A deep learning approach to photospheric parameters of CARMENES target stars
In the light of more and more new instrumentation to get a deeper insight into the universe, tons of data are collected. While traditional machine-learning methods have been used in processing stellar spectral data, such large new datasets are better handled with Deep Learning (DL) techniques. In this work, we present a Deep Convolutional Neural
Passegger, Vera Maria et al.
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2021