activity
20122026
most citedDark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

1.2k citations · 29.3k across the 390 of their papers we have counts for

collaborators
Showing 2015 · astro-ph.IMShow all

6 papers · 2 filters

astro-ph.IM2015★ 98 cited

The LSST Data Management System

Mario Jurić, Jeffrey Kantor, K-T Lim +62

The Large Synoptic Survey Telescope (LSST) is a large-aperture, wide-field, ground-based survey system that will image the sky in six optical bands from 320 to 1050 nm, uniformly c…

astro-ph.IM2015★ 15 cited

Crowdsourcing quality control for Dark Energy Survey images

P. Melchior, E. Sheldon, A. Drlica-Wagner +47

We have developed a crowdsourcing web application for image quality control employed by the Dark Energy Survey. Dubbed the "DES exposure checker", it renders science-grade images d…

astro-ph.IM2015★ 208 cited

redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data

E. Rozo, E. S. Rykoff, A. Abate +84

We introduce redMaGiC, an automated algorithm for selecting Luminous Red Galaxies (LRGs). The algorithm was specifically developed to minimize photometric redshift uncertainties in…

astro-ph.IM2015★ 189 cited

The DES Science Verification Weak Lensing Shear Catalogues

M. Jarvis, E. Sheldon, J. Zuntz +92

We present weak lensing shear catalogues for 139 square degrees of data taken during the Science Verification (SV) time for the new Dark Energy Camera (DECam) being used for the Da…

astro-ph.IM2015★ 169 cited

The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey

R. Kessler, J. Marriner, M. Childress +60

We describe the difference imaging pipeline (DiffImg) used to detect transients in deep images from the Dark Energy Survey Supernova program (DES-SN) in its first observing season…

astro-ph.IM2015★ 50 cited

A Hybrid Ensemble Learning Approach to Star-Galaxy Classification

Edward J. Kim, Robert J. Brunner, Matias Carrasco Kind

There exist a variety of star-galaxy classification techniques, each with their own strengths and weaknesses. In this paper, we present a novel meta-classification framework that c…