Machine learning for surface prediction in ACTS

19 May 2021, 11:03
13m
Short Talk Offline Computing Artificial Intelligence

Speaker

Mr Benjamin Huth (Universität Regensburg)

Description

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.

Primary authors

Mr Benjamin Huth (Universität Regensburg) Andreas Salzburger (CERN) Prof. Tilo Wettig (Universität Regensburg)

Presentation materials

Proceedings

Paper