The Next Round of Hadronic Generator Tuning Heavily Based on Identified Particle Data

TL;DR

This paper presents a refined tuning of hadronic event generators using detailed identified particle data from LEP, improving the models' accuracy in describing Z boson decay final states.

Contribution

It introduces a new tuning approach for Monte Carlo hadronization models based on comprehensive identified particle distributions from LEP data.

Findings

Enhanced agreement between models and data for identified particle distributions

Improved parameter settings for JETSET, ARIADNE, and HERWIG models

Critical assessment of model performance with respect to identified particles

Abstract

Event shape and charged particle inclusive distributions determined from 750 000 hadronic Z events measured with the DELPHI detector at LEP are presented. The statistical and systematic precision of this data allows for a decisive confrontation with Monte Carlo models of the hadronization process and a better understanding of the structure of the Z hadronic final state. Improved tunings of the JETSET, ARIADNE and HERWIG parton shower models and the JETSET matrix element model are obtained by fitting the models to identified particle distributions from all LEP experiments and the DELPHI data presented. The description of the data distributions by the models is critically reviewed with special importance attributed to identified particles.