The concentration dependence of the galaxy–halo connection: Modeling assembly bias with abundance matching
Abstract
Empirical methods for connecting galaxies to their dark matter halos have become essential for interpreting measurements of the spatial statistics of galaxies. In this work, we present a novel approach for parameterizing the degree of concentration dependence in the abundance matching method. Furthermore, this new parameterization provides a smooth interpolation between two commonly used matching proxies: the peak halo mass and the peak halo maximal circular velocity. This parameterization controls the amount of dependence of galaxy luminosity on halo concentration at a fixed halo mass. Effectively this interpolation scheme enables abundance matching models to have adjustable assembly bias in the resulting galaxy catalogs. With the new $$400\,\mathrm{Mpc}\,{h}^{-1}$$ DarkSky Simulation, whose larger volume provides lower sample variance, we further show that low-redshift two-point clustering and satellite fraction measurements from SDSS can already provide a joint constraint on this concentration dependence and the scatter within the abundance matching framework.
- Authors:
-
[1];
[2];
[5]
- Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Univ. of California, Santa Cruz, CA (United States)
- Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Univ. of Pittsburgh, Pittsburgh, PA (United States)
- Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Civis Analytics, Chicago, IL (United States)
- Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Descartes Labs, Los Alamos, NM (United States)
- Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1340157
- Report Number(s):
- SLAC-PUB-16908
Journal ID: ISSN 1538-4357; arXiv:1510.05651
- Grant/Contract Number:
- AC02-76SF00515
- Resource Type:
- Accepted Manuscript
- Journal Name:
- The Astrophysical Journal (Online)
- Additional Journal Information:
- Journal Name: The Astrophysical Journal (Online); Journal Volume: 834; Journal Issue: 1; Journal ID: ISSN 1538-4357
- Publisher:
- Institute of Physics (IOP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; astrophysics; ASTRO; dark matter; galaxies: halos; methods: analytical; methods: numerical
Citation Formats
Lehmann, Benjamin V., Mao, Yao -Yuan, Becker, Matthew R., Skillman, Samuel W., and Wechsler, Risa H. The concentration dependence of the galaxy–halo connection: Modeling assembly bias with abundance matching. United States: N. p., 2016.
Web. doi:10.3847/1538-4357/834/1/37.
Lehmann, Benjamin V., Mao, Yao -Yuan, Becker, Matthew R., Skillman, Samuel W., & Wechsler, Risa H. The concentration dependence of the galaxy–halo connection: Modeling assembly bias with abundance matching. United States. https://doi.org/10.3847/1538-4357/834/1/37
Lehmann, Benjamin V., Mao, Yao -Yuan, Becker, Matthew R., Skillman, Samuel W., and Wechsler, Risa H. Wed .
"The concentration dependence of the galaxy–halo connection: Modeling assembly bias with abundance matching". United States. https://doi.org/10.3847/1538-4357/834/1/37. https://www.osti.gov/servlets/purl/1340157.
@article{osti_1340157,
title = {The concentration dependence of the galaxy–halo connection: Modeling assembly bias with abundance matching},
author = {Lehmann, Benjamin V. and Mao, Yao -Yuan and Becker, Matthew R. and Skillman, Samuel W. and Wechsler, Risa H.},
abstractNote = {Empirical methods for connecting galaxies to their dark matter halos have become essential for interpreting measurements of the spatial statistics of galaxies. In this work, we present a novel approach for parameterizing the degree of concentration dependence in the abundance matching method. Furthermore, this new parameterization provides a smooth interpolation between two commonly used matching proxies: the peak halo mass and the peak halo maximal circular velocity. This parameterization controls the amount of dependence of galaxy luminosity on halo concentration at a fixed halo mass. Effectively this interpolation scheme enables abundance matching models to have adjustable assembly bias in the resulting galaxy catalogs. With the new $400\,\mathrm{Mpc}\,{h}^{-1}$ DarkSky Simulation, whose larger volume provides lower sample variance, we further show that low-redshift two-point clustering and satellite fraction measurements from SDSS can already provide a joint constraint on this concentration dependence and the scatter within the abundance matching framework.},
doi = {10.3847/1538-4357/834/1/37},
journal = {The Astrophysical Journal (Online)},
number = 1,
volume = 834,
place = {United States},
year = {Wed Dec 28 00:00:00 EST 2016},
month = {Wed Dec 28 00:00:00 EST 2016}
}
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