Jet tagging with ATLAS for discoveries in Run II
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1 Jet tagging with ATLAS for discoveries in Run II Ayana Arce (Duke University) November 5 th 2014
2 The Large Hadron Collider : E CM : TeV m H = /- 0.4 (ATLAS) m H = /- 0.3 (CMS) : E CM : TeV???
3 Discoveries at the LHC dark matter/low EWSB scale new physics The LHC is prepared to find: top partners superpartners (squark/gluino) new gauge couplings extra dimensions
4 Inner tracker η < 2.5 σ(p T )/p T = 0.05% p T /GeV + 1% EM Barrel/Endcap η < 3.2 σ(e)/e = 10%/ (E/GeV) Forward Calorimeter 3.0 < η < 4.9 σ(e)/e = 100%/ E Hadronic 0 < η < < η < 3.2 σ(e)/e = 50%/ E the ATLAS detector
5 Overview What s left to discover in Run II? Why jets? Why now? Jet substructure tagging experimental challenges + solutions Run I constraints on models of new physics using substructure tags Outlook
6 Prospects for discoveries in Run II
7 Probing the electroweak scale in Run I
8 Probing electroweak symmetry breaking in Run I
9 Beyond the electroweak scale
10
11
12 Lessons from Run I Higgs mass requires us to study a variety of decays: large branching fraction to bb Searches for exotic di-higgs, etc. require fermionic decay channels Next searches must probe multi-tev mass scales large pt for final-state particles in decay parton luminosity requires large acceptance in searches Hadronic decays and boosted object
13 Quigg: Looking towards Run II We will probe higher masses/boosts at the same luminosity
14 Jet substructure at ATLAS
15 Hadronic measurements at ATLAS EM Barrel/Endcap η < 3.2 : δφ ~ σ(e)/e = 10%/ (E/GeV) Hadronic 0 < η < 1.7: : δφ ~ < η < 3.2 : δφ ~ 0.1 σ(e)/e = 50%/ E
16 Hadronic reconstruction perturbative shower suggests iterative, pairwise merging algorithms: jet reconstruction
17 Jet reconstruction stable hadrons Calorimeter jet Calorimeter cells Truth jet jets iteratively combine closest pairs of particles distance = min(p Tk ) (ΔR/R max ) topological clusters
18 Jet constituent observable moments: calculations jet mass average jet charge m 2 = (Σ E i ) 2 (Σ p i ) 2 jet functions from fragmentation functions
19 Krohn et. al. Jet Charge at the LHC (2012) Boost2012 Report, EPJC 74 (2014) Jet constituent observables: parton shower jet charge top jet mass
20 Jet constituent calibration Cluster constituents calibrated to local hadron scale Substructure moments re-calibrated at jet level
21 Substructure-based tagging
22 Interesting particles are color singlet Color singlet Color octet
23 Charge conservation is powerful
24 LHC backgrounds are gluey
25 Gallicchio and Schwartz, PRL107 (2011) q/g tagger Sensitive variables Modeling Color factor (g=3 vs. q=9/4) in substructure moments leads to many sensitive variables
26 High p T BG are mostly light partons
27
28 Thaler, Van Tilburg (2011) Butterworth, Cox, Forshaw (2002) top/w tagging variables Splitting scale ~(m/2) 2 n-subjettiness ~ 0 typically combined in a tag
29 Top-tagging performance
30 W-tagging correlations
31 W-tagging performance
32 Challenges in substructure tagging
33 the LHC environment
34 Jet grooming
35 Modeling substructure variables Theory typically predicts moments tagging uses distributions Parton showers may disagree, and require tuning
36 Modeling substructure variables
37 artist: M. Swiatlowski Data-driven efficiency: q/g tag construct width and n trk distributions expected for pure samples bin in jet p T, η; fix flavor ratios to MC predictions also fix heavy flavor templates (shape and normalization) Solve to extract pure templates
38 Data-driven efficiency: jet charge/pull Opposite to leptonic W charge Color singlet Charge bias also possible in W+jets, dijets
39 Jet charge validation W qq candidate charge Performance of a W+ tagger ATLAS-CONF
40 Jet pull validation
41 W-tagging validation
42 top-tagging validation
43 Challenging the SM with substructure tags
44 Search for W tb in hadronic channel Consider new gauge interactions in models preferring quark/3 rd gen couplings
45 Top tagging variables small differences in signal distribution for W L, W R due to top polarization
46 Limits on W
47 Search for W WZ, G* ZZ in leptonic Z+jet channel apply three signal regions (2 jet and 1 jet)
48 Boosted channel backgrounds
49 Limits
50 Outlook
51 Confronting Run II challenges Strategy for 2015 Beyond Run II: Tagger calibrations: W, top tags: In-situ efficiency/fake rate measurements from Run I (being completed) better q/g purified samples Pileup: grooming and area subtraction perform well also: track-based pileup constraints (subjet JVT)
52 Looking ahead No evidence of physics beyond the SM in Run I but a great laboratory for careful validation of jet tagging observables in data! Will hadronic final states show us new physics first in Run II?
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