Supernovae Simulations and Strategies: Application to the Dark Energy Survey

Details Supernovae Simulations and Strategies: Application to the Dark Energy Survey Supernovae Simulations and Strategies: Application to the Dark Energy Survey

May 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21431302b&link_type=abstract

American Astronomical Society, AAS Meeting #214, #313.02; Bulletin of the American Astronomical Society, Vol. 41, p.754

Astronomy and Astrophysics

Astronomy

Scientific paper

We present an analysis of Type Ia supernova light curves simulated for the upcoming Dark Energy Survey (DES) supernova search. We employed a code suite that generates realistic supernova light curves taking into account atmospheric seeing conditions, dust extinction, and intrinsic supernova luminosity variations. The simulation and analysis package is flexible and can be used for any future survey. We employed an improved version of the MLCS2k2 light-curve fitter to obtain the distance modulus and extinction for each simulated light curve. We harnessed the fit results to investigate several different survey strategies including field selection, supernovae selection biases, and photometric redshift measurements.
We forecast that a DES griz supernova search will detect on the order of 3000 Type Ia supernovae that will ultimately have full spectroscopic host galaxy follow-up out to a redshift of 1. Thus, the DES will provide by far the largest self-contained high-redshift Type Ia sample to date, and significantly extend the reach of 4-band supernova photometry beyond that attained by the Sloan Digital Sky Survey. Prior to host follow-up, we will rely on photometric redshifts. Our simulations predict that for the DES, the distribution of photometric minus true supernova redshift will have a width of less than 3 percent and minimal non-Gaussian tails when the host galaxy photometric redshift is used as a prior. We further present estimates of 1) systematic effects on DES supernova observations and 2) the Dark Energy Task Force figure of merit.

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