On the Modelling of Energetic Multi-jet QCD Events

TL;DR

This paper compares different MC event generators for energetic multi-jet QCD events and proposes a data-driven method to improve modeling accuracy for potential BSM searches at the LHC.

Contribution

It introduces a data-driven technique for estimating multi-jet processes, achieving up to 25% precision, addressing limitations in current MC modeling.

Findings

Slight differences observed among state-of-the-art MC generators.

Proposed method predicts jet multiplicities with ~25% accuracy.

Modeling limitations identified in current simulations.

Abstract

Physics beyond the Standard Model (BSM) may be unveiled by studying events with a high number of outgoing jets, produced at the LHC with energies above the TeV scale (energetic multi-jet events). Such events are dominated by QCD processes, where the calculations rely on some sort of approximation. Therefore, it is important to develop a robust approach for modeling such events that could probe the existence of BSM signals. In this note, jet spatial distributions in energetic multi-jet processes were compared using several state-of-the-art MC event generators. Slight differences were found, indicating modelling limitations. Therefore, a data-driven technique for the estimation of processes with a final state that contains a large number of jets is proposed. This procedure can predict jet multiplicities up to a precision of ~25\% in energetic multi-jet events.