| Issue |
EPJ Web Conf.
Volume 287, 2023
EOS Annual Meeting (EOSAM 2023)
|
|
|---|---|---|
| Article Number | 08001 | |
| Number of page(s) | 2 | |
| Section | Topical Meeting (TOM) 8- Ultrafast Optics | |
| DOI | https://doi.org/10.1051/epjconf/202328708001 | |
| Published online | 18 October 2023 | |
https://doi.org/10.1051/epjconf/202328708001
Eliminating local convergences in FROG retrieval algorithms
KTH Royal Institute of Technology, Department of Applied Physics, Roslagstullsbacken 21, 106 91 Stockholm, Sweden
* Corresponding author: kroo@kth.se
Published online: 18 October 2023
The complicated electric field structure of ultrashort pulses as characterized by frequency-resolved optical gating (FROG) algorithms often results in local convergence, which does not accurately represent the actual field pulse. We present an efficient and universal test procedure applicable to any FROG retrieval algorithm that allows recognition of the erroneous local convergence. The 100% efficacy of the procedure is demonstrated using Line-Search FROG algorithm, and comparison is given with the performance of a standard extended ptychographic iterative FROG trace retrieval engine.
© The Authors, published by EDP Sciences, 2023
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