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  • Received: Jun. 8, 2020

    Accepted: Aug. 18, 2020

    Posted: Oct. 16, 2020

    Published Online: Oct. 23, 2020

    The Author Email: Junbao Chen (chenjb@nfpc.edu.cn)

    DOI: 10.3788/COL202018.121901

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    Junbao Chen, Ming Wang, Wei Xia. Neural-network-assisted femtosecond laser pulse duration measurement using two-photon absorption[J]. Chinese Optics Letters, 2020, 18(12): 121901

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Chinese Optics Letters, Vol. 18, Issue 12, 121901 (2020)

Neural-network-assisted femtosecond laser pulse duration measurement using two-photon absorption

Junbao Chen1,*, Ming Wang2, and Wei Xia2

Author Affiliations

  • 1Department of Information Technology, Nanjing Forest Police College, Nanjing 210023, China
  • 2School of Physics and Technology, Nanjing Normal University, Nanjing 210023, China

Abstract

In this work, a neural network (NN) method is developed for pulse duration inferring for an erbium-doped fiber laser at 1550 nm. Experimentally, the interferometric autocorrelation trace is observed clearly with the use of the two-photon absorption (TPA) effect in a GaAs photodiode. The intensity autocorrelation function is curve-fitted by the NN with an appropriate performance, and the measuring accuracy is consistent with a commercial autocorrelator. Compared with the Levenberg–Marquardt curve-fitting method, the NN can retrieve the intensity autocorrelation function more stably and has a certain noise reduction ability, simplifying the signal processing for a TPA photodiode-based autocorrelator.

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