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The Hermite-Gaussian (HG) modes make up a complete and orthonormal basis,which have been extensively used to describe optical fields. Here, wedemonstrate, for the first time to our knowledge, deep learning-based modaldecomposition (MD) of HG beams. This method offers a fast, economical androbust way to acquire both the power content and phase information through asingle-shot beam intensity image, which will be beneficial for the beamshaping, beam quality assessment, studies of resonator perturbations, and otherfurther research on the HG beams.

Preliminary study on the modal decomposition of Hermite Gaussian beams via deep learning