Explicit Asymptotic Solutions of $ν_e + e^-$ Neutrino Networks for Large Sets of Partial Differential Equations in Core-Collapse Supernovae

Fuente: arXiv
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Autore principale: Chari, Raghav
Natura: Preprint
Pubblicazione: 2024
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author Chari, Raghav
author_facet Chari, Raghav
contents In physics, accurately modeling large-scale phenomena such as core-collapse supernovae, (CCSN), and neutron star mergers are computationally challenging and require solving large sets of partial and ordinary differential equations. Traditional methods used widely in the scientific community are predominantly implicit, which are approximations that often require drastic simplifications and can be computationally inefficient. This thesis presents results on a new software suite titled "Fast Explicit Neutrino Networks" or "FENN", that introduces a suite of algebraically stabilized explicit methods known as explicit asymptotic for modeling Neutrino Electron Scattering, (NES), presenting a novel approach that combines the stability of traditional methods with enhanced computational efficiency. Initial results show that FENN can deliver accurate solutions for neutrino networks at improved computational speeds. This thesis further covers new results for scaled networks beyond the constraints of standard energy groupings, as well as the dynamics of neutrino interactions such as the scattering of various neutrino flavors -- electron neutrinos ($ν_e$), electron anti-neutrinos ($\barν_e$), and muon/tau neutrinos ($ν_{μ,τ}$) as well as their anti-particles ($\barν_{μ,τ}$) -- off electrons.
format Preprint
id arxiv_https___arxiv_org_abs_2409_03133
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Explicit Asymptotic Solutions of $ν_e + e^-$ Neutrino Networks for Large Sets of Partial Differential Equations in Core-Collapse Supernovae
Chari, Raghav
High Energy Astrophysical Phenomena
Solar and Stellar Astrophysics
High Energy Physics - Phenomenology
In physics, accurately modeling large-scale phenomena such as core-collapse supernovae, (CCSN), and neutron star mergers are computationally challenging and require solving large sets of partial and ordinary differential equations. Traditional methods used widely in the scientific community are predominantly implicit, which are approximations that often require drastic simplifications and can be computationally inefficient. This thesis presents results on a new software suite titled "Fast Explicit Neutrino Networks" or "FENN", that introduces a suite of algebraically stabilized explicit methods known as explicit asymptotic for modeling Neutrino Electron Scattering, (NES), presenting a novel approach that combines the stability of traditional methods with enhanced computational efficiency. Initial results show that FENN can deliver accurate solutions for neutrino networks at improved computational speeds. This thesis further covers new results for scaled networks beyond the constraints of standard energy groupings, as well as the dynamics of neutrino interactions such as the scattering of various neutrino flavors -- electron neutrinos ($ν_e$), electron anti-neutrinos ($\barν_e$), and muon/tau neutrinos ($ν_{μ,τ}$) as well as their anti-particles ($\barν_{μ,τ}$) -- off electrons.
title Explicit Asymptotic Solutions of $ν_e + e^-$ Neutrino Networks for Large Sets of Partial Differential Equations in Core-Collapse Supernovae
topic High Energy Astrophysical Phenomena
Solar and Stellar Astrophysics
High Energy Physics - Phenomenology
url https://arxiv.org/abs/2409.03133