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

Chang, C.

doi:10.1103/PhysRevLett.115.051301

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

Abstract

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.

Authors:

Chang, C. ^[1]

ETH Zurich (Switzerland). et al.

Publication Date:: Wed Jul 29 00:00:00 EDT 2015

Research Org.:: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP)

Contributing Org.:: DES Collaboration

OSTI Identifier:: 1223216

Alternate Identifier(s):: OSTI ID: 1204703; OSTI ID: 1226043

Report Number(s):: FERMILAB-PUB-15-343-AE; BNL-108403-2015-JA
Journal ID: ISSN 0031-9007; arXiv eprint number arXiv:1505.01871

Grant/Contract Number:: AC02-07CH11359; SC00112704

Resource Type:: Accepted Manuscript

Journal Name:: Physical Review Letters

Additional Journal Information:: Journal Volume: 115; Journal Issue: 5; Journal ID: ISSN 0031-9007

Publisher:: American Physical Society (APS)

Country of Publication:: United States

Language:: English

Subject:: 79 ASTRONOMY AND ASTROPHYSICS

Citation Formats


                    Chang, C. Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data.  United States: N. p., 2015. 
Web.  doi:10.1103/PhysRevLett.115.051301.

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                    Chang, C. Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data.  United States.  https://doi.org/10.1103/PhysRevLett.115.051301

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                    Chang, C. Wed .  
"Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data".  United States.  https://doi.org/10.1103/PhysRevLett.115.051301.  https://www.osti.gov/servlets/purl/1223216.

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@article{osti_1223216,

  title        = {Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data},

  author       = {Chang, C.},

  abstractNote = {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.},

  doi          = {10.1103/PhysRevLett.115.051301},

  journal      = {Physical Review Letters},

  number       = 5,

  volume       = 115,

  place        = {United States},

  year         = {Wed Jul 29 00:00:00 EDT 2015},

  month        = {Wed Jul 29 00:00:00 EDT 2015}

}

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