Aims: In this paper, we revisit the data for the galaxy cluster ZwCl 0024.0+1652 provided by the GLACE survey and study the mass-metallicity function and its relationship with the environment. Methods: Here we describe an alternative way to reduce the data from OSIRIS tunable filters. This method gives us better uncertainties in the fluxes of the

Galaxy clusters are composed of dark matter, gas and stars. Their dark matter component, which amounts to around 80% of the total mass, cannot be directly observed but traced by the distribution of diffused gas and galaxy members. In this work, we aim to infer the cluster's projected total mass distribution from mock observational data, i.e. stars

Context. Sigma Orionis is an open cluster in the nearest giant star formation site - Orion. Its youth (3−5 Myr), low reddening, and relative vicinity make it an important benchmark cluster to study stellar and substellar formation and evolution. Aims: Young star-forming sites are complex and hierarchical. Precision astrometry from Gaia DR3 enables

Los asteroides son los escombros resultantes de la formación planetaria en el Sistema Solar, por lo que su estudio nos ayuda a entender las condiciones reinantes en las primeras etapas de formación de nuestro sistema planetario. De entre ellos, los primitivos son aquellos con espectros similares a los de los meteoritos condritas carbonáceas, ricos

We present a comprehensive analysis of the presence of very massive stars (VMS > 100 M ⊙) in the integrated spectra of 13 UV-bright star-forming galaxies at 2.2 ≲ z ≲ 3.6 taken with the Gran Telescopio Canarias (GTC). These galaxies have very high UV absolute magnitudes (M UV ≃ −24), intense star formation (star formation rate ≃100 − 1000 M ⊙ yr −1

The aerospace sector is evolving due to reduced launch costs and standardization of small satellite platforms. This research, aligned with European Guidelines for Thermo-Elastic Verification, addresses the pointing precision gap in small satellites by assessing space telescope performance using uncertainty propagation in thermo-elastic models. The