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TrackMET and ATLAS Run2 xAOD Trigger for Muhammad Firdaus Mohd Soberi University of Michigan-CERN University of Washington Seattle Winter REU 2015 Mentor: Dr. Song-Ming Wang 4/9/2015 Document reference 1


  1. TrackMET and ATLAS Run2 xAOD Trigger for π‘ŽπΌ β†’ πœ‰πœ‰π‘π‘ Muhammad Firdaus Mohd Soberi University of Michigan-CERN University of Washington Seattle Winter REU 2015 Mentor: Dr. Song-Ming Wang 4/9/2015 Document reference 1

  2. Overview 4/9/2015 Document reference 2

  3. 4/9/2015 Document reference 3

  4. What have I done? οƒΌ Performance study of the TrackMET vs CaloMET in Run2 οƒΌ Selection cut study to reject QCD background events οƒΌ Look at different trigger configuration specific for Hbb analysis (eg. π‘ŽπΌ β†’ πœ‰πœ‰π‘π‘) οƒΌ Look at the efficiency curves as a function of offline MET οƒΌ Estimate MET threshold for event selection for 100% efficiency 4/9/2015 Document reference 4

  5. What Remains (If feasible) Continue the trigger MET study to help β€’ performance for the π‘ŽπΌ β†’ πœ‰πœ‰π‘π‘ analysis β€’ Learn trigger detailed implementation for future analysis β€’ Help the development of Run2 TrackMET Validate trigger menu from samples β€’ 4/9/2015 Document reference 5

  6. TrackMET 4/9/2015 Document reference 6

  7. TrackMET Tool developed as alternative for β€’ calorimeter-based MET β€’ Tracker and calorimeter are independent measurement, different systematic effect Currently being migrated for xAOD β€’ β€’ Useful to reject QCD backgrounds 4/9/2015 Document reference 7

  8. TrackMET? Can associate tracks to primary vertex, β€’ β€’ Calculate MET and SumPt based on primary vertex of the event ,thus more correlated to true MET of the main physics process – important in pileup case β€’ Will deteriorate less than calorimeter based variables as instantaneous luminosity increase β€’ Has less effect due to cosmic muon and beam background β€’ Some analysis it is used: β€’ BSM: H->ZZ->vvqq β€’ SM: ZH->vvbb, H->WW->lvlv β€’ ZH->bbxx(invisible) β€’ Disadvantages : β€’ -See only charged particles β€’ -Smaller geometrical coverage (|eta|<2.5 Compared to calorimeter πœƒ <4.5) β€’ -Momentum resolution get worse in higher Pt (expected in Run2, need a way to fix that) 4/9/2015 Document reference 8

  9. METphi_vs_MPTphi 4/9/2015 Document reference 9

  10. METvsMPT (nonPV) 4/9/2015 Document reference 10

  11. METphivsMPTphi 4/9/2015 Document reference 11

  12. Trigger Side 4/9/2015 Document reference 12

  13. Trigger Side L1_XE50, L1_XE70, … β€’ L1 triggers: β€’ L1 topo trigger: L1_J40_DPI-J20s2XE50 β€’ HLT triggers: HLT_xe100 HLT topo triggers: HLT_j80_xe80_dphi1_L1J40_DPHI-J20s2XE50 β€’ Inclusive: L1_XE50, L1_XE70, HLT_xe100 β€’ Meant to complement the TrackMET study by identifying which MET threshold gives maximum discrepancy power 4/9/2015 Document reference 13

  14. ATLAS Trigger System (Run2) 4/9/2015 Document reference 14

  15. ATLAS Trigger System What is a trigger sytem? System that uses simple criteria to quickly decide events in particle detector to keep when small fraction of total can be recorded Real-world limitations Data Storage, CPU Capacity (time) and collision rates How? Searches for β€œinteresting events” (decay of rare particles) which occur at relatively low rates, and identify events that should be saved for further analysis Trigger has large number (hundreds) of hypothesis independently: trigger chains Why? It is often the case that people check the trigger objects to match the offline reconstruction Offline vs Online Trigger reconstruction (online) happens during data-taking, once data taken the trigger information is fixed for all times 4/9/2015 Document reference 15

  16. ATLAS Trigger System The Technicality Job: Select few hundred events of interest/second for permanent storage Run 1: 20MHz οƒ  700Hz => rejection factor of 30 000 β€’ First level trigger (L1) Synchronous at 40MHz with fixed latency 2.5 πœˆπ‘‘ β€’ Identifies Region-of-Interest (RoI) in muon spectrometer and/or β€’ calorimeter with coarse resolution High Level Trigger (HLT) β€’ Handles complexity with custom fast software on commercial CPUs β€’ Access full resolution of ALL detectors β€’ Access both partial events (L2 RoIs (Run1)) and full event (Event Filter(Run1)) 4/9/2015 Document reference 16

