NAOC Open IR  > 光学天文研究部
Bayesian analysis of type Ia supernova data
Wang, XF; Zhou, X; Li, ZW; Chen, L
2003-10-01
Source PublicationCHINESE PHYSICS LETTERS
Volume20Issue:10Pages:1903-1906
AbstractRecently, the distances to type la supernova (SN Ia) at z similar to 0.5 have been measured with the motivation of estimating cosmological parameters. However, different sleuthing techniques tend to give inconsistent measurements for SN Ia distances (similar to0.3 mag), which significantly affects the determination of cosmological parameters. A Bayesian "hyper-parameter" procedure is used to analyse jointly the current SN Ia data, which considers the relative weights of different datasets. For a flat Universe, the combining analysis yields Omega(M) = 0.20 +/- 0.07.
Indexed BySCI
Language英语
WOS IDWOS:000186039100070
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/8438
Collection光学天文研究部
Affiliation1.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
2.Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China
Recommended Citation
GB/T 7714
Wang, XF,Zhou, X,Li, ZW,et al. Bayesian analysis of type Ia supernova data[J]. CHINESE PHYSICS LETTERS,2003,20(10):1903-1906.
APA Wang, XF,Zhou, X,Li, ZW,&Chen, L.(2003).Bayesian analysis of type Ia supernova data.CHINESE PHYSICS LETTERS,20(10),1903-1906.
MLA Wang, XF,et al."Bayesian analysis of type Ia supernova data".CHINESE PHYSICS LETTERS 20.10(2003):1903-1906.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, XF]'s Articles
[Zhou, X]'s Articles
[Li, ZW]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, XF]'s Articles
[Zhou, X]'s Articles
[Li, ZW]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, XF]'s Articles
[Zhou, X]'s Articles
[Li, ZW]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.