Status: Bibliographieeintrag
Standort: ---
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| Online-Ressource |
Verfasst von: | Kolesnichenko, Pavel V. [VerfasserIn]  |
| Zigmantas, Donatas [VerfasserIn]  |
Titel: | Neural-network-powered pulse reconstruction from one-dimensional interferometric correlation traces |
Verf.angabe: | Pavel V. Kolesnichenko, Donatas Zigmantas |
E-Jahr: | 2023 |
Jahr: | March 24, 2023 |
Umfang: | 14 S. |
Fussnoten: | Gesehen am 16.05.2023 |
Titel Quelle: | Enthalten in: Optics express |
Ort Quelle: | Washington, DC : Optica, 1997 |
Jahr Quelle: | 2023 |
Band/Heft Quelle: | 31(2023), 7 vom: März, Seite 11806-11819 |
ISSN Quelle: | 1094-4087 |
Abstract: | Any ultrafast optical spectroscopy experiment is usually accompanied by the necessary routine of ultrashort-pulse characterization. The majority of pulse characterization approaches solve either a one-dimensional (e.g., via interferometry) or a two-dimensional (e.g., via frequency-resolved measurements) problem. Solution of the two-dimensional pulse-retrieval problem is generally more consistent due to the problem’s over-determined nature. In contrast, the one-dimensional pulse-retrieval problem, unless constraints are added, is impossible to solve unambiguously as ultimately imposed by the fundamental theorem of algebra. In cases where additional constraints are involved, the one-dimensional problem may be possible to solve, however, existing iterative algorithms lack generality, and often stagnate for complicated pulse shapes. Here we use a deep neural network to unambiguously solve a constrained one-dimensional pulse-retrieval problem and show the potential of fast, reliable and complete pulse characterization using interferometric correlation time traces determined by the pulses with partial spectral overlap. |
DOI: | doi:10.1364/OE.479638 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1364/OE.479638 |
| Volltext: https://opg.optica.org/oe/abstract.cfm?uri=oe-31-7-11806 |
| DOI: https://doi.org/10.1364/OE.479638 |
Datenträger: | Online-Ressource |
Sprache: | eng |
K10plus-PPN: | 184552800X |
Verknüpfungen: | → Zeitschrift |
Neural-network-powered pulse reconstruction from one-dimensional interferometric correlation traces / Kolesnichenko, Pavel V. [VerfasserIn]; March 24, 2023 (Online-Ressource)
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