  Conventional searches for new phenomena at collider experiments tend to focus
on prompt particles, produced at the interaction point and decaying rapidly.
New physics models including long-lived particles that travel a substantial
distance in the detectors before decaying provide an interesting alternative,
especially in light of the lack of new phenomena at the current LHC
experiments, and could solve unanswered questions of the Standard Model.
Long-lived particles have characteristic experimental signatures that, while
making them clearly distinct from other processes, also could make them
potentially invisible to current data-acquisition methods. Specific trigger
strategies need to be in place to target long-lived particles. In this paper,
we investigate the use of tracker information at trigger level to identify
displaced signatures. We propose two methods that can be implemented at
hardware-level: one based on the Hough transform, and another based on pattern
matching with patterns trained on displaced tracks.
