Measurement of PYTHIA8-Based Effective Cross-Section Using Underlying Event Data

Effective cross-section defines the matter overlap in a two-particle collision and is considered an important tool for studying proton-proton collisions at high energies. In a conventional approach, the value of effective cross-section is estimated by fitting the observables sensitive to double parton scattering. This work predicts the value of effective cross-section using the PYTHIA8 Monte Carlo event generator by optimizing (tuning) model parameters, using the PROFESSOR package, to the existing underlying event data from various experiments. The predicted value of effective cross-section is compared to already measured values.