Tagging Boosted Top Quarks and Higgs Bosons in ATLAS

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1 agging Boosted op Quarks and Higgs Bosons in ALAS BOOS 05, University of Chicago Matt LeBlanc, on behalf of the ALAS Collaboration 0 th -4 th August 05

2 Overview Run-I op agging: ALAS-CONF agging echniques Data/MC Comparisons E ciency and Fake Rate Measurements in Data Performance Comparison in MC Run-II H! b b agging: AL-PHYS-PUB Developing the tagger Systematics W tagging and W/Z discrimination covered by Julien! Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS / 9

3 op agging Methods Comparison of di erent ALAS Run I top taggers: Substructure Cut-Based HEPopagger Shower Deconstruction 3 H04 q b W t t W + l + b ν q'. N-Subjettiness; haler & Van ilberg. Plehn, Salam, Spannowsky, akeuchi et al. 3. Soper & Spannowsky Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 3 / 9

4 Selection Events / 50 GeV ALAS Preliminary - s = 8 ev R=.0 rimmed anti-k t Data tt (matched) tt (not matched) Single top W+jets Exp. uncertainty Mod. uncertainty Lepton+jets t t selection. b-tagged jets. ry tagging large-r jet away from lepton. Decompose t t into truth-matched (signal) and non-matched (background) components. Events / 0 GeV ALAS Preliminary - s = 8 ev R=.0 rimmed anti-k t Data tt (matched) tt (not matched) Single top W+jets Exp. uncertainty Mod. uncertainty Large-R jet mass [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 4 / 9

5 Substructure-Based op agging Events / 0 GeV ALAS Preliminary - s = 8 ev rimmed Anti-k t R=.0 Data tt (matched) tt (not matched) Single top W+jets Z + jets Exp. uncertainty Mod. uncertainty Events / Large-R jet [GeV] Data tt (matched) tt (not matched) Single top W+jets Z + jets Exp. uncertainty Mod. uncertainty d ALAS Preliminary - s = 8 ev rimmed Anti-k t R=.0 Events / 0 GeV 700 Data tt (matched) 600 tt (not matched) Single top W+jets 500 Z + jets 400 Exp. uncertainty Mod. uncertainty ALAS Preliminary - rimmed Anti-k t W' op agger s = 8 ev R= Large-R jet Mass [GeV] Large-R jet τ 3 Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 5 / 9

6 HEPopagger H explained elsewhere (cf. orben s talk later today, and the CMS talk by Justin from yesterday.). Parameters used here: m cut = 50 GeV, N filt =5, R max filt =5, f W = m W ( ± ). Operates at lower p than other taggers (C/A p > 00 GeV). Events / ALAS Preliminary - s = 8 ev HEPopagger, C/A R=.5 Data tt (matched) tt (not matched) Single top Exp. uncertainty Mod. uncertainty Events / 7 GeV 00 ALAS Preliminary s = 8 ev HEPopagger, C/A R=.5 Data tt (matched) tt (not matched) Single top Exp. uncertainty Mod. uncertainty.5. op quark candidate arctan(m /m ) 3. op quark candidate arctan(m /m ) op quark candidate mass [GeV] op quark candidate mass [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 6 / 9

7 Shower Deconstruction Calculate, for each subjet of the input, the probability that the subjet is associated with a certain source of radiation (ISR, light quark, etc.).... for signal (top) and background (QCD).... for all possible combinations of radiation sources and subjets. Discriminant is ratio of sum of signal probabilities to sum of background probabilities. Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 7 / 9

8 Shower Deconstruction Events / 40 GeV ALAS Preliminary - s = 8 ev Anti-k t R=.0 C/A R= subjets Data tt (matched) tt (not matched) Single top W+jets Exp. uncertainty Mod. uncertainty Events ALAS Preliminary - s = 8 ev Data tt (matched) tt (not matched) Single top W+jets Exp. uncertainty Mod. uncertainty Anti-k t R=.0 C/A R= subjets p > 350 GeV Leading subjet p [GeV] SD log(χ) Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 8 / 9

9 Performance Comparison in Simulation Characterising di erent taggers in terms of their tagging e background rejection. ROC curves made in many p bins. Which one is best?... this depends on what you want to do, of course! ciency & Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 9 / 9

