Track Correlation Analysis and Performance Evaluation in High-Energy Physics

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Explore the correlation between offline and online tracking systems in high-energy physics experiments. Investigate track distributions, trigger mechanisms, and multiplicity variations in North and South regions. Analyze the performance differences in pp200, pp500, p-going, and Au-going scenarios. Dive into the North trigger's high multiplicity tail and its impact on data analysis.

  • Track Correlation
  • High-Energy Physics
  • Data Analysis
  • Trigger Mechanisms
  • Performance Evaluation
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  1. Offline vs Online Track Correlation 1

  2. Homeworks from the last 2 weeks Online track vs. Offline track correlation for North and South, separately to address why Au-going turn on is so good. (SeYoung) # of track distribution comparison between 500GeV, 200GeV pp, and pAu (North and South separately). (Toru) BBC high multiplicity trigger vs. FVTX high multiplicity trigger (Hiroshi, Itaru) # of track distribution in VTX for FVTX trigger and BBCLL1(>0 tubes)_central35_narrowvtx (Theo) Correlation between North vs. South high multiplicity (Itaru) Process more MB events to argue higher multiplicity for North performance (itaru/Volunteer?) 2

  3. Homework from May 14 meeting. About high multiplicity tail of North trigger: Contact with Mickey and get information about backgrounds in MPC Compare earlier and later runs. The background was bad in earlier runs. W and E difference in p-going trigger. BBC centrality dependence in high multiplicity tail in p-going spectra. Narrow z-VTX cut (Itaru) Reevaluate purity for North trigger. Lowering threshold and prescale may be optimal. 3

  4. North Spectrum from Week-1 and 2 10 3 10 Number of Tracks per Event (North) 10 10 10 2 4 5 1 0 5 10 15 20 25 30 35 40 45 50 Week-1 433102 May-9-15 Number of Tracks MPC saw something similar tail in charge(?) distribution at the beginning of pAu run. The tail disappeared by the 2ndweek in MPC case. The tail still exists in week-2 for FVTX case. The shape may look different, but slightly. Entries 625122 Entries 625122 Number of Tracks per Event (North) 10 10 10 10 10 2 3 4 5 1 0 Week-2 434024 May-15-15 5 10 15 20 25 30 35 40 45 50 Number of Tracks Entries 544205 Entries 544205 4

  5. West vs. East Dependence 15 South (Au-going) 15 North (p-going) Number of Tracks (West) Number of Tracks (West) 25 35 45 25 35 45 tail 10 20 30 40 10 20 30 40 0 5 0 5 0 0 5 5 10 10 Number of Tracks in FVTX Number of Tracks in FVTX 15 15 20 20 25 25 30 30 35 35 Number of Tracks (East) Number of Tracks (East) 40 40 45 45 10 10 10 10 10 10 1 10 1 10 2 3 4 2 3 4 No obvious East/West dependence is seen in the high multi-track tail. 5

  6. Study made by SeYoung ONLINE VS OFFLINE TRACK CORRELATION More detailed look on the p-going side long and flat tail. Turn on performance difference in pp200, pp500, p-going, Au-going. 6

