lνlνlν
Transcription
lνlνlν
Measurement of the WWW ∗ → lνlνlν final state √ in pp collisions at s = 8 TeV with the ATLAS detector Martina Pagacova University of Freiburg Graduiertenkolleg 9th July 2014 Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 1 / 21 Introduction 1 Introduction 2 Overview of analysis 3 Signal regions 4 Fake lepton background estimation 5 Conclusion&Plans Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 2 / 21 Introduction Standard Model of particle physics (SM) I I I a gauge theory based on 3 fundamental symmetries SU (3)C × SU (2)L × U (1)Y very successful in describing currently available experimental data not a complete theory explaining all physical phenomena (dark matter, gravity, ...) interactions I electromagnetism (γ) I weak interaction (W ± , Z ) I strong interaction (g) elementary particles I 6 quarks u, c, t, d, s, b I 6 leptons (e, νe , µ, νµ , τ, ντ ) EWSB I spontaneous electroweak symmetry breaking via BEH mechanism Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 3 / 21 Introduction Standard model Standard Model of particle physics (SM) I I I Electroweak SM a gauge theory based on 3 fundamental symmetries SU (3)C × SU (2)L × U (1)Y very successful in describing currently available experimental data not a complete theory explaining all physical phenomena (dark matter, gravity, ...) interactions I electromagnetism (γ) I weak interaction (W ± , Z ) I strong interaction (g) elementary particles I 6 quarks u, c, t, d, s, b I 6 leptons (e, νe , µ, νµ , τ, ντ ) EWBS I spontaneous electroweak symmetry breaking via BEH mechanism Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 4 / 21 Introduction QGC Processes with quartic gauge boson couplings (QGC) What are they? I I processes where a QGC vertex contributes predicted by SM but not yet observed How can they be measured? I two classes of QGC processes triple gauge boson production (e.g. WWW ) vector boson scattering (VBS) What can we learn from measuring them? I I I observe the SM QGC processes test EWSB and Higgs properties constrain anomalous Quartic Gauge Couplings (aQGC) News! I I first evidence of a process containing VVVV vertex in EW VBS W ± W ± → W ± W ± same-sign W ± W ± jj analysis: arXiv:1405.6241 Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 5 / 21 Introduction aQGC Look at physics beyond the SM with QGC: aQGC I assume SM is a low energy approximation of a more complex one I consider effective Lagrangian (SM + higher-dimension operators) Leff = LSM + X X c (d ) i dim d i Λd −4 (d ) Oi B can parametrize low energy effects from beyond SM physics model independent, complementary to direct searches generally requires additional unitarization (killing model independence) I set limits on relevant effective aQGC parameters B B Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 6 / 21 Overview of analysis 1 Introduction 2 Overview of analysis 3 Signal regions 4 Fake lepton background estimation 5 Conclusion&Plans Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 7 / 21 Overview of analysis Analysis targets Analysis targets I measurement WWW ∗ → lνlνlν production cross section (l = e, µ) I includes H → WW signal I setting limits on anomalous Quartic Gauge Coupling (aQGC) SM cross-section W −W +W + W −W −W + Martina Pagacova (UNI Freiburg) @8TeV 4.95 fb 2.65 fb WWW ∗ → lνlνlν analysis @14TeV 11.42 fb 6.84 fb 09/07/2014 8 / 21 Overview of analysis Object selection Object selections ELECTRONS I I I I I I I I I I I MUONS Central electrons (author is 1 or 3) pT > 10 GeV |η| < 1.37 or 1.52 < |η| < 2.47 Tight++ Object quality flag ET cone20/ET < 0.10 for pT > 20GeV ET cone20/ET < 0.07 for pT < 20GeV pT cone20/pT < 0.04 |d0 /σ (d0 )| < 3.0 |z0 sin (θ)| < 0.4mm No duplicate µ or e within ∆R < 0.1 I I I I I I I I I I tight STACO Combined pT > 10 GeV |η| < 2.5 MCP ID Hits selection ET cone20/ET < 0.10 for pT > 20GeV ET cone20/ET < 0.07 for pT < 20GeV pT cone20/pT < 0.04 |d0 /σ (d0 )| < 3.0 |z0 sin (θ)| < 1.0mm No duplicate µ within ∆R < 0.1 JETS ETmiss Anti-kt 4 LC Topo Jets pT > 25GeV |η| < 4.5 |JVF| > 0.5 for jets with |η| < 2.4 and pT < 50GeV I No duplicate µ or e within ∆R < 0.2 I MET_RefFinal_STVF reconstructed from METUtility I