From the 1 of 4 linked papers with an AI index.
4 papers
Machine Learning Detection of Non-Axisymmetric Fast Flavor Instabilities in Compact Objects
Madhurima Chakraborty, Sajad Abbar, Meng-Ru Wu +2
The paper applies machine‑learning classifiers to identify non‑axisymmetric electron lepton number (ELN) crossings, which signal fast neutrino flavor instabilities, using angular m…
Gravitational-Wave Signatures of Nonstandard Neutrino Properties in Collapsing Stellar Cores
Jakob Ehring, Sajad Abbar, H. -Thomas Janka +3
We present a novel multi-messenger approach for probing nonstandard neutrino properties through the detection of gravitational waves (GWs) from collapsing stellar cores and associa…
Flavor Equilibration of Supernova Neutrinos: Exploring the Dynamics of Slow Modes
Ian Padilla-Gay, Heng-Hao Chen, Sajad Abbar +2
Neutrinos experience collective flavor conversion in extreme astrophysical environments such as core-collapse supernovae (CCSNe). One manifestation of collective conversion is slow…
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…