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Title: Automated parton-shower variations in PYTHIA 8

Abstract

In the era of precision physics measurements at the LHC, efficient and exhaustive estimations of theoretical uncertainties play an increasingly crucial role. In the context of Monte Carlo (MC) event generators, the estimation of such uncertainties traditionally requires independent MC runs for each variation, for a linear increase in total run time. In this work, we report on an automated evaluation of the dominant (renormalization-scale and nonsingular) perturbative uncertainties in the pythia 8 event generator, with only a modest computational overhead. Each generated event is accompanied by a vector of alternative weights (one for each uncertainty variation), with each set separately preserving the total cross section. Explicit scale-compensating terms can be included, reflecting known coefficients of higher-order splitting terms and reducing the effect of the variations. In conclusion, the formalism also allows for the enhancement of rare partonic splittings, such as g→bb¯ and q→qγ, to obtain weighted samples enriched in these splittings while preserving the correct physical Sudakov factors.

Authors:
ORCiD logo [1]; ORCiD logo [2]
  1. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States). Computing Division
  2. Monash Univ., Melbourne, VIC (Australia). School of Physics and Astronomy
Publication Date:
Research Org.:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI Identifier:
1339145
Alternate Identifier(s):
OSTI ID: 1328471
Report Number(s):
COEPP-MN-16-13; MCNET-16-14; FERMILAB-PUB-16-186-CD; MCNET-16-15; arXiv:1605.08352
Journal ID: ISSN 2470-0010; 1465857; TRN: US1701583
Grant/Contract Number:  
AC02-07CH11359
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Physical Review D
Additional Journal Information:
Journal Volume: 94; Journal Issue: 7; 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

Mrenna, S., and Skands, P. Automated parton-shower variations in PYTHIA 8. United States: N. p., 2016. Web. doi:10.1103/PhysRevD.94.074005.
Mrenna, S., & Skands, P. Automated parton-shower variations in PYTHIA 8. United States. https://doi.org/10.1103/PhysRevD.94.074005
Mrenna, S., and Skands, P. 2016. "Automated parton-shower variations in PYTHIA 8". United States. https://doi.org/10.1103/PhysRevD.94.074005. https://www.osti.gov/servlets/purl/1339145.
@article{osti_1339145,
title = {Automated parton-shower variations in PYTHIA 8},
author = {Mrenna, S. and Skands, P.},
abstractNote = {In the era of precision physics measurements at the LHC, efficient and exhaustive estimations of theoretical uncertainties play an increasingly crucial role. In the context of Monte Carlo (MC) event generators, the estimation of such uncertainties traditionally requires independent MC runs for each variation, for a linear increase in total run time. In this work, we report on an automated evaluation of the dominant (renormalization-scale and nonsingular) perturbative uncertainties in the pythia 8 event generator, with only a modest computational overhead. Each generated event is accompanied by a vector of alternative weights (one for each uncertainty variation), with each set separately preserving the total cross section. Explicit scale-compensating terms can be included, reflecting known coefficients of higher-order splitting terms and reducing the effect of the variations. In conclusion, the formalism also allows for the enhancement of rare partonic splittings, such as g→bb¯ and q→qγ, to obtain weighted samples enriched in these splittings while preserving the correct physical Sudakov factors.},
doi = {10.1103/PhysRevD.94.074005},
url = {https://www.osti.gov/biblio/1339145}, journal = {Physical Review D},
issn = {2470-0010},
number = 7,
volume = 94,
place = {United States},
year = {Mon Oct 03 00:00:00 EDT 2016},
month = {Mon Oct 03 00:00:00 EDT 2016}
}

Journal Article:

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Cited by: 50 works
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Works referenced in this record:

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Works referencing / citing this record:

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