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Title: Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data

Journal Article · · Physical Review Letters
 [1]
  1. ETH Zurich (Switzerland). et al.

We present a mass map reconstructed from weak gravitational lensing shear measurements over 139 deg2 from the Dark Energy Survey science verification data. The mass map probes both luminous and dark matter, thus providing a tool for studying cosmology. We also find good agreement between the mass map and the distribution of massive galaxy clusters identified using a red-sequence cluster finder. Potential candidates for superclusters and voids are identified using these maps. We measure the cross-correlation between the mass map and a magnitude-limited foreground galaxy sample and find a detection at the 6.8σ level with 20 arc min smoothing. These measurements are consistent with simulated galaxy catalogs based on N-body simulations from a cold dark matter model with a cosmological constant. This suggests low systematics uncertainties in the map. Finally, we summarize our key findings in this Letter; the detailed methodology and tests for systematics are presented in a companion paper.

Research Organization:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Organization:
DES Collaboration
Grant/Contract Number:
AC02-07CH11359; SC00112704
OSTI ID:
1223216
Alternate ID(s):
OSTI ID: 1204703; OSTI ID: 1226043
Report Number(s):
FERMILAB-PUB-15-343-AE; BNL-108403-2015-JA; arXiv eprint number arXiv:1505.01871
Journal Information:
Physical Review Letters, Vol. 115, Issue 5; ISSN 0031-9007
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 39 works
Citation information provided by
Web of Science

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Cited By (18)

Deep learning dark matter map reconstructions from DES SV weak lensing data journal January 2020
Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data journal August 2016
Lensing measurements of the ellipticity of luminous red galaxies dark matter haloes journal February 2016
The evolution of active galactic nuclei in clusters of galaxies from the Dark Energy Survey journal November 2016
Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing journal March 2016
The Dark Energy Survey: more than dark energy – an overview journal March 2016
Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with im3shape journal December 2017
Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: application to DES SV journal May 2018
The Redmapper Galaxy Cluster Catalog from des Science Verification data journal May 2016
Shels: Complete Redshift Surveys of two Widely Separated Fields journal May 2016
Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: Application to DES SV text January 2018
Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing text January 2015
The Dark Energy Survey: more than dark energy - an overview text January 2016
Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data text January 2016
SHELS: Complete Redshift Surveys of Two Widely Separated Fields text January 2016
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing text January 2017
Dark Energy Survey Year 1 Results: The Impact of Galaxy Neighbours on Weak Lensing Cosmology with im3shape text January 2017
Deep learning dark matter map reconstructions from DES SV weak lensing data text January 2019

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