  17. ATLAS xAOD Software β€’ Trigger Decision Tool (TDT) β€’ xAODTrigConf xAODTrigger (EmTauRoI, Jet, etc) β€’ xAODTrigEgamma β€’ xAODTrigMissingET β€’ 4/9/2015 Document reference 17

  18. Efficiency Curves Reconstructed events at offline level do not β€’ perfectly match the real data (online) Measure of β€˜goodness’ of trigger β€’ 𝐹𝑔𝑔. ~ πΉπ‘€π‘“π‘œπ‘’π‘‘ π‘žπ‘π‘‘π‘‘ 𝑒𝑠𝑗𝑕𝑕𝑓𝑠 π‘ˆπ‘π‘’π‘π‘š π‘“π‘€π‘“π‘œπ‘’π‘‘ β€’ Nomenclature: XE, xe, J, dphi , … β€’ β€’ L1_XE70, HLT_xe100, L1_... 4/9/2015 Document reference 18

  19. 𝑒𝑒 (online MET trig) 4/9/2015 Document reference 19

  20. 𝑒𝑒 (offline MET trig) 4/9/2015 Document reference 20

  21. 𝑒𝑒 Efficiency (HLTtopo w/o offline cut) 4/9/2015 Document reference 21

  22. Trigger offline cut At least two jets β€’ 𝑄 π‘ˆ >20GeV β€’ πœƒ < 2.5 β€’ Leading jet with 𝑄 π‘ˆ > 45π»π‘“π‘Š β€’ Min βˆ†βˆ… π‘πΉπ‘ˆ, π‘˜π‘“π‘’ > 1.5 β€’ 4/9/2015 Document reference 22

  23. 𝑒𝑒 Efficiency (after offline cut) 4/9/2015 Document reference 23

  24. 𝑒𝑒 Efficiency (L1topo trigger) 4/9/2015 Document reference 24

  25. Monohiggs sample ( π‘žπ‘ž β†’ β„Žπ‘¦π‘¦ β†’ 𝑐𝑐𝑦𝑦 ) 4/9/2015 Document reference 25

  26. Conclusion οƒ˜ TrackMet could help in rejecting processes which are source of fake MET, such as QCD οƒ˜ It can be a powerful tool in W/Z analysis, and any other processes with real MET. β€’ Trigger study in Run2 useful for looking at the efficiency of MET signature trigger Study of trigger efficiency plots could help β€’ analysis in getting the optimum event selection by finding MET threshold 4/9/2015 Document reference 26

  27. Special thanks… And Lounsbery Foundation… 4/9/2015 Document reference 27

  28. Questions??? 4/9/2015 Document reference 28

  29. Fun Time 4/9/2015 Document reference 29

  30. Backup 4/9/2015 Document reference 30

  31. ATLAS Trigger System Trigger is your first step of analysis For analysis, understanding which trigger chain(s) to work with is important. (First selection step of signal and background data) Can use tools provided by trigger group to check outcome of hypothesis and analyze trigger objects Important for analysis: Matching offline reconstruction to trigger objects 4/9/2015 Document reference 31

  32. ATLAS Trigger System Online vs Offline Trigger reconstruction (online) happens during data-taking, once data taken the trigger information is fixed for all times. Expectation vs Reality Expectation: In ideal-world we want trigger to reconstruct events same way as it is done Offline Reality: In real-world limitations make it impossible (there would always be mismatch between online and offline reconstruction) Trigger decision and reconstructed event objects is stored as part of ATLAS Raw Data (produced during Online data taking) 4/9/2015 Document reference 32

  33. Missing Transverse Energy In p-p collision at the LHC, a significant, unmeasured amount of energy β€’ escapes in z-direction. Total initial and final momentum is zero in transverse direction β€’ β€’ Imbalance of energy in transverse direction signals presence of weakly/non- interacting particles such as neutrinos 𝑛𝑗𝑑𝑑 ) 2 + (π‘ž 𝑧 𝑛𝑗𝑑𝑑 ) 2 𝐹 π‘ˆ = (π‘ž 𝑦 𝑂 π‘‘π‘π‘œπ‘’π‘ π‘—π‘ 𝑛𝑗𝑑𝑑 = βˆ’ π‘ž 𝑦 π‘ž 𝑦,𝑗 𝑗=1 𝑂 π‘‘π‘π‘œπ‘’π‘ π‘—π‘ 𝑛𝑗𝑑𝑑 = βˆ’ π‘ž 𝑧 π‘ž 𝑧,𝑗 𝑗=1 xAOD Missing ET β€’ 4/9/2015 Document reference 33

  34. METJEt_dphi_min 4/9/2015 Document reference 34

  35. RoIs β€’ RoI=Region of Interest β€’ LVL1EmTauContainer 4/9/2015 Document reference 35

  36. Trigger emulation vs flag (EM18VH vs L1_EM18VH) 4/9/2015 Document reference 36

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