Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference
  • OSA Technical Digest (Optica Publishing Group, 2019),
  • paper cf_6_3

Video-Rate Phase Retrievals From Dispersion Scan Traces Using Artificial Neural Networks

Not Accessible

Your library or personal account may give you access

Abstract

The full characterization of ultrashort pulses is crucial for all their applications. Lately, the dispersion scan (d-scan) technique has been developed, which stands out by its simplicity [1, 2]. Therefore, it is a promising candidate for a low-maintenance pulse characterization technique. The reconstruction of the spectral phase from a d-scan measurement relies on optimization algorithms [3, 4]. Considering the fact that the spectral phase of the pulses is directly imprinted on the d-scan trace, the phase reconstruction can also be regarded as an image recognition task. During the last few years, artificial neural networks have shown excellent performance in different fileds, e.g. image recognition [5].

© 2019 IEEE

PDF Article
More Like This
Application of Artificial Neural Networks to Dispersion Scan Retrievals

Sven Kleinert, Ayhan Tajalli, Tamas Nagy, and Uwe Morgner
SW3E.1 CLEO: Science and Innovations (CLEO:S&I) 2019

Improved phase retrieval for dispersion scan

Esmerando Escoto, Ayhan Tajalli, Janne Hyyti, Tamas Nagy, and Günter Steinmeyer
CD_15_5 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2017

Attosecond X-ray Phase Retrieval by Deep Neural Network

Jonathon White and Zenghu Chang
JW4A.39 Frontiers in Optics (FiO) 2019

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved