TY - JOUR
T1 - Reionization with Simba: How Much Does Astrophysics Matter in Modeling Cosmic Reionization?
AU - Hassan, Sultan
AU - Dave, Romeel
AU - McQuinn, Matthew
AU - Somerville, Rachel S.
AU - Keating, Laura C.
AU - Angles-Alcazar, Daniel
AU - Villaescusa-Navarro, Francisco
AU - Spergel, David N.
N1 - Funding Information:
The authors acknowledge helpful discussions with Adam Lidz and Enrico Garaldi. We thank Dominique Aubert for providing ATON and Jonathan Chardin for guidance on how to use it. We thank the anonymous referee for constructive comments, which have improved the manuscript significantly. S.H. and R.S.S. acknowledge support from the Simons Foundation. R.D. acknowledges support from the Wolfson Research Merit Award program of the U.K. Royal Society. D.A.A. acknowledges support by NSF grant AST-2009687. F.V.N. acknowledges funding from the WFIRST program through NNG26PJ30C and NNN12AA01C. L.C.K. was supported by the European Union’s Horizon 2020 research and innovation program under Marie Skłodowska-Curie grant agreement No. 885990. S imba was run using the DiRAC@Durham facility managed by the Institute for Computational Cosmology on behalf of the U.K. STFC DiRAC HPC Facility. The equipment was funded by BEIS capital funding via STFC capital grants ST/P002293/1, ST/R002371/1, and ST/S002502/1; Durham University; and STFC operations grant ST/R000832/1.
Publisher Copyright:
© 2022. The Author(s). Published by the American Astronomical Society.
PY - 2022/5/25
Y1 - 2022/5/25
N2 - Traditional large-scale models of reionization usually employ simple deterministic relations between halo mass and luminosity to predict how reionization proceeds. We here examine the impact on modeling reionization of using more detailed models for the ionizing sources as identified within the 100 h−1 Mpc cosmological hydrodynamic simulation Simba, coupled with postprocessed radiative transfer. Comparing with simple (one-to-one) models, the main difference with using Simba sources is the scatter in the relation between dark matter halos and star formation, and hence ionizing emissivity. We find that, at the power spectrum level, the ionization morphology remains mostly unchanged, regardless of the variability in the number of sources or escape fraction. In particular, the power spectrum shape remains unaffected and its amplitude changes slightly by less than 5%–10%, throughout reionization, depending on the scale and neutral fraction. Our results show that simplified models of ionizing sources remain viable to efficiently model the structure of reionization on cosmological scales, although the precise progress of reionization requires accounting for the scatter induced by astrophysical effects.
AB - Traditional large-scale models of reionization usually employ simple deterministic relations between halo mass and luminosity to predict how reionization proceeds. We here examine the impact on modeling reionization of using more detailed models for the ionizing sources as identified within the 100 h−1 Mpc cosmological hydrodynamic simulation Simba, coupled with postprocessed radiative transfer. Comparing with simple (one-to-one) models, the main difference with using Simba sources is the scatter in the relation between dark matter halos and star formation, and hence ionizing emissivity. We find that, at the power spectrum level, the ionization morphology remains mostly unchanged, regardless of the variability in the number of sources or escape fraction. In particular, the power spectrum shape remains unaffected and its amplitude changes slightly by less than 5%–10%, throughout reionization, depending on the scale and neutral fraction. Our results show that simplified models of ionizing sources remain viable to efficiently model the structure of reionization on cosmological scales, although the precise progress of reionization requires accounting for the scatter induced by astrophysical effects.
U2 - 10.3847/1538-4357/ac69e2
DO - 10.3847/1538-4357/ac69e2
M3 - Article
SN - 0004-637X
VL - 931
SP - 1
EP - 10
JO - Astrophysical Journal
JF - Astrophysical Journal
IS - 1
M1 - 62
ER -