Abstract

Semi-visible jets arise in strongly interacting dark sectors, where parton evolution includes dark sector emissions, resulting in jets overlapping with missing transverse momentum. The implementation of semi-visible jets is done using the Pythia Hidden valley module to duplicate the QCD sector showering. In this work, several jet substructure observables have been examined to compare semi-visible jets (signal) and light quark/gluon jets (background). These comparisons were performed using different dark hadron fractions in the semi-visible jets. The extreme scenarios where signal consists either of entirely dark hadrons or visible hadrons offers a chance to understand the effect of the specific dark shower model employed in these comparisons. We attempt to decouple the behaviour of jet-substructure observables due to inherent semi-visible jet properties, from model dependence owing to the existence of only one dark shower model as mentioned above.

Highlights

  • Searches for dark matter (DM) particles in colliders have remained unsuccessful so far [1]

  • In recent years, some focus has shifted to unusual final states, which are not covered by typical searches at the Large Hadron Collider (LHC)

  • One such final state is termed as semi-visible jets, where parton evolution includes dark sector emissions, resulting in jets interspersed with DM particles [2, 3]

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Summary

Introduction

Searches for dark matter (DM) particles in colliders have remained unsuccessful so far [1]. In recent years, some focus has shifted to unusual final states, which are not covered by typical searches at the Large Hadron Collider (LHC). One such final state is termed as semi-visible jets (svj), where parton evolution includes dark sector emissions, resulting in jets interspersed with DM particles [2, 3]. Comparisons between semi-visible jets and ordinary jets are presented in Sec. 3, based on their substructure. The Rivet [4] analysis toolkit was used, with the Fastjet package [5] for jet clustering

Semi-visible jets
Analysis strategy
JSS observables
Results
Model dependence
Origin of the differences
How does grooming affect jet substructure in svj?
Conclusions
Full Text
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