Towards better discrimination and improved modelling of dark-sector showers
Andy Buckley, Deepak Kar, Sukanya Sinha

TL;DR
This paper explores advanced jet substructure techniques to differentiate dark-sector jets from QCD jets at the LHC, aiming to improve detection of elusive dark matter signatures.
Contribution
It introduces a novel approach using IRC-safe linear basis observables to distinguish dark-sector jets from QCD jets in collider data.
Findings
Jet substructure methods can effectively differentiate dark-sector from QCD jets.
IRC-safe observables provide a robust basis for jet classification.
The approach enhances the potential to identify dark matter signals at the LHC.
Abstract
As no evidence for classic WIMP-based signatures of dark matter have been found at the LHC, several phenomenological studies have raised the possibility of accessing a strongly-interacting dark sector through new collider-event topologies. If dark mesons exist, their evolution and hadronization procedure are currently little constrained. They could decay promptly and result in QCD-like jet structures, even though the original decaying particles are dark sector ones; they could behave as semi-visible jets; or they could behave as completely detector-stable hadrons, in which case the final state is just the missing transverse momentum. In this contribution we will introduce a study performed to explore use of jet substructure methods to distinguish dark-sector from QCD jets in the first two scenarios, using observables in a IRC-safe linear basis, and discuss ways forward for this approach…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Dark Matter and Cosmic Phenomena · Particle Detector Development and Performance
