Abstract
Conformal tracking is an innovative and comprehensive pattern recognition technique using a cellular automaton-based track finding performed in a conformally-mapped space. It is particularly well-suited for light-weight silicon systems with high position resolution, such as the next generation of tracking detectors designed for future electron–positron colliders. The algorithm has been developed and validated with simulated data of the CLICdet tracker. It has demonstrated not only excellent performance in terms of tracking efficiency, fake rate and track parameters resolution but also robustness against the high beam-induced background levels. Thanks to its geometry-agnostic nature and its modularity, the algorithm is very flexible and can easily be adapted to other detector designs and experimental environments at future e+e− colliders.
Highlights
Conformal tracking is a pattern recognition technique for track reconstruction that combines the two concepts of conformal mapping [1] and cellular automata [2, 3]
Conformal tracking has been developed as the baseline reconstruction strategy for the detector Compact Linear e+e− Collider (CLIC) detector (CLICdet) designed for CLIC, a proposed future electron–positron collider [5, 8, 9]
The small dip observed at 15◦ is caused by the slightly larger material budget traversed by particles in this direction
Summary
Conformal tracking is a pattern recognition technique for track reconstruction that combines the two concepts of conformal mapping [1] and cellular automata [2, 3]. This algorithm was developed to efficiently exploit the main features of the generation of tracking detectors, such as their low-mass all-silicon systems and their few-μm position accuracy [4]. Conformal tracking has been developed as the baseline reconstruction strategy for the detector CLICdet designed for CLIC, a proposed future electron–positron collider [5, 8, 9]. Conformal tracking algorithm can be divided into two main blocks: the conformal mapping method and the cellular automaton-based track finding
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