Machines learn to infer stellar parameters just by looking at a large number of spectra
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DOI: 10.1093/mnras/staa3540
Abstract: Machine learning has been widely applied to clearly defined problems of astronomy and astrophysics. However, deep learning and its conceptual differences to classical machine learning have been largely overlooked in these fields. The broad hypothesis… read more here.
Keywords: learn infer; number; stellar parameters; infer stellar ... See more keywords