中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Application of Deep-learning Methods for Distinguishing Gamma-Ray Bursts from Fermi/GBM Time-tagged Event Data

文献类型:期刊论文

作者Zhang, Peng; Li, Bing; Gui, Renzhou; Xiong, Shaolin; Zou, Ze-Cheng; Wang, Xianggao; Li, Xiaobo; Cai, Ce; Zhao, Yi; Zhang, Yanqiu
刊名ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
出版日期2024
卷号272期号:1页码:4
ISSN号0067-0049
DOI10.3847/1538-4365/ad2de5
文献子类Article
电子版国际标准刊号1538-4365
WOS记录号WOS:001206091700001
源URL[https://ir.ihep.ac.cn/handle/311005/305885]  
专题高能物理研究所_粒子天体物理中心
推荐引用方式
GB/T 7714
Zhang, Peng,Li, Bing,Gui, Renzhou,et al. Application of Deep-learning Methods for Distinguishing Gamma-Ray Bursts from Fermi/GBM Time-tagged Event Data[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2024,272(1):4.
APA Zhang, Peng.,Li, Bing.,Gui, Renzhou.,Xiong, Shaolin.,Zou, Ze-Cheng.,...&Zhao, Hongyu.(2024).Application of Deep-learning Methods for Distinguishing Gamma-Ray Bursts from Fermi/GBM Time-tagged Event Data.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,272(1),4.
MLA Zhang, Peng,et al."Application of Deep-learning Methods for Distinguishing Gamma-Ray Bursts from Fermi/GBM Time-tagged Event Data".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 272.1(2024):4.

入库方式: OAI收割

来源:高能物理研究所

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