Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019 |
| ISBN (elektronisch) | 978-1-7281-0469-0 |
| Publikationsstatus | Veröffentlicht - 2019 |
| Veranstaltung | The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019 - Munich, Deutschland Dauer: 23 Juni 2019 → 27 Juni 2019 |
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].
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Ingenieurwesen (insg.)
- Werkstoffmechanik
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The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019. 2019. 2019-cf_6_3.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Video-rate phase retrievals from dispersion scan traces using artificial neural networks
AU - Kleinert, Sven
AU - Tajalli, Ayhan
AU - Nagy, Tamas
AU - Morgner, Uwe
PY - 2019
Y1 - 2019
N2 - 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].
AB - 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].
UR - http://www.scopus.com/inward/record.url?scp=85084552809&partnerID=8YFLogxK
U2 - 10.1109/CLEOE-EQEC.2019.8872570
DO - 10.1109/CLEOE-EQEC.2019.8872570
M3 - Conference contribution
AN - SCOPUS:85074667582
SN - 978-1-7281-0470-6
BT - The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019
T2 - The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019
Y2 - 23 June 2019 through 27 June 2019
ER -