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MaxBCG: A red-sequence galaxy cluster finder

Author
KOESTER, Benjamin P1 ; MCKAY, Timothy A1 ; ANNIS, James2 ; WECHSLER, Risa H3 4 ; EVRARD, August E1 ; ROZO, Eduardo3 ; BLEEM, Lindsey5 ; SHELDON, Erin S6 ; JOHNSTON, David7
[1] Department of Physics, University of Michigan, Ann Arbor, MI 48104, United States
[2] NASA/Fermilab Astrophysics Center, Fermi National Accelerator Laboratory, Batavia, IL 60510, United States
[3] Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, United States
[4] Department of Astronomy and Astrophysics and Enrico Fermi Institute, University of Chicago, Chicago, IL 60637, United States
[5] Department of Physics, University of Chicago, Chicago, IL 60637, United States
[6] Center for Cosmology and Particle Physics and Department of Physics, New York University, New York, NY 10003, United States
[7] Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, United States
Source

The Astrophysical journal. 2007, Vol 660, Num 1, pp 221-238, 18 p ; 1 ; ref : 3/4 p

CODEN
ASJOAB
ISSN
0004-637X
Scientific domain
Astronomy earth cosmic environment
Publisher
University of Chicago Press, Chicago, IL
Publication country
United States
Document type
Article
Language
English
Author keyword
cosmology: observations galaxies: clusters: general methods: data analysis
Keyword (fr)
Amas galaxies Analyse donnée Cosmologie
Keyword (en)
Galaxy clusters Data analysis Cosmology
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E03 Astronomy

Discipline
Astronomy
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18803426

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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