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Hadronic Jet Energy Scale Hadronic t-t bar selection and Jet Energy Scale calibration Part I : Accessing the trigger information 09/02 - Menelaos Tsiakiris.

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Presentation on theme: "Hadronic Jet Energy Scale Hadronic t-t bar selection and Jet Energy Scale calibration Part I : Accessing the trigger information 09/02 - Menelaos Tsiakiris."— Presentation transcript:

1 Hadronic Jet Energy Scale Hadronic t-t bar selection and Jet Energy Scale calibration Part I : Accessing the trigger information 09/02 - Menelaos Tsiakiris

2 Motivation… Main decay modes:  di-lepton: tt bar  lν lν bb 5% (e + μ)  lepton + jets: tt bar  lν qq bb 30% (e + μ)  all hadronic : tt bar  qq qq bb 45% qq bar (10%), gg (90%)  tt bar Dominant quark production mechanism t  Wb (~100%) quarks (light jets) b quark jets (displaced vertices) Pros: + Largest branching ratio + Kinematics that can be fully reconstructed Cons: - very large QCD multijet background challenging for the isolation of the signal - difficulties for triggering

3 Tools… Atlas offline – Athena  currently on 12.0.4 Sample 5012 (QCD) AOD di-jet sample reco. with trigger info trig1_misal1_csc11_005012.J3_pythia_jetjet.recon.AOD.v12000402 Sample 5200 (ttbar) AOD semi-leptonic sample reco. with trigger info trig1_misal1_csc11_005200.T1_McAtNlo_Jimmy.recon.AOD.v12000402 UserAnalysis (00-08-43) package  very basic stuff… Trigger Decision Class (by M.Wielers)  access the trigger information List of predefined trigger menus in release 12 : https://twiki.cern.ch/twiki/bin/view/Atlas/TriggerMenuVersions Contains the trigger menu items as defined at reconstruction. Trigger Menu : 12.0.4  official production CSC-03

4 About Trigger Decision … Obtains the trigger decision for each event Gives the list of signatures running in each trigger level Implemented from 11.0.5 - fully functional on 12.0.x From 12.0.4 also included in AODs TriggerDecisionMaker TriggerDecisionMaker Algorithm  runs after the trigger steering  determines which HLT or LVL1 items were satisfied  fills the TriggerDecision object TriggerDecision class  User Interface: … bool isDefined(“L1_2J45”) bool isTriggered(“L1_2J45”) bool isTriggerPassed() void print() void printAccepted() … Starting point: Wiki page: https://twiki.cern.ch/twiki/bin/view/Atlas/TriggerDecision https://twiki.cern.ch/twiki/bin/view/Atlas/TriggerDecision Browse code @ CVSView and documentation @ DoxygenCVSViewDoxygen Methods…

5 More on Trigger Decision… How-to use: cmt/requirement i) Include the Trigger, in the cmt/requirement  use TrigSteeringEvent TrigSteeringEvent-* Trigger/TrigEvent AnalysisSkeleton.cxx ii) Edit AnalysisSkeleton.cxx  #include "TrigSteeringEvent/TriggerDecision.h" StoreGate iii) Retrieve the trigger decision from StoreGate  /** Get Trigger Decision */ const TriggerDecision* trigDec = 0; MyTriggerDecision StatusCode sc = m_storeGate->retrieve( trigDec, MyTriggerDecision); if( sc.isFailure() || !trigDec) { mLog << MSG::WARNING << "No Trigger Decision found in TDS" << endreq; return StatusCode::SUCCESS; } Need more insight? https://twiki.cern.ch/twiki/bin/view/Atlas/TriggerAnalysisTutorial https://twiki.cern.ch/twiki/bin/view/Atlas/TriggerAnalysisTutorial !!! This is only for handling the MSG service trigDec->isTriggered(“L1_J35”) Returns true/false Default key In case you re-run the trigger hypothesis on an ESD/AOD + MyTriggerDecision+ e.g

6 Reco container Trigger Decision if (accepted) accepted_histo Fill accepted_histo Truth container findAMatch highest_truth_histo Fill highest_truth_histo Divide Find highest energetic jet Turn – on curve : For a trigger request of: E > 50 GeV The percentage of jets that pass the energy threshold with respect to their true energy E truth My analysis: Per event… Ideal…

7 jet160 The jet160 item turn-on curves (5012): LVL1: L1_J45 (20GeV) LVL2: L2_ jet160 EF: EF_jet160 !!! “garbage” at low energies !?!?

