Szołdra, Tomasz https://orcid.org/0000-0002-2897-0506
Ciappina, Marcelo F https://orcid.org/0000-0002-1123-6460
Werby, Nicholas https://orcid.org/0000-0002-1789-3170
Bucksbaum, Philip H https://orcid.org/0000-0003-1258-5571
Lewenstein, Maciej https://orcid.org/0000-0002-0210-7800
Zakrzewski, Jakub https://orcid.org/0000-0003-0998-9460
Maxwell, Andrew S https://orcid.org/0000-0002-6503-4661
Funding for this research was provided by:
European Research Council (AdG NOQIA)
Basic Energy Sciences (AMOS Program)
Ministerio de Ciencia e Innovación (CEX2019-000910- S/10.13039/501100011033)
H2020 Marie Skłodowska-Curie Actions (SSFI No. 887153)
Natural Science Foundation of Guangdong Province for Distinguished Young Scholars (No. 2023A1515010871)
Generalitat de Catalunya
Narodowe Centrum Nauki (2019/35/B/ST2/00034)
Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province (No. 2021B0301030005)
H2020 European Research Council (Grant Agreement 101080086)
Article Title: Femtosecond pulse parameter estimation from photoelectron momenta using machine learning
Journal Title: New Journal of Physics
Article Type: paper
Copyright Information: © 2023 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft
Publication dates
Date Received: 2023-05-02
Date Accepted: 2023-08-08
Online publication date: 2023-08-24