Machine learning for surface prediction in ACTS

Autor: Huth Benjamin, Salzburger Andreas, Wettig Tilo
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: EPJ Web of Conferences, Vol 251, p 03053 (2021)
Druh dokumentu: article
ISSN: 2100-014X
DOI: 10.1051/epjconf/202125103053
Popis: 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.
Databáze: Directory of Open Access Journals