123 citations · 411 across the 51 of their papers we have counts for
19 papers · 1 filter
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 Quick Data Release (Q1) Euclid spectroscopy of quasars. 2. Physical properties from spectral fitting
Euclid Collaboration, J. Calhau, G. Calderone +312
A substantial volume of spectroscopic data has become available with the Euclid Data Release (Q1), which represents a unique opportunity to study quasars (QSOs) in the Euclid Deep…
Euclid: Discovery of 31 new quasars at
D. Yang, J. F. Hennawi, F. Guarneri +211
We report the discovery of 31 new high- quasars in the redshift range . These quasars were selected from approximately 3000 deg of sky covered during the firs…
Euclid Quick Data Release (Q1): The geometry of dark matter halos from extragalactic streams
Euclid Collaboration, N. Starkman, J. Nibauer +295
Wide-field surveys like Euclid mark a new era of extragalactic stellar stream studies. With a large number of streams, it is now possible to constrain the dark matter halos of gala…
Euclid Quick Data Release (Q1): The impact of AGN emission on SED-derived physical properties
Euclid Collaboration, B. Laloux, A. Bongiorno +309
The Euclid Quick Data Release (Q1) is a powerful dataset to study active galactic nuclei (AGN) and their host galaxies. Deriving their physical properties through multi-component s…
Euclid preparation. Probing galaxy evolution within cosmic voids in Euclid-like simulations
Euclid Collaboration, G. Papini, O. Cucciati +294
The evolution of galaxies is profoundly influenced by the environment in which they reside. Cosmic voids serve as pristine laboratories for studying galaxy evolution in the relativ…
Euclid: Scaled-up little red dots and other sources with v-shaped spectral energy distributions at z>4
Euclid Collaboration, A. A. Tumborang, K. I. Caputi +169
Little Red Dots (LRDs) are some the most intriguing galaxy populations recently identified at z>~4 with JWST. They constitute the most extreme class of a more abundant population o…
Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification
Euclid Collaboration, X. Xu, R. Chen +308
We present an end-to-end, iterative pipeline for efficient identification of strong galaxy--galaxy lensing systems, applied to the Euclid Q1 imaging data. Starting from VIS catalog…
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine F -- Bright and low-redshift strong lenses
Euclid Collaboration, L. R. Ecker, M. Fabricius +346
We present 72 additional galaxy-galaxy strong lenses that complement the sample discovered in the Euclid Quick Release 1 data (63.1 deg^2) of the Strong Lens Discovery Engine (SLDE…
Euclid Quick Data Release (Q1): Euclid spectroscopy of quasars. 1. Identification and redshift determination of 3500 bright quasars
Euclid Collaboration, Y. Fu, R. Bouwens +354
The slitless spectroscopy mode of the NISP onboard Euclid has enabled efficient spectroscopy of objects within a large FoV. We present a large and homogeneous sample of bright quas…
Euclid Quick Data Release (Q1): Identification of massive galaxy candidates at the end of the Epoch of Reionisation
Euclid Collaboration, R. Navarro-Carrera, K. I. Caputi +295
Probing the presence and properties of massive galaxies at high redshift is one of the most critical tests for galaxy formation models. In this work, we search for galaxies with st…
Euclid Quick Data Release (Q1). Photometric redshifts and physical properties of galaxies through the PHZ processing function
Euclid Collaboration, M. Tucci, S. Paltani +344
The ESA Euclid mission will measure the photometric redshifts of billions of galaxies in order to provide an accurate 3D view of the Universe at optical and near-infrared wavelengt…
Euclid Quick Data Release (Q1). Extending the quest for little red dots to z<4
Euclid Collaboration, L. Bisigello, G. Rodighiero +348
Recent James Webb Space Telescope (JWST) observations have revealed a population of sources with a compact morphology and a characteristic `v-shaped' continuum, namely blue at rest…
Euclid Quick Data Release (Q1). Exploring galaxy morphology across cosmic time through Sersic fits
Euclid Collaboration, L. Quilley, I. Damjanov +333
We present the results of the single-component Sérsic profile fitting for the magnitude-limited sample of \IE galaxies within the 63.1 deg area of the Euclid Quick Data Re…
Euclid: Early Release Observations -- A preview of the Euclid era through a galaxy cluster magnifying lens
H. Atek, R. Gavazzi, J. R. Weaver +200
We present the first analysis of the Euclid Early Release Observations (ERO) program that targets fields around two lensing clusters, Abell 2390 and Abell 2764. We use VIS and NISP…
Euclid: Early Release Observations -- Overview of the Perseus cluster and analysis of its luminosity and stellar mass functions
J. -C. Cuillandre, M. Bolzonella, A. Boselli +199
The Euclid ERO programme targeted the Perseus cluster of galaxies, gathering deep data in the central region of the cluster over 0.7 square degree, corresponding to approximately 0…
Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning
F. Tarsitano, C. Bruderer, K. Schawinski +1
In this work we explore the possibility of applying machine learning methods designed for one-dimensional problems to the task of galaxy image classification. The algorithms used f…
Pushing automated morphological classifications to their limits with the Dark Energy Survey
J. Vega-Ferrero, H. Domínguez Sánchez, M. Bernardi +60
We present morphological classifications of 27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classif…
A catalogue of structural and morphological measurements for DES Y1
F. Tarsitano, W. G. Hartley, A. Amara +60
We present a structural and morphological catalogue for 45 million objects selected from the first year of data from the Dark Energy Survey (DES). Single Sersic fits and non-parame…