most citedDeep learning Approach for Classifying, Detecting and Predicting Photometric Redshifts of Quasars in the Sloan Digital Sky Survey Stripe 82

68 citations · 68 across the 1 of their papers we have counts for

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1 paper

astro-ph.IM2017★ 68 cited

Deep learning Approach for Classifying, Detecting and Predicting Photometric Redshifts of Quasars in the Sloan Digital Sky Survey Stripe 82

Johanna Pasquet-Itam, Jérôme Pasquet

We apply a convolutional neural network (CNN) to classify and detect quasars in the Sloan Digital Sky Survey Stripe 82 and also to predict the photometric redshifts of quasars. The…