Reweighting Parton Showers
Johannes Bellm, Simon Pl\"atzer, Peter Richardson, Andrzej Si\'odmok,, Stephen Webster
TL;DR
This paper introduces a novel reweighting method for parton-shower Monte Carlo predictions, enabling efficient scale variation studies by generalizing the Sudakov veto algorithm, with practical implementations in Herwig 7.
Contribution
It presents a new reweighting technique for parton showers based on a generalized Sudakov veto algorithm, allowing for flexible scale variation analysis.
Findings
Reweighting method successfully applied to physical distributions.
Implementation available in Herwig 7.
Method enhances efficiency of scale variation studies.
Abstract
We report on the possibility of reweighting parton-shower Monte Carlo predictions for scale variations in the parton-shower algorithm. The method is based on a generalization of the Sudakov veto algorithm. We demonstrate the feasibility of this approach using example physical distributions. Implementations are available for both the parton-shower modules in the Herwig 7 event generator.
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