We demonstrate a deep-learning neural network(DNN) method for the measurement of molecular alignment by using the molecular-alignment-based cross-correlation polarization-gating frequency resolved optical gating(M-XFR...We demonstrate a deep-learning neural network(DNN) method for the measurement of molecular alignment by using the molecular-alignment-based cross-correlation polarization-gating frequency resolved optical gating(M-XFROG) technique.Our network has the capacity for direct measurement of molecular alignment from the FROG traces. In a proof-of-principle experiment, we have demonstrated our method in O^(2) molecules. With our method, the molecular alignment factor<cos^(2)θ>(t) of O_(2), impulsively excited by a pump pulse, was directly reconstructed. The accuracy and validity of the reconstruction have been verified by comparison with the simulations based on experimental parameters.展开更多
基金supported by the National Key Research and Development Program of China(No.2019YFA0308300)the National Natural Science Foundation of China(Nos.91950202,12225406,12074136,and 12021004)the Natural Science Foundation of Hubei Province(No.2021CFB330).
文摘We demonstrate a deep-learning neural network(DNN) method for the measurement of molecular alignment by using the molecular-alignment-based cross-correlation polarization-gating frequency resolved optical gating(M-XFROG) technique.Our network has the capacity for direct measurement of molecular alignment from the FROG traces. In a proof-of-principle experiment, we have demonstrated our method in O^(2) molecules. With our method, the molecular alignment factor<cos^(2)θ>(t) of O_(2), impulsively excited by a pump pulse, was directly reconstructed. The accuracy and validity of the reconstruction have been verified by comparison with the simulations based on experimental parameters.
