A Self-consistent Framework for Multiline Modeling in Line Intensity Mapping Experiments
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1.
California Institute of Technology
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2.
Princeton University
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3.
Jet Propulsion Lab
Abstract
Line intensity mapping (LIM) is a promising approach to study star formation and the interstellar medium (ISM) in galaxies by measuring the aggregate line emission from the entire galaxy population. In this work, we develop a simple yet physically motivated framework for modeling the line emission as would be observed in LIM experiments. It is done by building on analytic models of the cosmic infrared background that connect total infrared luminosity of galaxies to their host dark matter halos. We present models of the H I 21 cm, CO (1−0), [C II] 158 μm, and [N II] 122 and 205 μm lines consistent with current observational constraints. With four case studies of various combinations of these lines that probe different ISM phases, we demonstrate the potential for reliably extracting physical properties of the ISM, and the evolution of these properties with cosmic time, from auto- and cross-correlation analysis of these lines as measured by future LIM experiments.
Additional Information
© 2019 The American Astronomical Society. Received 2019 August 16; revised 2019 October 31; accepted 2019 November 8; published 2019 December 17. We would like to thank the anonymous referee for comments that helped improve this paper. We would like to thank Hao-Yi (Heidi) Wu for helpful discussion on the CIB model, as well as Garrett (Karto) Keating and Ryan Keenan for compiling and sharing the constraints on cosmic molecular gas content. We are also grateful to Jamie Bock, Matt Bradford, Patrick Breysse, Paul Goldsmith, Adam Lidz, Lunjun Liu, Lluis Mas-Ribas, and Anthony Pullen for constructive discussion and comments on this work. Part of the research described in this paper was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Software: corner (Foreman-Mackey 2016), emcee (Foreman-Mackey et al. 2013), hmf (Murray et al. 2013), matplotlib (Hunter 2007), numpy (van der Walt et al. 2011) and scipy (Jones et al. 2001).Attached Files
Published - Sun_2019_ApJ_887_142.pdf
Submitted - 1907.02999.pdf
Files
1907.02999.pdf
Additional details
Additional titles
- Alternative title
- A Self-Consistent Framework for Multi-Line Modeling in Line Intensity Mapping Experiments
Identifiers
- Eprint ID
- 98844
- Resolver ID
- CaltechAUTHORS:20190925-093529654
Related works
- Describes
- https://arxiv.org/abs/1907.02999 (URL)
Funding
- NASA/JPL/Caltech
Dates
- Created
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2019-09-25Created from EPrint's datestamp field
- Updated
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2023-03-15Created from EPrint's last_modified field