125 citations · 999 across the 30 of their papers we have counts for
6 papers · 1 filter
Physics-Informed Neural Networks for Predicting the Asymptotic Outcome of Fast Neutrino Flavor Conversions
Sajad Abbar, Meng-Ru Wu, Zewei Xiong
In the most extreme astrophysical environments, such as core-collapse supernovae (CCSNe) and neutron star mergers (NSMs), neutrinos can undergo fast flavor conversions (FFCs) on ex…
Detecting Fast Neutrino Flavor Conversions with Machine Learning
Sajad Abbar, Hiroki Nagakura
Neutrinos in dense environments like core-collapse supernovae (CCSNe) and neutron star mergers (NSMs) can undergo fast flavor conversions (FFCs) once the angular distribution of ne…
Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box
Zewei Xiong, Meng-Ru Wu, Sajad Abbar +3
The fast flavor conversions (FFCs) of neutrinos generally exist in core-collapse supernovae and binary neutron-star merger remnants, and can significantly change the flavor composi…
Fast Neutrino Flavor Conversions can Help and Hinder Neutrino-Driven Explosions
Jakob Ehring, Sajad Abbar, Hans-Thomas Janka +2
We present the first simulations of core-collapse supernovae in axial symmetry with feedback from fast neutrino flavor conversion (FFC). Our schematic treatment of FFCs assumes ins…
Applications of Machine Learning to Detecting Fast Neutrino Flavor Instabilities in Core-Collapse Supernova and Neutron Star Merger Models
Sajad Abbar
Neutrinos propagating in a dense neutrino gas, such as those expected in core-collapse supernovae (CCSNe) and neutron star mergers (NSMs), can experience fast flavor conversions on…
Fast Neutrino Flavor Conversion in Core-Collapse Supernovae: A Parametric Study in 1D Models
Jakob Ehring, Sajad Abbar, Hans-Thomas Janka +2
We explore the impact of small-scale flavor conversions of neutrinos, the so-called fast flavor conversions (FFCs), on the dynamical evolution and neutrino emission of core-collaps…