A. Carnero

Photometric redshift analysis in the Dark Energy Survey science verification data

We present results from a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification (SV) period of observations in late 2012 and early 2013 that provided science-quality images for almost 200 sq.~deg.~at the nominal depth of the survey. We assess the photometric redshift performance using about 15000 galaxies with spectroscopic redshifts available from other surveys. These galaxies are used, in different configurations, as a calibration sample, and photo-

The clustering of galaxies in the SDSS-III DR9 Baryon Oscillation Spectroscopic Survey: constraints on primordial non-Gaussianity

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The clustering of galaxies in the SDSS-III DR10 baryon oscillation spectroscopic survey: No detectable colour dependence of distance scale or growth rate measurements

s are obtained and studied using most of the existing photo-

Clustering of photometric luminous red galaxies – I. Growth of structure and baryon acoustic feature

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Clustering of photometric luminous red galaxies – II. Cosmological implications from the baryon acoustic scale

codes. A weighting method in a multi-dimensional color-magnitude space is applied to the spectroscopic sample in order to evaluate the photo-

MODELING THE TRANSFER FUNCTION FOR THE DARK ENERGY SURVEY

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Tracing the sound horizon scale with photometric redshift surveys

performance with sets that mimic the full DES photometric sample, which is on average significantly deeper than the calibration sample due to the limited depth of spectroscopic surveys. Empirical photo-

Combining Dark Energy Survey Science Verification Data with Near Infrared Data from the ESO VISTA Hemisphere Survey

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Galaxy populations in massive galaxy clusters to z = 1.1: color distribution, concentration, halo occupation number and red sequence fraction

methods using, for instance, Artificial Neural Networks or Random Forests, yield the best performance in the tests, achieving core photo-

Large-scale analysis of the SDSS-III DR8 photometric luminous galaxies angular correlation function

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