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Application of Artificial Neural Networks to Dispersion Scan Retrievals

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandBeitrag in Buch/SammelwerkForschungPeer-Review

Autoren

Externe Organisationen

  • Max-Born-Institut für Nichtlineare Optik und Kurzzeitspektroskopie (MBI)
  • Laser Zentrum Hannover e.V. (LZH)

Details

OriginalspracheEnglisch
Titel des SammelwerksCLEO
UntertitelScience and Innovations, CLEO_SI 2019
Seitenumfang2
PublikationsstatusVeröffentlicht - 2019
Veranstaltung2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, USA / Vereinigte Staaten
Dauer: 5 Mai 201910 Mai 2019

Abstract

We present the phase reconstruction of ultrashort pulses from dispersion scan traces using a deep neural network. Compared to conventional algorithms, this reconstruction is more than 3000 times faster, enabling video-rate reconstructions.

ASJC Scopus Sachgebiete

Zitieren

Application of Artificial Neural Networks to Dispersion Scan Retrievals. / Kleinert, Sven; Tajalli, Ayhan; Nagy, Tamas et al.
CLEO: Science and Innovations, CLEO_SI 2019. 2019.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandBeitrag in Buch/SammelwerkForschungPeer-Review

Kleinert, S, Tajalli, A, Nagy, T & Morgner, U 2019, Application of Artificial Neural Networks to Dispersion Scan Retrievals. in CLEO: Science and Innovations, CLEO_SI 2019. 2019 Conference on Lasers and Electro-Optics, CLEO 2019, San Jose, USA / Vereinigte Staaten, 5 Mai 2019. https://doi.org/10.1364/cleo_si.2019.sw3e.1
Kleinert S, Tajalli A, Nagy T, Morgner U. Application of Artificial Neural Networks to Dispersion Scan Retrievals. in CLEO: Science and Innovations, CLEO_SI 2019. 2019 doi: 10.1364/cleo_si.2019.sw3e.1
Kleinert, Sven ; Tajalli, Ayhan ; Nagy, Tamas et al. / Application of Artificial Neural Networks to Dispersion Scan Retrievals. CLEO: Science and Innovations, CLEO_SI 2019. 2019.
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