Classifying gamma-ray bursts with Gaussian Mixture Model
文献类型：期刊论文
| 作者 | Choi, CS; Chang, HY; Zhang, ZB; Shi WQ(石伟群) ; Yang, EB
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| 刊名 | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
 |
| 出版日期 | 2016 |
| 卷号 | 462期号:3页码:3243 |
| 关键词 | methods: data analysis methods: statistical gamma-ray burst: general |
| DOI | 10.1093/mnras/stw1835 |
| 通讯作者 | 杨恩博 |
| 英文摘要 | Using Gaussian Mixture Model (GMM) and expectation-maximization algorithm, we perform an analysis of time duration (T-90) for Compton Gamma Ray Observatory (CGRO)/BATSE, Swift/BAT and Fermi/GBM gamma-ray bursts (GRBs). The T-90 distributions of 298 redshift-known Swift/BAT GRBs have also been studied in both observer and rest frames. Bayesian information criterion has been used to compare between different GMM models. We find that two Gaussian components are better to describe the CGRO/BATSE and Fermi/GBM GRBs in the observer frame. Also, we caution that two groups are expected for the Swift/BAT bursts in the rest frame, which is consistent with some previous results. However, Swift GRBs in the observer frame seem to show a trimodal distribution, of which the superficial intermediate class may result from the selection effect of Swift/BAT. |
| 语种 | 英语 |
| WOS记录号 | WOS:000384676000066 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/260795]  |
| 专题 | 高能物理研究所_粒子天体物理中心 高能物理研究所_多学科研究中心 |
| 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 | Choi, CS,Chang, HY,Zhang, ZB,et al. Classifying gamma-ray bursts with Gaussian Mixture Model[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2016,462(3):3243. |
| APA | Choi, CS,Chang, HY,Zhang, ZB,石伟群,&Yang, EB.(2016).Classifying gamma-ray bursts with Gaussian Mixture Model.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,462(3),3243. |
| MLA | Choi, CS,et al."Classifying gamma-ray bursts with Gaussian Mixture Model".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 462.3(2016):3243. |
入库方式： OAI收割
来源：高能物理研究所
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