Merging meets matching in MC@NLO

By R. Frederix, Stefano Frixione. 2012

1,057 citations recorded by the source corpus.

A bstractThe next-to-leading order accuracy for MC@NLO results exclusive in J light jets is achieved if the computation is based on matrix elements that feature J and J + 1 QCD partons. The simultaneous prediction of observables which are exclusive in different light-jet multiplicities cannot simply be obtained by summing the above results over the relevant range in J; rather, a suitable merging procedure must be defined. We address the problem of such a merging, and propose a solution that can be easily incorporated into existing MC@NLO implementations. We use the automated aMC@NLO framework to illustrate how the method works in practice, by considering the production at the 8 TeV LHC of a Standard Model Higgs in association with up to J = 2 jets, and of an e+νe pair or a $ t\overline{t} $ pair in association with up to J = 1 jet.

Subfields: Artificial Intelligence, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/5248d8331ca09bc2de4f0ace0a50eb0bb48f5442

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In Artificial Intelligence

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In Nuclear and High Energy Physics

  1. Cms Collaboration
  2. Atlas Collaboration
  3. Gudrun Heinrich
  4. M. Schönherr
  5. Ansgar Denner
  6. Stefan Dittmaier
  7. Fabio Maltoni
  8. F. Krauss

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