Reweighting Monte Carlo predictions and automated fragmentation variations in Pythia 8

Author:

Bierlich Christian1ORCID,Ilten Philip2ORCID,Menzo Tony2ORCID,Mrenna Stephen32,Szewc Manuel2,Wilkinson Michael K.2,Youssef Ahmed2ORCID,Zupan Jure2ORCID

Affiliation:

1. Lund University

2. University of Cincinnati

3. Fermi National Accelerator Laboratory

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.

Funder

Knut och Alice Wallenbergs Stiftelse

National Science Foundation

United States Department of Energy

Publisher

Stichting SciPost

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