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

1.2k citations · 6.2k across the 88 of their papers we have counts for

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Showing 2017Show all

9 papers · 1 filter

astro-ph.CO2017★ 56 cited

Dark Energy Survey Year 1 Results: The Impact of Galaxy Neighbours on Weak Lensing Cosmology with im3shape

S. Samuroff, S. L. Bridle, J. Zuntz +68

We use a suite of simulated images based on Year 1 of the Dark Energy Survey to explore the impact of galaxy neighbours on shape measurement and shear cosmology. The hoopoe image s…

astro-ph.CO2017★ 661 cited

Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear

M. A. Troxel, N. MacCrann, J. Zuntz +132

We use 26 million galaxies from the Dark Energy Survey (DES) Year 1 shape catalogs over 1321 deg of the sky to produce the most significant measurement of cosmic shear in a gal…

astro-ph.CO2017★ 97 cited

Dark Energy Survey Year 1 Results: Curved-Sky Weak Lensing Mass Map

C. Chang, A. Pujol, B. Mawdsley +117

We construct the largest curved-sky galaxy weak lensing mass map to date from the DES first-year (DES Y1) data. The map, about 10 times larger than previous work, is constructed ov…

astro-ph.CO2017★ 204 cited

Dark Energy Survey Year 1 Results: Weak Lensing Shape Catalogues

J. Zuntz, E. Sheldon, S. Samuroff +104

We present two galaxy shape catalogues from the Dark Energy Survey Year 1 data set, covering 1500 square degrees with a median redshift of . The catalogues cover two main fie…

astro-ph.CO2017★ 1.2k cited

Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

DES Collaboration, T. M. C. Abbott, F. B. Abdalla +197

We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321 deg of imaging data from the first year of the D…

astro-ph.CO2017★ 26 cited

Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions

Tomasz Kacprzak, Jörg Herbel, Adam Amara +1

Approximate Bayesian Computation (ABC) is a method to obtain a posterior distribution without a likelihood function, using simulations and a set of distance metrics. For that reaso…

astro-ph.CO2017★ 9 cited

Cosmic shear calibration with forward modeling

Claudio Bruderer, Andrina Nicola, Adam Amara +3

Weak Gravitational Lensing is a powerful probe of the dark sector of the Universe. One of the main challenges for this technique is the treatment of systematics in the measurement…

astro-ph.CO2017★ 24 cited

Cosmological model discrimination with Deep Learning

Jorit Schmelzle, Aurelien Lucchi, Tomasz Kacprzak +4

We demonstrate the potential of Deep Learning methods for measurements of cosmological parameters from density fields, focusing on the extraction of non-Gaussian information. We co…

astro-ph.CO2017★ 33 cited

The redshift distribution of cosmological samples: a forward modeling approach

Jörg Herbel, Tomasz Kacprzak, Adam Amara +3

Determining the redshift distribution of galaxy samples is essential for several cosmological probes including weak lensing. For imaging surveys, this is usually done using…