Bayesian Analysis of Type Ia Supernova Data

Chin. Phys. Lett.

2003, Vol. 20

Issue (10): 1903-1906 DOI:

Original Articles

Bayesian Analysis of Type Ia Supernova Data

WANG Xiao-Feng¹;ZHOU Xu¹;LI Zong-Wei²;CHEN Li²

¹National Astronomical Observatory, Chinese Academy of Sciences, Beijing 100012 ²Astronomy Department, Beijing Normal University, Beijing 100875

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WANG Xiao-Feng, ZHOU Xu, LI Zong-Wei et al 2003 Chin. Phys. Lett. 20 1903-1906

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Abstract Recently the distances to type Ia supernova (SN Ia) at z ～ 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 (～0.3 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 Ω_M = 0.20±0.07.

Keywords: 98.80.Es 97.60.Bw 02.50.Cw

Published: 01 October 2003

PACS:	98.80.Es	(Observational cosmology (including Hubble constant, distance scale, cosmological constant, early Universe, etc))
	97.60.Bw	(Supernovae)
	02.50.Cw	(Probability theory)

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https://cpl.iphy.ac.cn/ OR https://cpl.iphy.ac.cn/Y2003/V20/I10/01903

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