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An open-source machine learning framework for global analyses of parton distributions

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arxiv 2109.02671 v1 pith:RUOCE3F6 submitted 2021-09-06 hep-ph

classification hep-ph
keywords frameworkcodedatadeterminationfittingglobalnnpdf4parton
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We present the software framework underlying the NNPDF4.0 global determination of parton distribution functions (PDFs). The code is released under an open source licence and is accompanied by extensive documentation and examples. The code base is composed by a PDF fitting package, tools to handle experimental data and to efficiently compare it to theoretical predictions, and a versatile analysis framework. In addition to ensuring the reproducibility of the NNPDF4.0 (and subsequent) determination, the public release of the NNPDF fitting framework enables a number of phenomenological applications and the production of PDF fits under user-defined data and theory assumptions.

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Cited by 3 Pith papers

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    A publicly available GPU implementation of Berends-Giele recursion computes pure gluon amplitudes in arbitrary spacetime dimensions over finite fields.

  2. Assessing the Impact of Fitting Methodology at aN$^3$LO with FPPDF: an Open Source Tool for Extracting Parton Distribution Functions in the Hessian Approach

    hep-ph 2026-02 conditional novelty 6.0 of 10

    FPPDF, a new public Hessian PDF fitting code, shows that the relative impact of aN3LO corrections and missing higher-order uncertainties on PDFs is insensitive to whether a fixed polynomial or neural-network parameter...

  3. High-energy dynamics of QCD: Theoretical and phenomenological results

    hep-ph 2025-06 conditional novelty 6.0 of 10

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