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 …

We present the data release for Galaxy Zoo 2 (GZ2), a citizen science project with more than
16 million morphological classifications of 304 122 galaxies drawn from the Sloan Digital …

We present a catalog of detailed visual classifications for 14,034 galaxies in the Sloan
Digital Sky Survey (SDSS) Data Release 4 (DR4). Our sample includes nearly all …

In order to understand the formation and subsequent evolution of galaxies one must first
distinguish between the two main morphological classes of massive systems: spirals and …

Morphology is a powerful indicator of a galaxy's dynamical and merger history. It is strongly
correlated with many physical parameters, including mass, star formation history and the …

We present morphological classifications obtained using machine learning for objects in the
Sloan Digital Sky Survey DR6 that have been classified by Galaxy Zoo into three classes …

We analyse the optical morphologies of galaxies in the IllustrisTNG simulation at z∼ 0 with a
convolutional neural network trained on visual morphologies in the Sloan Digital Sky …

Measuring the morphological parameters of galaxies is a key requirement for studying their
formation and evolution. Surveys such as the Sloan Digital Sky Survey have resulted in the …

Abstract We use the Fourth Data Release of the Sloan Digital Sky Survey to investigate the
relation between galaxy rest-frame u− r colour, morphology, as described by the …

Morphological classification is a key piece of information to define samples of galaxies
aiming to study the large-scale structure of the universe. In essence, the challenge is to build …