Simulation study of particle identification using cluster counting technique for the BESIII drift chamber. (1st January 2023)

• Record Type: Journal Article
• Authors: Xin, Shuiting; Zhao, Guang; Wu, Linghui; Dong, Mingyi; Li, Gang; Sun, Shengsen; Lou, Xinchou
• Is Part Of: Journal of instrumentation. Volume 18:Number 1(2023)
• Publication Date: 2023-01-01
• Subjects: Particle identification methods -- Gaseous detectors -- Wire chambers (MWPC, Thin-gap chambers, drift chambers, drift tubes, proportional chambers etc); Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/18/01/T01006
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: The particle identification of charged hadrons, especially for the separation of K and π, is crucial for the flavour physics study. Ionization measurement with the cluster counting technique, which has a much less fluctuation than traditional dE / dx measurement, is expected to provide better particle identification for the BESIII experiment. Simulation studies, including a Garfield++ based waveform analysis and a performance study of K / π identification in the BESIII offline software system have been performed. The results show that K / π separation power and PID efficiency would be improved appreciably in the momentum range above 1.2 GeV/c using cluster counting technique even with a conservative resolution assumption.