Mathematics – Logic
Scientific paper
Dec 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aas...205.6918l&link_type=abstract
American Astronomical Society Meeting 205, #69.18; Bulletin of the American Astronomical Society, Vol. 36, p.1462
Mathematics
Logic
2
Scientific paper
The Dark Energy Survey (DES) is a 5000 sq. deg. griz imaging survey to be conducted using a proposed 3 sq. deg. wide-field mosaic camera on the CTIO Blanco 4m telescope. The primary scientific goal of the DES is to constrain dark energy cosmological parameters via 4 complementary methods: galaxy clusters, weak lensing, galaxy angular correlations, and Type Ia supernovae. Crucial to DES science is the measurement of well-understood photometric redshifts, derived from the survey griz imaging, for both cluster and field galaxies alike. Here we present the results of photometric redshift simulations for the DES, showing in particular comparisons and optimizations of photometric redshift error distributions, as derived from a number of different photometric redshift techniques, including template fitting, polynomial fitting, neural networks, and hybrid methods. We also examine the issues of the size of the necessary spectroscopic redshift training sample, and of the choice of filter set, including the benefits of adding complementary near-IR imaging data.
Collister Adrian
Cunha Carlos
Dark Energy Survey Collaboration
Frieman Josh
Lahav Ofer
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