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Towards the compression of parton densities through machine learning algorithms
One of the most fascinating challenges in the context of parton density function (PDF) is the determination of the best combined PDF uncertainty from individual PDF sets. Since 2014 multiple methodologies have been developed to achieve this goal. In this proceedings we first summarize the strategy a...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2153473 |