Classify the Higgs decays with the PFN and ParticleNet at electron-positron colliders
文献类型:期刊论文
作者 | Li, G; Liao, LB; Lou, XC; Shen, PX; Song, WM; Wang, SD; Zhang, ZL |
刊名 | CHINESE PHYSICS C |
出版日期 | 2022 |
卷号 | 46期号:11页码:113001 |
ISSN号 | 1674-1137 |
关键词 | the Higgs Boson event classification Particle Flow Network ParticleNet |
DOI | 10.1088/1674-1137/ac7f21 |
文献子类 | Article |
英文摘要 | Various Higgs factories are proposed to study the Higgs boson precisely and systematically in a model- independent way. In this study, the Particle Flow Network and ParticleNet techniques are used to classify the Higgs decays into multicategories, and the ultimate goal is to realize an end-to-end analysis. A Monte Carlo simulation study is performed to demonstrate the feasibility, and the performance looks rather promising. This result could be the basis of a one-stop analysis to measure all the branching fractions of the Higgs decays simultaneously. |
电子版国际标准刊号 | 2058-6132 |
语种 | 英语 |
WOS记录号 | WOS:000882544500001 |
源URL | [http://ir.ihep.ac.cn/handle/311005/299406] |
专题 | 高能物理研究所_实验物理中心 高能物理研究所_粒子天体物理中心 高能物理研究所_多学科研究中心 |
作者单位 | 中国科学院高能物理研究所 |
推荐引用方式 GB/T 7714 | Li, G,Liao, LB,Lou, XC,et al. Classify the Higgs decays with the PFN and ParticleNet at electron-positron colliders[J]. CHINESE PHYSICS C,2022,46(11):113001. |
APA | Li, G.,Liao, LB.,Lou, XC.,Shen, PX.,Song, WM.,...&Zhang, ZL.(2022).Classify the Higgs decays with the PFN and ParticleNet at electron-positron colliders.CHINESE PHYSICS C,46(11),113001. |
MLA | Li, G,et al."Classify the Higgs decays with the PFN and ParticleNet at electron-positron colliders".CHINESE PHYSICS C 46.11(2022):113001. |
入库方式: OAI收割
来源:高能物理研究所
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