Convolutional Neural Networks and Stokes Response Functions

In this work, we study the information content learned by a convolutional neural network (CNN) when trained to carry out the inverse mapping between a database of synthetic Ca ii intensity spectra and the vertical stratification of the temperature of the atmospheres used to generate such spectra. In...

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Veröffentlicht in:	The Astrophysical journal 2022-02, Vol.925 (2), p.176
Hauptverfasser:	Centeno, Rebecca, Flyer, Natasha, Mukherjee, Lipi, Egeland, Ricky, Casini, Roberto, del Pino Alemán, Tanausú, Rempel, Matthias
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Astrophysics Convolutional neural networks Line spectra Mapping Neural networks Response functions Solar chromosphere Spectral sensitivity Spectroscopy Training
Online-Zugang:	Volltext
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