Published October 2017 | Version Published + Submitted
Journal Article Open

A Galaxy-Halo Model for Multiple Cosmological Tracers

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Jet Propulsion Lab

Abstract

The information extracted from large galaxy surveys with the likes of DES, DESI, Euclid, LSST, SKA, and WFIRST will be greatly enhanced if the resultant galaxy catalogues can be cross-correlated with one another. Predicting the nature of the information gain, and developing the tools to realize it, depends on establishing a consistent model of how the galaxies detected by each survey trace the same underlying matter distribution. Existing analytic methods, such as halo occupation distribution modelling, are not well suited for this task, and can suffer from ambiguities and tuning issues when applied to multiple tracers. In this paper, we take the first step towards constructing an alternative that provides a common model for the connection between galaxies and dark matter haloes across a wide range of wavelengths (and thus tracer populations). This is based on a chain of parametrized statistical distributions that model the connection between (i) halo mass and bulk physical properties of galaxies, such as star formation rate; and (ii) those same physical properties and a variety of emission processes. The result is a flexible parametric model that allows analytic halo model calculations of one-point functions to be carried out for multiple tracers, as well as providing semi realistic galaxy properties for fast mock catalogue generation.

Additional Information

© 2017 The Author. Published by Oxford University Press on behalf of the Royal Astronomical Society. Received: 01 November 2016; Revision Received: 27 April 2017; Accepted: 28 April 2017; Published: 21 July 2017. I am grateful to O. Doré, B. Hensley, E. Huff, A. Merson, P. Serra, M. Viero, H.-Y. Wu and an anonymous referee for valuable discussions, comments and encouragement, and to A. Brown for valuable work on a summer project involving this model. I gratefully acknowledge use of computing resources at the University of Oslo. PB's research was supported by an appointment to the NASA Postdoctoral Program at the Jet Propulsion Laboratory, California Institute of Technology, administered by Universities Space Research Association under contract with NASA.

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Published - Bull_2017p12.pdf

Submitted - 1610.08948.pdf

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Additional details

Identifiers

Eprint ID
77832
Resolver ID
CaltechAUTHORS:20170530-132311988

Related works

Funding

NASA Postdoctoral Program
NASA/JPL/Caltech

Dates

Created
2017-05-30
Created from EPrint's datestamp field
Updated
2021-11-15
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