Bayesian analysis of type Ia supernova data

被引：0
|
作者：
Wang, XF [1 ]
Zhou, X
Li, ZW
Chen, L
机构：
[1] Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
[2] Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China
来源：
CHINESE PHYSICS LETTERS | 2003年 / 20卷 / 10期
关键词：
D O I：
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中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Recently, 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.
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页码：1903 / 1906
页数：4
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