10 Performance Comparison in Simulation Background rejection 3 0 SD (anti-k.0) t ALAS Preliminary SD (anti-k.0) WP Simulation s = 8 ev t SD (C/A.) GeV < p < 400 GeV HEPopagger (C/A.5) d trimmed mass agger V (scan d 3 ) W' agger (scan τ 3 ) d 3 0 τ 3 agger I agger II 0 agger III agger IV agger V W' op agger agging efficiency Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 0 / 9

11 Performance Comparison in Simulation Background rejection 3 0 SD (anti-k.0) t ALAS Preliminary SD (anti-k.0) WP Simulation s = 8 ev t SD (C/A.) GeV < p < 000 GeV HEPopagger (C/A.5) d trimmed mass agger V (scan d 3 ) W' agger (scan τ 3 ) d 3 0 τ 3 agger I agger II 0 agger III agger IV agger V W' op agger agging efficiency Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS / 9

12 HEPopagger04 Also studied here: H04, a modified approach to the H method which uses anti-k R = jets as inputs, rather than C/A R =.5. Designed for busy environments, e.g. pp! H + tb! tb t b R=) Energy overlap / Energy(Anti-k ALAS Preliminary Simulation - s = 8 ev R(C/A R=.5, Anti-k R=) R=) Pairs Number of (C/A R=.5, Anti-k op quark candidates / 5 GeV 400 ALAS Internal Ldt = 0.3 fb HEPopagger04 s=8 ev Data tt (matched) tt (not matched) Single top Exp. uncertainty Mod uncertainty op quark candidate mass [GeV] op quark candidate mass [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS / 9

13 HEPopagger04 Also studied here: H04, a modified approach to the H method which uses anti-k R = jets as inputs, rather than C/A R =.5. Designed for busy environments, e.g. pp! H + tb! tb t b Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 3 / 9

14 op agging E ciency Measurement E ciency calculated as the fraction of tagged to preselected large-r jets. For measurement in data, backgrounds are statistically subtracted. For measurement in simulation, only truth-matched t t is considered.! f data = N tag data N tag t t unmatched N tag non-t t N data N t t unmatched N non-t t! f MC = N tag MC N MC Unfortunately, systematic uncertainties do not fully cancel in this ratio! () () Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 4 / 9

15 op agging E ciencies in Data agging efficiency agging efficiency ALAS Preliminary - Data - BG s = 8 ev agger III rimmed Anti-k t R=.0 η < 0.7 correlated data-mc systematic uncertainty ALAS Preliminary - correlated data-mc systematic uncertainty η < 0.7 s = 8 ev Data - BG HEPopagger C/A R= agging efficiency agging efficiency ALAS Preliminary - Data - BG s = 8 ev W' op agger rimmed Anti-k t R=.0 η < 0.7 correlated data-mc systematic uncertainty ALAS Preliminary - η < 0.7 s = 8 ev correlated data-mc systematic uncertainty Data - BG R=.0 SD anti-k t C/A R= subjets Large jet p [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 5 / 9

16 op agging Fake Rates in Data. Fake rates measured in QCD-enriched sample with small top contamination. Mistag rate ALAS Preliminary - Data s = 8 ev agger III rimmed Anti-k t R=.0 Mistag rate ALAS Preliminary - Data s = 8 ev W' op agger rimmed Anti-k t R= Mistag rate.5 - ALAS Preliminary s = 8 ev HEPopagger, C/A R=.5 Data Pythia Mistag rate ALAS Preliminary - s = 8 ev Data Pythia SD anti-k t R=.0 C/A R= subjets Large jet p [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 6 / 9

17 agging Boosted H! b b Want to identify boosted H! b b reconstructed as trimmed anti-k t R =.0 jet. Backgrounds considered: Multi-jet events. Boosted, hadronically decaying top quarks. hree handles for S/B discrimination: Heavy flavour content of large-r jet. Large-R jet mass. Large-R jet substructure. ruth Higgs Acceptance ALAS Simulation Preliminary anti-k t R=.0 jets rimmed (f =0.05, R =) cut sub jet p Higgs p, true b p, true jet > 50 GeV, η <.0 det Higgs > 50 GeV, η <.0 true b > 5 GeV, η <.5 true ruth Higgs p [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 7 / 9

