Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC
文献类型：期刊论文
| 作者 | Ren, Jie1,2,3; Wu, Lei1; Yang, Jin Min2,3,4 |
| 刊名 | PHYSICS LETTERS B
 |
| 出版日期 | 2020 |
| 卷号 | 802页码:135198 |
| ISSN号 | 0370-2693 |
| 关键词 | BOSON MODEL |
| DOI | 10.1016/j.physletb.2020.135198 |
| 英文摘要 | The top-Higgs coupling plays an important role in particle physics and cosmology. The precision measurements of this coupling can provide an insight to new physics beyond the Standard Model. In this paper, we propose to use Message Passing Neural Network (MPNN) to reveal the CP nature of top-Higgs interaction through semi-leptonic channel pp -> t(-> bl(-) v(l))(t) over bar(->(b) over bar jj)h(-> b (b) over bar). Using the test statistics constructed from the event classification probabilities given by the MPNN, we find that the pure CP-even and CP-odd components can be well distinguished at the LHC, with at most 300 fb(-1) experimental data. (C) 2020 The Authors. Published by Elsevier B.V. |
| 学科主题 | Astronomy & Astrophysics ; Physics |
| 语种 | 英语 |
| 源URL | [http://ir.itp.ac.cn/handle/311006/27128]  |
| 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, Dept Phys, Nanjing 210023, Peoples R China 2.Nanjing Normal Univ, Inst Theoret Phys, Nanjing 210023, Peoples R China 3.Chinese Acad Sci, Inst Theoret Phys, CAS Key Lab Theoret Phys, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China 5.Tohoku Univ, Dept Phys, Sendai, Miyagi 9808578, Japan |
| 推荐引用方式 GB/T 7714 | Ren, Jie,Wu, Lei,Yang, Jin Min. Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC[J]. PHYSICS LETTERS B,2020,802:135198. |
| APA | Ren, Jie,Wu, Lei,&Yang, Jin Min.(2020).Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC.PHYSICS LETTERS B,802,135198. |
| MLA | Ren, Jie,et al."Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC".PHYSICS LETTERS B 802(2020):135198. |
入库方式： OAI收割
来源：理论物理研究所
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