Knipfer, Marco http://orcid.org/0000-0001-5103-089X
Meier, Stefan http://orcid.org/0000-0002-9888-2042
Volk, Tobias http://orcid.org/0009-0007-5847-2683
Heimerl, Jonas http://orcid.org/0000-0002-7931-8454
Hommelhoff, Peter http://orcid.org/0000-0003-4757-5410
Gleyzer, Sergei http://orcid.org/0000-0002-6222-8102
Funding for this research was provided by:
Deutsche Forschungsgemeinschaft (Sonderforschungsbereich 953 / 182849149)
H2020 European Research Council (Advanced Grant AccelOnChip)
U.S. Department of Energy (DE-SC0012447)
Max Planck School of Photonics
Article Title: Deep learning-based spatiotemporal multi-event reconstruction for delay line detectors
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2024 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2023-06-16
Date Accepted: 2024-04-10
Online publication date: 2024-04-23