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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.
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LEPS Collaboration Meeting in TaiwanUpdate of TPC Analysis (II) Jia-Ye Chen 2006.1.12
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
Get Pulses and Form Clusters • Get Pulse • Form Cluster
Set Hits (0.46) Find Track Candidates Set Hits and Find Track Candidates 3D 2D Hit Position
Layer-Clustering and Wire-Clustering • Layer • Wire
Wire ClusteringR32273 Event 1 Cross Layer Same Layer
R32273 Event 1Raw Hits and Tracking Hits y y x x Raw Hits Tracking Hits
Double-Counted Hits y y z z x x • Transverse : x and y • Longitudinal : z
Hits Separation dx dy dz (mm) dz dy dz dx dx dy
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.
Tracking Enhancement 1 hit per layer per track More than 1 hit per layer per track
Future Work • To merge Layer-Clustering and Wire-Clustering. • To extend tracking algorithm, # of hits per tracks will greater than 14. • Hope : Kick event