WINGS-SPE II: A catalog of stellar ages and star formation histories, stellar masses and dust extinction values for local clusters galaxies

TL;DR

This paper presents a catalog of stellar ages, star formation histories, stellar masses, and dust extinction values for galaxies in local clusters, derived from spectroscopic data and stellar population modeling, confirming the reliability of the methods used.

Contribution

It provides a comprehensive catalog of galaxy properties in local clusters using spectrophotometric modeling, enhancing understanding of galaxy evolution in dense environments.

Findings

Derived stellar masses, ages, and extinction for ~5300 galaxy spectra.

Confirmed consistency of results with SDSS data.

Validated the spectrophotometric modeling approach.

Abstract

The WIde-field Nearby Galaxy clusters Survey (WINGS) is a project whose primary goal is to study the galaxy populations in clusters in the local universe (z<0.07) and of the influence of environment on their stellar populations. This survey has provided the astronomical community with a high quality set of photometric and spectroscopic data for 77 and 48 nearby galaxy clusters, respectively. In this paper we present the catalog containing the properties of galaxies observed by the WINGS SPEctroscopic (WINGS-SPE) survey, which were derived using stellar populations synthesis modelling approach. We also check the consistency of our results with other data in the literature. Using a spectrophotometric model that reproduces the main features of observed spectra by summing the theoretical spectra of simple stellar populations of different ages, we derive the stellar masses, star formation histories, average age and dust attenuation of galaxies in our sample. ~5300 spectra were analyzed with spectrophotometric techniques, and this allowed us to derive the star formation history, stellar masses and ages, and extinction for the WINGS spectroscopic sample that we present in this paper. The comparison with the total mass values of the same galaxies derived by other authors based on SDSS data, confirms the reliability of the adopted methods and data.