An open-source machine learning framework for global analyses of parton distributions.
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Updated
Sep 19, 2024 - Python
An open-source machine learning framework for global analyses of parton distributions.
A Bayesian approach to parton density extraction.
Fast QCD evolution and convolution
Monte Carlo Event Generator for High Energy Diffraction [arXiv:1910.06300] [arXiv:2304.06010]
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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