29 citations · 53 across the 8 of their papers we have counts for
8 papers
Time-of-Flight Constraints on Neutrino Millicharge from Supernova Neutrinos in Galactic Magnetic Fields
Pedro Dedin Neto, AmirFarzan Esmaeili, Guilherme A. Nogueira +2
A millicharged neutrino propagating through magnetic fields experiences a small Lorentz-force deflection, which induces a geometric time delay. In the ultra-relativistic regime rel…
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…
On the Effects of Quantum Decoherence in a Future Supernova Neutrino Detection
Marcos V. dos Santos, Pedro C. de Holanda, Pedro Dedin Neto +1
Quantum decoherence effects in neutrinos, described by the open quantum systems formalism, serve as a gateway to explore potential new physics, including quantum gravity. Previous…
SN1987A neutrino burst: limits on flavor conversion
Pedro Dedin Neto, Marcos V. dos Santos, Pedro Cunha de Holanda +1
In this paper, we revisit the SN1987A neutrino data to see its constraints on flavor conversion. We are motivated by the fact that most works that analyze this data consider a spec…
Open-Source Numerical Solver for Neutrino Collective Effects -- I: Isotropic Neutrino Gas
Pedro Dedin Neto
In this paper, we introduce a new open-source code to find numerical solutions for the neutrino evolution considering neutrino-neutrino interactions, which result in the so-called…
Neutrino-(anti)neutrino forward scattering potential for massive neutrinos at low energies
Pedro Dedin Neto, Ernesto Kemp
In this work, we calculate expression for the potential due to neutrino-(anti)neutrino forward scattering at low energies () for ultra-relativistic massive neutrinos ($…
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…
The Liquid Argon In A Testbeam (LArIAT) Experiment
LArIAT Collaboration, R. Acciarri, C. J. Adams +103
The LArIAT liquid argon time projection chamber, placed in a tertiary beam of charged particles at the Fermilab Test Beam Facility, has collected large samples of pions, muons, ele…