Abstract

Confining dark sectors at the GeV scale can lead to novel collider signatures including those termed emerging jets with large numbers of displaced vertices. The triggers at the LHC experiments were not designed with this type of new physics in mind, and triggering can be challenging, especially if the mediator is relatively light and/or has quantum numbers such that additional jets are not automatically produced in each event. We show that the efficiency and the total event rate at current triggers can be significantly improved by considering initial state radiation of the events, with the largest increase in rate coming from simulation of two additional jets. We also explore possible new triggers that employ hit counts in different tracker layers as input into a machine learning algorithm. We show that these new triggers can have reasonably low background rates, and that they are sensitive to a wide range of new physics parameters even when trained on a single model.

Highlights

  • INTRODUCTIONConfining hidden sectors with a confinement scale around the GeV scale have received significant attention for potential discovery at colliders [1,2,3,4,5,6,7,8] (for a recent review, see Chap. 7 of [9]), building on the seminal hidden valley work [10,11,12]

  • Confining hidden sectors with a confinement scale around the GeV scale have received significant attention for potential discovery at colliders [1,2,3,4,5,6,7,8], building on the seminal hidden valley work [10,11,12]

  • If the dark confining sector has a mediator to the standard model (SM) whose mass is much larger than the confining scale, the lifetime of the lightest dark hadrons that are not stable will be parametrically larger than their inverse mass

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Summary

INTRODUCTION

Confining hidden sectors with a confinement scale around the GeV scale have received significant attention for potential discovery at colliders [1,2,3,4,5,6,7,8] (for a recent review, see Chap. 7 of [9]), building on the seminal hidden valley work [10,11,12]. The triggers were designed to be extremely efficient on many types of events and new physics models, but they are not designed for more exotic scenarios such as emerging jets. Some work has been done to try to mine features in these black boxes [52] This is a significantly less important problem when considering triggers where the most important task is to get interesting events recorded quickly. This is similar to the strategy proposed in [56] for b tagging This technique can be effective in distinguishing emerging jets because the dark sector particles will not leave hits but their decay products will.

MODELS FOR EMERGING JETS
EVENT GENERATION
CURRENT TRIGGERS
Description of triggers
MET triggers
Lepton and photon triggers
Results with current triggers
MACHINE LEARNING TRIGGERS
Findings
SUMMARY AND CONCLUSIONS
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