The ALHAMBRA survey: reliable morphological catalogue of 22,051 early- and late-type galaxies

TL;DR

This paper presents a reliable morphological catalogue of over 22,000 galaxies from the ALHAMBRA survey, utilizing Bayesian classification to distinguish early- and late-type galaxies with low contamination, aiding galaxy evolution studies.

Contribution

The study provides the first large-scale, low-contamination morphological classification of galaxies in the ALHAMBRA survey using automated Bayesian methods.

Findings

Over 22,000 galaxies classified with less than 10% contamination.

Catalogue includes galaxies up to redshift ~1.3 across multiple bands.

Classified galaxies follow expected color-mass and color-magnitude relations.

Abstract

ALHAMBRA is a photometric survey designed to trace the cosmic evolution and cosmic variance. It covers a large area of ~ 4 sq. deg in 8 fields, where 7 fields overlap with other surveys, allowing to have complementary data in other wavelengths. All observations were carried out in 20 continuous, medium band (30 nm width) optical and 3 near-infrared (JHK) bands, providing the precise measurements of photometric redshifts. In addition, morphological classification of galaxies is crucial for any kind of galaxy formation and cosmic evolution studies, providing the information about star formation histories, their environment and interactions, internal perturbations, etc. We present a morphological classification of > 40,000 galaxies in the ALHAMBRA survey. We associate to every galaxy a probability to be early-type using the automated Bayesian code galSVM. Despite of the spatial resolution of the ALHAMBRA images (~ 1 arcsec), for 22,051 galaxies we obtained the contamination by other type of less than 10%. Of those, 1,640 and 10,322 galaxies are classified as early- (down to redshifts ~ 0.5) and late-type (down to redshifts ~ 1.0), respectively, with magnitudes F613W < 22.0. In addition, for magnitude range 22.0 < F613W < 23.0 we classified other 10,089 late-type galaxies with redshifts < 1.3. We show that the classified objects populate the expected regions in the colour-mass and colour-magnitude planes. The presented dataset is especially attractive given the homogeneous multi-wavelength coverage available in the ALHAMBRA fields, and is intended to be used in a variety of scientific applications. The low-contamination catalogue (< 10%) is made publicly available with the present paper.