A simple merging algorithm for jet angular correlation studies

TL;DR

This paper introduces a straightforward merging algorithm that ensures leading order accuracy for jet angular correlations, improving efficiency and robustness in event generation for high-energy physics studies.

Contribution

The paper presents a new simple merging algorithm that guarantees LO accuracy of jet angular correlations and enhances event generation efficiency.

Findings

The algorithm accurately reproduces angular correlations in jet events.

It is validated against established merging algorithms showing comparable results.

Efficiently generates n-jet events based on LO n-parton cross sections.

Abstract

A tree level merging algorithm which guarantees the leading order (LO) accuracy of angular correlations between jets is proposed and studied. The algorithm is designed so that n-jet events are generated exclusively according to the LO n-parton production cross section and each of the n-jet is close to each of the n-parton in terms of the jet measure. As a result, the LO accuracy of angular correlations between the n-jet is robust. Furthermore, as long as the n-jet events are exclusively subjects to a study, only the LO n-parton production cross section is needed and hence event generation is efficient. Correlations in the azimuthal angle difference between the two highest transverse momentum jets with large rapidity separations in the top quark pair production are evaluated as examples. The algorithm is validated by discussing numerical differences between its predictions and the predictions of a well-established merging algorithm.