*Reweighting Monte Carlo Predictions and Automated Fragmentation Variations in Pythia 8
The paper introduces a Monte Carlo-veto algorithm for efficient uncertainty estimation in collider-event simulations, applicable to the Lund string-fragmentation model. This approach enables analysis of different input parameters using a single simulated event set, streamlining uncertainty assessments in physics measurements.
Mar 1, 2023
*Modeling hadronization using machine learning
In this paper we present ....
Mar 1, 2023