Halo occupation distribution modelling of green valley galaxies
Abstract
We present a clustering analysis of near-ultraviolet (NUV)–optical colour selected luminosity bin samples of green valley galaxies. These galaxy samples are constructed by matching the Sloan Digital Sky Survey Data Release 7 with the latest Galaxy Evolution Explorer source catalogue which provides NUV photometry. We present cross-correlation function measurements and determine the halo occupation distribution of green valley galaxies using a new multiple tracer analysis technique. We extend the halo occupation formalism, which describes the relation between galaxies and halo mass in terms of the probability P(N, Mh) that a halo of given mass Mh contains N galaxies, to model the cross-correlation function between a galaxy sample of interest and multiple tracer populations simultaneously. This method can be applied to commonly used luminosity threshold samples as well as to colour and luminosity bin selected galaxy samples, and improves the accuracy of clustering analyses for sparse galaxy populations. We confirm the previously observed trend that red galaxies reside in more massive haloes and are more likely to be satellite galaxies than average galaxies of similar luminosity. While the change in central galaxy host mass as a function of colour is only weakly constrained, the satellite fraction and characteristic halo masses of green satellite galaxies are found to be intermediate between those of blue and red satellite galaxies.
Additional Information
© 2012 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. Accepted 2012 October 15. Received 2012 October 16; in original form 2012 August 30 We thank David Weinberg and Zheng Zheng for helpful discussions about HOD modelling of binned samples. During the preparation of this work, EK and CMH were supported by the US National Science Foundation (AST-0807337) and the David & Lucile Packard Foundation. CH was additionally supported by the US Department of Energy (DE-SC0006624). Funding for the SDSS and SDSS-II has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, the US Department of Energy, the National Aeronautics and Space Administration, the Japanese Monbukagakusho, the Max Planck Society and the Higher Education Funding Council for England. The SDSS website is http://www.sdss.org/. The SDSS is managed by the Astrophysical Research Consortium for the Participating Institutions. The Participating Institutions are the American Museum of Natural History, Astrophysical Institute Potsdam, University of Basel, University of Cambridge, Case Western Reserve University, University of Chicago, Drexel University, Fermilab, the Institute for Advanced Study, the Japan Participation Group, Johns Hopkins University, the Joint Institute for Nuclear Astrophysics, the Kavli Institute for Particle Astrophysics and Cosmology, the Korean Scientist Group, the Chinese Academy of Sciences (LAMOST), Los Alamos National Laboratory, the Max-Planck-Institute for Astronomy (MPIA), the Max-Planck-Institute for Astrophysics (MPA), New Mexico State University, Ohio State University, University of Pittsburgh, University of Portsmouth, Princeton University, the United States Naval Observatory and the University of Washington.Attached Files
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Additional details
- Eprint ID
- 76851
- Resolver ID
- CaltechAUTHORS:20170424-111909219
- AST-0807337
- NSF
- David and Lucile Packard Foundation
- DE-SC0006624
- Department of Energy (DOE)
- Alfred P. Sloan Foundation
- Participating Institutions
- NASA
- Japanese Monbukagakusho
- Max Planck Society
- Higher Education Funding Council for England
- Created
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2017-04-26Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field
- Caltech groups
- Space Astrophysics Laboratory