18 b-agging in Large-R Jets Find leading pair of anti-k t R = track jets ghost-associated with a large-r jet (recall Michael s talk from yesterday). Attempt to tag track jets with MVc0 algorithm. Study single, double and one-tight-one-loose scenarios. Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 8 / 9

19 Mass Window and Muon-in-b-Jet Correction Before setting mass window, can increase mass resolution by correcting for semi-leptonic b hadron decays to muons. Arbitrary Units ALAS Simulation Preliminary anti-k t R=.0 jets rimmed (f =0.05, R =) cut sub η <.0 det Double 70% WP Before µ-corr 350 < p < 500 GeV After µ-corr 350 < p < 500 GeV Before µ-corr 000 < p < 500 GeV After µ-corr 000 < p < 500 GeV Mass [GeV] Arbitrary Units Arbitrary Units ALAS Simulation Preliminary anti-k t R=.0 jets rimmed (f =0.05, R =) cut sub 350 < p < 500 GeV, η <.0 det Double 70% WP Higgs-jet Multi-jet Hadronic top jet ALAS Simulation Preliminary anti-k t R=.0 jets rimmed (f =0.05, R =) cut sub 000 < p < 500 GeV, η <.0 det Double 70% WP Mass [GeV] Higgs-jet Multi-jet Hadronic top jet Mass [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 9 / 9

20 Including Substructure Information Examined performance of tagger with 68% mass window and b-tagging WP fixed at 70% e ciency, when scanning additionally on one of three jet substructure variables: D =, C = and wta. Performance similar for all variables considered, D = provides slightly better improvement overall. Arbitrary Units ALAS Simulation Preliminary anti-k t R=.0 jets rimmed (f =0.05, R =) cut sub p > 50 GeV, η <.0 det Double 70% WP + 68% mass window Higgs-jet Multi-jet Hadronic top jet Multi-jet rejection ALAS Simulation Preliminary anti-k t R=.0 jets rimmed (f =0.05, R cut 350 < p < 500 GeV, η 68% mass window =) sub <.0 det Double b-tagging β= D + ( b-tags at 70%) β= C + ( b-tags at 70%) τ + ( b-tags at 70%) wta τ + ( b-tags at 70%) β= D Higgs-jet efficiency Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 0 / 9

21 Benchmark H! b b Selections Multi-jet rejection ALAS Simulation Preliminary anti-k t R=.0 jets rimmed (f =0.05, R =) cut sub η <.0 det b-tagging at 70% WP b-tags no mass window b-tags 90% mass window b-tags 68% mass window b-tags β= 68% mass window + D Higgs-jet efficiency.4. ALAS Simulation Preliminary anti-k t R=.0 jets rimmed (f =0.05, R =) cut sub η <.0 det b-tagging at 70% WP b-tags no mass window b-tags 90% mass window b-tags 68% mass window b-tags β= 68% mass window + D Hadronic top rejection ALAS Simulation Preliminary anti-k t R=.0 jets rimmed (f =0.05, R =) cut sub η <.0 det b-tagging at 70% WP b-tags no mass window b-tags 90% mass window b-tags 68% mass window b-tags p [GeV] β= 68% mass window + D p [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS / 9 p [GeV]

22 Systematic Uncertainty Estimates on H! b b agging Loose Medium ight e ciency ± ± ±0.05 Multi-jet rejection Inclusive 60 ± ± ±0 Light-flavor O(0 5 ) O(0 5 ) O(0 6 ) cl O(0 3 ) O(0 3 ) O(0 4 ) bl O(0 ) O(0 ) O(0 3 ) bc O(0) O(0) O(0 ) cc 50 ± ±30 00 ±900 bb ± 9 ±4 3 ±9 Hadronic top rejection Inclusive 67 ±7 0 ±30 60 ±50 bl 360 ± ± ±600 bc 4 ±6 39 ± 53 ±6 Higgs-jet efficiency Relative Uncertainty Higgs-jet efficiency ALAS Simulation Preliminary anti-k t R=.0 jets Efficiency rimmed (f =0.05, R =) Jet Scale cut sub η <.0 Jet Resolution det Loose Selection b-tagging otal p [GeV] ALAS Simulation Preliminary anti-k t R=.0 jets Efficiency rimmed (f =0.05, R =) Jet Scale cut sub η <.0 Jet Resolution det ight Selection b-tagging otal For loose working point, b-tagging uncertainties largest. With tigher working points, jet scale & resolution uncertainties increase. Relative Uncertainty p [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS / 9

