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arXiv · 2108.03068

Machine learning for surface prediction in ACTS

Benjamin Huth·Andreas Salzburger·Tilo Wettig
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Abstract

We present an ongoing R&D activity for machine-learning-assisted navigation through detectors to be used for track reconstruction. We investigate different approaches of training neural networks for surface prediction and compare their results. This work is carried out in the context of the ACTS tracking toolkit.

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Benjamin Huth, Andreas Salzburger, Tilo Wettig. 2021-08-06. Machine learning for surface prediction in ACTS. https://doi.org/10.1051/epjconf/202125103053

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