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Title: The dark side of galaxy colour: evidence from new SDSS measurements of galaxy clustering and lensing

Abstract

The age matching model has recently been shown to predict correctly the luminosity L and g-r color of galaxies residing within dark matter halos. The central tenet of the model is intuitive: older halos tend to host galaxies with older stellar populations. In this paper, we demonstrate that age matching also correctly predicts the g-r color trends exhibited in a wide variety of statistics of the galaxy distribution for stellar mass M* threshold samples. In particular, we present new measurements of the galaxy two-point correlation function and the galaxy-galaxy lensing signal as a function of M* and g-r color from the Sloan Digital Sky Survey, and show that age matching exhibits remarkable agreement with these and other statistics of low-redshift galaxies. In so doing, we also demonstrate good agreement between the galaxy-galaxy lensing observed by SDSS and the signal predicted by abundance matching, a new success of this model. We describe how age matching is a specific example of a larger class of Conditional Abundance Matching models (CAM), a theoretical framework we introduce here for the first time. CAM provides a general formalism to study correlations at fixed mass between any galaxy property and any halo property. The striking successmore » of our simple implementation of CAM provides compelling evidence that this technique has the potential to describe the same set of data as alternative models, but with a dramatic reduction in the required number of parameters. CAM achieves this reduction by exploiting the capability of contemporary N-body simulations to determine dark matter halo properties other than mass alone, which distinguishes our model from conventional approaches to the galaxy-halo connection.« less

Authors:
 [1];  [2];  [3];  [2];  [4];  [5]
  1. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States). Fermilab Center for Particle Astrophysics
  2. Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics (KICP)
  3. Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics (KICP); KICP, Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  4. Vanderbilt Univ., Nashville, TN (United States). Dept. of Physics and Astronomy
  5. Pittsburgh Particle Physics, Astrophysics, and Cosmology Center (PITT PACC), PA (United States)
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
OSTI Identifier:
1155848
Report Number(s):
FERMILAB-PUB-13-470-A
Journal ID: ISSN 0035-8711; arXiv eprint number arXiv:1310.6747
DOE Contract Number:  
AC02-07CH11359
Resource Type:
Journal Article
Resource Relation:
Journal Name: Monthly Notices of the Royal Astronomical Society; Journal Volume: 444; Journal Issue: 1
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Hearin, Andrew P., Watson, Douglas F., Becker, Matthew R., Reyes, Reinabelle, Berlind, Andreas A., and Zentner, Andrew R. The dark side of galaxy colour: evidence from new SDSS measurements of galaxy clustering and lensing. United States: N. p., 2014. Web. doi:10.1093/mnras/stu1443.
Hearin, Andrew P., Watson, Douglas F., Becker, Matthew R., Reyes, Reinabelle, Berlind, Andreas A., & Zentner, Andrew R. The dark side of galaxy colour: evidence from new SDSS measurements of galaxy clustering and lensing. United States. doi:10.1093/mnras/stu1443.
Hearin, Andrew P., Watson, Douglas F., Becker, Matthew R., Reyes, Reinabelle, Berlind, Andreas A., and Zentner, Andrew R. Tue . "The dark side of galaxy colour: evidence from new SDSS measurements of galaxy clustering and lensing". United States. doi:10.1093/mnras/stu1443. https://www.osti.gov/servlets/purl/1155848.
@article{osti_1155848,
title = {The dark side of galaxy colour: evidence from new SDSS measurements of galaxy clustering and lensing},
author = {Hearin, Andrew P. and Watson, Douglas F. and Becker, Matthew R. and Reyes, Reinabelle and Berlind, Andreas A. and Zentner, Andrew R.},
abstractNote = {The age matching model has recently been shown to predict correctly the luminosity L and g-r color of galaxies residing within dark matter halos. The central tenet of the model is intuitive: older halos tend to host galaxies with older stellar populations. In this paper, we demonstrate that age matching also correctly predicts the g-r color trends exhibited in a wide variety of statistics of the galaxy distribution for stellar mass M* threshold samples. In particular, we present new measurements of the galaxy two-point correlation function and the galaxy-galaxy lensing signal as a function of M* and g-r color from the Sloan Digital Sky Survey, and show that age matching exhibits remarkable agreement with these and other statistics of low-redshift galaxies. In so doing, we also demonstrate good agreement between the galaxy-galaxy lensing observed by SDSS and the signal predicted by abundance matching, a new success of this model. We describe how age matching is a specific example of a larger class of Conditional Abundance Matching models (CAM), a theoretical framework we introduce here for the first time. CAM provides a general formalism to study correlations at fixed mass between any galaxy property and any halo property. The striking success of our simple implementation of CAM provides compelling evidence that this technique has the potential to describe the same set of data as alternative models, but with a dramatic reduction in the required number of parameters. CAM achieves this reduction by exploiting the capability of contemporary N-body simulations to determine dark matter halo properties other than mass alone, which distinguishes our model from conventional approaches to the galaxy-halo connection.},
doi = {10.1093/mnras/stu1443},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 1,
volume = 444,
place = {United States},
year = {Tue Aug 12 00:00:00 EDT 2014},
month = {Tue Aug 12 00:00:00 EDT 2014}
}