4 papers · 1 filter
Anomalous electroweak physics unraveled via evidential deep learning
Brandon Kriesten, T. J. Hobbs
The growth in beyond standard model (BSM) models and parametrizations has placed strong emphasis on systematically intercomparing within the range of possible models with controlle…
Quantum entropy and QCD factorization for low- DIS
Henry Bloss, Brandon Kriesten, T. J. Hobbs
Deeply inelastic scattering (DIS) is an essential process for exploring the structure of visible matter and testing the standard model. At the same time, the theoretical interpreta…
Explainable AI classification for parton density theory
Brandon Kriesten, Jonathan Gomprecht, T. J. Hobbs
Quantitatively connecting properties of parton distribution functions (PDFs, or parton densities) to the theoretical assumptions made within the QCD analyses which produce them has…
Learning PDFs through Interpretable Latent Representations in Mellin Space
Brandon Kriesten, T. J. Hobbs
Representing the parton distribution functions (PDFs) of the proton and other hadrons through flexible, high-fidelity parametrizations has been a long-standing goal of particle phy…