An open-source machine learning framework for global analyses of parton distributions.
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Updated
Nov 26, 2024 - Python
An open-source machine learning framework for global analyses of parton distributions.
A Bayesian approach to parton density extraction.
Monte Carlo Event Generator for High Energy Diffraction [arXiv:1910.06300] [arXiv:2304.06010]
Fast QCD evolution and convolution
The Jet reconstruction Algorithm and the Jupyter Notebooks for plotting and comparing results with the data from the ATLAS Detector,CERN(PLB 790 108 (2019)).
Learn more about the Symbolica project: https://symbolica.io/
Exploring the phenomenological applications of rational approximations, such as Padé approximants, to estimate axial mass and radius of nucleons using experimental (quasistatic neutrino-nucleon scattering) and Lattice QCD data.
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