propagate leptons smearing energy scale I propagate jet calibration I I I I Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 9 / 21 Signal regions 1 Introduction 2 Overview of analysis 3 Signal regions 4 Fake lepton background estimation 5 Conclusion&Plans Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 10 / 21 Signal regions Signal region definitions Event selection I I I I exactly 3 leptons passing our selection requirements Z -mass window → reduce WZ and ZZ background b-jet veto → reduce t t̄ contribution ETmiss → coming from leptonic W decay Optimization I done separately for 3 regions according to the number of lepton pairs of same flavor and opposite charge SFOS B B 0SFOS, 1SFOS (eeµ + µµe), 2SFOS (eee + µµµ) categorization driven by main expected irreducible WZ background Signal regions Lepton pT ETmiss Z veto b-tagged jet veto Martina Pagacova (UNI Freiburg) 0SFOS 1SFOS 2SFOS pT > 20 GeV ETmiss > 41GeV ETmiss > 36GeV |mSFOS − mZ | > 15GeV 70% b-tagging efficiency operating point WWW ∗ → lνlνlν analysis 09/07/2014 11 / 21 Signal regions MC prediction in signal regions 0SFOS −→ 1SFOS −→ 2SFOS −→ Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 12 / 21 Fake lepton background estimation 1 Introduction 2 Overview of analysis 3 Signal regions 4 Fake lepton background estimation 5 Conclusion&Plans Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 13 / 21 Fake lepton background estimation Fake leptons Fake lepton background Source of fake leptons I I mis-reconstructed leptons produced in light, heavy flavor jets or conversions Background estimation I I I reducible background dominated by Z +jets, t t̄ and single top estimated from generalised matrix method (developed by ATLAS SUSY group: arXiv:1404.2500) Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 14 / 21 Fake lepton background estimation Generalised MxM Generalised MxM ,→ fully data-driven method Measurable quantities NT # tight leptons NL # loose leptons Physical quantities NR # real leptons NF # fake leptons Real and fake lepton efficiencies ϸreal , ϸfake I I relate NT /L with NR/F measured from DATA in signal-free regions of phase space Weight w I applied for every tight/loose combination separately Example I event with 3 pre-selected leptons eeµ with configuration TLL I MxM will produce the following Input eeµ, TLL −→ Martina Pagacova (UNI Freiburg) Output LLL ··· wLLL eL eL µL Fails cuts wLTT wTTT eL eT µT eT eT µT Fails cuts Passes cuts ··· LTT TTT WWW ∗ → lνlνlν analysis 09/07/2014 15 / 21 Fake lepton background estimation Generalised MxM Loose/tight selection I I loose leptons: pass all pre-selection requirements & fail any of the signal requirements tight leptons: satisfy signal requirements in addition to pre-selected requirements Electron definition Muon definition Pre-selected electrons I I I I I I Pre-selected muons I I I I I Central electrons (author is 1 or 3) pT > 10 GeV |η| < 1.37 or 1.52 < |η| < 2.47 Medium++ Object quality flag No duplicate µ or e within ∆R < 0.1 Signal muons Signal electrons I I I I I I Tight++ ET cone20/ET < 0.10 for pT > 20GeV ET cone20/ET < 0.07 for pT < 20GeV pT cone20/pT < 0.04 |d0 /σ (d0 )| < 3.0 |z0 sin (θ)| < 0.4mm Martina Pagacova (UNI Freiburg) tight STACO Combined pT > 10 GeV |η| < 2.5 MCP ID Hits selection No duplicate µ within ∆R < 0.1 WWW ∗ → lνlνlν analysis I I I I I ET cone20/ET < 0.10 for pT > 20GeV ET cone20/ET < 0.07 for pT < 20GeV pT cone20/pT < 0.04 |d0 /σ (d0 )| < 3.0 |z0 sin (θ)| < 1.0mm 09/07/2014 16 / 21 Fake lepton background estimation Generalised MxM Distributions with exactly 3 tight leptons I event selection Pre-selection cuts GRL trigger = 3 selected leptons with pT > 10GeV trigger matching jet cleaning data quality I generalised MxM used to estimate B W +jets, singleTop, WW (from Diboson (WW +WZ +ZZ )), t t̄ (from ttbar (t t̄+t t̄V ) B fake leptons ⇓ Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 17 / 21 Fake lepton background estimation Generalised MxM Validation of fake background first attempt fake leptons estimated from MC (left) and from generalised MxM (right) 107 ATLAS Preliminary ∫L dt = 20.3 fb , -1 s = 8 TeV 106 105 SD3PDSpecial_3Boson_fakes/PtLepSignal_TTT Data (13756.00) Diboson (6953.79) Z (4462.48) DYg (1953.96) ttbar (520.06) Signal (57.00) Single Top (22.34) Triboson (11.10) W (0.00) 107 103 102 102 Overfl. Data: 217, MC: 0.00 104 10-1 20 2 40 60 80 100 120 140 pT signal leptons [GeV] (=3 tight lep) 1 20 40 -1 s = 8 TeV SD3PDSpecial_3Boson_fakes/PtLepSignal_TTT Data (13756.00) Fake leptons (10029.31) WZ (5483.33) ZZ (1464.28) ttbarZ (99.08) Signal (57.00) ttbarW (49.72) Triboson (11.10) 10 1 10-1 60 80 100 120 140 pT signal leptons [GeV] (=3 tight lep) Martina Pagacova (UNI Freiburg) ∫L dt = 20.3 fb , 105 103 1 ATLAS Preliminary 106 104 10 Data / Exp. 108 Overfl. Data: 217, MC: 0.00 108 Entries Entries I Data / Exp. I WWW ∗ → lνlνlν analysis 20 2 40 60 80 100 120 140 pT signal leptons [GeV] (=3 tight lep) 1 20 40 60 80 100 120 140 pT signal leptons [GeV] (=3 tight lep) 09/07/2014 18 / 21 Fake lepton background estimation Generalised MxM Comments on the distributions Left plot I I I fake lepton contribution estimated from MC samples fairly good DATA/MC agreement huge systematics Right plot I I I fake leptons are estimated from generalised MxM DATA/MC agreement not so good: fake leptons are over-estimated discrepancies well understood: real and fake rates borrowed from other analysis with different object selections (not optimal for our set up) Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 19 / 21 Conclusion&Plans 1 Introduction 2 Overview of analysis 3 Signal regions 4 Fake lepton background estimation 5 Conclusion&Plans Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 20 / 21 Conclusion&Plans Conclusion&Plans Conclusion I I I I I analysis set up signal regions defined generalised MxM implemented first validation plots with 3 tight leptons shown real and fake rates measurement ongoing Plans I I study charge misID contribution in 0SFOS start writing internal documentation of the analysis Thank you for attention! Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 21 / 21 BACKUP SLIDES Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 1 / 16 MC samples I I I I I I I I WWW: VBFNLO WW/WZ/ZZ: Powheg+Pythia8 ttbar: MC@NLO ttbarV: Alpgen+Jimmy W+jets: Alpgen+Jimmy single Top: MC@NLO VVV: Madgraph+Pythia Z+jets Z+gamma+Jets (Sherpa) Z+Jets inclusive (Sherpa): remove overlap with Sherpa Zgamma samples low mass (m < 40 GeV) Z+Jets (Alpgen): remove 40 < m < 60 GeV overlap Z+Jets+heavy flavor (Alpgen): remove light flavor overlap Note: same, new, outdated, updated Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 2 / 16 Event pre-selections I GRL data12_8TeV.periodAllYear_DetStatus-v61-pro14-02_DQDefects-00-01-00_PHYS_StandardGRL_All_Good I trigger Electrons: EF_e24vhi_medium1 or EF_e60_medium1 Muons: EF_mu24i_tight or EF_mu36_tight I three leptons exactly 3 leptons passing object quality selections I trigger matching at least one of selected leptons is matched to at least one of the required triggers and has an offline pT at least 1 GeVabove the trigger threshold I jet cleaning remove events with "Looser Bad" jets (all jets - not just those passing jet object selections) I data quality reject LAr Error and corrupted Tile events Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 3 / 16 Signal to background optimization: procedure I simultaneously maximize our signal yield and efficiency×purity ϸ·π = I I I S2 S + B σs 1 R Ldt variations performed on lepton pT , mT and ETmiss with thresholds from 15 to 75 GeV in steps of 20 GeV minimum lepton pT always kept at least above 20 GeV optimize separately in regions with pre-selection cuts and 0, 1, and 2 SFOS lepton pairs Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 4 / 16 Signal to background optimization: 0SFOS Most significant operating point pT1,2,3 > 20 ;mT > 0 GeV; ETmiss > 0 GeV + b-veto (70% b-jet efficiency operating point) Martina Pagacova (UNI Freiburg) S 3.15 ± .03 3.11 ± .03 WWW ∗ → lνlνlν analysis B 11.4 ± .9 6.9 ± .5 ϸ · π (10−3 ) 4.43 5.24 09/07/2014 5 / 16 Signal to background optimization: 1SFOS Most significant operating point pT1,2,3 > 20 ;mT > 0 GeV; ETmiss > 41 GeV + Z -veto w/ optimized mass window |mSFOS − mZ | > 15 GeV + b-veto (70% b-jet efficiency operating point) Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis S 