# To catch a long-lived particle: hit selection towards a regional hardware track trigger implementation

## TL;DR

This paper explores hardware-level trigger strategies using tracker data to identify long-lived particles with displaced signatures, addressing current detection challenges at collider experiments.

## Contribution

It introduces two novel hardware-implementable methods, based on the Hough transform and pattern matching, for detecting displaced tracks indicative of long-lived particles.

## Key findings

- Proposed two hardware-level trigger methods for long-lived particle detection.
- Demonstrated potential for improved sensitivity to displaced signatures.
- Provided a framework for real-time long-lived particle identification.

## Abstract

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.