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  A Bayesian tune of the Herwig Monte Carlo event generator

Cagnina, S. L., Kröninger, K., Kluth, S., & Verbytskyi, A. (2023). A Bayesian tune of the Herwig Monte Carlo event generator. Journal of Instrumentation, 18, P10033. doi:10.1088/1748-0221/18/10/P10033.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-1110-B Version Permalink: https://hdl.handle.net/21.11116/0000-000F-1111-A
Genre: Journal Article

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https://publications.mppmu.mpg.de/2023/MPP-2023-302/FullText._Inst._18_P10033.pdf (Any fulltext)
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 Creators:
Cagnina, Salvatore La1, Author
Kröninger, Kevin1, Author
Kluth, Stefan1, Author
Verbytskyi, Andrii1, Author
Affiliations:
1Max Planck Institute for Physics, Max Planck Society and Cooperation Partners, ou_2253650              

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Free keywords: Experimental High Energy Physics
 Abstract: The optimisation (tuning) of the free parameters of Monte Carlo event generators by comparing their predictions with data is important since the simulations are used to calculate experimental efficiency and acceptance corrections, or provide predictions for signatures of hypothetical new processes in experiments. We present a tuning procedure that is based on Bayesian reasoning and that allows for a proper statistical interpretation of the results. The parameter space is fully explored using Markov Chain Monte Carlo. We apply the tuning procedure to the Herwig7 event generator with both the cluster and the string hadronization models and a large set of measurements from hadronic Z-boson decays produced at LEP in e+e- collisions. Furthermore, we introduce a coherent propagation of uncertainties from the realm of parameters to the realm of observables and we show the effects of including experimental correlations of the measurements. To allow comparison with the approaches of other groups, we repeat the tuning considering weights for individual measurements.

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 Dates: 2023
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: MPP-2023-302
URI: https://publications.mppmu.mpg.de/?action=search&mpi=MPP-2023-302
arXiv: arxiv:2302.01139
DOI: 10.1088/1748-0221/18/10/P10033
URI: https://inspirehep.net/literature/2628977
 Degree: -

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Title: Journal of Instrumentation
  Abbreviation : J.Inst.
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 18 Sequence Number: - Start / End Page: P10033 Identifier: -