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The neural network approach to parton distributions
We introduce the neural network approach to global fits of parton distrubution functions. First we review previous work on unbiased parametrizations of deep-inelastic structure functions with faithful estimation of their uncertainties, and then we summarize the current status of neural network parto...
Autores principales: | , , , , |
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Lenguaje: | eng |
Publicado: |
2005
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/882730 |