Stochastically sampling color configurations

Isaacson, Joshua; Prestel, Stefan

doi:10.1103/PhysRevD.99.014021

Title: Stochastically sampling color configurations

Journal Article · Tue Jan 15 00:00:00 EST 2019 · Physical Review. D.

DOI:https://doi.org/10.1103/PhysRevD.99.014021· OSTI ID:1490911

Isaacson, Joshua; Prestel, Stefan

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 N_C = 3, using the correct color factor including subleading corrections with a parton shower. As a result, 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.

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Research Organization:: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: AC02–07CH11359; AC02-07CH11359

OSTI ID:: 1490911

Alternate ID(s):: OSTI ID: 1467055

Report Number(s):: arXiv:1806.10102; FERMILAB-PUB-18-296-T; PRVDAQ; 014021

Journal Information:: Physical Review. D., Journal Name: Physical Review. D. Vol. 99 Journal Issue: 1; ISSN 2470-0010

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 15 works

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