379 citations · 422 across the 6 of their papers we have counts for
3 papers · 1 filter
Revisiting the SFR-Mass relation at z=0 with detailed deep learning based morphologies
Helena Domínguez Sánchez, Mariangela Bernardi, Marc Huertas-Company
Galaxy morphology is a key parameter in galaxy evolution studies. The enormous number of galaxies which current and future surveys will observe demand of automated methods for morp…
Lessons Learned from the Two Largest Galaxy Morphological Classification Catalogues built by Convolutional Neural Networks
Ting-Yun Cheng, H. Domínguez Sánchez, J. Vega-Ferrero +54
We compare the two largest galaxy morphology catalogues, which separate early and late type galaxies at intermediate redshift. The two catalogues were built by applying supervised…
Improving galaxy morphologies for SDSS with Deep Learning
H. Domínguez Sánchez, M. Huertas-Company, M. Bernardi +2
We present a morphological catalogue for 670,000 galaxies in the Sloan Digital Sky Survey in two flavours: T-Type, related to the Hubble sequence, and Galaxy Zoo 2 (GZ2 here…