Event generator tunes obtained from underlying event and multiparton scattering measurements
CMS Collaboration

TL;DR
This paper develops new parameter sets for Monte Carlo event generators to improve modeling of underlying events in proton collisions, using combined data from CMS and CDF experiments across different energies.
Contribution
It introduces new tunes for PYTHIA8, PYTHIA6, and HERWIG++ based on combined fits to diverse experimental data, enhancing predictive accuracy for 13 TeV collisions.
Findings
Improved UE modeling predictions at 13 TeV
Parameter consistency between UE and double-parton scattering fits
Better agreement with minimum bias, multijet, and Drell-Yan data
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…
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