TL;DR
This paper introduces seven new tunes for the Pythia 6.4 event generator's shower and underlying-event model, improving accuracy for collider simulations and providing predictions for LHC minimum-bias events.
Contribution
The paper presents the Perugia tunes, updating previous models with new parameters and systematic variations for better collider event simulation accuracy.
Findings
Updated tunes improve collider event modeling.
Systematic variations explore different physical scenarios.
Predicted charged track multiplicity at LHC.
Abstract
We present 7 new tunes of the pT-ordered shower and underlying-event model in Pythia 6.4. These "Perugia" tunes update and supersede the older "S0" family. The new tunes include the updated LEP fragmentation and flavour parameters reported on by H. Hoeth at this workshop. The hadron-collider specific parameters were then retuned (manually) using Tevatron min-bias data from 630, 1800, and 1960 GeV, Tevatron Drell-Yan data at 1800 and 1960 GeV, as well as SPS min-bias data at 200, 540, and 900 GeV. In addition to the central parameter set, related tunes exploring systematically soft, hard, parton density, and color structure variations are included. Based on these variations, a best-guess prediction of the charged track multiplicity in inelastic, nondiffractive minimum-bias events at the LHC is made.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Superconducting Materials and Applications