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Title: Galaxy-galaxy lensing in the Dark Energy Survey science verification data

Journal Article · · Monthly Notices of the Royal Astronomical Society
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  1. Univ. of Pennsylvania, Philadelphia, PA (United States)
  2. Barcelona Inst. of Science and Technology, Barcelona (Spain)
  3. Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology
  4. Univ. of Manchester (United Kingdom)
  5. Univ. of Arizona, Tucson, AZ (United States); Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics (KICP)
  6. Univ. of Arizona, Tucson, AZ (United States)
  7. Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology; SLAC National Accelerator Lab., Menlo Park, CA (United States)
  8. The Ohio State Univ., Columbus, OH (United States)
  9. IEEC-CSIC, Barcelona (Spain)
  10. Brookhaven National Lab. (BNL), Upton, NY (United States)
  11. National Optical Astronomy Observatory, La Serena (Chile)
  12. Univ. of College London (United Kingdom); Rhodes Univ., Grahamstown (South Africa)
  13. Princeton Univ., NJ (United States)
  14. Univ. of College London (United Kingdom); CNRS, Paris (France); Sorbonne Univ., Paris (France)
  15. CNRS, Paris (France); Sorbonne Univ., Paris (France)
  16. Univ. of College London (United Kingdom)
  17. Interinstitutional Lab. of Astronomy and National Observatory, Rio de Janeiro (Brazil)
  18. Univ. of Illinois, Urbana, IL (United States); National Center for Supercomputing Applications, Urbana, IL (United States)
  19. Univ. of Portsmouth (United Kingdom); Univ. of Southampton (United Kingdom)
  20. Ludwig Maximilian Univ., Munich (Germany); Excellence Cluster Univ., Garching (Germany)
  21. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  22. Univ. of Michigan, Ann Arbor, MI (United States)
  23. Interinstitutional Lab. of Astronomy, Rio de Janiero (Brazil)
  24. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics (KICP)
  25. Australian Astronomical Observatory, North Ryde (Australia)
  26. Australian Astronomical Observatory, North Ryde (Australia); Univ. of Sao Paulo (Brazil)
  27. Texas A & M Univ., College Station, TX (United States)
  28. Ludwig Maximilian Univ., Munich (Germany); Excellence Cluster Universe, Garching (Germany); Max Planck Inst. for Extraterrestrial Physics, Garching (Physics)
  29. Univ. of Portsmouth (United Kingdom)
  30. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  31. Univ. of Sussex, Brighton (United Kingdom)
  32. Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas (CIEMAT), Madrid (Spain)
  33. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  34. National Center for Supercomputing Applications, Urbana, IL (United States)
  35. Argonne National Lab. (ANL), Argonne, IL (United States)
+ Show Author Affiliations

Here, we present galaxy-galaxy lensing results from 139 square degrees of Dark Energy Survey (DES) Science Verification (SV) data. Our lens sample consists of red galaxies, known as redMaGiC, which are specifically selected to have a low photometric redshift error and outlier rate. The lensing measurement has a total signal-to-noise of 29 over scales 0.09 < R < 15 Mpc/h, including all lenses over a wide redshift range 0.2 < z < 0.8. Dividing the lenses into three redshift bins for this constant moving number density sample, we find no evidence for evolution in the halo mass with redshift. We also obtain consistent results for the lensing measurement with two independent shear pipelines, ngmix and im3shape. We perform a number of null tests on the shear and photometric redshift catalogs and quantify resulting systematic uncertainties. Covariances from jackknife subsamples of the data are validated with a suite of 50 mock surveys. Our results and systematics checks in this work provide a critical input for future cosmological and galaxy evolution studies with the DES data and redMaGiC galaxy samples. We fit a Halo Occupation Distribution (HOD) model, and demonstrate that our data constrains the mean halo mass of the lens galaxies, despite strong degeneracies between individual HOD parameters.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Argonne National Lab. (ANL), Argonne, IL (United States); Brookhaven National Lab. (BNL), Upton, NY (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Organization:
DES Collaboration
Grant/Contract Number:
AC05-00OR22725; AC02-07CH11359; SC0012704; AST-1138766; AYA2012-39559; ESP2013-48274; FPA2013-47986; PF5-160138; AC02-76SF00515
OSTI ID:
1340465
Alternate ID(s):
OSTI ID: 1253591; OSTI ID: 1336108; OSTI ID: 1353199
Report Number(s):
FERMILAB-PUB-16-088-AE; arXiv:1603.05790; BNL-112552-2016-JA; KJ0402000; KJ0503000; ERKJ311; ERKJEPM; TRN: US1701223
Journal Information:
Monthly Notices of the Royal Astronomical Society, Vol. 465, Issue 4; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 36 works
Citation information provided by
Web of Science

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Cited By (12)

Galaxy–galaxy lensing estimators and their covariance properties journal July 2017
Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with im3shape journal December 2017
Luminous red galaxies in the Kilo-Degree Survey: selection with broad-band photometry and weak lensing measurements journal May 2019
Massive neutrinos leave fingerprints on cosmic voids journal July 2019
Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing journal August 2019
Controlling and leveraging small-scale information in tomographic galaxy–galaxy lensing journal October 2019
Weak lensing reveals a tight connection between dark matter halo mass and the distribution of stellar mass in massive galaxies journal December 2019
Constraints on the Mass–Richness Relation from the Abundance and Weak Lensing of SDSS Clusters journal February 2018
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
Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing text January 2017
Dark Energy Survey Year 1 Results: Constraints on Intrinsic Alignments and their Colour Dependence from Galaxy Clustering and Weak Lensing text January 2018

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Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
gravitational lensing: weak
galaxies: haloes