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Enhanced Event Analysis in Particle Detection System

This document discusses improvements in event analysis methods for particle detectors, focusing on drift time, clusters, and background removal to enhance data quality. The study presents findings on drift time distribution and cluster formation, addressing issues with space points, multi-hit events, and pattern recognition. The analysis includes techniques for event selection, chi-square optimization, and corrections in time calculations. The results show enhanced cluster disappearance and improved drift time distribution, with recommendations for future optimizations. Notable improvements include a better χ2 distribution, reduced background events, and enhanced event selection strategies.

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Enhanced Event Analysis in Particle Detection System

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  1. HES HKS meeting 24 Sep 2010 Toshiyuki Gogami 9/4/2010 in Prague , Czech

  2. Content • e , e+ background mix rate • debug in h_tof_pre.f

  3. e,e+b.g. in HKS TOP view 5 × 5 [cm2] Side view HKS - D HKS - Q X’ [rad] X [cm]

  4. B.G mix rate in HKS trigger a just after pattern recognition ==>cut bad combination of space point (like TOF_pre) ==>CPU power , analysis time 52Cr (77124) b 12C (76077) 9Be (76607) 7Li (76184) . 10B (76184) B.G. mix rate = a/(a+b) ×1044

  5. Clusters in single residual vs. chi2 distribution Longer drift time events make clusters x’ [rad] track χ2 single residual [cm] drift time [ns] x [cm]

  6. h_tof_pre.f • pre track with space points • single hit in KTOF • multi hit in KTOF • start time calculation for drift time of chambers • correction (card)

  7. Bugs in h_tof_pre.f start time for drift time KTOF TDC information • single hit • multi hit (mean)

  8. Residual vs. χ2 CH2 target Current CH2 target Current Disappear clusters New CH2 target New 16 %

  9. Drift distancex’ vs. residual CH2 target Current Current Residual [cm] (KDC1-3) Stripe drift distance [cm] x’ [rad] @ reference plane New New Residual [cm] (KDC1-3) drift distance [cm] x’ [rad] @ reference plane

  10. Summary and to do • Summary • e,e+ background • cut just after pattern recognition • debug in “h_tof_pre.f” • disappear clusters in residual vs. chi2 distribution • drift time distribution got better • number of event up <== χ2 is better • to do • e,e+ b.g. cut routine • Hough transform • choose single hit ==> see all combination

  11. End Takeshi Hosomi 9/21/2010 @ 楓林 Nagao マーボー茄子定食 ~ 840 yen

  12. e,e+b.g.

  13. Residual vs. χ2 of KDC2 16% CH2 target

  14. Residual vs. χ2 of KDC2 40% 52Cr target

  15. Drift time before and after modified CH2 target 1-1 1-2 1-4 1-6 1-3 1-5 2-1 2-2 2-4 2-6 2-3 2-5

  16. Single residual σ = 170 [ps] σ = 170 [ps]

  17. KDC wire coordinate have discrete peak wire_coordinate 3 CH2 target (run76314) [ cm ] Wire_coord = ±Drift distance

  18. “Drift time” to “Drift distance”(HKS) PARAM / hdriftmap.param.0 number of array +50

  19. h_drift_dist_calc.f drift time Interpolate fractional part gradient ihi ilo

  20. h_drift_dist_calc.f exceptional handling Drift time -50 200 [ ns ] Drift Distance Drift Distance 0.5 [cm] 0 [cm] 0.44 [%] 0.57 [%]

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