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Title: Improved Mock Galaxy Catalogs for the Deep2 Galaxy Redshift Survey From Subhalo Abundance and Environment Matching

Abstract

We develop empirical methods for modeling the galaxy population and populating cosmological N-body simulations with mock galaxies according to the observed properties of galaxies in survey data. We use these techniques to produce a new set of mock catalogs for the DEEP2 Galaxy Redshift Survey based on the output of the high-resolution Bolshoi simulation, as well as two other simulations with different cosmological parameters, all of which we release for public use. The mock-catalog creation technique uses subhalo abundance matching to assign galaxy luminosities to simulated dark-matter halos. It then adds color information to the resulting mock galaxies in a manner that depends on the local galaxy density, in order to reproduce the measured color-environment relation in the data. In the course of constructing the catalogs, we test various models for including scatter in the relation between halo mass and galaxy luminosity, within the abundance-matching framework. We find that there is no constant-scatter model that can simultaneously reproduce both the luminosity function and the autocorrelation function of DEEP2. Finally, this result has implications for galaxy-formation theory, and it restricts the range of contexts in which the mock catalogs can be usefully applied. Nevertheless, careful comparisons show that our new mockmore » catalogs accurately reproduce a wide range of the other properties of the DEEP2 catalog, suggesting that they can be used to gain a detailed understanding of various selection effects in DEEP2.« less

Authors:
 [1];  [2];  [2];  [3];  [4];  [5]
  1. SLAC National Accelerator Lab., Menlo Park, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. SLAC National Accelerator Lab., Menlo Park, CA (United States); Stanford Univ., CA (United States)
  3. Univ. of California, Irvine, CA (United States)
  4. New York Univ. (NYU), NY (United States)
  5. Univ. of California, San Diego, CA (United States)
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1443142
Report Number(s):
SLAC-PUB-14493
Journal ID: ISSN 0067-0049
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Accepted Manuscript
Journal Name:
Astrophysical Journal, Supplement Series
Additional Journal Information:
Journal Volume: 208; Journal Issue: 1; Journal ID: ISSN 0067-0049
Publisher:
American Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Gerke, Brian F., Wechsler, Risa H., Behroozi, Peter S., Cooper, Michael C., Yan, Renbin, and Coil, Alison L. Improved Mock Galaxy Catalogs for the Deep2 Galaxy Redshift Survey From Subhalo Abundance and Environment Matching. United States: N. p., 2013. Web. doi:10.1088/0067-0049/208/1/1.
Gerke, Brian F., Wechsler, Risa H., Behroozi, Peter S., Cooper, Michael C., Yan, Renbin, & Coil, Alison L. Improved Mock Galaxy Catalogs for the Deep2 Galaxy Redshift Survey From Subhalo Abundance and Environment Matching. United States. doi:10.1088/0067-0049/208/1/1.
Gerke, Brian F., Wechsler, Risa H., Behroozi, Peter S., Cooper, Michael C., Yan, Renbin, and Coil, Alison L. Thu . "Improved Mock Galaxy Catalogs for the Deep2 Galaxy Redshift Survey From Subhalo Abundance and Environment Matching". United States. doi:10.1088/0067-0049/208/1/1. https://www.osti.gov/servlets/purl/1443142.
@article{osti_1443142,
title = {Improved Mock Galaxy Catalogs for the Deep2 Galaxy Redshift Survey From Subhalo Abundance and Environment Matching},
author = {Gerke, Brian F. and Wechsler, Risa H. and Behroozi, Peter S. and Cooper, Michael C. and Yan, Renbin and Coil, Alison L.},
abstractNote = {We develop empirical methods for modeling the galaxy population and populating cosmological N-body simulations with mock galaxies according to the observed properties of galaxies in survey data. We use these techniques to produce a new set of mock catalogs for the DEEP2 Galaxy Redshift Survey based on the output of the high-resolution Bolshoi simulation, as well as two other simulations with different cosmological parameters, all of which we release for public use. The mock-catalog creation technique uses subhalo abundance matching to assign galaxy luminosities to simulated dark-matter halos. It then adds color information to the resulting mock galaxies in a manner that depends on the local galaxy density, in order to reproduce the measured color-environment relation in the data. In the course of constructing the catalogs, we test various models for including scatter in the relation between halo mass and galaxy luminosity, within the abundance-matching framework. We find that there is no constant-scatter model that can simultaneously reproduce both the luminosity function and the autocorrelation function of DEEP2. Finally, this result has implications for galaxy-formation theory, and it restricts the range of contexts in which the mock catalogs can be usefully applied. Nevertheless, careful comparisons show that our new mock catalogs accurately reproduce a wide range of the other properties of the DEEP2 catalog, suggesting that they can be used to gain a detailed understanding of various selection effects in DEEP2.},
doi = {10.1088/0067-0049/208/1/1},
journal = {Astrophysical Journal, Supplement Series},
number = 1,
volume = 208,
place = {United States},
year = {2013},
month = {8}
}

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