On stochastically sampling color configurations

TL;DR

This paper introduces an efficient algorithm for sampling color configurations in parton shower simulations, including subleading color corrections, improving the accuracy of high-energy collider predictions.

Contribution

The authors develop a stable, stand-alone algorithm for sampling color configurations with subleading corrections at fixed N_C=3, compatible with existing event generators.

Findings

Algorithm is numerically stable and efficient.

Preliminary comparisons to LEP data show promising results.

Can be integrated with PYTHIA for improved simulations.

Abstract

Parton shower algorithms are key components of theoretical predictions for high-energy collider physics. Work towards more accurate parton shower algorithms is thus pursued along many different avenues. The systematic treatment of subleading color corrections in parton shower algorithms is however technically challenging and remains elusive. In this article, we present an efficient and numerically stable algorithm to sample color configurations at fixed $N_C=3$, using the correct color factor including subleading corrections with a parton shower. The algorithm is implemented as stand-alone program that can be interfaced to the PYTHIA event generator. Preliminary comparisons to to LEP data are presented.