Implementing NLO DGLAP evolution in parton showers View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-10

AUTHORS

Stefan Höche, Frank Krauss, Stefan Prestel

ABSTRACT

We present a parton shower which implements the DGLAP evolution of parton densities and fragmentation functions at next-to-leading order precision up to effects stemming from local four-momentum conservation. The Monte-Carlo simulation is based on including next-to-leading order collinear splitting functions in an existing parton shower and combining their soft enhanced contributions with the corresponding terms at leading order. Soft double counting is avoided by matching to the soft eikonal. Example results from two independent realizations of the algorithm, implemented in the two event generation frameworks Pythia and Sherpa, illustrate the improved precision of the new formalism. More... »

PAGES

93

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/jhep10(2017)093

    DOI

    http://dx.doi.org/10.1007/jhep10(2017)093

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    https://app.dimensions.ai/details/publication/pub.1092227161


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