Uncertainty quantification for neutrino opacities in core-collapse supernovae and neutron star mergers

Zidu Lin, Andrew W. Steiner, and Jérôme Margueron
Phys. Rev. C 107, 015804 – Published 24 January 2023

Abstract

We perform an extensive study of the correlations between the neutrino-nucleon inverse mean free paths (IMFPs) and the underlying equation of states (EoSs). Strong interaction uncertainties in the neutrino mean free path are investigated in different density regimes. The nucleon effective mass, the nucleon chemical potentials, and the residual interactions in the medium play an important role in determining neutrino-nucleon interactions in a density-dependent manner. We study how the above quantities are constrained by an EoS consistent with (i) nuclear mass measurements, (ii) proton-proton scattering phase shifts, and (iii) neutron star observations. We then study the uncertainties of both the charged current and the neutral current neutrino-nucleon inverse mean free paths due to the variation of these quantities, using the Hartree-Fock+random phase approximation method. Finally, we calculate the Pearson correlation coefficients between (i) the EoS-based quantities and the EoS-based quantities; (ii) the EoS-based quantities and the IMFPs; (iii) the IMFPs and the IMFPs. We find a strong impact of residual interactions on neutrino opacity in the spin and spin-isospin channels, which are not well constrained by current nuclear modelings.

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  • Received 18 July 2022
  • Accepted 9 January 2023

DOI:https://doi.org/10.1103/PhysRevC.107.015804

©2023 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

Zidu Lin1, Andrew W. Steiner1,2, and Jérôme Margueron3

  • 1Department of Physics and Astronomy, University of Tennessee, Knoxville 37996, Tennessee, USA
  • 2Physics Division, Oak Ridge National Laboratory, Oak Ridge 37831, Tennessee, USA
  • 3Université de Lyon, Université de Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, F-69622 Villeurbanne, France

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Vol. 107, Iss. 1 — January 2023

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