Low-scale leptogenesis becomes viable in the neutrino seesaw framework when a first-order electroweak phase transition allows sphalerons to convert lepton asymmetry into baryon asymmetry at temperatures below the Standard Model decoupling point.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
hep-ph 2verdicts
UNVERDICTED 2representative citing papers
Physics-informed neural networks solve two-flavor neutrino oscillation equations in vacuum and matter with mean squared errors of order 10^{-3} to 10^{-4}, matching analytical results.
citing papers explorer
-
Exploring Leptogenesis in the Era of First Order Electroweak Phase Transition
Low-scale leptogenesis becomes viable in the neutrino seesaw framework when a first-order electroweak phase transition allows sphalerons to convert lepton asymmetry into baryon asymmetry at temperatures below the Standard Model decoupling point.
-
Physics-Informed Neural Networks for Solving Two-Flavor Neutrino Oscillations in Vacuum and Matter Environments for Atmospheric and Reactor Neutrinos
Physics-informed neural networks solve two-flavor neutrino oscillation equations in vacuum and matter with mean squared errors of order 10^{-3} to 10^{-4}, matching analytical results.