skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Stochastically sampling color configurations [On stochastically sampling color configurations]

Abstract

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. 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.

Authors:
 [1];  [1]
  1. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
OSTI Identifier:
1490911
Alternate Identifier(s):
OSTI ID: 1467055
Report Number(s):
arXiv:1806.10102; FERMILAB-PUB-18-296-T
Journal ID: ISSN 2470-0010; PRVDAQ; 1679804
Grant/Contract Number:  
AC02-07CH11359; DE–AC02–07CH11359
Resource Type:
Journal Article: Published Article
Journal Name:
Physical Review D
Additional Journal Information:
Journal Volume: 99; Journal Issue: 1; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS

Citation Formats

Isaacson, Joshua, and Prestel, Stefan. Stochastically sampling color configurations [On stochastically sampling color configurations]. United States: N. p., 2019. Web. doi:10.1103/PhysRevD.99.014021.
Isaacson, Joshua, & Prestel, Stefan. Stochastically sampling color configurations [On stochastically sampling color configurations]. United States. doi:10.1103/PhysRevD.99.014021.
Isaacson, Joshua, and Prestel, Stefan. Tue . "Stochastically sampling color configurations [On stochastically sampling color configurations]". United States. doi:10.1103/PhysRevD.99.014021.
@article{osti_1490911,
title = {Stochastically sampling color configurations [On stochastically sampling color configurations]},
author = {Isaacson, Joshua and Prestel, Stefan},
abstractNote = {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. 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.},
doi = {10.1103/PhysRevD.99.014021},
journal = {Physical Review D},
issn = {2470-0010},
number = 1,
volume = 99,
place = {United States},
year = {2019},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1103/PhysRevD.99.014021

Citation Metrics:
Cited by: 1 work
Citation information provided by
Web of Science

Figures / Tables:

Table I Table I: Color variables in the color operators for quarks, antiquarks, and gluons.

Save / Share: