We study the stellar mass function (SMF) of quiescent and star-forming galaxies and its dependence on morphology in ten redshift bins at 0.2 < z < 5.5. We used the COSMOS2025 catalog, built from the 0.54 deg 2 JWST imaging from the COSMOS-Web survey, to select galaxies by type using the NUVrJ rest-frame color diagram and to classify them

Studying the composition and origin of the inner region of our Galaxy—the "Galactic bulge"—is crucial for understanding the formation and evolution of the Milky Way and other galaxies. We present new observational constraints based on a sample of around 18 000 stars in the inner Galaxy, combining Gaia DR3 RVS and APOGEE DR17 spectroscopy. Gaia-RVS

Aims. In this work, we exploit the most robust, old, and cosmology-independent age estimates of individual stars from Gaia DR3 to place a lower bound on the age of the Universe, t U. These constraints can be used as an anchor point for any cosmological model, thus providing an upper limit to the Hubble constant H 0. Methods. Our primary stellar age

Nuclear star clusters (NSC) are dense and compact stellar systems with sizes of a few parsecs located at galactic centers. Their properties and formation mechanisms seem to be tightly linked to the evolution of the host galaxy, with potentially different formation channels for late- and early-type galaxies (LTGs and ETGs). While most observations

ASASSN-24fw, monitored by the All-Sky Automated Survey for SuperNovae, underwent a rapid and deep dimming event beginning in late 2024 and lasting until 2025 June. The pre-dimming spectral energy distribution indicates that ASASSN-24fw is an F-type main-sequence star with a persistent infrared excess, corresponding to a fractional luminosity of

The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) is an ongoing observational programme aiming to map thousands of square degrees in the Northern Hemisphere. By combining 56 narrow-band photometric filters with a wide field of view, the survey delivers high-quality, integral-field-unit (IFU) like data suitable for