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:
- Publication Date:
- Research Org.:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- 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; 014021
- Grant/Contract Number:
- AC02–07CH11359; AC02-07CH11359
- Resource Type:
- Published Article
- Journal Name:
- Physical Review D
- Additional Journal Information:
- Journal Name: Physical Review D 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. United States: N. p., 2019.
Web. doi:10.1103/PhysRevD.99.014021.
Isaacson, Joshua, & Prestel, Stefan. Stochastically sampling color configurations. United States. https://doi.org/10.1103/PhysRevD.99.014021
Isaacson, Joshua, and Prestel, Stefan. Tue .
"Stochastically sampling color configurations". United States. https://doi.org/10.1103/PhysRevD.99.014021.
@article{osti_1490911,
title = {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},
number = 1,
volume = 99,
place = {United States},
year = {2019},
month = {1}
}
https://doi.org/10.1103/PhysRevD.99.014021
Web of Science
Figures / Tables:

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Works referencing / citing this record:
Exponentiating virtual imaginary contributions in a parton shower
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Figures / Tables found in this record: