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Matching fully differential NNLO calculations and parton showers

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  • Published: 16 June 2014
  • Volume 2014, article number 89, (2014)
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Matching fully differential NNLO calculations and parton showers
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  • Simone Alioli1,
  • Christian W. Bauer1,
  • Calvin Berggren1,
  • Frank J. Tackmann2,
  • Jonathan R. Walsh1 &
  • …
  • Saba Zuberi1 

  • 462 Accesses

  • 73 Citations

  • 14 Altmetric

  • 2 Mentions

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A preprint version of the article is available at arXiv.

Abstract

We present a general method to match fully differential next-to-next-to-leading-order (NNLO) calculations to parton shower programs. We discuss in detail the perturbative accuracy criteria a complete NNLO + PS matching has to satisfy. Our method is based on consistently improving a given NNLO calculation with the leading-logarithmic (LL) resummation in a chosen jet resolution variable. The resulting NNLO + LL calculation is cast in the form of an event generator for physical events that can be directly interfaced with a parton shower routine, and we give an explicit construction of the input “Monte Carlo cross sections” satisfying all required criteria. We also show how other proposed approaches naturally arise as special cases in our method.

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This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.

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Authors and Affiliations

  1. Ernest Orlando Lawrence Berkeley National Laboratory, University of California, Berkeley, CA, 94720, U.S.A

    Simone Alioli, Christian W. Bauer, Calvin Berggren, Jonathan R. Walsh & Saba Zuberi

  2. Theory Group, Deutsches Elektronen-Synchrotron (DESY), D-22607, Hamburg, Germany

    Frank J. Tackmann

Authors
  1. Simone Alioli
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  2. Christian W. Bauer
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Correspondence to Frank J. Tackmann.

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ArXiv ePrint: 1311.0286

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Alioli, S., Bauer, C.W., Berggren, C. et al. Matching fully differential NNLO calculations and parton showers. J. High Energ. Phys. 2014, 89 (2014). https://doi.org/10.1007/JHEP06(2014)089

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  • Received: 29 November 2013

  • Revised: 23 April 2014

  • Accepted: 23 May 2014

  • Published: 16 June 2014

  • DOI: https://doi.org/10.1007/JHEP06(2014)089

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Keywords

  • Monte Carlo Simulations
  • NLO Computations
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