8 Reco container Trigger Decision if (accepted) accepted_histo Fill accepted_histo Truth container findAMatch highest_truth_histo Fill highest_truth_histo Divide Find highest energetic jet Offline reconstruction algorithm Trigger Reco Container Trigger reconstruction algorithm Fast solution… Truth container Find highest energetic jet Trigger Decision if (accepted) Divide highest_truth_histo Fill highest_truth_histo accepted_histo Fill accepted_histo

9 jet160 The jet160 item turn-on curves (5012): The “garbage” are gone… ! But for this sample the jet160 item is not good …. Very few events  next slide

10 jet160 The jet160 item (5012): Truth distribution Only very few events above 180 GeV

11 2jet120 The 2jet120 item (5012): LVL1: L1_2J45 LVL2: L2_ jet120L2_jet120 EF: EF_jet120EF_jet120 Note the naming convention for L2 and EF! Still few statistics based

12 New sample 5200. Semi-leptonic ttbar… … just looked at it a few days ago … very few events after 220 GeV ! Truth distribution

13 The jet160 item on a 5200 sample, 4000 events: 90 – 100% Starts building up after 160 GeV Bit sloppy here… ~ 80% -100% AnalysisSkeleton INFO The L1 J45 : 3987  ~100% AnalysisSkeleton INFO The L2 jet160 : 2281  57% AnalysisSkeleton INFO The EF jet160 : 421  11%

14 The 2jet120 item (5200) 4000 events: ~ 80% - 90% ~ 50% - 60% Starts to build up only after 120 GeV AnalysisSkeleton INFO The L1 2J45 : 3859  96% AnalysisSkeleton INFO The L2 2jet120 : 1930  48% AnalysisSkeleton INFO The EF 2jet120 : 278  7%

15 The 3jet65 item (5200) 4000 events: LVL1: L1_3J45 LVL2: L2_ jet65L2_jet65L2_jet65 EF: EF_jet65EF_jet65EF_jet65 ~ 80% - 90% ~ hardly 40 - 50% Again… AnalysisSkeleton INFO The L1 3J45 : 3434  85% AnalysisSkeleton INFO The L2 3jet65 : 2508  63% AnalysisSkeleton INFO The EF 3jet65 : 522  13% ~ 90% !

16 The 4jet50 item (5200) 4000 events: LVL1: L1_4J45 LVL2: L2_ jet50L2_jet50L2_jet50L2_jet50 EF: EF_jet50EF_jet50EF_jet50EF_jet50 AnalysisSkeleton INFO The L1 2J45 : 2392  60% AnalysisSkeleton INFO The L2 2jet120 : 1771  44% AnalysisSkeleton INFO The EF 2jet120 : 406  10 % No more than 40% ~ 60% - 70% ~ 70 % !!! again 3987 passed LVL1 : 99% 3137 passed LVL2 : 78% 857 passed EF : 21% Total accepted events:

17 About Jet Energy Scale… The efficiency of the jet triggers depends heavily on the quality of the Jet Energy Scale calibrations in the online system. For the di-jet 5012 sample As an introduction to this study I looked on the JES based on offline reconstruction

18 JES JES : Fitting each bin of the x-axis with a gaussian and plotting the Constant(height), Mean and Sigma Offset of 2 GeV The distribution is getting wider for high energies (less events ?) 5012 di-jet sample

19 About Jet Energy Scale… For the ttbar 5200 sample

20 JES JES : 5200 ttbar sample Not the same as 5012 !

21 My to-do list … Run the online reconstruction algorithm. (Samples ??) Do the turn-on curves based on the trigger reco. algorithm and improve diagrams (e.g. errors) Examine JES for the online case Look into EventView Trigger package https://twiki.cern.ch/twiki/bin/view/Atlas/EventViewTrigger

22 THANK YOU!

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