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DOE OSTI · 2568585

Bayesian optimization of PYTHIA 8 tunes

Al Kadhim, Ali [Florida State Univ., Tallahassee, FL (United States)] (ORCID:0000000334908407)·Prosper, Harrison B. [Florida State Univ., Tallahassee, FL (United States)] (ORCID:0000000240772713)·Mrenna, Stephen [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (ORCID:000000018731160X)
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Abstract

A new tune (set of model parameters) is found for the six most important parameters of the PYTHIA 8 final state parton shower and hadronization model using Bayesian optimization. The tune fits the Large Electron-Positron collider (LEPI) data from ALEPH better than the default tune in PYTHIA 8. To the best of our knowledge, we present the most comprehensive application of Bayesian optimization to the tuning of a parton shower and hadronization model using the LEPI data.

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71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICSBayesian methodsBayesian optimizationLEPMonte Carlo methodscolor confinementhadron colliderslepton collidersoptimization problemsphenomenologyprobability theorypythia8quantum chromodynamicstunes

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Al Kadhim, Ali [Florida State Univ., Tallahassee, FL (United States)] (ORCID:0000000334908407), Prosper, Harrison B. [Florida State Univ., Tallahassee, FL (United States)] (ORCID:0000000240772713), Mrenna, Stephen [Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)] (ORCID:000000018731160X). 2025-09-11. Bayesian optimization of PYTHIA 8 tunes. https://doi.org/10.1103/1hn2-hz4q

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