Improved jet clustering algorithm with vertex information for multi-bottom final states

TL;DR

This paper introduces a new jet clustering algorithm that incorporates vertex information to improve b-jet reconstruction in multi-jet events at the ILC, aiding precise Higgs measurements.

Contribution

The paper presents a novel jet clustering algorithm utilizing secondary vertex data, enhancing b-jet identification in complex multi-jet environments at collider experiments.

Findings

Improved b-jet reconstruction efficiency.

Enhanced sensitivity in Higgs self-coupling measurements.

Potential applications in various Higgs decay analyses.

Abstract

In collider physics at the TeV scale, there are many important processes which involve six or more jets. The sensitivity of the physics analysis depends critically on the performance of the jet clustering algorithm. We present a full detector simulation study for the ILC of our new algorithm which makes use of secondary vertices which improves the reconstruction of b jets. This algorithm will have many useful applications, such as in measurements involving a light Higgs which decays predominantly into two b quarks. We focus on the measurement of the Higgs self-coupling, which has so far proven to be challenging but is one of the most important measurements at the ILC.