DOI: 10.1093/mnras/stad3956 ISSN: 0035-8711

An Extended Catalogue of galaxy morphology using Deep Learning in Southern Photometric Local Universe Survey Data Release 3

C R Bom, A Cortesi, U Ribeiro, L O Dias, K Kelkar, A V Smith Castelli, L Santana-Silva, V Lopes-Silva, T S Gonçalves, L R Abramo, E V R Lima, F Almeida-Fernandes, L Espinosa, L Li, M L Buzzo, C Mendes de Oliveira, L Sodré, F Ferrari, A Alvarez-Candal, M Grossi, E Telles, S Torres-Flores, S V Werner, A Kanaan, T Ribeiro, W Schoenell
  • Space and Planetary Science
  • Astronomy and Astrophysics

Abstract

The morphological diversity of galaxies is a relevant probe of galaxy evolution and cosmological structure formation. However, in large sky surveys, even the morphological classification of galaxies into two classes, like late-type (LT) and early-type (ET), still represents a significant challenge. In this work, we present a Deep Learning (DL) based morphological catalogue built from images obtained by the Southern Photometric Local Universe Survey (S-PLUS) Data Release 3 (DR3). Our DL method achieves a purity rate of 98.5% in accurately distinguishing between spiral, as part of the larger category of late-type (LT) galaxies, and elliptical, belonging to early-type (ET) galaxies. Additionally, we have implemented a secondary classifier that evaluates the quality of each galaxy stamp, which allows to select only high-quality images when studying properties of galaxies on the basis of their DL morphology. From our LT/ET catalogue of galaxies, we recover the expected colour–magnitude diagram in which LT galaxies display bluer colours than ET ones. Furthermore, we also investigate the clustering of galaxies based on their morphology, along with their relationship to the surrounding environment. As a result, we deliver a full morphological catalogue with 164314 objects complete up to rpetro < 18, covering ∼1800 deg2, from which ∼55000 are classified as high reliability, including a significant area of the Southern Hemisphere that was not covered by previous morphology catalogues.

More from our Archive