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Recovery of ultrashort optical pulses from 2D SHG-FROG traces based on modified Resnet-50 model

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Abstract

In this paper, we modify Resnet-50 deep-learning network to recover ultrashort optical pulses from their 2D SHG-FROG traces. Different from those reported methods, our model doesn’t need information of the true pulse, but evaluate accuracy of the recovered pulse by regenerating the 2D SHG-FROG trace and measuring its difference from the original FROG trace. The effectiveness of the proposed method is verified by recovering several types of pulses. Results demonstrate that the minimum of correlation coefficients between the regenerated and the original FROG traces can exceed 0.9503 even for the complex pulse with fluctuations.

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Data availability

Data underlying the results presented at this paper are not publicly available at this time, but may be obtained from the corresponding author upon reasonable request.

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Funding

Project is supported by the Bei**g Natural Science Foundation (No. 4192022).

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Authors and Affiliations

  1. College of Information Engineering, North China University of Technology, Bei**g, 100144, China

    **aowei Dong & Zhihui Yu

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  1. **aowei Dong
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  2. Zhihui Yu
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Correspondence to **aowei Dong.

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Dong, X., Yu, Z. Recovery of ultrashort optical pulses from 2D SHG-FROG traces based on modified Resnet-50 model. J Opt (2024). https://doi.org/10.1007/s12596-024-01946-3

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