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Towards better discrimination and improved modelling of dark-sector showers

by Andy Buckley, Deepak Kar, Sukanya Sinha

Submission summary

Authors (as Contributors): Andy Buckley · Deepak Kar · Sukanya Sinha
Submission information
Arxiv Link: https://arxiv.org/abs/2209.14964v2 (pdf)
Date submitted: 2022-10-04 09:42
Submitted by: Sinha, Sukanya
Submitted to: SciPost Physics Proceedings
Proceedings issue: 51st International Symposium on Multiparticle Dynamics (ISMD2022)
Ontological classification
Academic field: Physics
Specialties:
  • High-Energy Physics - Experiment
  • High-Energy Physics - Phenomenology
Approaches: Experimental, Phenomenological

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 to dark-matter at the LHC.

Current status:
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Submission & Refereeing History

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Submission 2209.14964v2 on 4 October 2022

Reports on this Submission

Anonymous Report 1 on 2023-1-17 (Contributed Report)

Report

This is a clear summary of work presented at ISMD 2022, and as such should be accepted. The research explores the area of dark sector showers and the use of different variables to set limits on models by studying semi-visible jets. The write-up concentrates on one particularly new aspect, the use of energy flow polynomials which appear to give promising improvements when correlated with more standard substructure variables.

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