14 citations · 21 across the 5 of their papers we have counts for
5 papers
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…
The case for an EIC Theory Alliance: Theoretical Challenges of the EIC
Raktim Abir, Igor Akushevich, Tolga Altinoluk +167
We outline the physics opportunities provided by the Electron Ion Collider (EIC). These include the study of the parton structure of the nucleon and nuclei, the onset of gluon satu…
Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering
Manal Almaeen, Jake Grigsby, Joshua Hoskins +4
We develop a framework to establish benchmarks for machine learning and deep neural networks analyses of exclusive scattering cross sections (FemtoNet). Within this framework we pr…