Search Results for author: Sajad Abbar

Found 3 papers, 1 papers with code

Application of Neural Networks for the Reconstruction of Supernova Neutrino Energy Spectra Following Fast Neutrino Flavor Conversions

no code implementations30 Jan 2024 Sajad Abbar, Meng-Ru Wu, Zewei Xiong

Neutrinos can undergo fast flavor conversions (FFCs) within extremely dense astrophysical environments such as core-collapse supernovae (CCSNe) and neutron star mergers (NSMs).

Fast neutrino flavor conversions in one-dimensional core-collapse supernova models with and without muon creation

no code implementations15 Dec 2020 Francesco Capozzi, Sajad Abbar, Robert Bollig, H. -Thomas Janka

In very dense environments, neutrinos can undergo fast flavor conversions on scales as short as a few centimeters provided that the angular distribution of the neutrino lepton number crosses zero.

High Energy Astrophysical Phenomena High Energy Physics - Phenomenology

Fast Neutrino Flavor Conversion Modes in Multidimensional Core-collapse Supernova Models: the Role of the Asymmetric Neutrino Distributions

1 code implementation5 Nov 2019 Sajad Abbar, Huaiyu Duan, Kohsuke Sumiyoshi, Tomoya Takiwaki, Maria Cristina Volpe

Although the $11. 2\mathrm{M}_{\odot}$ model features $\nu_e - \bar\nu_e$ angular crossings and the associated fast modes at different time snapshots, the $27\mathrm{M}_{\odot}$ model does not show any crossings within the decoupling region.

High Energy Astrophysical Phenomena High Energy Physics - Theory

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