4.32 ± .03 3.60 ± .03 3.55 ± .03 B 418 ± 4 57 ± 2 49 ± 2 ϸ · π (10−3 ) 0.288 1.38 1.55 09/07/2014 6 / 16 Signal to background optimization: 2SFOS Most significant operating point pT1,2,3 > 20 ;mT > 0 GeV; ETmiss > 36 GeV + Z -veto w/ optimized mass window |mSFOS − mZ | > 15 GeV + b-veto (70% b-jet efficiency operating point) Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis S 2.76.03 1.88 ± .02 1.85 ± .02 B 514 ± 7 49 ± 2 44 ± 1 ϸ · π (10−3 ) 0.00954 0.0451 0.0485 09/07/2014 7 / 16 Background composition in 0SFOS region I background composition study for region with no lepton pair SFOS performed I splitting into channels according to lepton charge composition could help +++/---: no signal, mainly WZ and ZZ bkg Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 8 / 16 Bkg sources in 0SFOS: WZ I approach events with lepton misID determined by looking for matched truth lepton within ∆R < 0.1 I outcome major contribution from real leptons WZ → lνττ (higher statistics needed) non negligible contribution from charge misID electrons I next steps request for new WZ MC filtered samples (ZZ and t t̄ as well) discussions with the e/gamma group about possible charge misID estimation technique classification ◦ all events x charge misID lepton events + other misID lepton events (fakes) samples ◦ WZ where Z → ee/µµ ◦ WZ where Z → ττ Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 9 / 16 Bkg sources in 0SFOS: t t̄ I approach I outcome events with lepton misID determined by looking for matched truth lepton within ∆R < 0.1 major contribution from real leptons t t̄ → W (lν )bW (lν )b+ leptonic B-meson decay 10 − 20% coming from fake lepton (jets faking leptons) ,→ fake definition differs from one in MxM where also non-isolated leptons are fakes classification ◦ all events x charge misID lepton events + other misID lepton events (fakes) Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 10 / 16 Fake rate measurement Fake rate f I I probability that a fake lepton satisfying pre-selected requirements pass also tight ones measured for each flavour separately in special control regions Control regions I our main source of fake leptons is Z +jets sample → following CRs definition is proposed similar to the ones defined by WZ analysis: https://cds.cern.ch/record/1663539 I CR1: Z + "fake" µ I exactly 2 signal electrons from Z → ee → TAG exactly 1 pre-selected muon → PROBE b-jet veto → to be closer to our SRs I CR2: Z + "fake" e exactly 2 signal muons from Z → µµ → TAG exactly 1 pre-selected electron → PROBE b-jet veto → to be closer to our SRs I CR1/CR2 tight denotes that the probe lepton passes also tight requirements Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 11 / 16 aQGC unitarization I I aQGC parametrized using fs0 and fs1 in linear implementation I unitarity violated already at LHC energies → unitarization needed form factor unitarization scheme applied in VBFNLO energy-dependent form factor suppressing amplitude 1 F (s ) = (1 + Λs2 )n I I FF 1 I ΛFF I n maximal scale satisfying real unitarity bound estimated using exponent n = 31 exponent to prevent breaking of unitarity n = 1 chosen for determining cross-sections and event generation1 Prescription from VBFNLO authors Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 12 / 16 aQGC unitarization II Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 13 / 16 FF reweighting: lepton pT distributions • black: aQGC • red: aQGC with FF • blue: SM Figure: W − W − W + Figure: W − W + W + I normalized to 20fb−1 Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 14 / 16 FF reweighting: W − W − W + I I event selection: lepton pT > 25/10/10GeV, ETmiss > 25GeV x-axis: fs0 in 10−9 GeV −4 / y-axis: fs1 in 10−9 GeV −4 Event yield w/o FF (SM: 4.8 events) without FF with FF Acceptance×efficiency w/o FF with FF without FF Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 15 / 16 FF reweighting: W − W + W + I I event selection: lepton pT > 25/10/10GeV, ETmiss > 25GeV x-axis: fs0 in 10−9 GeV −4 / y-axis: fs1 in 10−9 GeV −4 Event yield w/o FF (SM: 9.1 events) without FF with FF Acceptance×efficiency w/o FF with FF without FF Martina Pagacova (UNI Freiburg) WWW ∗ → lνlνlν analysis 09/07/2014 16 / 16