Measurement of Dijet Electroproduction at Small Jet Separation

TL;DR

This study determines the minimal jet separation needed for accurate dijet production modeling in deep-inelastic scattering, enabling a larger fraction of data to be classified as dijet and confirming the effectiveness of NLO QCD calculations and Monte Carlo models.

Contribution

It identifies a small jet separation threshold that allows more accurate classification of dijet events in DIS and validates the use of NLO QCD and Monte Carlo models for precise measurements.

Findings

Approximately one-third of DIS data can be classified as dijet with the new jet separation criteria.

NLO perturbative QCD calculations accurately describe the measured dijet rates.

Monte Carlo model RAPGAP successfully reproduces the data using matrix elements and parton showers.

Abstract

Deep-inelastic scattering data in the range 150 < Q^2 < 35000 GeV^2 are used to investigate the minimum jet separation necessary to allow accurate description of the rate of dijet production using next-to-leading order perturbative QCD calculations. The required jet separation is found to be small, allowing about 1/3 of DIS data to be classified as dijet, as opposed to approximately 1/10 with more typical jet analyses. A number of precision measurements made using this dijet sample are well described by the calculations. The data are also described by the combination of leading order matrix elements and parton showers, as implemented in the QCD based Monte Carlo model RAPGAP.