Reweighting Monte Carlo Predictions and Automated Fragmentation Variations in Pythia 8

Abstract

This work reports on a method for uncertainty estimation in simulated collider-event predictions. The method is based on a Monte Carlo-veto algorithm, and extends previous work on uncertainty estimates in parton showers by including uncertainty estimates for the Lund string-fragmentation model. This method is advantageous from the perspective of simulation costs: a single ensemble of generated events can be reinterpreted as though it was obtained using a different set of input parameters, where each event now is accompanied with a corresponding weight. This allows for a robust exploration of the uncertainties arising from the choice of input model parameters, without the need to rerun full simulation pipelines for each input parameter choice. Such explorations are important when determining the sensitivities of precision physics measurements. Accompanying code is available at https://gitlab.com/uchep/mlhad-weights-validation.

19 pages, 7 figures, public code available

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• PYTHIA 6.4 Physics and Manual
• Herwig++ Physics and Manual
• Tuning PYTHIA 8.1: the Monash 2013 Tune
• Robust Independent Validation of Experiment and Theory: Rivet version 3
• Event Generators for High-Energy Physics Experiments
• On improving NLO merging for $t\bar{t}W$ production
• Towards a Deep Learning Model for Hadronization
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Cited by in corpus (7)

• Towards a data-driven model of hadronization using normalizing flows
• Describing Hadronization via Histories and Observables for Monte-Carlo Event Reweighting
• On the impact of heavy meson production spectra on searches for heavy neutral leptons
• Post-hoc reweighting of hadron production in the Lund string model
• Road map for the tuning of hadronic interaction models with accelerator-based and astroparticle data
• Characterizing the hadronization of parton showers using the HOMER method
• The Hadronization Impact on $J/\psi$ Energy Correlators: A Pythia8 Study from Partonic to Hadronic Observables