  7. 10 10 10 10 10 10 10 10 0.2 0.4 0.6 0.8 10 10 0 0 2 3 4 5 2 3 4 5 0 1 0 1 1 sigma sigma turn on turn on plateau plateau 2c 2c / ndf / ndf Rejection Power=854 5 5 5 Purity(20)= 0.102 Number of Tracks per Event (North) Number of Tracks per Event (North) 5.208 5.208 20.3 20.3 10 1 1 10 10 Trigger Efficiency (North) 159.6 / 25 159.6 / 25 0.2813 0.9907 0.1198 0.2813 0.9907 0.1198 15 15 15 Trigger Turn on Performances Number of Tracks 30 0.135 cfg.sector.nstation.thre = 3 cfg.combination = signle cfg.sector.nhit.thre = 1 trig mode = multitrack cfg.arm.logic = AND cfg.fem.logic = OR 20 20 20 cfg.cage.thre = 6 cfg.adc.thre = 1 sigma sigma turn on pp200GeV turn on plateau plateau 2c / ndf 2c / ndf Number of Tracks Number of Tracks predicted fired total 25 25 25 Entries Entries Entries 530 Entries 530 Entries 1102 Entries 1102 Entries 453012 Entries 453012 Entries 453012 Entries 453012 21.66 21.66 0.9337 0.9337 5.121 5.121 Why Trigger turn on behaves so differently? p-going of pAu and pp shows similar 88.32 / 25 88.32 / 25 0.2459 0.8506 30 30 0.2459 0.8506 0.135 0 0 2 turn on purformance. Au-going shows cleaner and unique turn on. 10 10 10 10 10 10 0.2 0.4 0.6 0.8 10 10 0 0 3 4 2 3 4 1 1 1 0 0 sigma sigma turn on turn on plateau plateau c c / ndf 2 2 / ndf 100 100 100 200 200 200 0.2016 0.2016 55.59 55.59 281.8 281.8 0.01379 97 / 72 97 / 72 300 0.01379 300 300 pAu200GeV Au-going 1.857 5.17 Number of Hits per Event (North) Number of Hits per Event (North) 1.857 5.17 pAu200GeV p-going Trigger Efficiency (North) 400 400 400 500 500 500 MB 600 600 600 12 700 700 700 800 800 800 Number of Hits Number of Hits Number of Hits 14 fired predicted total Entries Entries Entries 1102 Entries 1102 Entries 530 Entries 530 Entries 453012 Entries 453012 Entries 453012 Entries 453012 900 1000 900 1000 900 1000 16 18 0 0 7

  8. Offline vs Online for pp200GeV Online vs. Offline track Online vs. Offline track Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks 1 # of online tracks # of online tracks 5 10 25 25 4 10 20 20 -1 10 3 10 15 15 Normalized 2 10 10 10 -2 10 10 5 5 0 0 -3 1 10 0 10 20 30 40 50 0 10 20 30 40 50 # of offline tracks # of offline tracks Offline vs Offline tracks in FVTX Normalized by Total number of online tracks. 8

  9. Offline vs. Online (Normalized by Online) Z: Log scale Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks pp500GeV pp200GeV 1 # of online tracks # of online tracks 25 Normalized by online tracks 25 -1 10 20 20 -1 10 15 15 -2 10 10 10 -2 10 5 5 -3 10 0 0 10 20 30 40 50 0 -3 10 # of offline tracks 0 10 20 30 40 50 # of offline tracks pAu200GeV p-going Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks pAu200GeV Au-going # of online tracks # of online tracks 25 25 -1 10 -1 20 10 20 15 15 -2 -2 10 10 10 10 5 5 -3 -3 10 10 0 0 9 0 10 20 30 40 50 0 10 20 30 40 50 # of offline tracks # of offline tracks

  10. Lessons we learned High multiplicity tail in p-going Events in tail distributes in high online track (>20) region. Seems to be weak correlation between online and offline tracks. However online track saturates at 24. Not being able to distinguish if these events are continuum of diagonal events, or online- offline uncorrelated events. Turn on performance difference Au-going has cleaner correlation between online and offline tracks compared to p-going, pp200GeV, pp500GeV Off diagonal component gives sneak in triggered events in low multiplicity events. 10

  11. Study made by Theo VTX 11

  12. BBCQ: FVTX vs BBC35 Triggers FVTX and BBC35 both triggers display peaking structure around 50 100 in BBC-Q. BBC35 peak appears higher than FVTX trigger. FVTX trigger trigger shows thicker tail compared to BBC35 by order of magnitude. x10 12

  13. Trigger Dependence of VTX Track 10 10 10 10 2 3 4 5 6 2 3 4 5 1 0 0 Number of StandAlone VTX Tracks Number of StandAlone VTX Tracks FVTX Trigger / Central 35 BBC FVTX Trigger / Central 35 BBC 5 5 10 10 15 15 20 20 FVTX High Mult South Only - Mean: 3.90 FVTX High Mult North Only - Mean: 1.75 FVTX High Mult BOTH - Mean: 3.43 Central 35 BBC - Mean: 3.75 FVTX High Mult South Only FVTX High Mult North Only FVTX High Mult BOTH # VTX Tracks # VTX tracks 25 25 30 30 13

