Correlation between Particle Ionization Energy Loss in MRPC and Its Signal Amplitude

LI Xin; SHAO Ming; LI Cheng; CHEN Hong-Fang; TANG Ze-Bo

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《中国物理C》（英文）编辑部

2024年10月30日

Chinese Physics C> 2007, Vol. 31> Issue(4) : 377-383

Correlation between Particle Ionization Energy Loss in MRPC and Its Signal Amplitude

Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China

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Based on analysis of STAR-TOFr data from RHIC 62.4GeV Au+Au experiments, correlation between the MRPC signal amplitude (ADC) and the ionization energy loss (dE/dx) in working gas, for different particles (Pion, Kaon, Proton), are studied. Experimental results on characteristics of particle ionization and avalanche process in MRPC are presented. In order to further understand the working mechanism of MRPC, a Monte Carlo simulation procedure is carried out. Possible factors contributing to the performance of MRPC are discussed.

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LI Xin, SHAO Ming, LI Cheng, CHEN Hong-Fang and TANG Ze-Bo. Correlation between Particle Ionization Energy Loss in MRPC and Its Signal Amplitude[J]. Chinese Physics C, 2007, 31(4): 377-383.

LI Xin, SHAO Ming, LI Cheng, CHEN Hong-Fang and TANG Ze-Bo. Correlation between Particle Ionization Energy Loss in MRPC and Its Signal Amplitude[J]. Chinese Physics C, 2007, 31(4): 377-383. shu

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Received: 2006-07-06
Revised: 2006-09-29

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沈阳化工大学材料科学与工程学院沈阳 110142

Correlation between Particle Ionization Energy Loss in MRPC and Its Signal Amplitude

Corresponding author: SHAO Ming,

Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China

Received Date: 2006-07-06
Accepted Date: 2006-09-29
Available Online: 2007-04-05

Abstract: Based on analysis of STAR-TOFr data from RHIC 62.4GeV Au+Au experiments, correlation between the MRPC signal amplitude (ADC) and the ionization energy loss (dE/dx) in working gas, for different particles (Pion, Kaon, Proton), are studied. Experimental results on characteristics of particle ionization and avalanche process in MRPC are presented. In order to further understand the working mechanism of MRPC, a Monte Carlo simulation procedure is carried out. Possible factors contributing to the performance of MRPC are discussed.