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Title: Precision phenomenology with MCFM

Abstract

Without proper control of numerical and methodological errors in theoretical predictions at the per mille level it is not possible to study the effect of input parameters in current hadron-collider measurements at the required precision. We present the new version of the parton-level code MCFM-9.0 that achieves this requirement through its highly-parallelized nature, significant performance improvements and new features. An automatic differential jettiness slicing cutoff extrapolation is introduced to assess the cutoff dependence of all results, thus ensuring their reliability and potentially improving fixed- cutoff results by an order of magnitude. The efficient differential study of PDF uncertainties and PDF set differences at NNLO, for multiple PDF sets simultaneously, is achieved by exploiting correlations. We use these improvements to study uncertainties and PDF sensitivity at NNLO, using 371 PDF set members. The work described here permits NNLO studies that were previously prohibitively expensive, and lays the groundwork necessary for a future implementation of NNLO calculations with a jet at Born level in MCFM.

Authors:
 [1]; ORCiD logo [2]
  1. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  2. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Illinois Inst. of Technology, Chicago, IL (United States). Dept. of Physics
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:
1569233
Report Number(s):
arXiv:1909.09117; FERMILAB-PUB-19-477-T; IIT-CAPP-19-03
Journal ID: ISSN 1029-8479; oai:inspirehep.net:1755084; TRN: US2001283
Grant/Contract Number:  
AC02-07CH11359
Resource Type:
Accepted Manuscript
Journal Name:
Journal of High Energy Physics (Online)
Additional Journal Information:
Journal Name: Journal of High Energy Physics (Online); Journal Volume: 2019; Journal Issue: 12; Journal ID: ISSN 1029-8479
Publisher:
Springer Berlin
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; QCD Phenomenology

Citation Formats

Campbell, John, and Neumann, Tobias. Precision phenomenology with MCFM. United States: N. p., 2019. Web. doi:10.1007/JHEP12(2019)034.
Campbell, John, & Neumann, Tobias. Precision phenomenology with MCFM. United States. https://doi.org/10.1007/JHEP12(2019)034
Campbell, John, and Neumann, Tobias. Wed . "Precision phenomenology with MCFM". United States. https://doi.org/10.1007/JHEP12(2019)034. https://www.osti.gov/servlets/purl/1569233.
@article{osti_1569233,
title = {Precision phenomenology with MCFM},
author = {Campbell, John and Neumann, Tobias},
abstractNote = {Without proper control of numerical and methodological errors in theoretical predictions at the per mille level it is not possible to study the effect of input parameters in current hadron-collider measurements at the required precision. We present the new version of the parton-level code MCFM-9.0 that achieves this requirement through its highly-parallelized nature, significant performance improvements and new features. An automatic differential jettiness slicing cutoff extrapolation is introduced to assess the cutoff dependence of all results, thus ensuring their reliability and potentially improving fixed- cutoff results by an order of magnitude. The efficient differential study of PDF uncertainties and PDF set differences at NNLO, for multiple PDF sets simultaneously, is achieved by exploiting correlations. We use these improvements to study uncertainties and PDF sensitivity at NNLO, using 371 PDF set members. The work described here permits NNLO studies that were previously prohibitively expensive, and lays the groundwork necessary for a future implementation of NNLO calculations with a jet at Born level in MCFM.},
doi = {10.1007/JHEP12(2019)034},
journal = {Journal of High Energy Physics (Online)},
number = 12,
volume = 2019,
place = {United States},
year = {Wed Dec 04 00:00:00 EST 2019},
month = {Wed Dec 04 00:00:00 EST 2019}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Figures / Tables:

Figure 1 Figure 1: NNLO $e$+ rapidity distributions for $W$+ production in the forward region, computed with uncertainties from a variety of PDF sets, normalized to the central PDF4LHC prediction.

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