Event generator tunes obtained from underlying event and multiparton scattering measurements
CMS Collaboration
TL;DR
The paper develops new CMS-era tunes for UE modeling across three event generators (PYTHIA8, PYTHIA6, HERWIG++) by fitting to CMS underlying-event data at 0.3, 0.9, 1.96, and 7 TeV, with Rivet/Professor and eigentunes to quantify uncertainties and extend predictions to 13 TeV. It also introduces DPS-focused tunes by directly fitting DPS-sensitive observables in W+dijet and four-jet final states, deriving sigma_eff for multiple MPI models and channels. The results show improved UE descriptions and robust 13 TeV predictions for UE observables, but highlight tensions between UE-based tuning and DPS observables, indicating current generators struggle to describe soft and hard MPI simultaneously. The work provides a practical framework for tuning and validating MC generators with energy-dependent MPI and diffraction components, and offers a set of tunes with uncertainty estimates to support LHC Run-2 analyses and future collider studies.
Abstract
New sets of parameters ("tunes") for the underlying-event (UE) modeling of the PYTHIA8, PYTHIA6 and HERWIG++ Monte Carlo event generators are constructed using different parton distribution functions. Combined fits to CMS UE proton-proton (pp) data at sqrt(s) = 7 TeV and to UE proton-antiproton (p p-bar) data from the CDF experiment at lower sqrt(s), are used to study the UE models and constrain their parameters, providing thereby improved predictions for proton-proton collisions at 13 TeV. In addition, it is investigated whether the values of the parameters obtained from fits to UE observables are consistent with the values determined from fitting observables sensitive to double-parton scattering processes. Finally, comparisons of the UE tunes to "minimum bias" (MB) events, multijet, and Drell-Yan (q q-bar to Z / gamma* to lepton-antilepton + jets) observables at 7 and 8 TeV are presented, as well as predictions for MB and UE observables at 13 TeV.
