  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.
