Mathematics – Logic
Scientific paper
Jan 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21543033h&link_type=abstract
American Astronomical Society, AAS Meeting #215, #430.33; Bulletin of the American Astronomical Society, Vol. 42, p.361
Mathematics
Logic
Scientific paper
Recent studies have concluded that 95% of the Universe is not comprised of ordinary matter with 73% attributed to dark energy. Type Ia supernovae (SNe Ia) are well accepted as standard candles that can be used to study dark energy parameters. However, there is concern about contamination from non-SN Ia sources. To study non-SN Ia contamination, a parametric supernova simulation package (SNANA) was used to simulate SN light curves using prototypical templates of all SN types, and to assess the probability that each light curve was from a SN Ia (the fit probability). Each simulation generated contained a set of data for the spectroscopic redshift of the host galaxy as well as the photometric redshift. The Sloan Digital Sky Survey cosmological fitter was used to return the constant dark energy equation of state parameter, w0, implied by these simulations. A value of w0 = -1 was used when generating SN light curves. It was found that w0 was biased by 2-6 standard deviations depending on the fit probability cut as compared to w0 for a pure SN Ia dataset. It was further found that a significant loss of true SNe Ia due to the fit probability cut did not greatly impact the accuracy of the fitted w0 when using a pure SN Ia dataset. Current work on the simulations seeks to prepare a cut on the average distance modulus given a redshift range such that it is comparable to that for SNe Ia. Continued study on other SN selection cuts may further decrease contamination and improve the accuracy of the cosmological fit without a significant loss of true SNe Ia.
Bernstein Joseph P.
Cunningham J. D.
Hufford Tara
Kuhlmann S. T.
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