Tuning Geneva+Pythia 8 Using Professor 2

Abstract

We study the tuning of the Geneva Monte Carlo framework to LHC data. Geneva improves the predictions for Drell-Yan production by including NNLO QCD corrections and extending the resummation accuracy to NNLL$'$ for 0-jettiness and NLL for 1-jettiness. The partonic results provided by Geneva are interfaced to Pythia 8 for showering including its multiple parton interaction (MPI) model. This allows us to obtain sensible predictions for Underlying Event (UE) sensitive observables too. Retuning Geneva + Pythia 8 to LHC data with the Professor 2 package shows an improved agreement for both UE sensitive and more inclusive observables