29 citations · 53 across the 8 of their papers we have counts for
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astro-ph.HE2023
Energy Dependence of Flavor Instabilities Stemming from Crossings in the Neutrino Flavor Lepton Number Angular Distribution
Pedro Dedin Neto, Irene Tamborra, Shashank Shalgar
In core-collapse supernovae and neutron star mergers, the neutrino density is so large that neutrino-neutrino refraction can lead to flavor conversion, if a zero-crossing is presen…
astro-ph.HE2020★ 14 cited
Machine Learning applied to Multifrequency Data in Astrophysics: Blazar Classification
Bruno Arsioli, Pedro Dedin
The study of machine learning (ML) techniques for the autonomous classification of astrophysical sources is of great interest, and we explore its applications in the context of a m…