Temporal Reconstruction of Femtosecond Pulses Based on Multi-Output Residual Neural Network

Weizhi Lü; Yunfeng Ma; Peng Zhao; Zhe Wang; Wang Cheng; Guangyan Guo; Xuebo Yang; Chenxuan Yin; Yongjian Zhu; Fang Bai; Zhixi Zhang; Yong Bai

doi:10.3788/LOP240653

Laser & Optoelectronics Progress, Volume. 61, Issue 21, 2132001(2024)

Temporal Reconstruction of Femtosecond Pulses Based on Multi-Output Residual Neural Network

Weizhi Lü^1,2, Yunfeng Ma^1,2、*, Peng Zhao¹, Zhe Wang¹, Wang Cheng¹, Guangyan Guo¹, Xuebo Yang¹, Chenxuan Yin^1,2, Yongjian Zhu^1,2, Fang Bai¹, Zhixi Zhang¹, and Yong Bai¹

Author Affiliations

¹Optical Engineering Research Department, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

²School of Optoelectronics, University of Chinese Academy of Sciences, Beijing 100094, China

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References(27)

[1] Mao A J, Liu C P. Principle and realization of super-resolution reconstruction of femtosecond ultrashort pulses[J]. Chinese Journal of Lasers, 47, 0601006(2020).

[2] Jafari R, Jones T, Trebino R. 100% reliable algorithm for second-harmonic-generation frequency-resolved optical gating[J]. Optics Express, 27, 2112-2124(2019).

[3] Kane D J. Principal component generalized projections FROG algorithm[M]. Frequency-resolved optical gating: the measurement of ultrashort laser pulses, 357-366(2000).

[4] Jafari R, Trebino R. High-speed “multi-grid” pulse-retrieval algorithm for frequency-resolved optical gating[J]. Optics Express, 26, 2643-2649(2018).

[5] Sidorenko P, Lahav O, Avnat Z et al. Ptychographic reconstruction algorithm for frequency-resolved optical gating: super-resolution and supreme robustness[J]. Optica, 3, 1320-1330(2016).

[6] Berthelot D, Carlini N, Goodfellow I et al. MixMatch: a holistic approach to semi-supervised learning[EB/OL]. https://arxiv.org/abs/1905.02249

[7] Gu J X, Wang Z H, Kuen J et al. Recent advances in convolutional neural networks[J]. Pattern Recognition, 77, 354-377(2018).

[8] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

[9] Creswell A, White T, Dumoulin V et al. Generative adversarial networks: an overview[J]. IEEE Signal Processing Magazine, 35, 53-65(2018).

[10] Zahavy T, Dikopoltsev A, Moss D et al. Deep learning reconstruction of ultrashort pulses[J]. Optica, 5, 666-673(2018).

[11] White J, Chang Z H. Attosecond streaking phase retrieval with neural network[J]. Optics Express, 27, 4799-4807(2019).

[12] Xu S Y, Zhu X X, Wang J et al. Convolutional neural network for transient grating frequency-resolved optical gating trace retrieval and its algorithm optimization[J]. Chinese Physics B, 30, 048402(2021).

[13] Zhou D X. Theory of deep convolutional neural networks: downsampling[J]. Neural Networks, 124, 319-327(2020).

[14] Li C J, Yao J, Gao Y F et al. Extending field-of-view of two-photon microscopy using deep learning[J]. Chinese Journal of Lasers, 50, 0907107(2023).

[15] Wei D M, Du Q, Liu F N et al. Fractional vortex beam modes recognition based on I-ResNet network[J]. Acta Optica Sinica, 43, 2326001(2023).

[16] Cheng R J, Yang Y, Li L W et al. Lightweight residual network based on depthwise separable convolution for hyperspectral image classification[J]. Acta Optica Sinica, 43, 1228010(2023).

[17] Li X H, Wang X, Wang C H et al. De-scattering algorithm for underwater mueller matrix images based on residual UNet[J]. Acta Optica Sinica, 42, 2410001(2022).

[18] Kokh S. Pulse characterization by frequency-resolved optical gating for velocity map imaging of Xenon[D](2022).

[19] Kane D J. Improved principal components generalized projections algorithm for frequency resolved optical gating[C](2017).

[20] Borawar L, Kaur R. ResNet: solving vanishing gradient in deep networks[M]. Proceedings of international conference on recent trends in computing, 600, 235-247(2023).

[21] Trebino R, Jafari R, Akturk S A et al. Highly reliable measurement of ultrashort laser pulses[J]. Journal of Applied Physics, 128, 171103(2020).

[22] Ruby A U, Theerthagiri P, Jacob I J et al. Binary cross entropy with deep learning technique for image classification[J]. International Journal of Advanced Trends in Computer Science and Engineering, 9, 5393-5397(2020).

[23] Pappas C, Kovaios S, Moralis-Pegios M et al. Programmable tanh-, ELU-, Sigmoid-, and Sin-based nonlinear activation functions for neuromorphic photonics[J]. IEEE Journal of Selected Topics in Quantum Electronics, 29, 6101210(2023).

[24] Cleveland W S, Grosse E, Shyu W M. Local regression models[M]. Statistical models in S, 309-376(2017).

[25] Gallagher N B. Savitzky-golay smoothing and differentiation filter[EB/OL]. https://eigenvector.com/wp-content/uploads/2020/01/SavitzkyGolay.pdf

[26] Wang T. Ultrashort pulse measurement based on convolutional neural network[D](2022).

[27] Sun S A, Zhang L Y, Qu Y Q et al. Noise-removing technology of frequency-resolved optical gating traces[J]. Laser & Optoelectronics Progress, 54, 093201(2017).

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Weizhi Lü, Yunfeng Ma, Peng Zhao, Zhe Wang, Wang Cheng, Guangyan Guo, Xuebo Yang, Chenxuan Yin, Yongjian Zhu, Fang Bai, Zhixi Zhang, Yong Bai. Temporal Reconstruction of Femtosecond Pulses Based on Multi-Output Residual Neural Network[J]. Laser & Optoelectronics Progress, 2024, 61(21): 2132001

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