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Machine learning for surface prediction in ACTS

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...

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Detalles Bibliográficos
Autores principales: Huth, Benjamin, Salzburger, Andreas, Wettig, Tilo
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202125103053
http://cds.cern.ch/record/2778220

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