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THE REDMAPPER GALAXY CLUSTER CATALOG FROM DES SCIENCE VERIFICATION DATA

2016· article· en· 345 citations· W2227890887 on OpenAlex· 10.3847/0067-0049/224/1/1

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

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Opus teacher head0.016
GPT teacher head0.241
Teacher spread
0.226 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

ABSTRACT We describe updates to the redMaPPer algorithm, a photometric red-sequence cluster finder specifically designed for large photometric surveys. The updated algorithm is applied to of Science Verification (SV) data from the Dark Energy Survey (DES), and to the Sloan Digital Sky Survey (SDSS) DR8 photometric data set. The DES SV catalog is locally volume limited and contains 786 clusters with richness (roughly equivalent to ) and . The DR8 catalog consists of 26,311 clusters with , with a sharply increasing richness threshold as a function of redshift for . The photometric redshift performance of both catalogs is shown to be excellent, with photometric redshift uncertainties controlled at the level for , rising to ∼0.02 at in DES SV. We make use of Chandra and XMM X-ray and South Pole Telescope Sunyaev–Zeldovich data to show that the centering performance and mass–richness scatter are consistent with expectations based on prior runs of redMaPPer on SDSS data. We also show how the redMaPPer photo- z and richness estimates are relatively insensitive to imperfect star/galaxy separation and small-scale star masks.

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The record

Venue
The Astrophysical Journal Supplement Series
Topic
Galaxies: Formation, Evolution, Phenomena
Field
Physics and Astronomy
Canadian institutions
Funders
Argonne National LaboratoryIntegrated Electronics Engineering Center, Binghamton UniversityAustralian Astronomical Optics-MacquarieScience and Technology Facilities CouncilOffice of ScienceUniversity of Illinois at Urbana-ChampaignInstitut de Física d'Altes EnergiesFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e TecnológicoDeutsche ForschungsgemeinschaftUniversity of SussexYork UniversityNational Aeronautics and Space AdministrationUniversity College LondonCarnegie Mellon UniversityCollege of Engineering, Michigan State UniversityPrinceton UniversityUniversity of WashingtonAlfred P. Sloan FoundationJohns Hopkins UniversityVanderbilt UniversityUniversity of ChicagoSLAC National Accelerator LaboratoryHarvard UniversityOhio State UniversityBrookhaven National LaboratoryMinistério da Ciência, Tecnologia e InovaçãoLawrence Berkeley National LaboratoryFinanciadora de Estudos e ProjetosUniversity of PennsylvaniaNew Mexico State UniversityUniversity of PortsmouthYale UniversityFermilabNational Science FoundationU.S. Department of EnergyCalifornia Institute of Technology
Keywords
Computer scienceCluster (spacecraft)AstrophysicsPhysicsProgramming language
Has abstract in OpenAlex
yes