Supervised Deep Learning in High Energy Phenomenology: a Mini Review

doi:10.1088/0253-6102/71/8/955

ITP OpenIR > SCI期刊论文

	Abdughani, Murat ; Ren, Jie ; Wu, Lei 2,3; Yang, Jin-Min; Zhao, Jun 1
	Supervised Deep Learning in High Energy Phenomenology: a Mini Review
Source Publication	COMMUNICATIONS IN THEORETICAL PHYSICS
Language	英语
Keyword	NEURAL-NETWORKS DARK-MATTER PROGRAM MODEL ASYMMETRY GAME
Abstract	Deep learning, a branch of machine learning, has been recently applied to high energy experimental and phenomenological studies. In this note we give a brief review on those applications using supervised deep learning. We first describe various learning models and then recapitulate their applications to high energy phenomenological studies. Some detailed applications are delineated in details, including the machine learning scan in the analysis of new physics parameter space, the graph neural networks in the search of top-squark production and in the CP measurement of the top-Higgs coupling at the LHC.
	2019
ISSN	0253-6102
Volume	71 Issue:8 Pages:955-990
Cooperation Status	国际
Subject Area	Physics
MOST Discipline Catalogue	Physics, Multidisciplinary
DOI	10.1088/0253-6102/71/8/955
Indexed By	SCIE
Citation statistics	Cited Times:16[WOS] [WOS Record] [Related Records in WOS]
Document Type	期刊论文
Identifier	http://ir.itp.ac.cn/handle/311006/27100
Collection	SCI期刊论文
Affiliation	1.Chinese Acad Sci, Inst Theoret Phys, CAS Key Lab Theoret Phys, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Phys, Beijing 100049, Peoples R China 3.Nanjing Normal Univ, Dept Phys, Nanjing 210023, Jiangsu, Peoples R China 4.Nanjing Normal Univ, Inst Theoret Phys, Nanjing 210023, Jiangsu, 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. Supervised Deep Learning in High Energy Phenomenology: a Mini Review[J]. COMMUNICATIONS IN THEORETICAL PHYSICS,2019,71(8):955-990.
APA	Abdughani, Murat,Ren, Jie,Wu, Lei,Yang, Jin-Min,&Zhao, Jun.(2019).Supervised Deep Learning in High Energy Phenomenology: a Mini Review.COMMUNICATIONS IN THEORETICAL PHYSICS,71(8),955-990.
MLA	Abdughani, Murat,et al."Supervised Deep Learning in High Energy Phenomenology: a Mini Review".COMMUNICATIONS IN THEORETICAL PHYSICS 71.8(2019):955-990.

Files in This Item:
File Name/Size	DocType	Version	Access	License
Supervised Deep Lear（8625KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	Application Full Text

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Institution:
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh

中国科学院理论物理研究所机构知识库