Modeling the Atomic-to-molecular Transition in Cosmological Simulations of Galaxy Formation

© 2018. The American Astronomical Society. All rights reserved.. Large-scale cosmological simulations of galaxy formation currently do not resolve the densities at which molecular hydrogen forms, implying that the atomic-to-molecular transition must be modeled either on the fly or in postprocessing....

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Main Authors: Diemer, Benedikt, Stevens, Adam RH, Forbes, John C, Marinacci, Federico, Hernquist, Lars, Lagos, Claudia del P, Sternberg, Amiel, Pillepich, Annalisa, Nelson, Dylan, Popping, Gergö, Villaescusa-Navarro, Francisco, Torrey, Paul, Vogelsberger, Mark
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:English
Published: American Astronomical Society 2021
Online Access:https://hdl.handle.net/1721.1/136377
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author Diemer, Benedikt
Stevens, Adam RH
Forbes, John C
Marinacci, Federico
Hernquist, Lars
Lagos, Claudia del P
Sternberg, Amiel
Pillepich, Annalisa
Nelson, Dylan
Popping, Gergö
Villaescusa-Navarro, Francisco
Torrey, Paul
Vogelsberger, Mark
author2 Massachusetts Institute of Technology. Department of Physics
author_facet Massachusetts Institute of Technology. Department of Physics
Diemer, Benedikt
Stevens, Adam RH
Forbes, John C
Marinacci, Federico
Hernquist, Lars
Lagos, Claudia del P
Sternberg, Amiel
Pillepich, Annalisa
Nelson, Dylan
Popping, Gergö
Villaescusa-Navarro, Francisco
Torrey, Paul
Vogelsberger, Mark
author_sort Diemer, Benedikt
collection MIT
description © 2018. The American Astronomical Society. All rights reserved.. Large-scale cosmological simulations of galaxy formation currently do not resolve the densities at which molecular hydrogen forms, implying that the atomic-to-molecular transition must be modeled either on the fly or in postprocessing. We present an improved postprocessing framework to estimate the abundance of atomic and molecular hydrogen and apply it to the IllustrisTNG simulations. We compare five different models for the atomic-to-molecular transition, including empirical, simulation-based, and theoretical prescriptions. Most of these models rely on the surface density of neutral hydrogen and the ultraviolet (UV) flux in the Lyman-Werner band as input parameters. Computing these quantities on the kiloparsec scale resolved by the simulations emerges as the main challenge. We show that the commonly used Jeans length approximation to the column density of a system can be biased and exhibits large cell-to-cell scatter. Instead, we propose to compute all surface quantities in face-on projections and perform the modeling in two dimensions. In general, the two methods agree on average, but their predictions diverge for individual galaxies and for models based on the observed midplane pressure of galaxies. We model the UV radiation from young stars by assuming a constant escape fraction and optically thin propagation throughout the galaxy. With these improvements, we find that the five models for the atomic-to-molecular transition roughly agree on average but that the details of the modeling matter for individual galaxies and the spatial distribution of molecular hydrogen. We emphasize that the estimated molecular fractions are approximate due to the significant systematic uncertainties.
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spelling mit-1721.1/1363772023-12-19T21:34:16Z Modeling the Atomic-to-molecular Transition in Cosmological Simulations of Galaxy Formation Diemer, Benedikt Stevens, Adam RH Forbes, John C Marinacci, Federico Hernquist, Lars Lagos, Claudia del P Sternberg, Amiel Pillepich, Annalisa Nelson, Dylan Popping, Gergö Villaescusa-Navarro, Francisco Torrey, Paul Vogelsberger, Mark Massachusetts Institute of Technology. Department of Physics MIT Kavli Institute for Astrophysics and Space Research © 2018. The American Astronomical Society. All rights reserved.. Large-scale cosmological simulations of galaxy formation currently do not resolve the densities at which molecular hydrogen forms, implying that the atomic-to-molecular transition must be modeled either on the fly or in postprocessing. We present an improved postprocessing framework to estimate the abundance of atomic and molecular hydrogen and apply it to the IllustrisTNG simulations. We compare five different models for the atomic-to-molecular transition, including empirical, simulation-based, and theoretical prescriptions. Most of these models rely on the surface density of neutral hydrogen and the ultraviolet (UV) flux in the Lyman-Werner band as input parameters. Computing these quantities on the kiloparsec scale resolved by the simulations emerges as the main challenge. We show that the commonly used Jeans length approximation to the column density of a system can be biased and exhibits large cell-to-cell scatter. Instead, we propose to compute all surface quantities in face-on projections and perform the modeling in two dimensions. In general, the two methods agree on average, but their predictions diverge for individual galaxies and for models based on the observed midplane pressure of galaxies. We model the UV radiation from young stars by assuming a constant escape fraction and optically thin propagation throughout the galaxy. With these improvements, we find that the five models for the atomic-to-molecular transition roughly agree on average but that the details of the modeling matter for individual galaxies and the spatial distribution of molecular hydrogen. We emphasize that the estimated molecular fractions are approximate due to the significant systematic uncertainties. 2021-10-27T20:35:06Z 2021-10-27T20:35:06Z 2018 2019-04-26T19:24:04Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/136377 en 10.3847/1538-4365/AAE387 The Astrophysical Journal Supplement Series Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Astronomical Society The Astrophysical Journal
spellingShingle Diemer, Benedikt
Stevens, Adam RH
Forbes, John C
Marinacci, Federico
Hernquist, Lars
Lagos, Claudia del P
Sternberg, Amiel
Pillepich, Annalisa
Nelson, Dylan
Popping, Gergö
Villaescusa-Navarro, Francisco
Torrey, Paul
Vogelsberger, Mark
Modeling the Atomic-to-molecular Transition in Cosmological Simulations of Galaxy Formation
title Modeling the Atomic-to-molecular Transition in Cosmological Simulations of Galaxy Formation
title_full Modeling the Atomic-to-molecular Transition in Cosmological Simulations of Galaxy Formation
title_fullStr Modeling the Atomic-to-molecular Transition in Cosmological Simulations of Galaxy Formation
title_full_unstemmed Modeling the Atomic-to-molecular Transition in Cosmological Simulations of Galaxy Formation
title_short Modeling the Atomic-to-molecular Transition in Cosmological Simulations of Galaxy Formation
title_sort modeling the atomic to molecular transition in cosmological simulations of galaxy formation
url https://hdl.handle.net/1721.1/136377
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