An open-source machine learning framework for global analyses of parton distributions.
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Updated
Jan 24, 2025 - 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)).
Code related to my work on the Yang Lee edge singularity for classic O(N) universality classes. I hand derived flow equations for a full second order derivative expansion. Then using a Taylor expansion about various field values, I use Mathematica to compute the flow equations for the Taylor coefficients, simplify equations, and solve them.
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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