2 papers
hep-ph2025
Towards AI-assisted Neutrino Flavor Theory Design
Jason Benjamin Baretz, Max Fieg, Vijay Ganesh +4
Particle physics theories, such as those which explain neutrino flavor mixing, arise from a vast landscape of model-building possibilities. A model's construction typically relies…
hep-ph2023
Visualization and Efficient Generation of Constrained High-dimensional Theoretical Parameter Spaces
Jason Baretz, Nicholas Carrara, Jacob Hollingsworth +1
We describe a set of novel methods for efficiently sampling high-dimensional parameter spaces of physical theories defined at high energies, but constrained by experimental measure…