MaNGA Morphology Deep Learning DR15 catalog

Helena Domínguez Sánchez, Mariangela Bernardi, Johanna-Laina Fischer

This is a morphological catalog of MaNGA galaxies obtained with Deep learning models. The models have been trained and tested on SDSS-DR7 images with great success(Domínguez Sánchez et al. 2018). The morphological catalog contains a series of Galaxy Zoo like attributes (edge-on, barred, projected pairs, bugle prominence and roundness), as well as a T-Type and a finer separation between pure elliptical and S0 galaxies. All the T-Type values in this catalog have been eye-balled, and modified if necessary, for additional reliability (see Fischer et al. 2018).

This catalog complements the set of parameters provided by the MaNGA PyMorph DR15 photometric catalog. It also complements the Galaxy Zoo MaNGA catalog by providing a T-Type and a finer separation between S0s and pure ellipticals.