Abstract
AbstractWe report on the implementation of a coherent dipole shower algorithm along with an automated implementation for dipole subtraction and for performing powheg- and mc@nlo-type matching to next-to-leading order (NLO) calculations. Both programs are implemented as add-on modules to the event generator Herwig++. A preliminary tune of parameters to data acquired at LEP, HERA and Drell-Yan pair production at the Tevatron has been performed, and we find an overall very good description which is slightly improved by the NLO matching.
Highlights
Many physics analyses at the Large Hadron Collider (LHC) are nowadays based on Monte Carlo simulations [1,2,3,4,5], e.g. for acceptance determination or even for background subtraction
We report on the implementation of a coherent dipole shower algorithm along with an automated implementation for dipole subtraction and for performing POWHEG- and MC@NLO-type matching to next-to-leading order (NLO) calculations
A preliminary tune of parameters to data acquired at LEP, HERA and Drell-Yan pair production at the Tevatron has been performed, and we find an overall very good description which is slightly improved by the NLO matching
Summary
Many physics analyses at the Large Hadron Collider (LHC) are nowadays based on Monte Carlo simulations [1,2,3,4,5], e.g. for acceptance determination or even for background subtraction. Many new developments have addressed the idea of implementing a shower that is directly related to the subtraction terms commonly used in NLO calculations. This led to the implementation of parton showers with splitting kernels based on the Catani–Seymour subtraction scheme [39, 40] for NLO calculations [41, 42], which was proposed in [43]. Many NLO calculations are available as ready-to-use computer codes that often come as packages that include a number of processes at NLO already Most of these codes use the Catani–Seymour subtraction method to regularise infrared divergences.
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