Stochastically sampling color configurations

Joshua Isaacson, Stefan Prestel

Research output: Contribution to journalArticlepeer-review

10 Citations (SciVal)


Parton shower algorithms are key components of theoretical predictions for high-energy collider physics. Work toward 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 NC=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 Large Electron-Positron Collider data are presented.

Original languageEnglish
Article number014021
JournalPhysical Review D
Issue number1
Publication statusPublished - 2019 Jan 1

Subject classification (UKÄ)

  • Subatomic Physics


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