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Toward an efficient modeling of neutrino-driven winds in binary neutron star mergers

Published online by Cambridge University Press:  27 February 2023

Davide Gizzi*
Affiliation:
Department of Astronomy and Oskar Klein Centre, Stockholm University, Stockholm, Sweden
Stephan Rosswog
Affiliation:
Department of Astronomy and Oskar Klein Centre, Stockholm University, Stockholm, Sweden
Evan O’Connor
Affiliation:
Department of Astronomy and Oskar Klein Centre, Stockholm University, Stockholm, Sweden
Albino Perego
Affiliation:
Dipartimento di Fisica, Università degli Studi di Trento, Trento, Italy INFN-TIFPA, Trento Institute for Fundamental Physics and Applications, Trento, Italy
Christoffer Lundman
Affiliation:
Department of Astronomy and Oskar Klein Centre, Stockholm University, Stockholm, Sweden

Abstract

We present a mesh-free, neutrino transport approximation called Advanced Spectral Leakage, designed as a powerful tool for simulations of neutrino-driven winds in binary neutron star mergers with the Smoothed-Particle Hydrodynamics. We post-process a number of snapshots and compare relevant neutrino quantities with respect to computationally more expensive transport approaches. We find that the scheme recovers neutrino luminosities and mean energies within 25% accuracy and is computationally more efficient.

Type
Poster Paper
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union

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