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Title: Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data

Journal Article · · Monthly Notices of the Royal Astronomical Society
DOI:https://doi.org/10.1093/mnras/stv398· OSTI ID:1201361
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  1. The Ohio State Univ., Columbus, OH (United States)
  2. Univ. College London, London (United Kingdom)
  3. Univ. of Manchester, Manchester (United Kingdom)
  4. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  5. Univ. Observatory Munich, Munich (Germany)
  6. Univ. of Pennsylvania, Philadelphia, PA (United States)
  7. Univ. of Portsmouth, Portsmouth (United Kingdom)
  8. Univ. of Chicago, Chicago, IL (United States)
  9. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  10. Brookhaven National Lab. (BNL), Upton, NY (United States)
  11. Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, La Serena (Chile)
  12. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Space Telescope Science Institute, Baltimore, MD (United States)
  13. Argonne National Lab. (ANL), Argonne, IL (United States)
  14. Carnegie Observatories, Pasadena, CA (United States)
  15. Univ. Pierre et Marie Curie, Paris (France)
  16. SLAC National Accelerator Lab., Menlo Park, CA (United States); Stanford Univ., Stanford, CA (United States)
  17. Institut de Ciencies de l'Espai, Barcelona (Spain)
  18. Observatorio Nacional, Rio de Janeiro (Brazil); Lab. Interinstitucional de e-Astronomia, Rio de Janeiro (Brazil)
  19. Stanford Univ., Stanford, CA (United States)
  20. Texas A & M Univ., College Station, TX (United States)
  21. Ludwig Maximilian Univ., Munich (Germany); Excellence Cluster Universe, Garching (Germany)
  22. Univ. Pierre et Marie Curie, Paris (France); Univ. of Michigan, Ann Arbor, MI (United States)
  23. Lab. Interinstitucional de e-Astronomia, Rio de Janeiro (Brazil)
  24. Univ. Autonoma de Barcelona, Barcelona (Spain)
  25. Univ. of Chicago, Chicago, IL (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  26. Univ. of Michigan, Ann Arbor, MI (United States)
  27. Univ. of Illinois, Urbana, IL (United States); National Center for Supercomputing Applications, Urbana, IL (United States)
  28. Univ. of Illinois, Urbana, IL (United States)
  29. Australian Astronomical Observatory (Australia)
  30. Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro (Brazil)
  31. Univ. Autonoma de Barcelona, Barcelona (Spain); Institucio Catalana de Recerca i Estudis Avancats, Barcelona (Spain)
  32. Ludwig Maximilian Univ., Munich (Germany)
  33. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  34. Centro de Investigaciones Energeticas, Madrid (Spain)
  35. Lab. Interinstitucional de e-Astronomia, Rio de Janeiro (Brazil); Instituto de Fisica, Port Alegre (Brazil)
  36. National Center for Supercomputing Applications, Urbana, IL (United States)
  37. Univ. of Portsmouth, Portsmouth (United Kingdom); South East Physics Network (United Kingdom)
  38. Univ. Observatory Munich, Munich (Germany); Max Planck Institute for Extraterrestrial Physics; Garching (Germany); Excellence Cluster Universe, Garching (Germany)

Here, we measure the weak-lensing masses and galaxy distributions of four massive galaxy clusters observed during the Science Verification phase of the Dark Energy Survey. This pathfinder study is meant to 1) validate the DECam imager for the task of measuring weak-lensing shapes, and 2) utilize DECam's large field of view to map out the clusters and their environments over 90 arcmin. We conduct a series of rigorous tests on astrometry, photometry, image quality, PSF modeling, and shear measurement accuracy to single out flaws in the data and also to identify the optimal data processing steps and parameters. We find Science Verification data from DECam to be suitable for the lensing analysis described in this paper. The PSF is generally well-behaved, but the modeling is rendered difficult by a flux-dependent PSF width and ellipticity. We employ photometric redshifts to distinguish between foreground and background galaxies, and a red-sequence cluster finder to provide cluster richness estimates and cluster-galaxy distributions. By fitting NFW profiles to the clusters in this study, we determine weak-lensing masses that are in agreement with previous work. For Abell 3261, we provide the first estimates of redshift, weak-lensing mass, and richness. In addition, the cluster-galaxy distributions indicate the presence of filamentary structures attached to 1E 0657-56 and RXC J2248.7-4431, stretching out as far as 1 °(approximately 20 Mpc), showcasing the potential of DECam and DES for detailed studies of degree-scale features on the sky.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Organization:
DES Collaboration
Grant/Contract Number:
SC00112704; AC02-76SF00515
OSTI ID:
1201361
Alternate ID(s):
OSTI ID: 1335076
Report Number(s):
BNL-108181-2015-JA; SLAC-PUB-16759; KA2301020
Journal Information:
Monthly Notices of the Royal Astronomical Society, Vol. 449, Issue 3; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 54 works
Citation information provided by
Web of Science

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Cited By (24)

CLASH-VLT: A highly precise strong lensing model of the galaxy cluster RXC J2248.7−4431 (Abell S1063) and prospects for cosmography journal February 2016
Cosmology from cosmic shear with Dark Energy Survey Science Verification data journal July 2016
AMICO galaxy clusters in KiDS-DR3: weak lensing mass calibration journal January 2019
Lensing measurements of the ellipticity of luminous red galaxies dark matter haloes journal February 2016
CLASH-VLT: constraints onf(R) gravity models with galaxy clusters using lensing and kinematic analyses journal July 2017
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing text January 2017
Characterization and correction of charge-induced pixel shifts in DECam text January 2015
Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters journal October 2018
Galaxy shape measurement with convolutional neural networks text January 2019
The Redmapper Galaxy Cluster Catalog from des Science Verification data journal May 2016
Characterization and correction of charge-induced pixel shifts in DECam journal May 2015
Searching for galaxy clusters in the Kilo-Degree Survey journal February 2017
The evolution of active galactic nuclei in clusters of galaxies from the Dark Energy Survey journal November 2016
Comparison of hydrostatic and dynamical masses of distant X-ray luminous galaxy clusters journal October 2017
Candidate massive galaxies at z  ∼ 4 in the Dark Energy Survey journal December 2018
DECam survey for low-mass stars and substellar objects in the UCL and LCC subgroups of the Sco-Cen OB Association (SCOCENSUS) journal January 2019
Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters text January 2018
The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles journal August 2018
Comparison of hydrostatic and dynamical masses of distant X-ray luminous galaxy clusters text January 2017
Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing journal August 2018
The High-redshift Clusters Occupied by Bent Radio AGN (COBRA) Survey: Follow-up Optical Imaging journal December 2019
Gravitational lensing analysis of the Kilo-Degree Survey journal October 2015
The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles text January 2017
Galaxy shape measurement with convolutional neural networks journal August 2019