23 Concluding Remarks horough performance comparisons for several di erent methods of top-tagging utilized by ALAS in run I. New in-situ e ciency and fake rate measurements in data for di erent taggers: substructure-based, H and SD. Performance of H04 studied in the context of a high jet multiplicity final state (charged Higgs search). ROC curve sets comparing tagger performance in simulation produced in many p bins. H! b b tagger developed for use in run-ii analyses. agging e ciency and background rejection for QCD multijet and t t backgrounds evaluated in simulation. Expected performance studied in terms of three benchmark selections. Estimates of systematics based on extrapolations from Run I. Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 3 / 9

24 Supplemental Material Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 4 / 9

25 Performance Comparison Background rejection 3 0 SD (anti-k.0) t ALAS Preliminary SD (anti-k.0) WP Simulation s = 8 ev t SD (C/A.) GeV < p < 600 GeV HEPopagger (C/A.5) d trimmed mass agger V (scan d 3 ) W' agger (scan τ 3 ) d 3 0 τ 3 agger I agger II 0 agger III agger IV agger V W' op agger agging efficiency Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 5 / 9

26 Performance Comparison Background rejection 3 0 SD (anti-k.0) t ALAS Preliminary SD (anti-k.0) WP Simulation s = 8 ev t SD (C/A.) GeV < p < 500 GeV HEPopagger (C/A.5) d trimmed mass agger V (scan d 3 ) W' agger (scan τ 3 ) d 3 0 τ 3 agger I agger II 0 agger III agger IV agger V W' op agger agging efficiency Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 6 / 9

27 Substructure-Based op agging: Forward agging E ciency in Data. agging efficiency agging efficiency ALAS Preliminary - s Data - BG = 8 ev agger I rimmed Anti-k t η < 0.7 R=.0 correlated data-mc systematic uncertainty agging efficiency ALAS Preliminary - s Data - BG = 8 ev agger II rimmed Anti-k t η < 0.7 correlated data-mc systematic uncertainty ALAS Preliminary - s Data - BG = 8 ev agger IV rimmed Anti-k t η < 0.7 R=.0 correlated data-mc systematic uncertainty agging efficiency ALAS Preliminary - s Data - BG = 8 ev agger V rimmed Anti-k t η < 0.7 R=.0 correlated data-mc systematic uncertainty agging efficiency ALAS Preliminary - s Data - BG = 8 ev agger III rimmed Anti-k t η < 0.7 R=.0 correlated data-mc systematic uncertainty R=.0 agging efficiency ALAS Preliminary - s Data - BG = 8 ev W' op agger rimmed Anti-k t η < 0.7 R=.0 correlated data-mc systematic uncertainty Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 7 / 9

28 Substructure-Based op agging: Forward agging E ciency in Data. agging efficiency ALAS Preliminary - Data - BG s = 8 ev agger III rimmed Anti-k t R= < η <.0 correlated data-mc systematic uncertainty Large-R jet p [GeV] agging efficiency ALAS Preliminary - Data - BG s = 8 ev W' op agger rimmed Anti-k t R= < η <.0 correlated data-mc systematic uncertainty Large-R jet p [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 8 / 9

29 HEPopagger & SD: Forward agging E Data ciencies in agging efficiency ALAS Preliminary - s = 8 ev correlated data-mc systematic uncertainty 0.7 < η <.0 Data - BG HEPopagger C/A R= agging efficiency ALAS Preliminary - s = 8 ev correlated data-mc systematic uncertainty 0.7 < η <.0 Data - BG R=.0 SD anti-k t C/A R= subjets Large-R jet p [GeV] Matt LeBlanc (UVic) agging Boosted op Quarks and Higgs Bosons in ALAS 9 / 9

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