Deep learning-based statistical noise reduction for multidimensional spectral data
Younsik Kim,
Dongjin Oh,
Soonsang Huh
et al.
Abstract:In spectroscopic experiments, data acquisition in multi-dimensional phase space may require long acquisition time, owing to the large phase space volume to be covered. In such case, the limited time available for data acquisition can be a serious constraint for experiments in which multidimensional spectral data are acquired. Here, taking angleresolved photoemission spectroscopy (ARPES) as an example, we demonstrate a denoising method that utilizes deep learning as an intelligent way to overcome the constraint… Show more
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