Multi-Jet Production in Deep Inelastic Scattering with Pythia

TL;DR

This paper develops a multi-jet merging method for deep inelastic scattering within the Pythia 8 event generator, improving the simulation accuracy of jet production by combining different parton multiplicity samples.

Contribution

It introduces a novel multi-jet merging technique for deep inelastic scattering in Pythia 8, enhancing the modeling of jet events and comparing favorably with experimental data.

Findings

Multi-jet merging improves data description, especially for low virtuality events.

Jet cross-sections converge when partonic multiplicity exceeds reconstructed jets.

The method effectively combines different parton multiplicities for better simulation accuracy.

Abstract

We introduce multi-jet merging for deep inelastic scattering in the Vincia parton shower in the Monte Carlo event generator Pythia 8. Merging combines event samples of different parton multiplicities with logarithmically enhanced parton-shower radiation. We consider up to five outgoing partons using two different merging algorithms. We vary the relevant scale choices and compare to experimental data by H1 collaboration at the HERA collider. Results show that multi-jet merging improves description to data, especially for low virtuality events, and that jet cross-sections converge when the partonic multiplicity exceeds the number of reconstructed jets.