Mathematics – Logic
Scientific paper
Mar 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aas...21115810t&link_type=abstract
American Astronomical Society, AAS Meeting #211, #158.10
Mathematics
Logic
Scientific paper
The need for reliable and accurate photometric supernovae light curves has increased recently with the proposal of several wide-field imaging surveys. Through photometric measurements, the type and the redshift of the supernova can be determined. In order to ensure an accurate and reliable determination of redshifts through photometric data, a full study of the possible errors introduced through this method is needed.
SNAP, the Supernova Acceleration Probe, is a proposed space-based telescope that will perform a wild-field imaging survey to collect supernova light curves. The redshift of these supernovae must also be determined in order to make them useful as cosmological probes. Using the SNAP simulation code, redshift errors are considered and the effects upon the calculated cosmology can be analyzed. The simulation begins by creating many different supernova of varying redshifts. For each supernova, light curves are measured and a measured redshift is assigned from a Gaussian distribution with a predetermined standard deviation. The new redshift is the used to calculate supernova distance moduli and several cosmological parameters. By varying the standard deviation on the redshift error distributions the effects can be in the final cosmology. Understanding the correlation between redshift error and the final cosmology allows projects to set redshift measurement requirements.
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