Evaluating radiation transport errors in merger simulations using a Monte-Carlo algorithm
Francois Foucart, Matthew D. Duez, Lawerence E. Kidder, Ronny Nguyen,, Harald P. Pfeiffer, Mark A. Scheel

TL;DR
This study uses a Monte-Carlo algorithm to evaluate errors in approximate neutrino transport methods in neutron star merger simulations, revealing significant inaccuracies in polar regions affecting kilonova and gamma-ray burst modeling.
Contribution
First application of a time-dependent general relativistic Monte-Carlo algorithm to assess neutrino transport errors in merger simulations.
Findings
The moment scheme's closure is highly inaccurate in polar regions.
The two-moment scheme overestimates neutrino density by ~50% in polar regions.
The scheme underestimates neutrino pair-annihilation rates by factors of 2-3.
Abstract
Neutrino-matter interactions play an important role in the post-merger evolution of neutron star-neutron star and black hole-neutron star mergers. Most notably, they determine the properties of the bright optical/infrared transients observable after a merger. Unfortunately, Boltzmann's equations of radiation transport remain too costly to be evolved directly in merger simulations. Simulations rely instead on approximate transport algorithms with unquantified modeling errors. In this paper, we use for the first time a time-dependent general relativistic Monte-Carlo (MC) algorithm to solve Boltzmann's equations and estimate important properties of the neutrino distribution function ~10ms after a neutron star merger. We do not fully couple the MC algorithm to the fluid evolution, but use a short evolution of the merger remnant to critically assess errors in our approximate gray two-moment…
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