1210.7762 (Martin Kunz et al.)

BEAMS: separating the wheat from the chaff in supernova analysis    [PDF]

Martin Kunz, Renée Hlozek, Bruce A. Bassett, Mathew Smith, James Newling, Melvin Varughese

We introduce Bayesian Estimation Applied to Multiple Species (BEAMS), an algorithm designed to deal with parameter estimation when using contaminated data. We present the algorithm and demonstrate how it works with the help of a Gaussian simulation. We then apply it to supernova data from the Sloan Digital Sky Survey (SDSS), showing how the resulting confidence contours of the cosmological parameters shrink significantly.

View original: http://arxiv.org/abs/1210.7762