Toward an efficient modeling of neutrino-driven winds in binary neutron star mergers. Issue Volume 16:Issue S363(2020) (June 2020)

• Record Type: Journal Article
• Authors: Gizzi, Davide; Rosswog, Stephan; O'Connor, Evan; Perego, Albino; Lundman, Christoffer
• Editors: Troja, Eleonora; Baring, Matthew G.
• Is Part Of: Proceedings of the International Astronomical Union. Volume 16:Issue S363(2020)
• Page Start: 354
• Page End: 355
• Publication Date: 2020-06
• Subjects: neutrinos -- radiative transfer -- hydrodynamics -- stars: neutron; Astronomy -- Congresses; Astronomy -- Periodicals; 520
• DOI: 10.1017/S1743921322000606
• Languages: English
• ISSNs: 1743-9213

Abstract

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.