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Title: Connecting massive galaxies to dark matter haloes in BOSS – I. Is galaxy colour a stochastic process in high-mass haloes?

Abstract

In this work, we use subhalo abundance matching (SHAM) to model the stellar mass function (SMF) and clustering of the Baryon Oscillation Spectroscopic Survey (BOSS) 'CMASS' sample at z ~ 0.5. We introduce a novel method which accounts for the stellar mass incompleteness of CMASS as a function of redshift, and produce CMASS mock catalogues which include selection effects, reproduce the overall SMF, the projected two-point correlation function w p, the CMASS dn/dz, and are made publicly available. We study the effects of assembly bias above collapse mass in the context of 'age matching' and show that these effects are markedly different compared to the ones explored by Hearin et al. at lower stellar masses. We construct two models, one in which galaxy colour is stochastic ('AbM' model) as well as a model which contains assembly bias effects ('AgM' model). By confronting the redshift dependent clustering of CMASS with the predictions from our model, we argue that that galaxy colours are not a stochastic process in high-mass haloes. Lastly, our results suggest that the colours of galaxies in high-mass haloes are determined by other halo properties besides halo peak velocity and that assembly bias effects play an important role inmore » determining the clustering properties of this sample.« less

Authors:
 [1];  [1];  [2];  [1];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10]
  1. Univ. of Tokyo (Japan)
  2. Yale Univ., New Haven, CT (United States)
  3. Univ. of Pittsburgh, PA (United States)
  4. Space Telescope Science Institute, Baltimore, MD (United States)
  5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  6. Vanderbilt Univ., Nashville, TN (United States)
  7. Univ. of Geneva (Switzerland)
  8. New York Univ. (NYU), NY (United States)
  9. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
  10. Pennsylvania State Univ., University Park, PA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1530216
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 460; Journal Issue: 2; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; galaxies: haloes; large-scale structure of Universe

Citation Formats

Saito, Shun, Leauthaud, Alexie, Hearin, Andrew P., Bundy, Kevin, Zentner, Andrew R., Behroozi, Peter S., Reid, Beth A., Sinha, Manodeep, Coupon, Jean, Tinker, Jeremy L., White, Martin, and Schneider, Donald P. Connecting massive galaxies to dark matter haloes in BOSS – I. Is galaxy colour a stochastic process in high-mass haloes?. United States: N. p., 2016. Web. doi:10.1093/mnras/stw1080.
Saito, Shun, Leauthaud, Alexie, Hearin, Andrew P., Bundy, Kevin, Zentner, Andrew R., Behroozi, Peter S., Reid, Beth A., Sinha, Manodeep, Coupon, Jean, Tinker, Jeremy L., White, Martin, & Schneider, Donald P. Connecting massive galaxies to dark matter haloes in BOSS – I. Is galaxy colour a stochastic process in high-mass haloes?. United States. doi:10.1093/mnras/stw1080.
Saito, Shun, Leauthaud, Alexie, Hearin, Andrew P., Bundy, Kevin, Zentner, Andrew R., Behroozi, Peter S., Reid, Beth A., Sinha, Manodeep, Coupon, Jean, Tinker, Jeremy L., White, Martin, and Schneider, Donald P. Fri . "Connecting massive galaxies to dark matter haloes in BOSS – I. Is galaxy colour a stochastic process in high-mass haloes?". United States. doi:10.1093/mnras/stw1080. https://www.osti.gov/servlets/purl/1530216.
@article{osti_1530216,
title = {Connecting massive galaxies to dark matter haloes in BOSS – I. Is galaxy colour a stochastic process in high-mass haloes?},
author = {Saito, Shun and Leauthaud, Alexie and Hearin, Andrew P. and Bundy, Kevin and Zentner, Andrew R. and Behroozi, Peter S. and Reid, Beth A. and Sinha, Manodeep and Coupon, Jean and Tinker, Jeremy L. and White, Martin and Schneider, Donald P.},
abstractNote = {In this work, we use subhalo abundance matching (SHAM) to model the stellar mass function (SMF) and clustering of the Baryon Oscillation Spectroscopic Survey (BOSS) 'CMASS' sample at z ~ 0.5. We introduce a novel method which accounts for the stellar mass incompleteness of CMASS as a function of redshift, and produce CMASS mock catalogues which include selection effects, reproduce the overall SMF, the projected two-point correlation function wp, the CMASS dn/dz, and are made publicly available. We study the effects of assembly bias above collapse mass in the context of 'age matching' and show that these effects are markedly different compared to the ones explored by Hearin et al. at lower stellar masses. We construct two models, one in which galaxy colour is stochastic ('AbM' model) as well as a model which contains assembly bias effects ('AgM' model). By confronting the redshift dependent clustering of CMASS with the predictions from our model, we argue that that galaxy colours are not a stochastic process in high-mass haloes. Lastly, our results suggest that the colours of galaxies in high-mass haloes are determined by other halo properties besides halo peak velocity and that assembly bias effects play an important role in determining the clustering properties of this sample.},
doi = {10.1093/mnras/stw1080},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 2,
volume = 460,
place = {United States},
year = {2016},
month = {5}
}

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