550 citations · 578 across the 11 of their papers we have counts for
12 papers
Euclid Quick Data Release (Q1). Exploring the complexity of quenching processes across time, environment, and mass through recently quenched galaxies
Euclid Collaboration, Z. Mao, L. Pozzetti +308
Recently quenched galaxies (RQGs) provide insights into galaxy quenching. We present a photometric and spectroscopic analysis of RQGs using the first Euclid Quick Data Release (Q1)…
Euclid: Disky titans - surprisingly high star formation activity and gas content in two brightest group galaxies at z~0.75
F. Gentile, E. Daddi, D. Elbaz +166
We present the discovery of two disky titans in the first data release of the Euclid satellite. These sources are massive (M>10^11 Msun) star-forming (SFR~20 Msun/yr) discs located…
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…
The observed total star formation rate function up to z \sim 6: complementary UV and IR contributions and comparison with state-of-the-art galaxy formation models
A. Traina, C. Gruppioni, I. Delvecchio +21
We investigate how the obscured IR-derived and the dust-corrected UV star formation rate functions (SFRFs) compare with each other, and with predictions from state-of-the-art theor…
Active galactic nuclei-heated dust revealed in "little red dots"
I. Delvecchio, E. Daddi, B. Magnelli +11
Little red dots (LRDs) are a puzzling population of extragalactic sources whose origin is highly debated. In this {work}, we performed a comprehensive stacking analysis of NIRCam,…
Euclid Quick Data Release (Q1). LEMON -- Lens Modelling with Neural networks. Automated and fast modelling of Euclid gravitational lenses with a singular isothermal ellipsoid mass profile
Euclid Collaboration, V. Busillo, C. Tortora +312
The Euclid mission aims to survey around 14000 deg^{2} of extragalactic sky, providing around 10^{5} gravitational lens images. Modelling of gravitational lenses is fundamental to…
Euclid Quick Data Release (Q1). A first view of the star-forming main sequence in the Euclid Deep Fields
Euclid Collaboration, A. Enia, L. Pozzetti +348
The star-forming main sequence (SFMS) is a tight relation observed between stellar masses and star formation rates (SFR) in a population of galaxies. This relation is observed at d…
ALMA reveals a dust-obscured galaxy merger at Cosmic Noon
I. Langan, G. Popping, M. Ginolfi +3
Galaxy mergers play a critical role in galaxy evolution - altering the size, morphology, dynamics and composition of galaxies. So far, galaxy mergers have mostly been identified th…
Euclid. I. Overview of the Euclid mission
Euclid Collaboration, Y. Mellier, Abdurro'uf +1134
The current standard model of cosmology successfully describes a variety of measurements, but the nature of its main ingredients, dark matter and dark energy, remains unknown. Eucl…
COSMOS-Web: The Role of Galaxy Interactions and Disk Instabilities in Producing Starbursts at z<4
A. L. Faisst, L. Yang, M. Brinch +51
We study of the role of galaxy-galaxy interactions and disk instabilities in producing starburst activity in galaxies out to z = 4. For this, we use a sample of 387 galaxies with r…
ACOSMOS: the infrared luminosity function and dust-obscured star formation rate density at
A. Traina, C. Gruppioni, I. Delvecchio +16
Aims: We leverage the largest available Atacama Large Millimetre/submillimetre Array (ALMA) survey from the archive (ACOSMOS) to study to study infrared luminosity function and…
Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events
Euclid Collaboration, L. Leuzzi, M. Meneghetti +216
Forthcoming imaging surveys will potentially increase the number of known galaxy-scale strong lenses by several orders of magnitude. For this to happen, images of tens of millions…