Bayesian Analysis of Type Ia Supernova Data

Details Bayesian Analysis of Type Ia Supernova Data Bayesian Analysis of Type Ia Supernova Data

Oct 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003chphl..20.1903w&link_type=abstract

Chinese Physics Letters, Volume 20, Issue 10, pp. 1903-1906 (2003).

Physics

1

Scientific paper

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 OmegaM = 0.20±0.07.

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