Knowledge Management System of Institute of Theoretical Physics, CAS
Abdughani, Murat1,2,3; Ren, Jie2,3; Wu, Lei1; Yang, Jin Min2,3,4 | |
Probing stop pair production at the LHC with graph neural networks | |
Source Publication | JOURNAL OF HIGH ENERGY PHYSICS
![]() |
Language | 英语 |
Keyword | MEASURING MASSES HADRON |
Abstract | Top-squarks (stops) play a crucial role for the naturalness of supersymmetry (SUSY). However, searching for the stops is a tough task at the LHC. To dig the stops out of the huge LHC data, various expert-constructed kinematic variables or cutting-edge analysis techniques have been invented. In this paper, we propose to represent collision events as event graphs and use the message passing neutral network (MPNN) to analyze the events. As a proof-of-concept, we use our method in the search of the stop pair production at the LHC, and find that our MPNN can efficiently discriminate the signal and back-ground events. In comparison with other machine learning methods (e.g. DNN), MPNN can enhance the mass reach of stop mass by several tens of GeV to over a hundred GeV. |
2019 | |
ISSN | 1029-8479 |
Issue | 8Pages:55 |
Cooperation Status | 国际 |
Subject Area | Physics |
MOST Discipline Catalogue | Physics, Particles & Fields |
DOI | 10.1007/JHEP08(2019)055 |
Indexed By | SCIE |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.itp.ac.cn/handle/311006/27066 |
Collection | SCI期刊论文 |
Affiliation | 1.Nanjing Normal Univ, Dept Phys, Nanjing 210023, Jiangsu, Peoples R China 2.Nanjing Normal Univ, Inst Theoret Phys, Nanjing 210023, Jiangsu, 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, Beijing 100049, Peoples R China 5.Tohoku Univ, Dept Phys, Sendai, Miyagi 9808578, Japan |
Recommended Citation GB/T 7714 | Abdughani, Murat,Ren, Jie,Wu, Lei,et al. Probing stop pair production at the LHC with graph neural networks[J]. JOURNAL OF HIGH ENERGY PHYSICS,2019(8):55. |
APA | Abdughani, Murat,Ren, Jie,Wu, Lei,&Yang, Jin Min.(2019).Probing stop pair production at the LHC with graph neural networks.JOURNAL OF HIGH ENERGY PHYSICS(8),55. |
MLA | Abdughani, Murat,et al."Probing stop pair production at the LHC with graph neural networks".JOURNAL OF HIGH ENERGY PHYSICS .8(2019):55. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment