中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning

文献类型:期刊论文

作者Feng, Jie; Li, Mingqiu; Yan, Qi-Shu; Zeng, Yu-Pan; Zhang, Hong-Hao; Zhang, Yongchao; Zhao, Zhijie
刊名JOURNAL OF HIGH ENERGY PHYSICS
出版日期2022
期号9页码:141
ISSN号1029-8479
DOI10.1007/JHEP09(2022)141
文献子类Article
语种英语
WOS记录号WOS:000859849100001
源URL[http://ir.ihep.ac.cn/handle/311005/299656]  
专题高能物理研究所_理论物理室
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
Feng, Jie,Li, Mingqiu,Yan, Qi-Shu,et al. Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning[J]. JOURNAL OF HIGH ENERGY PHYSICS,2022(9):141.
APA Feng, Jie.,Li, Mingqiu.,Yan, Qi-Shu.,Zeng, Yu-Pan.,Zhang, Hong-Hao.,...&Zhao, Zhijie.(2022).Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning.JOURNAL OF HIGH ENERGY PHYSICS(9),141.
MLA Feng, Jie,et al."Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning".JOURNAL OF HIGH ENERGY PHYSICS .9(2022):141.

入库方式: OAI收割

来源:高能物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。