Details
| Original language | English |
|---|---|
| Title of host publication | 2019 Conference on Lasers and Electro-Optics (CLEO) |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (electronic) | 978-1-943580-57-6 |
| ISBN (print) | 978-1-7281-3718-6 |
| Publication status | Published - 5 May 2019 |
| Event | 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, United States Duration: 5 May 2019 → 10 May 2019 |
Publication series
| Name | Quantum Electronics and Laser Science |
|---|---|
| ISSN (Print) | 2160-8989 |
| ISSN (electronic) | 2160-9004 |
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
- Chemistry(all)
- Spectroscopy
- Engineering(all)
- Industrial and Manufacturing Engineering
- Engineering(all)
- Safety, Risk, Reliability and Quality
- Environmental Science(all)
- Management, Monitoring, Policy and Law
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Medicine(all)
- Radiology Nuclear Medicine and imaging
- Physics and Astronomy(all)
- Instrumentation
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
Cite this
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2019 Conference on Lasers and Electro-Optics (CLEO). Institute of Electrical and Electronics Engineers Inc., 2019. 8749288 (Quantum Electronics and Laser Science).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Application of Artificial Neural Networks to Dispersion Scan Retrievals
AU - Kleinert, Sven
AU - Tajalli, Ayhan
AU - Nagy, Tamas
AU - Morgner, Uwe
N1 - Publisher Copyright: © 2019 The Author(s) 2019 OSA.
PY - 2019/5/5
Y1 - 2019/5/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85069229774&partnerID=8YFLogxK
U2 - 10.23919/CLEO.2019.8749288
DO - 10.23919/CLEO.2019.8749288
M3 - Conference contribution
AN - SCOPUS:85069229774
SN - 978-1-7281-3718-6
T3 - Quantum Electronics and Laser Science
BT - 2019 Conference on Lasers and Electro-Optics (CLEO)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Conference on Lasers and Electro-Optics, CLEO 2019
Y2 - 5 May 2019 through 10 May 2019
ER -