2 papers
hep-ph2026
Machine Learning for Predicting the Proton Structure Function in QCD
Shahin Atashbar Tehrani, Elham Astaraki, Fatemeh Arbabifar
We present a comparative study of four supervised machine learning regression algorithms -- Support Vector Regression (SVR), Gradient Boosting Regression (GBR), Gaussian Process Re…
hep-ph2026
New analysis for Nucleon Form Factors from GPDs
Fatemeh Arbabifar, Nader Morshedian, Shahin Atashbar Tehrani
Generalized Parton Distributions (GPDs) provide a comprehensive framework for describing the three-dimensional structure of the nucleon. Extracting GPDs from experimental data requ…