Deep learning jet images as a probe of light Higgsino dark matter at the LHC
文献类型:期刊论文
作者 | Lv, Huifang4; Wang, Daohan1,2; Wu, Lei4 |
刊名 | PHYSICAL REVIEW D |
出版日期 | 2022 |
卷号 | 106期号:5页码:55008 |
ISSN号 | 2470-0010 |
DOI | 10.1103/PhysRevD.106.055008 |
英文摘要 | A Higgsino in supersymmetric standard models can play the role of a dark matter particle. In conjunction with the naturalness criterion, the Higgsino mass parameter is expected to be around the electroweak scale. In this work, we explore the potential of probing the nearly degenerate light Higgsinos with machine learning at the LHC. By analyzing jet images and other jet substructure information, we use the convolutional neural network to enhance the signal significance. We find that our deep learning jet image method can improve the previous result based on the conventional cut flow by about a factor of 2 at the High-Luminosity LHC. |
学科主题 | Astronomy & Astrophysics ; Physics |
语种 | 英语 |
源URL | [http://ir.itp.ac.cn/handle/311006/27726] |
专题 | 理论物理研究所_理论物理所1978-2010年知识产出 |
作者单位 | 1.Nanjing Normal Univ, Inst Theoret Phys, Nanjing 210023, Peoples R China 2.Chinese Acad Sci, Inst Theoret Phys, CAS Key Lab Theoret Phys, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China 4.Nanjing Normal Univ, Dept Phys, Nanjing 210023, Peoples R China |
推荐引用方式 GB/T 7714 | Lv, Huifang,Wang, Daohan,Wu, Lei. Deep learning jet images as a probe of light Higgsino dark matter at the LHC[J]. PHYSICAL REVIEW D,2022,106(5):55008. |
APA | Lv, Huifang,Wang, Daohan,&Wu, Lei.(2022).Deep learning jet images as a probe of light Higgsino dark matter at the LHC.PHYSICAL REVIEW D,106(5),55008. |
MLA | Lv, Huifang,et al."Deep learning jet images as a probe of light Higgsino dark matter at the LHC".PHYSICAL REVIEW D 106.5(2022):55008. |
入库方式: OAI收割
来源:理论物理研究所
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