Optimal Strategy Constraints for Dark Energy Survey Supernovae

Details Optimal Strategy Constraints for Dark Energy Survey Supernovae Optimal Strategy Constraints for Dark Energy Survey Supernovae

May 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aas...212.6404b&link_type=abstract

American Astronomical Society, AAS Meeting #212, #64.04; Bulletin of the American Astronomical Society, Vol. 40, p.256

Astronomy and Astrophysics

Astronomy

Scientific paper

We present simulations for the upcoming Dark Energy Survey (DES) supernova (SN) search. The goal of this work is to constrain the optimal DES observing strategy via maximizing the Dark Energy Task Force figure of merit. Toward this end, we apply a new code suite (SNANA) that generates realistic SN light curves taking into account atmospheric seeing conditions, Milky-Way and host-galaxy extinction, and intrinsic SN luminosity variations (using MLCS2k2 or SALT2 models). Simulated errors include noise from the signal, sky, and the host galaxy.
We applied SNANA to the simulation of DES SNe observations and employed an MLCS-based fitter to obtain the distance modulus for each simulated light curve. We harnessed the light curves and the Dark Energy Task Force figure of merit in order to optimize the choice of filter set and exposure time for each filter, the number of fields, observing cadence, and control of color systematics.

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