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Classifying gamma-ray bursts with Gaussian Mixture Model
Zhang, ZB; Shi WQ(石伟群); Yang, EB; Choi, CS; Chang, HY
2016
Source PublicationMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
ISSN0035-8711
EISSN1365-2966
Volume462Issue:3Pages:3243-3254
Corresponding Author杨恩博
SubtypeArticle
AbstractUsing 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.
Keywordmethods: data analysis methods: statistical gamma-ray burst: general
DOI10.1093/mnras/stw1835
WOS KeywordEXTENDED EMISSION ; DURATION DISTRIBUTION ; INTRINSIC DURATIONS ; SWIFT ERA ; BATSE ; GRBS ; CLASSIFICATION ; SELECTION ; CATALOG ; ENERGY
Indexed BySCI ; ADS ; ADS
Language英语
WOS IDWOS:000384676000066
ADS Bibcode2016MNRAS.462.3243Z
ADS URLhttps://ui.adsabs.harvard.edu/abs/2016MNRAS.462.3243Z
ADS CITATIONShttps://ui.adsabs.harvard.edu/abs/2016MNRAS.462.3243Z/citations
inspireid1427274
Citation statistics
Cited Times:17 [INSPIRE]
Cited Times:24 [ADS]
Document Type期刊论文
Identifierhttp://ir.ihep.ac.cn/handle/311005/260795
Collection粒子天体物理中心
多学科研究中心
Affiliation中国科学院高能物理研究所
Recommended Citation
GB/T 7714
Zhang, ZB,Shi WQ,Yang, EB,et al. Classifying gamma-ray bursts with Gaussian Mixture Model[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2016,462(3):3243-3254.
APA Zhang, ZB,石伟群,Yang, EB,Choi, CS,&Chang, HY.(2016).Classifying gamma-ray bursts with Gaussian Mixture Model.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,462(3),3243-3254.
MLA Zhang, ZB,et al."Classifying gamma-ray bursts with Gaussian Mixture Model".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 462.3(2016):3243-3254.
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