An open-source machine learning framework for global analyses of parton distributions.
-
Updated
Nov 12, 2025 - Python
An open-source machine learning framework for global analyses of parton distributions.
A Bayesian approach to parton density extraction.
Colibri is an adaptable, open-source platform for flexible Parton Distribution Function (PDF) fitting. It is a reportengine app that performs PDF fits with any given parametrisation.
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)).
Machine Learning Applied to Relativistic Heavy Ion Collision
MILC collaboration's fork of the Quantum EXpressions lattice field theory framework
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.
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.
Add a description, image, and links to the quantum-chromodynamics topic page so that developers can more easily learn about it.
To associate your repository with the quantum-chromodynamics topic, visit your repo's landing page and select "manage topics."