Optimizing the Resolution of Hydrodynamic Simulations for MCRaT Radiative Transfer Calculations

dc.contributor.authorArita-Escalante, Jose
dc.contributor.authorParsotan, Tyler
dc.contributor.authorCenko, S. Bradley
dc.date.accessioned2023-05-18T15:44:29Z
dc.date.available2023-05-18T15:44:29Z
dc.date.issued2023-04-14
dc.description.abstractDespite their discovery about half a century ago, the Gamma-ray burst (GRB) prompt emission mechanism is still not well understood. Theoretical modeling of the prompt emission has advanced considerably due to new computational tools and techniques. One such tool is the PLUTO hydrodynamics code, which is used to numerically simulate GRB outflows. PLUTO uses Adaptive Mesh Refinement to focus computational efforts on the portion of the grid that contains the simulated jet. Another tool is the Monte Carlo Radiation Transfer (MCRaT) code, which predicts electromagnetic signatures of GRBs by conducting photon scatterings within a jet using PLUTO. The effects of the underlying resolution of a PLUTO simulation with respect to MCRaT post-processing radiative transfer results have not yet been quantified. We analyze an analytic spherical outflow and a hydrodynamically simulated GRB jet with MCRaT at varying spatial and temporal resolutions and quantify how decreasing both resolutions affect the resulting mock observations. We find that changing the spatial resolution changes the hydrodynamic properties of the jet, which directly affect the MCRaT mock observable peak energies. We also find that decreasing the temporal resolution artificially decreases the high energy slope of the mock observed spectrum, which increases both the spectral peak energy and the luminosity. We show that the effects are additive when both spatial and temporal resolutions are modified. Our results allow us to understand how decreased hydrodynamic temporal and spatial resolutions affect the results of post-processing radiative transfer calculations, allowing for the optimization of hydrodynamic simulations for radiative transfer codes.en_US
dc.description.sponsorshipThe material is based upon work supported by NASA under award number 80GSFC21M0002. Resources supporting this work were provided by the NASA HighEnd Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center.en_US
dc.description.urihttps://arxiv.org/abs/2304.07287en_US
dc.format.extent12 pagesen_US
dc.genrejournal articlesen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2swv0-thkp
dc.identifier.urihttps://doi.org/10.48550/arXiv.2304.07287
dc.identifier.urihttp://hdl.handle.net/11603/28005
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Center for Space Sciences and Technology
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.titleOptimizing the Resolution of Hydrodynamic Simulations for MCRaT Radiative Transfer Calculationsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-4299-2517en_US

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