8 citations · 14 across the 5 of their papers we have counts for
6 papers
Machine Learning Detection of Non-Axisymmetric Fast Flavor Instabilities in Compact Objects
Madhurima Chakraborty, Sajad Abbar, Meng-Ru Wu +2
Neutrinos in dense astrophysical environments such as core-collapse supernovae (CCSNe) and neutron star mergers (NSMs) can undergo FFCs, which could develop on extremely small scal…
Neutrino transport and flavor instabilities in a post-merger disk
Erick Urquilla, Swapnil Shankar, Debraj Kundu +6
Neutron star mergers are multimessenger sources whose dynamics and signals depend critically on neutrinos and their flavor transformations. We investigate whether fast and collisio…
Neutrino flavor instabilities in neutron star mergers with moment transport: Slow, fast, and collisional modes
Julien Froustey, Francois Foucart, Christian Hall +5
Determining where, when, and how neutrino flavor oscillations must be included in large-scale simulations of hot and dense astrophysical environments is an enduring challenge that…
Advection Algorithms for Quantum Neutrino Moment Transport
Evan Grohs, Sherwood Richers, Julien Froustey +3
Neutrino transport in compact objects is an inherently challenging multi-dimensional problem. This difficulty is compounded if one includes flavor transformation -- an intrinsicall…
Quantum Closures for Neutrino Moment Transport
James P. Kneller, Julien Froustey, Evan B. Grohs +3
A computationally efficient method for calculating the transport of neutrino flavor in simulations is to use angular moments of the neutrino one-body reduced density matrix, i.e.,…
Elastic Scattering in General Relativistic Ray Tracing for Neutrinos
M. Brett Deaton, Evan O'Connor, Y. L. Zhu +5
We present a covariant ray tracing algorithm for computing high-resolution neutrino distributions in general relativistic numerical spacetimes with hydrodynamical sources. Our form…