An analysis of Bayesian estimates for missing higher orders in perturbative calculations
Abstract
With current high precision collider data, the reliable estimation of theoretical uncertainties due to missing higher orders (MHOs) in perturbation theory has become a pressing issue for collider phenomenology. Traditionally, the size of the MHOs is estimated through scale variation, a simple but ad hoc method without probabilistic interpretation. Bayesian approaches provide a compelling alternative to estimate the size of the MHOs, but it is not clear how to interpret the perturbative scales, like the factorisation and renormalisation scales, in a Bayesian framework. Recently, it was proposed that the scales can be incorporated as hidden parameters into a Bayesian model. In this paper, we thoroughly scrutinise Bayesian approaches to MHO estimation and systematically study the performance of different models on an extensive set of high-order calculations. We extend the framework in two significant ways. First, we define a new model that allows for asymmetric probability distributions. Second, we introduce a prescription to incorporate information on perturbative scales without interpreting them as hidden model parameters. We clarify how the two scale prescriptions bias the result towards specific scale choice, and we discuss and compare different Bayesian MHO estimates among themselves and to the traditional scale variation approach. Finally, we provide amore »
- Authors:
-
- European Organization for Nuclear Research (CERN), Geneva (Switzerland)
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Publication Date:
- Research Org.:
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1825077
- Report Number(s):
- BNL-222237-2021-JAAM
Journal ID: ISSN 1029-8479; TRN: US2215777
- Grant/Contract Number:
- SC0012704
- 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: 2021; Journal Issue: 9; Journal ID: ISSN 1029-8479
- Publisher:
- Springer Nature
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; QCD Phenomenology; NLO Computations
Citation Formats
Duhr, Claude, Huss, Alexander, Mazeliauskas, Aleksas, and Szafron, Robert. An analysis of Bayesian estimates for missing higher orders in perturbative calculations. United States: N. p., 2021.
Web. doi:10.1007/jhep09(2021)122.
Duhr, Claude, Huss, Alexander, Mazeliauskas, Aleksas, & Szafron, Robert. An analysis of Bayesian estimates for missing higher orders in perturbative calculations. United States. https://doi.org/10.1007/jhep09(2021)122
Duhr, Claude, Huss, Alexander, Mazeliauskas, Aleksas, and Szafron, Robert. Mon .
"An analysis of Bayesian estimates for missing higher orders in perturbative calculations". United States. https://doi.org/10.1007/jhep09(2021)122. https://www.osti.gov/servlets/purl/1825077.
@article{osti_1825077,
title = {An analysis of Bayesian estimates for missing higher orders in perturbative calculations},
author = {Duhr, Claude and Huss, Alexander and Mazeliauskas, Aleksas and Szafron, Robert},
abstractNote = {With current high precision collider data, the reliable estimation of theoretical uncertainties due to missing higher orders (MHOs) in perturbation theory has become a pressing issue for collider phenomenology. Traditionally, the size of the MHOs is estimated through scale variation, a simple but ad hoc method without probabilistic interpretation. Bayesian approaches provide a compelling alternative to estimate the size of the MHOs, but it is not clear how to interpret the perturbative scales, like the factorisation and renormalisation scales, in a Bayesian framework. Recently, it was proposed that the scales can be incorporated as hidden parameters into a Bayesian model. In this paper, we thoroughly scrutinise Bayesian approaches to MHO estimation and systematically study the performance of different models on an extensive set of high-order calculations. We extend the framework in two significant ways. First, we define a new model that allows for asymmetric probability distributions. Second, we introduce a prescription to incorporate information on perturbative scales without interpreting them as hidden model parameters. We clarify how the two scale prescriptions bias the result towards specific scale choice, and we discuss and compare different Bayesian MHO estimates among themselves and to the traditional scale variation approach. Finally, we provide a practical prescription of how existing perturbative results at the standard scale variation points can be converted to 68%/95% credibility intervals in the Bayesian approach using the new public code MiHO.},
doi = {10.1007/jhep09(2021)122},
journal = {Journal of High Energy Physics (Online)},
number = 9,
volume = 2021,
place = {United States},
year = {Mon Sep 20 00:00:00 EDT 2021},
month = {Mon Sep 20 00:00:00 EDT 2021}
}
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