[PDF][PDF] The path to proton structure at 1% accuracy
We present a new set of parton distribution functions (PDFs) based on a fully global dataset
and machine learning techniques: NNPDF4. 0. We expand the NNPDF3. 1 determination …
and machine learning techniques: NNPDF4. 0. We expand the NNPDF3. 1 determination …
The path to proton structure at 1% accuracy: NNPDF Collaboration
We present a new set of parton distribution functions (PDFs) based on a fully global dataset
and machine learning techniques: NNPDF4. 0. We expand the NNPDF3. 1 determination …
and machine learning techniques: NNPDF4. 0. We expand the NNPDF3. 1 determination …
An open-source machine learning framework for global analyses of parton distributions
NNPDF collaboration, RD Ball, S Carrazza… - The European Physical …, 2021 - Springer
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 …
parton distribution functions (PDFs). The code is released under an open source licence and …
A first unbiased global NLO determination of parton distributions and their uncertainties
We present a determination of the parton distributions of the nucleon from a global set of
hard scattering data using the NNPDF methodology: NNPDF2. 0. Experimental data include …
hard scattering data using the NNPDF methodology: NNPDF2. 0. Experimental data include …
A first determination of parton distributions with theoretical uncertainties
The parton distribution functions (PDFs) which characterize the structure of the proton are
currently one of the dominant sources of uncertainty in the predictions for most processes …
currently one of the dominant sources of uncertainty in the predictions for most processes …
Towards a new generation of parton densities with deep learning models
S Carrazza, J Cruz-Martinez - The European Physical Journal C, 2019 - Springer
We present a new regression model for the determination of parton distribution functions
(PDF) using techniques inspired from deep learning projects. In the context of the NNPDF …
(PDF) using techniques inspired from deep learning projects. In the context of the NNPDF …
The PDF4LHC21 combination of global PDF fits for the LHC Run III
A precise knowledge of the quark and gluon structure of the proton, encoded by the parton
distribution functions (PDFs), is of paramount importance for the interpretation of high …
distribution functions (PDFs), is of paramount importance for the interpretation of high …
The structure of the proton in the LHC precision era
J Gao, L Harland-Lang, J Rojo - Physics Reports, 2018 - Elsevier
We review recent progress in the determination of the parton distribution functions (PDFs) of
the proton, with emphasis on the applications for precision phenomenology at the Large …
the proton, with emphasis on the applications for precision phenomenology at the Large …
Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy
RD Ball, A Barontini, A Candido, S Carrazza… - The European Physical …, 2024 - Springer
We include uncertainties due to missing higher order corrections to QCD computations
(MHOU) used in the determination of parton distributions (PDFs) in the recent NNPDF4. 0 …
(MHOU) used in the determination of parton distributions (PDFs) in the recent NNPDF4. 0 …
A new generation of simultaneous fits to LHC data using deep learning
S Iranipour, M Ubiali - Journal of High Energy Physics, 2022 - Springer
A bstract We present a new methodology that is able to yield a simultaneous determination
of the Parton Distribution Functions (PDFs) of the proton alongside any set of parameters …
of the Parton Distribution Functions (PDFs) of the proton alongside any set of parameters …