Implementation of Monte-Carlo transport in the general relativistic SpEC code
Francois Foucart, Matthew D. Duez, Francois Hebert, Lawrence E., Kidder, Phillip Kovarik, Harald P. Pfeiffer, Mark A. Scheel

TL;DR
This paper details the implementation of a Monte-Carlo neutrino transport algorithm within the SpEC code, aiming to improve the accuracy of neutron star merger simulations by reducing approximation errors in radiation transport.
Contribution
It introduces a novel Monte-Carlo neutrino transport method integrated into the SpEC code, with a focus on minimizing errors in optically thick regions and providing detailed validation tests.
Findings
The Monte-Carlo algorithm reduces approximation errors in neutrino transport.
Implementation in SpEC enables more accurate neutron star merger simulations.
Tests confirm the algorithm's effectiveness and expected impact.
Abstract
Neutrino transport and neutrino-matter interactions are known to play an important role in the evolution of neutron star mergers, and of their post-merger remnants. Neutrinos cool remnants, drive post-merger winds, and deposit energy in the low-density polar regions where relativistic jets may eventually form. Neutrinos also modify the composition of the ejected material, impacting the outcome of nucleosynthesis in merger outflows and the properties of the optical/infrared transients that they power (kilonovae). So far, merger simulations have largely relied on approximate treatments of the neutrinos (leakage, moments) that simplify the equations of radiation transport in a way that makes simulations more affordable, but also introduces unquantifiable errors in the results. To improve on these methods, we recently published a first simulation of neutron star mergers using a low-cost…
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