TL;DR
This paper revisits the Sudakov veto algorithm used in parton shower simulations and proposes reweighting techniques to enhance statistical efficiency through oversampling in targeted scenarios.
Contribution
It introduces novel reweighting methods to improve the statistical performance of the Sudakov veto algorithm in particle physics simulations.
Findings
Reweighting techniques increase sampling efficiency.
Oversampling improves statistical accuracy in specific cases.
Enhanced algorithm performance demonstrated.
Abstract
The Sudakov veto algorithm for generating emission and no-emission probabilities in parton showers is revisited and some reweighting techniques are suggested to improve statistics by oversampling in specific cases.
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