Video-rate phase retrievals from dispersion scan traces using artificial neural networks

authored by

Sven Kleinert, Ayhan Tajalli, Tamas Nagy, Uwe Morgner

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].

Organisation(s)

Institute of Quantum Optics
PhoenixD: Photonics, Optics, and Engineering - Innovation Across Disciplines
Hannover Centre for Optical Technologies (HOT)

External Organisation(s)

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

Type

Conference contribution

Publication date

2019

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials, Mechanics of Materials

Electronic version(s)

https://doi.org/10.1109/CLEOE-EQEC.2019.8872570 (Access: Closed)