# New developments in conformal tracking for the CLIC detector

## TL;DR

This paper presents conformal tracking, a novel pattern recognition method using cellular automaton algorithms for the CLIC detector, demonstrating high efficiency and adaptability in simulated challenging background conditions.

## Contribution

It introduces a new conformal tracking algorithm for CLIC, validated through full-simulation studies, showing robustness and flexibility across different detector designs.

## Key findings

- Achieves high tracking efficiency in simulated conditions
- Robust against beam-induced background noise
- Flexible and adaptable to various detector geometries

## Abstract

Conformal tracking is an innovative track finding strategy adopted for the detector at the Compact Linear Collider (CLIC), a proposed future electron-positron collider. It features a pattern recognition in a conformal-mapped plane using the cellular automaton algorithm to reconstruct the trajectory of charged particles in a magnetic field. The efficiency and robustness of the algorithm are validated using full-simulation studies in the challenging beam-induced background conditions expected for the 3 TeV stage of the CLIC collider. The tracking performance requirements, set by the ambitious CLIC physics programme, have been shown to be met. Moreover, thanks to its flexibility and geometry-agnostic nature, this algorithm was also shown to be easily adaptable to different detector designs and beam conditions.