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arXiv 2008.06251physics.ins-dethep-ex
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用早期束碰撞数据评价Belle II谱仪气凝胶RICH计数器的性能

Performance evaluation of the aerogel RICH counter for the Belle II spectrometer using early beam collision data

M. Yonenaga, I. Adachi, L. Burmistrov, F. Le Diberder, T. Iijima, S. Iwata, S. Kakimoto, H. Kakuno, G. Karyan, H. Kawai, T. Kawasaki, H. Kindo, H. Kitamura, M. … 展开作者

M. Yonenaga, I. Adachi, L. Burmistrov, F. Le Diberder, T. Iijima, S. Iwata, S. Kakimoto, H. Kakuno, G. Karyan, H. Kawai, T. Kawasaki, H. Kindo, H. Kitamura, M. Kobayashi, T. Kohriki, T. Konno, S. Korpar, P. Križan, T. Kumita, K. Kuze, Y. Lai, M. Mrvar, G. Nazaryan, S. Nishida, M. Nishimura, K. Ogawa, S. Ogawa, R. Pestotnik, A. Seljak, M. Shoji, T. Sumiyoshi, M. Tabata, S. Tamechika, Y. Yusa, L. Šantelj

摘要:

气凝胶环成像切伦科夫(ARICH)计数器用作Belle II光谱仪前端盖区域的粒子识别装置。它能够识别π介子和K介子的动量高达$4 \, {\rm GeV}/c$通过检测在二氧化硅气凝胶辐射体中发射的切伦科夫光子。在探测器对准和概率密度函数校准之后,我们使用早期光束碰撞数据来评估ARICH计数器的性能。使用$D^{\ast +} \to D^0 π^+ (D^0 \to K^-π^+)$的事件样本来确定$π(K)$效率和$K(π)$错误识别概率。我们发现,ARICH计数器是能够分离的K介子从π介子的识别效率为$93.5 \pm 0.6 \, \%$在π介子的错误识别概率为$10.9 \pm 0.9 \, \%$。本文介绍了计数器的识别方法和早期工作时的性能评价。

英文摘要:

The Aerogel Ring Imaging Cherenkov (ARICH) counter serves as a particle identification device in the forward end-cap region of the Belle II spectrometer. It is capable of identifying pions and kaons with momenta up to $4 \, {\rm GeV}/c$ by detecting Cherenkov photons emitted in the silica aerogel radiator. After the detector alignment and calibration of the probability density function, we evaluate the performance of the ARICH counter using early beam collision data. Event samples of $D^{\ast +} \to D^0 π^+ (D^0 \to K^-π^+)$ were used to determine the $π(K)$ efficiency and the $K(π)$ misidentification probability. We found that the ARICH counter is capable of separating kaons from pions with an identification efficiency of $93.5 \pm 0.6 \, \%$ at a pion misidentification probability of $10.9 \pm 0.9 \, \%$. This paper describes the identification method of the counter and the evaluation of the performance during its early operation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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