Testing the Schwartz Information Criteria with Simulated Supernova Light Curves

Details Testing the Schwartz Information Criteria with Simulated Supernova Light Curves Testing the Schwartz Information Criteria with Simulated Supernova Light Curves

Jan 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21733707v&link_type=abstract

American Astronomical Society, AAS Meeting #217, #337.07; Bulletin of the American Astronomical Society, Vol. 43, 2011

Astronomy and Astrophysics

Astronomy

Scientific paper

Type Ia supernovae (SNe Ia) are a staple of experimental cosmology due to their uniquely uniform intrinsic brightnesses, allowing them to be used as standard candles. Recently, however, there have been some questions raised about whether or not there are one or two populations of SNe Ia. We have performed extensive Monte Carlo simulations to test the ability of the so-called Schwartz Information Criterion (SIC) to accurately predict whether available supernova data comes from a single population or from two.

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