Ptychographic Spectral Phase Retrieval by Deep Learning
2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
2021
- 1Citations
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Citation Indexes1
Conference Paper Description
Deep leaning is implemented to retrieve the spectral phase profiles of ultrashort pulses by using spectrally truncated spectrograms for the first time (to our best knowledge).
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85206862038&origin=inward; http://dx.doi.org/10.1364/cleo_at.2021.jw1a.86; https://opg.optica.org/abstract.cfm?URI=CLEO_AT-2021-JW1A.86; https://opg.optica.org/abstract.cfm?uri=CLEO_AT-2021-JW1A.86#videoPlayer; http://dx.doi.org/10.1364/cleo_at.2021.jw1a.86.v001
Optica Publishing Group
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