Published June 10, 2023 | Version Published
Journal Article Open

LIMFAST. I. A Seminumerical Tool for Line Intensity Mapping

  • 1. ROR icon Jet Propulsion Lab
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon University of California, Santa Cruz

Abstract

We present LIMFAST, a seminumerical code for simulating high-redshift galaxy formation and cosmic reionization as revealed by multitracer line intensity mapping (LIM) signals. LIMFAST builds upon and extends the 21cmFAST code widely used for 21 cm cosmology by implementing state-of-the-art models of galaxy formation and evolution. The metagalactic radiation background, including the production of various star formation lines, together with the 21 cm line signal tracing the neutral intergalactic medium (IGM), is self-consistently described by photoionization modeling and stellar population synthesis coupled to the galaxy formation model. We introduce basic structure and functionalities of the code, and demonstrate its validity and capabilities by showing broad agreements between the predicted and observed evolution of cosmic star formation, IGM neutral fraction, and metal enrichment. We also present the LIM signals of 21 cm, Lyα, Hα, Hβ, [O ii], and [O iii] lines simulated by LIMFAST, and compare them with results from the literature. We elaborate on how several major aspects of our modeling framework, including models of star formation, chemical enrichment, and photoionization, may impact different LIM observables and thus become testable once applied to observational data. LIMFAST aims at being an efficient and resourceful tool for intensity mapping studies in general, exploring a wide range of scenarios of galaxy evolution and reionization and frequencies over which useful cosmological signals can be measured.

Additional Information

© 2023. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. We thank the anonymous reviewer for providing helpful comments that improved this paper. We are grateful to Steven Furlanetto, Adam Trapp, and Fred Davies for useful discussions and comments throughout this project, as well as Rahul Kannan and Yuxiang Qin for their valuable comments on the early draft of this paper. We acknowledge support from the JPL R&TD strategic initiative grant on line intensity mapping. This research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Software: ARES (Mirocha et al. 2017), BPASS (Eldridge et al. 2017), cloudy (Ferland et al. 2017), 21cmFAST (Mesinger et al. 2011).

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Additional details

Identifiers

Eprint ID
122372
Resolver ID
CaltechAUTHORS:20230725-500471000.8

Funding

JPL Research and Technology Development Fund
NASA/JPL/Caltech

Dates

Created
2023-08-16
Created from EPrint's datestamp field
Updated
2023-08-16
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