中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimization of tracker configuration for the CEPC

文献类型:期刊论文

作者Liang, Hao,; Zhu, Yongfeng,; Lai, Pei-Zhu; Ruan, Manqi
刊名Journal of Instrumentation
出版日期2022
卷号17期号:11页码:11061
DOI10.1088/1748-0221/17/11/P11016
文献子类Article
英文摘要We investigate the tracker configuration optimization for the Circular Electron Position Collider (CEPC), a proposed Higgs and Z factory. Fixing the construction cost comparable to that of the baseline detector design and considering the benchmark channels (Z ff, WW fusion with H ff, ZH ννff, and tt bbμνμud) of various operating modes of the CEPC, we obtain the optimal tracker radius that provides the best average resolution of the track momentum or jet energy. The optimal tracker radii for track momentum resolution range from 1.59 m to 1.73 m and for jet energy resolution from 1.82 m to 1.97 m, depending on the benchmark channels. Compared to the jets, the tracks prefer a smaller radius and a longer length because the track momentum resolution degrades more significantly than jet energy resolution in the forward region. The benchmark channel for Z-pole prefers a smaller radius and longer length compared to other benchmark channels because the final state particles at the Z-pole have a more forward distribution. We also analyze the scaling behavior of the optimal tracker configuration at floating construction cost and observe a weak dependence. © 2022 IOP Publishing Ltd and Sissa Medialab.
电子版国际标准刊号17480221
语种英语
源URL[http://ir.ihep.ac.cn/handle/311005/299708]  
专题高能物理研究所_实验物理中心
作者单位中国科学院高能物理研究所
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Liang, Hao,,Zhu, Yongfeng,,Lai, Pei-Zhu,et al. Optimization of tracker configuration for the CEPC[J]. Journal of Instrumentation,2022,17(11):11061.
APA Liang, Hao,,Zhu, Yongfeng,,Lai, Pei-Zhu,&Ruan, Manqi.(2022).Optimization of tracker configuration for the CEPC.Journal of Instrumentation,17(11),11061.
MLA Liang, Hao,,et al."Optimization of tracker configuration for the CEPC".Journal of Instrumentation 17.11(2022):11061.

入库方式: OAI收割

来源:高能物理研究所

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