clowe (“Uhhuh”, and the explanations of how the US system really works), Oliver Czoske, Jörg Dietrich (Thank you for our combined (birthday/farewell) party on the roof), Thomas Erben (also for informations about the EIS Survey and wide field imaging in General), Marco Hetterscheidt, Lindsay J. King, Martin Kilbinger, Martina Kleinheinrich, Marco Lombardi (thank you for the pizza and the ESOtemplate), Joan-Marc Miralles, Abouzar Najafi, Peter Schneider, Mischa Schirmer (see also Thomas Erben) and Patrick Simon. Susanne Hüttemeister for the UGC 2855/66 project, and Eva Manthey for reducing the data. Christian Henkel for his help in finding a place to print this thesis. Bernhard and Susanne Wierig for their help in one of the more difficult times. Ralf Belger, Angela Kreuels, Hans-Jörg Dirks and Mariana Panova for their friendship (even if mostly per email nowadays). My family. This research has made use of NASA’s Astrophysics Data System Bibliographic Services (ADS), the Centre de Données Astronomiques Stellaires (CDS) data archive in Strasbourg. I have always been afraid of forgetting someone in the acknowledgements. I hope I did not. Probably I did. Forgive me! 159