The Sudakov Veto Algorithm Reloaded
Simon Platzer, Malin Sjodahl

TL;DR
This paper provides a comprehensive analysis and generalization of the Sudakov veto algorithm used in parton shower simulations, including cases with non-positive definite kernels, enhancing its applicability.
Contribution
It introduces a generalized version of the Sudakov veto algorithm that accounts for infrared cutoffs and develops new algorithms for non-positive definite kernels.
Findings
Proved a general form of the Sudakov veto algorithm including infrared cutoff dependence.
Developed algorithms for non-positive definite splitting kernels.
Enhanced the accuracy of parton shower simulations in complex scenarios.
Abstract
We perform a careful analysis of the main Monte Carlo algorithm used in parton shower simulations, the Sudakov veto algorithm. We prove a general version of the algorithm, directly including the dependence on the infrared cutoff. Taking this as a starting point, we then consider non-positive definite splitting kernels, as encountered when dealing with sub-leading colour correlations or splitting kernels beyond leading order. New algorithms suited for these situations are developed.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Computational Physics and Python Applications · Stochastic processes and financial applications
