An open-source machine learning framework for global analyses of parton distributions.
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Updated
Aug 8, 2025 - Python
An open-source machine learning framework for global analyses of parton distributions.
PDFflow is parton distribution function interpolation library written in Python and based on the TensorFlow framework.
A Bayesian approach to parton density extraction.
A modern, high-performance framework for fast and flexible PDF fitting.
The public code for SIMUnet, a NNPDF based tool to perform simultaneous determination of PDFs and EFT Wilson coefficients.
A fast and reliable PDF and TMD interpolation library with modern features
This is the source code for my PhD thesis
A python package that utilizes a string-based parametrization of quark and gluon Generalized Parton Distribution functions (GPDs). It leverages an expansion in conformal partial waves and conformal moments to compute GPDs via Mellin-Barnes integrals, accessible over the whole physical region in parton x, skewness eta and Mandelstam t.
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