Chinese Optics Letters, 2020, 18 (12): 121901, Published Online: Oct. 23, 2020
Neural-network-assisted femtosecond laser pulse duration measurement using two-photon absorption Download: 732次
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.
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.