Plots from Rivet analyses

kkmc-leptons

Filter plots:
📊 kkmc-leptons/KarLud,:
📊 kkmc-leptons/NGamma:
📊 kkmc-leptons/Photon-Energy:
📊 kkmc-leptons/Photon_pT:
📊 kkmc-leptons/cosScatter:
📊 kkmc-leptons/coslep:
📊 kkmc-leptons/coslepbar:
📊 kkmc-leptons/lep-E:
📊 kkmc-leptons/lep-pT:
📊 kkmc-leptons/lep-px:
📊 kkmc-leptons/lep-py:
📊 kkmc-leptons/lep-pz:
📊 kkmc-leptons/lepbar-E:
📊 kkmc-leptons/lepbar-pT:
📊 kkmc-leptons/lepbar-px:
📊 kkmc-leptons/lepbar-py:
📊 kkmc-leptons/lepbar-pz:
📊 kkmc-leptons/pT:
📊 kkmc-leptons/svar:
📊 kkmc-leptons/v:
📊 kkmc-leptons/xs:

MC analysis for process total cross section (MC_XS)

Analysis reference

Analysis for bookkeeping of the total cross section, number of generated events and the ratio of events with positive and negative weights. This analysis will not produce sensible distributions in case of correlated NLO sub-events.

Filter plots:
📊 MC_XS/N:
📊 MC_XS/XS:
📊 MC_XS/pmN:
📊 MC_XS/pmXS: