Measurement of molecular alignment with deep learning-based M-XFROG technique [Invited]

【摘要】 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 O₂ molecules. With our method, the molecular alignment factor<cos²θ>（t） of O₂, 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.更多还原

【Abstract】 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 O₂ molecules. With our method, the molecular alignment factor<cos²θ>（t） of O₂, 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.更多还原