{"title":"FlexRT -- A fast and flexible cosmological radiative transfer code for reionization studies I: Code validation","authors":"Christopher Cain, Anson D'Aloisio","doi":"arxiv-2409.04521","DOIUrl":null,"url":null,"abstract":"The wealth of high-quality observational data from the epoch of reionization\nthat will become available in the next decade motivates further development of\nmodeling techniques for their interpretation. Among the key challenges in\nmodeling reionization are (1) its multi-scale nature, (2) the computational\ndemands of solving the radiative transfer (RT) equation, and (3) the large size\nof reionization's parameter space. In this paper, we present and validate a new\nRT code designed to confront these challenges. FlexRT (Flexible Radiative\nTransfer) combines adaptive ray tracing with a highly flexible treatment of the\nintergalactic ionizing opacity. This gives the user control over how the\nintergalactic medium (IGM) is modeled, and provides a way to reduce the\ncomputational cost of a FlexRT simulation by orders of magnitude while still\naccounting for small-scale IGM physics. Alternatively, the user may increase\nthe angular and spatial resolution of the algorithm to run a more traditional\nreionization simulation. FlexRT has already been used in several contexts,\nincluding simulations of the Lyman-$\\alpha$ forest of high-$z$ quasars, the\nredshifted 21cm signal from reionization, as well as in higher resolution\nreionization simulations in smaller volumes. In this work, we motivate and\ndescribe the code, and validate it against a set of standard test problems from\nthe Cosmological Radiative Transfer Comparison Project. We find that FlexRT is\nin broad agreement with a number of existing RT codes in all of these tests.\nLastly, we compare FlexRT to an existing adaptive ray tracing code to validate\nFlexRT in a cosmological reionization simulation.","PeriodicalId":501207,"journal":{"name":"arXiv - PHYS - Cosmology and Nongalactic Astrophysics","volume":"75 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Cosmology and Nongalactic Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.04521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The wealth of high-quality observational data from the epoch of reionization
that will become available in the next decade motivates further development of
modeling techniques for their interpretation. Among the key challenges in
modeling reionization are (1) its multi-scale nature, (2) the computational
demands of solving the radiative transfer (RT) equation, and (3) the large size
of reionization's parameter space. In this paper, we present and validate a new
RT code designed to confront these challenges. FlexRT (Flexible Radiative
Transfer) combines adaptive ray tracing with a highly flexible treatment of the
intergalactic ionizing opacity. This gives the user control over how the
intergalactic medium (IGM) is modeled, and provides a way to reduce the
computational cost of a FlexRT simulation by orders of magnitude while still
accounting for small-scale IGM physics. Alternatively, the user may increase
the angular and spatial resolution of the algorithm to run a more traditional
reionization simulation. FlexRT has already been used in several contexts,
including simulations of the Lyman-$\alpha$ forest of high-$z$ quasars, the
redshifted 21cm signal from reionization, as well as in higher resolution
reionization simulations in smaller volumes. In this work, we motivate and
describe the code, and validate it against a set of standard test problems from
the Cosmological Radiative Transfer Comparison Project. We find that FlexRT is
in broad agreement with a number of existing RT codes in all of these tests.
Lastly, we compare FlexRT to an existing adaptive ray tracing code to validate
FlexRT in a cosmological reionization simulation.