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Title: Forward Modeling of Large-scale Structure: An Open-source Approach with Halotools

Journal Article · · The Astronomical Journal (Online)
ORCiD logo [1];  [2]; ORCiD logo [3];  [4]; ORCiD logo [5]; ORCiD logo [6];  [7]; ORCiD logo [8]; ORCiD logo [9]; ORCiD logo [8];  [10]; ORCiD logo [11];  [12];  [13]
  1. Yale Univ., New Haven, CT (United States); Argonne National Lab. (ANL), Argonne, IL (United States)
  2. Yale Univ., New Haven, CT (United States)
  3. Yale Univ., New Haven, CT (United States); Space Telescope Science Institute, Baltimore, MD (United States)
  4. Univ. of California, Berkeley, CA (United States)
  5. Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States)
  6. Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States)
  7. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Univ. of Chicago, Chicago, IL (United States)
  8. The Univ. of Tokyo, Chiba (Japan)
  9. Stanford Univ., Stanford, CA (United States); Univ. of Pittsburgh, Pittsburgh, PA (United States)
  10. Univ. of Washington, Seattle, WA (United States)
  11. Vanderbilt Univ., Nashville, TN (United States); Swinburne Univ. of Technology, Hawthorn, VIC (Australia)
  12. Univ. of Hertfordshire, Hatfield (United Kingdom); Univ. of Cambridge, Cambridge (United Kingdom)
  13. Univ. of Pittsburgh, Pittsburgh, PA (United States)

Here, we present the first stable release of Halotools (v0.2), a community-driven Python package designed to build and test models of the galaxy-halo connection. Halotools provides a modular platform for creating mock universes of galaxies starting from a catalog of dark matter halos obtained from a cosmological simulation. The package supports many of the common forms used to describe galaxy-halo models: the halo occupation distribution (HOD), the conditional luminosity function (CLF), abundance matching, and alternatives to these models that include effects such as environmental quenching or variable galaxy assembly bias. Satellite galaxies can be modeled to live in subhalos, or to follow custom number density profiles within their halos, including spatial and/or velocity bias with respect to the dark matter profile. Here, the package has an optimized toolkit to make mock observations on a synthetic galaxy population, including galaxy clustering, galaxy-galaxy lensing, galaxy group identification, RSD multipoles, void statistics, pairwise velocities and others, allowing direct comparison to observations. Halotools is object-oriented, enabling complex models to be built from a set of simple, interchangeable components, including those of your own creation.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Grant/Contract Number:
AC02-07CH11359
OSTI ID:
1406243
Report Number(s):
FERMILAB-PUB--16-723-A; arXiv:1606.04106; 1469199
Journal Information:
The Astronomical Journal (Online), Journal Name: The Astronomical Journal (Online) Journal Issue: 5 Vol. 154; ISSN 1538-3881
Publisher:
IOP Publishing - AAASCopyright Statement
Country of Publication:
United States
Language:
English

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How are galaxies assigned to halos? Searching for assembly bias in the SDSS galaxy clustering text January 2016
Tangos: the agile numerical galaxy organization system text January 2018
Maturing Satellite Kinematics into a Competitive Probe of the Galaxy-Halo Connection text January 2018
CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST text January 2019
Calibrating the cosmic distance ladder using gravitational-wave observations text January 2019
Dark Matter and HI in Ultra-Diffuse Galaxy UGC 2162 text January 2019
BASILISK: Bayesian Hierarchical Inference of the Galaxy-Halo Connection using Satellite Kinematics--I. Method and Validation text January 2019
Corrfunc --- A Suite of Blazing Fast Correlation Functions on the CPU text January 2019
Compact groups from semi-analytical models of galaxy formation -- I: a comparative study of frequency and nature text January 2019