Towards an accurate treatment of the reduced speed of light approximation in parameterized radiative transfer simulations of reionization

Abstract The reduced speed of light approximation (RSLA) has been employed to speed up radiative transfer simulations of reionization by a factor of ≳ 5-10. However, it has been shown to cause significant errors in the HI-ionizing background near reionization's end in simulations of representative cosmological volumes. We show that using the RSLA is, to a good approximation, equivalent to re-scaling the global ionizing emissivity in a redshift-dependent way. We derive this re-scaling and show that it can be used to “correct” the emissivity in RSLA simulations. This method requires the emissivity to be re-scaled after the simulation has been run, which limits its applicability to situations where the emissivity is set “by hand” or determined by free parameters. We test our method by running full speed of light simulations using these re-scaled emissivities and comparing them with their RSLA counterparts. We find that for reduced speeds of light c̃ ≥ 0.2, the 21 cm power spectrum at 0.1 ≤ k /[ h Mpc -1 ] ≤ 0.2 and key Ly α forest observables agree to within 20%, and often within 10%, throughout reionization. Position-dependent time-delay effects cause inaccuracies in reionization's morphology on large scales at the factor of 2 level for c̃ ≤ 0.1. Our method allows for up to a factor of 5 speedup in studies that express the emissivity in terms of free parameters, including efforts to constrain the emissivity using observations. This is a crucial step towards constraining the ionizing properties of high-redshift galaxies using efficient radiative transfer simulations.

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Publication Details

Journal
Journal of Cosmology and Astroparticle Physics
Published
2024-12-01
DOI
https://doi.org/10.1088/1475-7516/2024/12/056
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
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article

Towards an accurate treatment of the reduced speed of light approximation in parameterized radiative transfer simulations of reionization

Christopher Cain
Journal of Cosmology and Astroparticle Physics
Galaxies: Formation, Evolution, Phenomena
article

Towards an accurate treatment of the reduced speed of light approximation in parameterized radiative transfer simulations of reionization

Christopher Cain
article en

Abstract

Abstract The reduced speed of light approximation (RSLA) has been employed to speed up radiative transfer simulations of reionization by a factor of ≳ 5-10. However, it has been shown to cause significant errors in the HI-ionizing background near reionization's end in simulations of representative cosmological volumes. We show that using the RSLA is, to a good approximation, equivalent to re-scaling the global ionizing emissivity in a redshift-dependent way. We derive this re-scaling and show that it can be used to “correct” the emissivity in RSLA simulations. This method requires the emissivity to be re-scaled after the simulation has been run, which limits its applicability to situations where the emissivity is set “by hand” or determined by free parameters. We test our method by running full speed of light simulations using these re-scaled emissivities and comparing them with their RSLA counterparts. We find that for reduced speeds of light c̃ ≥ 0.2, the 21 cm power spectrum at 0.1 ≤ k /[ h Mpc -1 ] ≤ 0.2 and key Ly α forest observables agree to within 20%, and often within 10%, throughout reionization. Position-dependent time-delay effects cause inaccuracies in reionization's morphology on large scales at the factor of 2 level for c̃ ≤ 0.1. Our method allows for up to a factor of 5 speedup in studies that express the emissivity in terms of free parameters, including efforts to constrain the emissivity using observations. This is a crucial step towards constraining the ionizing properties of high-redshift galaxies using efficient radiative transfer simulations.

Journal of Cosmology and Astroparticle PhysicsVol. 2024(12)
Arizona State University (US)
Openalex Percentile: Top 83%
Galaxies: Formation, Evolution, Phenomena
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