Application of Artificial Neural Networks to Dispersion Scan Retrievals

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

Authors

External Research Organisations

  • Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy im Forschungsbund Berlin e.V. (MBI)
  • Laser Zentrum Hannover e.V. (LZH)
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Details

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationScience and Innovations, CLEO_SI 2019
Number of pages2
Publication statusPublished - 2019
Event2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, United States
Duration: 5 May 201910 May 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 subject areas

Cite this

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.

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer 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, United States, 5 May 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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