MASSA P.

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In this "Methods " paper, we investigate how to compress SDO/AIA data by transforming the AIA source maps into the Fourier domain at a limited set of spatial frequency points. Specifically, we show that compression factors of one order of magnitude or more can be achieved without significant loss of information. The exploration of data...

In this work we deal with parametric inverse problems, which consist in recovering a finite number of parameters describing the structure of an unknown object, from indirect measurements. State-of-the-art methods for approximating a regularizing inverse operator by using a dataset of input-output pairs of the forward model rely on deep learning...