activity
20242026
collaborators

15 papers

astro-ph.GA2026

Euclid Quick Data Release (Q1). Searching for radio-selected \Euclid-dark galaxies in the EDF-N

Euclid Collaboration, M. Giulietti, I. Prandoni +308

We present and investigate the properties of a sample of radio-selected, Euclid-dark galaxies, identified from LOFAR HBA observations at 144 MHz within the Euclid Deep Field-North…

astro-ph.GA2026

Satellite compaction pathways: environmental drivers shaping dwarf galaxy corpulence in the TNG50 simulation

Abhner P. De Almeida, Gary A. Mamon, Gastão B. Lima Neto

We explore the physical mechanisms driving dwarf galaxy corpulence, focusing on those that end up as compact satellites. We select dwarf galaxies at with $\log(M_\star/{\rm M…

astro-ph.GA2026

Ram-pressure-induced star formation in low-mass galaxies infalling on-to the Coma cluster: insights from DESI

Kirill A. Grishin, Igor V. Chilingarian, Gary A. Mamon +2

Ram-pressure stripping is a key driver of galaxy morphological transformation in clusters, contributing to the formation of quenched, especially dwarf, populations. Ram-pressure co…

astro-ph.GA2026

Euclid Quick Data Release (Q1). Quenching precedes bulge formation in dense environments but follows it in the field

Euclid Collaboration, F. Gentile, E. Daddi +321

(Abridged) The bimodality between star-forming discs and quiescent spheroids requires the existence of two main processes: the galaxy quenching and the morphological transformation…

astro-ph.GA2026

Star formation quenching precedes morphological transformation in COSMOS-WEB's richest galaxy groups

Z. Ghaffari, G. Gozaliasl, A. Biviano +26

We analyzed the 25 richest galaxy groups in COSMOS-Web at z = 0.18-3.65, identified via the AMICO algorithm. These groups contain 20-30 galaxies with high (>75%) membership probabi…

astro-ph.CO2025

Euclid preparation. Methodology for validating the Euclid Catalogue of Galaxy Clusters using external data

Euclid Collaboration, J. -B. Melin, S. A. Stanford +315

We present our methodology for identifying known clusters as counterparts to objects in the Euclid Catalogue of Galaxy Clusters (ECGC). Euclid is expected to detect a large number…