Astronomical image reconstruction is an inverse problem based on the knowledge of the point-spread function (PSF). However, this knowledge is often only partial, and a myopic deconvolution process is required for reaching the estimation of the solution. In this paper we propose a new statistical model which incorporates the presence of noise...
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2010 (v1)PublicationUploaded on: February 4, 2024
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2020 (v1)Publication
Machine learning is now one of the methodologies of choice for flare forecasting, and supervised techniques, in both their traditional and deep versions, are becoming more frequently used for prediction in this area of space weather. Most studies assess the prediction effectiveness of machine-learning methods by computing confusion matrices,...
Uploaded on: April 14, 2023