1 / 21

LEPS Collaboration Meeting in Taiwan Update of TPC Analysis (II)

This report provides an update on Time Projection Chamber (TPC) analysis, including particle identification, clustering algorithms, and future work. The focus is on the Layer-Clustering and Wire-Clustering algorithms, as well as tracking enhancement techniques.

mharold
Download Presentation

LEPS Collaboration Meeting in Taiwan Update of TPC Analysis (II)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. LEPS Collaboration Meeting in TaiwanUpdate of TPC Analysis (II) Jia-Ye Chen 2006.1.12

  2. Contents • Time Projection Chamber • Particle Identification • Get Pulses and Form Clusters • Set Hits and Find Track Candidates • Layer-Clustering (0.46-rk) and Wire-Clustering (0.47b) • Wire-Clustering Algorithm • Future Work

  3. Time Projection Chamber

  4. Particle Identification Algorithm

  5. Get Pulses and Form Clusters • Get Pulse • Form Cluster

  6. Set Hits (0.46) Find Track Candidates Set Hits and Find Track Candidates 3D 2D Hit Position

  7. Layer-Clustering and Wire-Clustering • Layer • Wire

  8. Layer ClusteringR32273 Event 1 Layer 0

  9. Layer ClusteringR32273 Event 1 Layer 1

  10. Wire PulsesR32273 Event 1

  11. Wire ClusteringR32273 Event 1 Cross Layer Same Layer

  12. Wire ClusteringR32273 Event 1 Wire 50

  13. Find Track Candidate

  14. 0.46 W/O CorrectHit0.47 W/O Tracking Raw Hits

  15. R32273 Event 1Raw Hits and Tracking Hits y y x x Raw Hits Tracking Hits

  16. Double-Counted Hits y y z z x x • Transverse : x and y • Longitudinal : z

  17. Hits Separation dx dy dz (mm) dz dy dz dx dx dy

  18. Pile-up Pulses ΔZ

  19. Wire-Clustering Algorithm • High ADC pulse as SEED • Find Time-Overlapped pulses on the same or neighboring layers, if time-overlapped pulses on the same layer, ask for neighboring pads. • A cluster requires that more than 3 pulses and 3 pads. • Hits which their separation, ΔZ, is smaller than 1 mm, are double-counted hits. Small max-ADC hit will be dropped.

  20. Tracking Enhancement 1 hit per layer per track More than 1 hit per layer per track

  21. Future Work • To merge Layer-Clustering and Wire-Clustering. • To extend tracking algorithm, # of hits per tracks will greater than 14. • Hope : Kick event

More Related