Multi-Variable Particle ID for BESⅡ Physics Analysis

  • A multi-variable particle identification method is developed for the BESⅡ physics analysis. Besides the traditionally used TOF-T and dE/dx information, TOF-Q and BSC-E are also used to improve the particle discrimination ability. It is shown that the particle identification efficiency, misidentification probability and systematic error could be improved with this new method. The multi-variable method can be extended to even more variables, and can be used in other experiments.
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  • [1] .  BAI J Z et al (BES Collab. ) . Nucl . Instr. Meth. , 2001 , A458 :6272. ZHENG Zhi-Peng , ZHU Yong-Sheng. Electron2Positron Physics at Beijing Spectrometer 、Guang Xi : Guang Xi Science and Technology Press , 1998. 36 —42 (in Chinese)(郑志鹏,朱永生. 北京谱仪正负电子物理. 广西:广西科学技术出版社,1998. 36 —42)3. YUAN Chang-Zheng. Ph. D thesis , Beijing : Institute of High Energy Physics , 1997 (in Chinese)(苑长征. 博士学位论文,北京:高能物理研究所,1997)4. LI Hui-Hong , LIU Feng , LI Jin et al . HEP NP , 2003 , 27 (8) :659 —665(in Chinese)(李会红,刘峰,李金等. 高能物理与核物理,2003 , 27 (8) :659 —665)5. BAI J Z et al (BES Collab. ) . Phys. Rev. , 2003 , D67 :1120016. DU Shu-Xian , YUAN Chang-Zheng , LIU Jue-Ping et al . HEP NP ,2003 , 27 (6) :521 —525 (in Chinese)(杜书先,苑长征,刘觉平等. 高能物理与核物理,2003 , 27 (6) :521 —525)7. WANG Zheng , YUAN Chang-Zheng , QI Na-Ding. HEP NP , 2003 ,27(8) :716 —721 (in Chinese)(王征,苑长征,漆纳丁. 高能物理与核物理,2003 , 27 (8) :716 —721)
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XIN Bo, YUAN Chang-Zheng and MA Feng-Cai. Multi-Variable Particle ID for BESⅡ Physics Analysis[J]. Chinese Physics C, 2004, 28(6): 621-625.
XIN Bo, YUAN Chang-Zheng and MA Feng-Cai. Multi-Variable Particle ID for BESⅡ Physics Analysis[J]. Chinese Physics C, 2004, 28(6): 621-625. shu
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Received: 2003-11-10
Revised: 1900-01-01
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Multi-Variable Particle ID for BESⅡ Physics Analysis

    Corresponding author: XIN Bo,
  • Department of Physics,Liaoning University,Shenyang 110036,China2 Institute of High Energy Physics,CAS,Beijing 100039,China

Abstract: A multi-variable particle identification method is developed for the BESⅡ physics analysis. Besides the traditionally used TOF-T and dE/dx information, TOF-Q and BSC-E are also used to improve the particle discrimination ability. It is shown that the particle identification efficiency, misidentification probability and systematic error could be improved with this new method. The multi-variable method can be extended to even more variables, and can be used in other experiments.

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