Revisiting Jet Clustering Algorithms for New Higgs Boson Searches in Hadronic Final States

TL;DR

This paper evaluates various jet-clustering algorithms and their parameters to optimize the detection and mass reconstruction of Higgs bosons decaying into bottom quark pairs in hadronic final states at the LHC.

Contribution

It provides a systematic assessment of jet-clustering algorithms and identifies optimal settings for detecting BSM Higgs signals in hadronic decay channels.

Findings

Jet algorithm choice significantly impacts Higgs mass reconstruction.

Optimal clustering parameters improve multi-jet event selection efficiency.

Recommendations for analysis cuts enhance BSM Higgs search sensitivity.

Abstract

We assess the performance of different jet-clustering algorithms, in the presence of different resolution parameters and reconstruction procedures, in resolving fully hadronic final states emerging from the chain decay of the discovered Higgs boson into pairs of new identical Higgs states, the latter in turn decaying into bottom-antibottom quark pairs. We show that, at the Large Hadron Collider (LHC), both the efficiency of selecting the multi-jet final state and the ability to reconstruct from it the masses of the Higgs bosons (potentially) present in an event sample depend strongly on the choice of acceptance cuts, jet-clustering algorithm as well as its settings. Hence, we indicate the optimal choice of the latter for the purpose of establishing such a benchmark Beyond the SM (BSM) signal.