  14. Trigger Dependence of VTX Track 10 10 10 10 10 10 10 10 2 3 4 5 3 4 5 6 0 0 Number of StandAlone VTX Tracks Number of StandAlone VTX Tracks 5 5 Integral from i to 30 Integral from i to 30 10 10 15 15 20 20 FVTX High Mult South Only - Mean: 3.90 FVTX High Mult North Only - Mean: 1.75 FVTX High Mult BOTH - Mean: 3.43 Central 35 BBC - Mean: 3.75 FVTX High Mult South Only - Mean: 3.56 FVTX High Mult North Only - Mean: 2.49 FVTX High Mult BOTH - Mean: 3.51 Central 35 BBC - Mean: 3.08 # VTX Tracks # VTX tracks 25 25 30 30 14

  15. Trigger Dependence of VTX Track 10 10 10 10 2 3 4 5 6 2 3 4 5 1 0 0 Integral FVTX Trigger / Central 35 BBC Integral FVTX Trigger / Central 35 BBC Number of StandAlone VTX Tracks Number of StandAlone VTX Tracks 5 5 10 10 15 15 20 20 FVTX High Mult South Only - Mean: 3.90 FVTX High Mult North Only - Mean: 1.75 FVTX High Mult BOTH - Mean: 3.43 Central 35 BBC - Mean: 3.75 FVTX High Mult South Only FVTX High Mult North Only FVTX High Mult BOTH # VTX Tracks # VTX tracks 25 25 30 30 15

  16. Super High Multiplicity in VTX 10 10 10 10 10 10 12 14 0 2 4 6 8 2 3 4 5 6 0 0 10 10 Integral FVTX Trigger / Central 35 BBC Integral FVTX Trigger / Central 35 BBC FVTX High Mult South Only FVTX High Mult North Only FVTX High Mult BOTH 20 20 Integral from i to 100 Integral from i to 100 30 30 40 40 50 50 60 60 70 70 FVTX High Mult South Only - Mean: 3.51 FVTX High Mult North Only - Mean: 3.42 FVTX High Mult BOTH - Mean: 4.06 Central 35 BBC - Mean: 3.06 x10 80 80 # VTX Tracks # VTX Tracks 90 90 100 100 Note the VTX tracks are raw. The North (p-going) trigger shows order of magnitude higher yield in the high multiplicity region > 30, where as South trigger decays similarly to BBC35. Since North and South are both running with the trigger condition > 18 tracks, North is effectively applying higher threshold than South. Thus North trigger is rather effective in higher multiplicity region? 16

  17. TRIGGER OPTIMIZATION 17

  18. FVTX Trig Threshold Dependence (North p-going) Current condition Threshold 12 14 16 18 Rates [kHz] 27 9.2 4.5 2.7 Purity >=20 0.124 0.22 0.225 0.215 Purity >=25 0.025 0.06 0.112 0.147 There is excess around # of tracks ~ 15. The question is whether if we want to lower the threshold to save these events or not. Lowering threshold and let it be prescaled will loose events in super high multiplicity events in VTX 18

  19. Integrated # of Triggers As of Today BBC centrality trigger got 700M, and FVTX got 200M so far Projections are 1.8B (BBC cent.) and 300M (FVTX_S). 300M*0.8purity / 80M (dAu central) = 3 (sensitivity) 19

