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Progress in the neural network determination of polarized parton distributions

Abstract:

We review recent progress towards a determination of a set of polarized parton distributions from a global set of deep-inelastic scattering data based on the NNPDF methodology, in analogy with the unpolarized case. This method is designed to provide a faithful and statistically sound representation of parton distributions and their uncertainties. We show how the FastKernel method provides a fast and accurate method for solving the polarized DGLAP equations. We discuss the polarized PDF parame...

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Authors


Ridolfi, G More by this author
Del Debbio, L More by this author
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Journal:
Proceedings of Science
Publication date:
2010
EISSN:
1824-8039
URN:
uuid:980887ed-3ced-406f-a3be-7b5cf1694a44
Source identifiers:
477531
Local pid:
pubs:477531
Language:
English

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