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Title: The Aemulus Project. III. Emulation of the Galaxy Correlation Function

Abstract

Using the N-body simulations of the Aemulus Project, we construct an emulator for the nonlinear clustering of galaxies in real and redshift space. We construct our model of galaxy bias using the halo occupation framework, accounting for possible velocity bias. The model includes 15 parameters, including both cosmological and galaxy bias parameters. We demonstrate that our emulator achieves ~1% precision at the scales of interest, 0.1 h -1 Mpc < r < 10 h -1 Mpc, and recovers the true cosmology when tested against independent simulations. Our primary parameters of interest are related to the growth rate of structure, f, and its degenerate combination, fσ 8. Using this emulator, we show that the constraining power on these parameters monotonically increases as smaller scales are included in the analysis, all the way down to 0.1 h -1 Mpc. For a BOSS-like survey, the constraints on fσ 8 from r < 30 h -1 Mpc scales alone are nearly a factor of two tighter than those from the fiducial BOSS analysis of redshift-space clustering using perturbation theory at larger scales. The combination of real- and redshift-space clustering allows us to break the degeneracy between f and σ 8, yielding an 11% constraintmore » on f alone for a BOSS-like analysis. The current Aemulus simulations limit this model to surveys of massive galaxies. Future simulations will allow this framework to be extended to all galaxy target types, including emission-line galaxies.« less

Authors:
ORCiD logo [1];  [1];  [2];  [3]; ORCiD logo [4];  [5];  [3];  [5]; ORCiD logo [3]
  1. New York Univ. (NYU), NY (United States). Dept. of Physics, Center for Cosmology and Particle Physics
  2. Stanford Univ., CA (United States). Dept. of Physics, Kavli Inst. for Particle Astrophysics and Cosmology; SLAC National Accelerator Lab., Menlo Park, CA (United States). Dept. of Particle Physics and Astrophysics; Civis Analytics, Chicago, IL (United States)
  3. Stanford Univ., CA (United States). Dept. of Physics, Kavli Inst. for Particle Astrophysics and Cosmology; SLAC National Accelerator Lab., Menlo Park, CA (United States). Dept. of Particle Physics and Astrophysics
  4. Univ. of Pittsburgh, PA (United States). Dept. of Physics and Astronomy, The Pittsburg Particle Physics, Astrophysics and Cosmology Center (PITT PACC)
  5. Univ. of Arizona, Tucson, AZ (United States). Dept. of Physics
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1543134
Alternate Identifier(s):
OSTI ID: 1527107
Grant/Contract Number:  
AC02-76SF00515; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal (Online)
Additional Journal Information:
Journal Name: The Astrophysical Journal (Online); Journal Volume: 874; 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

Citation Formats

Zhai, Zhongxu, Tinker, Jeremy L., Becker, Matthew R., DeRose, Joseph, Mao, Yao-Yuan, McClintock, Thomas, McLaughlin, Sean, Rozo, Eduardo, and Wechsler, Risa H. The Aemulus Project. III. Emulation of the Galaxy Correlation Function. United States: N. p., 2019. Web. doi:10.3847/1538-4357/ab0d7b.
Zhai, Zhongxu, Tinker, Jeremy L., Becker, Matthew R., DeRose, Joseph, Mao, Yao-Yuan, McClintock, Thomas, McLaughlin, Sean, Rozo, Eduardo, & Wechsler, Risa H. The Aemulus Project. III. Emulation of the Galaxy Correlation Function. United States. https://doi.org/10.3847/1538-4357/ab0d7b
Zhai, Zhongxu, Tinker, Jeremy L., Becker, Matthew R., DeRose, Joseph, Mao, Yao-Yuan, McClintock, Thomas, McLaughlin, Sean, Rozo, Eduardo, and Wechsler, Risa H. Wed . "The Aemulus Project. III. Emulation of the Galaxy Correlation Function". United States. https://doi.org/10.3847/1538-4357/ab0d7b. https://www.osti.gov/servlets/purl/1543134.
@article{osti_1543134,
title = {The Aemulus Project. III. Emulation of the Galaxy Correlation Function},
author = {Zhai, Zhongxu and Tinker, Jeremy L. and Becker, Matthew R. and DeRose, Joseph and Mao, Yao-Yuan and McClintock, Thomas and McLaughlin, Sean and Rozo, Eduardo and Wechsler, Risa H.},
abstractNote = {Using the N-body simulations of the Aemulus Project, we construct an emulator for the nonlinear clustering of galaxies in real and redshift space. We construct our model of galaxy bias using the halo occupation framework, accounting for possible velocity bias. The model includes 15 parameters, including both cosmological and galaxy bias parameters. We demonstrate that our emulator achieves ~1% precision at the scales of interest, 0.1 h -1 Mpc < r < 10 h -1 Mpc, and recovers the true cosmology when tested against independent simulations. Our primary parameters of interest are related to the growth rate of structure, f, and its degenerate combination, fσ 8. Using this emulator, we show that the constraining power on these parameters monotonically increases as smaller scales are included in the analysis, all the way down to 0.1 h -1 Mpc. For a BOSS-like survey, the constraints on fσ 8 from r < 30 h -1 Mpc scales alone are nearly a factor of two tighter than those from the fiducial BOSS analysis of redshift-space clustering using perturbation theory at larger scales. The combination of real- and redshift-space clustering allows us to break the degeneracy between f and σ 8, yielding an 11% constraint on f alone for a BOSS-like analysis. The current Aemulus simulations limit this model to surveys of massive galaxies. Future simulations will allow this framework to be extended to all galaxy target types, including emission-line galaxies.},
doi = {10.3847/1538-4357/ab0d7b},
journal = {The Astrophysical Journal (Online)},
number = 1,
volume = 874,
place = {United States},
year = {Wed Mar 27 00:00:00 EDT 2019},
month = {Wed Mar 27 00:00:00 EDT 2019}
}

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