EPJ Web of Conferences (Jan 2021)

Machine learning for surface prediction in ACTS

  • Huth Benjamin,
  • Salzburger Andreas,
  • Wettig Tilo

DOI
https://doi.org/10.1051/epjconf/202125103053
Journal volume & issue
Vol. 251
p. 03053

Abstract

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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.