自参考光谱干涉方法用于超短激光脉冲表征OA

This article provides an overview of the implementation of self-reference spectral interferometry(SRSI)from two main aspects:the optical path and the reconstruction algorithm.At the optical path level,from the earliest proposed SRSI based on cross-polarization wave generation(XPW-SRSI)to the SRSI based on transient grating effect(TG-SRSI)with a compact total reflection configuration,the sensitivity,wavelength coverage,and compactness of the implementation path have been continuously iteratively up-graded.At the algorithm level,from pulse reconstruction methods targeting near Fourier transform limits to r econstruction algorithms for large chirp pulses with temporal broadening exceeding twice the Fourier trans-form limit,three evolutionary paths are discussed:spectral stitching schemes,reconstruction schemes incor-porating supervised deep learning,and neural networks without training embedded in physical forward mod-els.The latter achieves single-shot accurate reconstruction in large chirp and high noise scenarios without any pre-training dataset.In the face of emerging new beam characterization demands,the temporal measurement of ultrashort laser pulses still require significant attention in the future.