Improved Leakage-Equilibration-Absorption Scheme (ILEAS) for Neutrino Physics in Compact Object Mergers
Ricard Ardevol-Pulpillo (1,2), H.-Thomas Janka (1), Oliver Just (3),, and Andreas Bauswein (4,5) ((1) MPI Astrophysics, Garching, (2) Physics, Dept., Technische Univ. Munich, (3) RIKEN, Saitama, (4) GSI, Darmstadt, (5), HITS, Heidelberg)

TL;DR
The paper introduces ILEAS, a new efficient approximation method for neutrino effects in dense astrophysical environments, improving accuracy over traditional leakage schemes and matching detailed transport results within 15%.
Contribution
ILEAS is a novel neutrino treatment scheme that combines leakage, equilibration, and re-absorption with minimal parameters, suitable for 3D simulations of compact object mergers.
Findings
ILEAS achieves 10-15% accuracy compared to detailed neutrino transport.
It satisfactorily reproduces neutrino luminosities and electron fractions.
The method effectively models neutrino re-absorption around sources.
Abstract
We present a new, computationally efficient, energy-integrated approximation for neutrino effects in hot and dense astrophysical environments such as supernova cores and compact binary mergers and their remnants. Our new method, termed ILEAS for Improved Leakage-Equilibration-Absorption Scheme, improves the lepton-number and energy losses of traditional leakage descriptions by a novel prescription of the diffusion time-scale based on a detailed energy integral of the flux-limited diffusion equation. The leakage module is supplemented by a neutrino-equilibration treatment that ensures the proper evolution of the total lepton number and medium plus neutrino energies as well as neutrino-pressure effects in the neutrino-trapping domain. Moreover, we employ a simple and straightforwardly applicable ray-tracing algorithm for including re-absorption of escaping neutrinos especially in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
