Machine learning for surface prediction in ACTS

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<!--HTML-->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 co...

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Detalles Bibliográficos
Autor principal: Huth, Benjamin
Lenguaje:eng
Publicado: 2021
Materias:
Conferences
Acceso en línea:http://cds.cern.ch/record/2767064
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author Huth, Benjamin
author_facet Huth, Benjamin
author_sort Huth, Benjamin
collection CERN
description <!--HTML-->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.
id cern-2767064
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
record_format invenio
spelling cern-27670642022-11-02T22:25:41Zhttp://cds.cern.ch/record/2767064engHuth, BenjaminMachine learning for surface prediction in ACTS25th International Conference on Computing in High Energy & Nuclear PhysicsConferences<!--HTML-->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.oai:cds.cern.ch:27670642021
spellingShingle Conferences
Huth, Benjamin
Machine learning for surface prediction in ACTS
title Machine learning for surface prediction in ACTS
title_full Machine learning for surface prediction in ACTS
title_fullStr Machine learning for surface prediction in ACTS
title_full_unstemmed Machine learning for surface prediction in ACTS
title_short Machine learning for surface prediction in ACTS
title_sort machine learning for surface prediction in acts
topic Conferences
url http://cds.cern.ch/record/2767064
work_keys_str_mv AT huthbenjamin machinelearningforsurfacepredictioninacts
AT huthbenjamin 25thinternationalconferenceoncomputinginhighenergynuclearphysics

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