  20. BACKUP 20

  21. South (Au-going) Performance MB 12 14 16 18 12 21

  22. Offline vs. Online pp500GeV pp200GeV Normalized by offline tracks pAu200GeV p-going pAu200GeV Au-going 22

  23. Au-going (Non Normalized) 23

  24. North (p-going) Performance 24

  25. p-going (Non Normalized) 25

  26. 10 10 10 10 10 10 10 10 0.2 0.4 0.6 0.8 10 10 0 0 2 3 4 5 2 3 4 5 0 1 0 1 1 sigma sigma turn on turn on plateau plateau 2c 2c / ndf / ndf Rejection Power=854 5 5 5 Purity(20)= 0.102 Number of Tracks per Event (North) Number of Tracks per Event (North) 5.208 5.208 20.3 20.3 10 1 1 10 10 Trigger Efficiency (North) 159.6 / 25 159.6 / 25 0.2813 0.9907 0.1198 0.2813 0.9907 0.1198 15 15 15 Trigger performance for pp 20 / ndf cfg.sector.nstation.thre = 3 cfg.combination = signle cfg.sector.nhit.thre = 1 trig mode = multitrack cfg.arm.logic = AND cfg.fem.logic = OR 20 20 cfg.cage.thre = 6 cfg.adc.thre = 1 sigma sigma turn on turn on plateau plateau 2c / ndf 2c Number of Tracks Number of Tracks Number of Tracks predicted fired total 25 25 25 Entries Entries Entries 530 Entries 1102 Entries 530 Entries 1102 Entries 453012 Entries 453012 Entries 453012 Entries 453012 21.66 21.66 0.9337 0.9337 5.121 5.121 88.32 / 25 88.32 / 25 0.2459 0.8506 30 30 30 0.2459 0.8506 0.135 0.135 0 0 10 10 10 10 10 10 0.2 0.4 0.6 0.8 10 10 0 0 2 3 4 2 3 4 1 1 1 0 0 sigma sigma turn on turn on plateau plateau c / ndf c 2 2 / ndf 100 100 100 200 200 200 0.2016 0.2016 55.59 55.59 281.8 281.8 0.01379 97 / 72 97 / 72 300 0.01379 300 300 1.857 5.17 Number of Hits per Event (North) Number of Hits per Event (North) 1.857 5.17 Trigger Efficiency (North) 400 400 400 500 500 500 Normalized by offline tracks 600 600 600 700 700 700 800 800 800 Number of Hits Number of Hits Number of Hits predicted fired total Entries Entries Entries 1102 Entries 530 Entries 530 Entries 1102 Entries 453012 Entries 453012 Entries 453012 Entries 453012 900 1000 900 1000 900 1000 0 0 26

  27. Offline vs. Online (Normalized by Offline) Online vs. Offline track : Normalized by # of offline tracks Online vs. Offline track : Normalized by # of offline tracks Online vs. Offline track : Normalized by # of offline tracks Online vs. Offline track : Normalized by # of offline tracks pp500GeV pp200GeV 1 1 # of online tracks # of online tracks 0.9 0.9 Normalized by offline tracks 25 25 0.8 0.8 0.7 0.7 20 20 0.6 0.6 15 15 0.5 0.5 0.4 0.4 10 10 0.3 0.3 0.2 5 0.2 5 0.1 0.1 0 0 0 0 10 20 30 40 50 0 0 10 20 30 40 50 # of offline tracks # of offline tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of offline tracks Online vs. Offline track : Normalized by # of offline tracks pAu200GeV Au-going pAu200GeV p-going 1 # of online tracks # of online tracks 0.9 0.7 25 25 0.8 0.6 0.7 20 20 0.5 0.6 15 0.5 15 0.4 0.4 0.3 10 10 0.3 0.2 0.2 5 5 0.1 0.1 0 0 0 0 10 20 30 40 50 27 0 0 10 20 30 40 50 # of offline tracks # of offline tracks

  28. Offline vs. Online (Normalized by Online) Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks pp500GeV 1 pp200GeV # of online tracks # of online tracks 0.7 0.9 25 25 Normalized by online tracks 0.6 0.8 0.7 0.5 20 20 0.6 0.4 15 15 0.5 0.3 0.4 10 10 0.3 0.2 0.2 5 5 0.1 0.1 0 0 0 0 0 10 20 30 40 50 0 10 20 30 40 50 # of offline tracks # of offline tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks Online vs. Offline track : Normalized by # of online tracks pAu200GeV Au-going pAu200GeV p-going # of online tracks # of online tracks 0.7 0.7 25 25 0.6 0.6 20 20 0.5 0.5 15 15 0.4 0.4 0.3 0.3 10 10 0.2 0.2 5 5 0.1 0.1 0 0 0 28 0 10 20 30 40 50 0 0 10 20 30 40 50 # of offline tracks # of offline tracks

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