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20102026
most citedDark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

1.2k citations · 33.8k across the 488 of their papers we have counts for

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Showing 2015Show all

39 papers · 1 filter

astro-ph.CO2015★ 58 cited

Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing

D. Kirk, Y. Omori, A. Benoit-Lévy +89

We measure the cross-correlation between weak lensing of galaxy images and of the cosmic microwave background (CMB). The effects of gravitational lensing on different sources will…

astro-ph.CO2015★ 31 cited

Observation and Confirmation of Six Strong Lensing Systems in The Dark Energy Survey Science Verification Data

B. Nord, E. Buckley-Geer, H. Lin +89

We report the observation and confirmation of the first group- and cluster-scale strong gravitational lensing systems found in Dark Energy Survey (DES) data. Through visual inspect…

astro-ph.GA2015★ 29 cited

Physical properties of star clusters in the outer LMC as observed by the Dark Energy Survey

A. Pieres, B. Santiago, E. Balbinot +57

The Large Magellanic Cloud (LMC) harbors a rich and diverse system of star clusters, whose ages, chemical abundances, and positions provide information about the LMC history of sta…

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.CO2015★ 4 cited

Photometric redshifts and clustering of emission line galaxies selected jointly by DES and eBOSS

S. Jouvel, T. Delubac, J. Comparat +65

We present the results of the first test plates of the extended Baryon Oscillation Spectroscopic Survey. This paper focuses on the emission line galaxies (ELG) population targetted…

astro-ph.CO2015★ 51 cited

SDSS-IV eBOSS emission-line galaxy pilot survey

J. Comparat, T. Delubac, S. Jouvel +83

The Sloan Digital Sky Survey IV extended Baryonic Oscillation Spectroscopic Survey (SDSS-IV/eBOSS) will observe 195,000 emission-line galaxies (ELGs) to measure the Baryonic Acoust…

astro-ph.GA2015★ 42 cited

Discovery of a Stellar Overdensity in Eridanus-Phoenix in the Dark Energy Survey

T. S. Li, E. Balbinot, N. Mondrik +56

We report the discovery of an excess of main sequence turn-off stars in the direction of the constellations of Eridanus and Phoenix from the first year data of the Dark Energy Surv…

astro-ph.GA2015★ 54 cited

The Phoenix stream: a cold stream in the Southern hemisphere

E. Balbinot, B. Yanny, T. S. Li +49

We report the discovery of a stellar stream in the Dark Energy Survey (DES) Year 1 (Y1A1) data. The discovery was made through simple color-magnitude filters and visual inspection…

astro-ph.GA2015★ 60 cited

Digging deeper into the Southern skies: a compact Milky-Way companion discovered in first-year Dark Energy Survey data

E. Luque, A. Queiroz, B. Santiago +61

The Dark Energy Survey (DES) is a 5000 sq. degree survey in the southern hemisphere, which is rapidly reducing the existing north-south asymmetry in the census of MW satellites and…

astro-ph.GA2015★ 47 cited

Discovery of two gravitationally lensed quasars in the Dark Energy Survey

Adriano Agnello, Tommaso Treu, Fernanda Ostrovski +77

We present spectroscopic confirmation of two new lensed quasars via data obtained at the 6.5m Magellan/Baade Telescope. The lens candidates have been selected from the Dark Energy…

astro-ph.GA2015★ 534 cited

Eight Ultra-faint Galaxy Candidates Discovered in Year Two of the Dark Energy Survey

The DES Collaboration, A. Drlica-Wagner, K. Bechtol +74

We report the discovery of eight new ultra-faint dwarf galaxy candidates in the second year of optical imaging data from the Dark Energy Survey (DES). Six of these candidates are d…

astro-ph.CO2015★ 68 cited

Performance of internal Covariance Estimators for Cosmic Shear Correlation Functions

O. Friedrich, S. Seitz, T. F. Eifler +1

Data re-sampling methods such as the delete-one jackknife are a common tool for estimating the covariance of large scale structure probes. In this paper we investigate the concepts…

astro-ph.CO2015★ 151 cited

Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing

C. Bonnett, M. A. Troxel, W. Hartley +104

We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learni…

astro-ph.CO2015★ 65 cited

Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data

B. Leistedt, H. V. Peiris, F. Elsner +92

Spatially-varying depth and characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy surv…

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.EP2015★ 27 cited

Observation of Two New L4 Neptune Trojans in the Dark Energy Survey Supernova Fields

D. W. Gerdes, R. J. Jennings, G. M. Bernstein +62

We report the discovery of the eighth and ninth known Trojans in stable orbits around Neptune's leading Lagrange point, L4. The objects 2014 QO and 2014 QP were det…

astro-ph.GA2015★ 97 cited

No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey

E. Suchyta, E. M. Huff, J. Aleksić +72

Accurate statistical measurement with large imaging surveys has traditionally required throwing away a sizable fraction of the data. This is because most measurements have have rel…

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.CO2015★ 105 cited

Cosmic Shear Measurements with DES Science Verification Data

M. R. Becker, M. A. Troxel, N. MacCrann +102

We present measurements of weak gravitational lensing cosmic shear two-point statistics using Dark Energy Survey Science Verification data. We demonstrate that our results are robu…

astro-ph.CO2015★ 178 cited

Cosmology from Cosmic Shear with DES Science Verification Data

The Dark Energy Survey Collaboration, T. Abbott, F. B. Abdalla +126

We present the first constraints on cosmology from the Dark Energy Survey (DES), using weak lensing measurements from the preliminary Science Verification (SV) data. We use 139 squ…

astro-ph.CO2015★ 119 cited

CMB lensing tomography with the DES Science Verification galaxies

T. Giannantonio, P. Fosalba, R. Cawthon +101

We measure the cross-correlation between the galaxy density in the Dark Energy Survey (DES) Science Verification data and the lensing of the cosmic microwave background (CMB) as re…

astro-ph.CO2015★ 93 cited

Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data

M. Crocce, J. Carretero, A. H. Bauer +84

We study the clustering of galaxies detected at in the Science Verification observations of the Dark Energy Survey (DES). Two-point correlation functions are measured usin…

astro-ph.CO2015★ 20 cited

Joint Analysis of Galaxy-Galaxy Lensing and Galaxy Clustering: Methodology and Forecasts for DES

Y. Park, E. Krause, S. Dodelson +68

The joint analysis of galaxy-galaxy lensing and galaxy clustering is a promising method for inferring the growth function of large scale structure. This analysis will be carried ou…

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…