A Common Tracking Software Project

Xiaocong Ai,Corentin Allaire, Noemi Calace,Angéla Czirkos,Markus Elsing, Irina Ene, Ralf Farkas, Louis-Guillaume Gagnon,Rocky Garg, Paul Gessinger, Hadrien Grasland,Heather M. Gray,Christian Gumpert, Julia Hrdinka, Benjamin Huth,Moritz Kiehn, Fabian Klimpel, Bernadette Kolbinger,Attila Krasznahorkay, Robert Langenberg,Charles Leggett,Georgiana Mania,Edward Moyse,Joana Niermann, Joseph D. Osborn,David Rousseau,Andreas Salzburger, Bastian Schlag,Lauren Tompkins, Tomohiro Yamazaki,Beomki Yeo,Jin Zhang

arxiv(2022)

引用 13|浏览3
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摘要
The reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics experiments. While the tuning of track reconstruction algorithms can depend strongly on details of the detector geometry, the algorithms currently in use by experiments share many common features. At the same time, the intense environment of the High-Luminosity LHC accelerator and other future experiments is expected to put even greater computational stress on track reconstruction software, motivating the development of more performant algorithms. We present here A Common Tracking Software (ACTS) toolkit, which draws on the experience with track reconstruction algorithms in the ATLAS experiment and presents them in an experiment-independent and framework-independent toolkit. It provides a set of high-level track reconstruction tools which are agnostic to the details of the detection technologies and magnetic field configuration and tested for strict thread-safety to support multi-threaded event processing. We discuss the conceptual design and technical implementation of ACTS, selected applications and performance of ACTS, and the lessons learned.
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关键词
Track reconstruction, Software, Pattern recognition, Vertex reconstruction, Collider physics, Concurrent event reconstruction
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