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NNPDF

Fitting proton substructure to observation data using neural networks

299

mentions

7

contributors

12738 commitsLast commit ≈ 5 days ago45 stars16 forks

Cite this software

Software version:

DOI:

10.5281/zenodo.5362228

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Description

The NNPDF collaboration determines the structure of the proton using Machine Learning methods. This is the main repository of the fitting and analysis frameworks. In particular it contains all the necessary tools to reproduce the NNPDF4.0 PDF determinations. See also our recent ArXiv preprint

Keywords

Machine learning

Programming languages

Python 95%
Jupyter Notebook 3%
C 1%
CSS 1%
TeX 1%

License

GPL-3.0-only

</>Source code

Participating organisations

European Organization for Nuclear Research

University of Edinburgh

Netherlands eScience Center

Vrije Universiteit Amsterdam

Natural Sciences & Engineering

Natural Sciences & Engineering

NIKHEF

Reference papers

Mentions

1.
Author(s): Raktim Abir, South China Normal U., Indiana U., CEEM, MIT, Cambridge, CTP, Helsinki U., Escuela Poli. Sup. U., Huelva, NAS Armenia, Yerevan, Diadema, Sao Paulo Fed. U., Northwestern U., KEK, Tsukuba, Madrid, Natl. U. Distance Educ., Regina U., SUSTech, SKLQSE, Shenzhen, TIFPA-INFN, Trento, Mexico U., ICN, INFN, Pavia, SUSTech, Shenzhen, ICAS, UNSAM, Buenos Aires, Munster U., ITP, Virginia U., Duke U., ECT, Trento, U. Mainz, PRISMA, Southern Methodist U., NCBJ, Warsaw, Unlisted, EG, UC, Riverside, Mexico U., Aligarh Muslim U., MCQST, Munich, Florida Intl. U., Barcelona U., Vrije U., Amsterdam, Indian Inst. Tech., New Delhi, Japan Women's U., Madrid U., U. Groningen, VSI, Saha Inst., INFN, Cagliari, Jagiellonian U., INFN, Genoa, Cruzeiro do Sul U., Zhengzhou U., Jyvaskyla U., Rio Grande do Sul U., North Carolina State U., U. Kentucky, Lexington, YITP, Stony Brook, Belarus State U., New Mexico State U., Pablo de Olavide U., Seville, INFN, Turin, Regensburg U., Temple U., Shandong U., Alcala de Henares U., Texas A-M, Commerce, Jan Kochanowski U., Unlisted, Unlisted, US, NIKHEF, Amsterdam, Graz U., INFN, Catania, Indian Inst. Tech., Mumbai, SUNY, Stony Brook, Pelotas U., George Washington U., Beijing, Inst. Theor. Phys., Maryland U., Darmstadt, GSI, Kyungpook Natl. U., Wisconsin U., Madison, Arizona State U., RIKEN BNL, UCLA, Pittsburgh U., Ecole Polytechnique, CPHT, Garching, Max Planck Inst., Shenzhen, SUSTC, Connecticut U., Americas U., Puebla, Prague, Tech. U., Amsterdam U., Hamburg U., Inst. Theor. Phys. II, Penn State U., Berks-Lehigh Valley, Frankfurt U., Ohio State U., Beijing, GUCAS, UC, Davis, Fudan U., TIFR, Mumbai, Dept. Theor. Phys., ICC, Barcelona U., Old Dominion U., Pavia U., Baruch Coll., Georgia State U., Basque U., Bilbao, U. Washington, Seattle (main), Moscow Phys. Eng. Inst., IKERBASQUE, Bilbao
Published in 2023
10.2172/1975510

Contributors

Contact person

Gijs van den Oord

Gijs van den Oord

Netherlands eScience Center

0000-0001-8367-1333 Mail Gijs

JC

Juan M Cruz-Martinez

CERN

0000-0002-8061-1965

RS

Roy Stegeman

University of Edinburgh

0000-0002-3852-8009

Carlos M. R. Rocha

Carlos M. R. Rocha

Netherlands eScience Center

0000-0002-4118-8308

Aron Jansen

Aron Jansen

0000-0002-4764-9347

JR

Juan Rojo

Vrije Universiteit Amsterdam

0000-0003-4279-2192

Gijs van den Oord

Gijs van den Oord

Netherlands eScience Center

0000-0001-8367-1333

TR

Tanjona Radonirina Rabemananjara

Postdoctoral Researcher

Nikhef/VU Amsterdam

0000-0002-8395-8059

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