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Abstract <p>The precise tuning of the Pythia8 Monte Carlo event generator is essential for accurate modeling of physics phenomena in the Belle II experiment. This work leverages the Professor2 package for multiparameter optimization to fine-tune Pythia8 parameters specifically for event variables. A systematic approach is employed, starting with sensitivity analyses to identify impactful parameters, followed by tuning procedures to align Monte Carlo simulations with experimental data. The tuning process is validated through comprehensive comparisons with both existing Belle tunes and experimental datasets, ensuring improved agreement and robust parameter sets. Results demonstrate significant advancements in modeling off-resonance data, enhancing the reliability of simulated event variables for Belle II analyses.</p>

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Pythia Generator Parameters Tuning with Professor2 Package Oriented for Belle2 Physics

  • 期刊论文

  • 发表日期：

    2025年10月25日

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  • H. M. Ghumaryan

摘要

Abstract

The precise tuning of the Pythia8 Monte Carlo event generator is essential for accurate modeling of physics phenomena in the Belle II experiment. This work leverages the Professor2 package for multiparameter optimization to fine-tune Pythia8 parameters specifically for event variables. A systematic approach is employed, starting with sensitivity analyses to identify impactful parameters, followed by tuning procedures to align Monte Carlo simulations with experimental data. The tuning process is validated through comprehensive comparisons with both existing Belle tunes and experimental datasets, ensuring improved agreement and robust parameter sets. Results demonstrate significant advancements in modeling off-resonance data, enhancing the reliability of simulated event variables for Belle II analyses.