2015
DOI: 10.48550/arxiv.1512.00815
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Event generator tunes obtained from underlying event and multiparton scattering measurements

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Cited by 20 publications
(30 citation statements)
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“…8 predictions obtained with MCatNLO+PYTHIA8 are compared with MCatNLO+CAS3. In the calculation of MCatNLO+PYTHIA8, the PYTHIA8 subtraction terms are used and the NNPDF3.0 [68] parton density and tune CUETP8M1 [69] are applied. The uncertainties of the PYTHIA prediction are derived by combining the fixed-order scale variation from MCatNLO with renormalization scale variations in the parton shower.…”
Section: Azimuthal Correlations In Multijet Productionmentioning
confidence: 99%
“…8 predictions obtained with MCatNLO+PYTHIA8 are compared with MCatNLO+CAS3. In the calculation of MCatNLO+PYTHIA8, the PYTHIA8 subtraction terms are used and the NNPDF3.0 [68] parton density and tune CUETP8M1 [69] are applied. The uncertainties of the PYTHIA prediction are derived by combining the fixed-order scale variation from MCatNLO with renormalization scale variations in the parton shower.…”
Section: Azimuthal Correlations In Multijet Productionmentioning
confidence: 99%
“…The samples produced by MadGraph and POWHEG are generated with the NNPDF3.0 set of parton distribution functions, while the samples produced by PYTHIA use the NNPDF2.3LO set [69,70,71]. Parton shower and hadronization processes are modelled using the generator PYTHIA with the tune CUETP8M1 [72]. The latter is based on the Monash tune [73].…”
Section: Performancementioning
confidence: 99%
“…The EPOS MC generator, specialised for simulation of inclusive soft QCD processes, displays particularly discrepant features as the p lead T scale increases, casting doubt on its suitability for modelling LHC multiple pp interactions despite currently providing the best description of minimum-bias data. Further information about MC generator tunes can be found in [9]. ALICE Collaboration presented the first observation of strangeness enhancement in high-multiplicity pp collisions [10].…”
Section: Underlying Event Spectra In Pp Collisionsmentioning
confidence: 99%