Systematics and Bias Studies for Dark Energy Survey Supernovae

Details Systematics and Bias Studies for Dark Energy Survey Supernovae Systematics and Bias Studies for Dark Energy Survey Supernovae

Jan 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21334803b&link_type=abstract

American Astronomical Society, AAS Meeting #213, #348.03; Bulletin of the American Astronomical Society, Vol. 41, p.484

Statistics

Scientific paper

We present the status of the supernova (SN) observing strategy for the upcoming Dark Energy Survey (DES) to be undertaken with the Blanco telescope at the Cerro Tololo Inter-American Observatory (CTIO). We pursue detailed simulations utilizing a public SN analysis package (SNANA) that generates realistic SN light curves taking into account atmospheric seeing conditions, Milky-Way & host-galaxy extinction, and intrinsic SN luminosity variations. We include stat-noise from photo-statistics, sky noise, and detailed weather conditions based on five years of observations at CTIO. We applied SNANA to simulate DES SNe observations and employed an MLCS-based fitter to obtain the distance modulus and extinction for each simulated light curve. Balancing the effects of statistics, quantified via the Dark Energy Task Force figure of merit, while minimizing that of a SN selection bias, has led the DES SN working group to favor a hybrid SN survey comprised of a mixture of fields with long and short exposure times. As that initial study included statistics only, we subsequently shifted focus to the extension of our SNANA modeling to include systematic effects and here report the results.

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