A Bayesian statistical method for particle identification in shower counters

被引：0
|
作者：
Takashimizu, N [1 ]
Kimura, A
Shibata, A
Sasaki, T
机构：
[1] Shimane Univ, Dept Math & Comp Sci, Matsue, Shimane, Japan
[2] Ritsumeikan Univ, Dept Comp Sci, Kusatsu, Japan
来源：
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 2004年 / 534卷 / 1-2期
关键词：
D O I：
10.1016/j.nima.2004.07.040
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
We report an attempt on identifying particles using a Bayesian statistical method. We have developed the mathematical model and software for this purpose. We tried to identify electrons and charged pions in shower counters using this method. We designed an ideal shower counter and studied the efficiency of identification using Monte Carlo simulation based on Geant4. Without having any other information, e.g. charges of particles which are given by tracking detectors, we have achieved 95% identifications of both particles. (C) 2004 Published by Elsevier B.V.
引用
收藏
页码：162 / 164
页数：3
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