61 citations · 269 across the 95 of their papers we have counts for
71 papers · 1 filter
Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data
Euclid Collaboration, N. E. P. Lines, T. E. Collett +301
In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…
Euclid Structural-Thermal-Optical Performance
Euclid Collaboration, A. Anselmi, R. Laureijs +290
The Euclid system performance is defined in terms of image quality metrics tuned to the weak gravitational lensing (WL) cosmological probe. WL induces stringent requirements on the…
Euclid preparation: LXXXI. The impact of nonparametric star formation histories on spatially resolved galaxy property estimation using synthetic Euclid images
Euclid Collaboration, A. Nersesian, Abdurro'uf +283
We analyzed the spatially resolved and global star formation histories (SFHs) for a sample of 25 TNG50-SKIRT Atlas galaxies to assess the feasibility of reconstructing accurate SFH…
Mapping the Galaxy Color-Star Formation Rate Relation with Manifold Learning and Infrared Image Stacking
Yu-Heng Lin, Daniel Masters, Andreas L. Faisst +7
Modern surveys present us with billions of faint galaxies for which we only have broadband images in 6-8 optical-to-near-infrared (NIR) filters. Galaxy star formation rates (…
Euclid Quick Data Release (Q1): Hunting for luminous z > 6 galaxies in the Euclid Deep Fields -- forecasts and first bright detections
Euclid Collaboration, N. Allen, P. A. Oesch +309
The evolution of the rest-frame ultraviolet luminosity function (UV LF) is a powerful probe of early star formation and stellar mass build-up. At z > 6, its bright end (MUV < -21)…
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). Spectroscopic unveiling of highly ionised lines at z = 2.48-3.88
Euclid Collaboration, D. Vergani, S. Quai +316
This study explores a rare population of sources in a currently uncharted region of spectroscopic redshift space in the Euclid Quick Data Release (Q1), and is intended potentially…
Euclid preparation. XCII. Controlling angular systematics in the Euclid spectroscopic galaxy sample
Euclid Collaboration, P. Monaco, M. Y. Elkhashab +298
We present the strategy used to identify and mitigate potential sources of angular systematics in the \textit{Euclid} spectroscopic galaxy survey, and we quantify their impact on g…
Euclid Quick Data Release (Q1). Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks
Euclid Collaboration, L. Bazzanini, G. Angora +306
Strong gravitational lensing (SL) by galaxy clusters is a powerful probe of their inner mass distribution and a key test bed for cosmological models. However, the detection of SL e…
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…
Euclid preparation: The flat-sky approximation for the clustering of Euclid's photometric galaxies
Euclid Collaboration, W. L. Matthewson, R. Durrer +277
We compare the performance of the flat-sky approximation and Limber approximation for the clustering analysis of the photometric galaxy catalogue of Euclid. We study a 6 bin config…
Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 6: Impact of systematic uncertainties on the cosmological analysis
Euclid Collaboration, L. Blot, K. Tanidis +309
Extracting cosmological information from the Euclid galaxy survey will require modelling numerous systematic effects during the inference process. This implies varying a large numb…
Euclid preparation XCVII. Cosmology Likelihood for Observables in Euclid (CLOE). 4: Validation and performance
Euclid Collaboration, M. Martinelli, A. Pezzotta +334
The Euclid satellite will provide data on the clustering of galaxies and on the distortion of their measured shapes, which can be used to constrain and test the cosmological model.…
Cosmology Likelihood for Observables in \Euclid (CLOE). 1. Theoretical recipe
Euclid Collaboration, V. F. Cardone, S. Joudaki +323
As the statistical precision of cosmological measurements increases, the accuracy of the theoretical description of these measurements needs to increase correspondingly in order to…
Euclid preparation. LXXXV. Toward a DR1 application of higher-order weak lensing statistics
Euclid Collaboration, S. Vinciguerra, F. Bouchè +284
This is the second paper in the HOWLS (higher-order weak lensing statistics) series exploring the usage of non-Gaussian statistics for cosmology inference within Euclid. With respe…
PRIMAger General Observer programs: a {\Large }-sr Infrared Survey and other General Observer wide-field programs
Denis Burgarella, Matthieu Bethermin, Alessandro Boselli +5
The PRobe far-Infrared Mission for Astrophysics (PRIMA) is a cryogenically-cooled, far-infrared (far-IR) observatory expected to begin serving the astronomical community by early 2…
Euclid preparation. Predicting star-forming galaxy scaling relations with the spectral stacking code SpectraPyle
Euclid Collaboration, S. Quai, L. Pozzetti +309
We introduce SpectraPyle, a versatile spectral stacking pipeline developed for the Euclid mission's NISP spectroscopic surveys, aimed at extracting faint emission lines and spectra…
Thermal Sunyaev-Zel'dovich effect at the core of CL J1226.9+3332 revealed by NOEMA
M. Muñoz-Echeverría, J. -F. Macías-Pérez, R. Neri +58
We present first detailed maps of the thermal Sunyaev-Zel'dovich (tSZ) effect on a cluster with the NOrthern Extended Millimeter Array (NOEMA). The high sensitivity of t…
Euclid preparation LXXIX. Using mock low surface brightness dwarf galaxies to probe Euclid Wide Survey detection capabilities
Euclid Collaboration, M. Urbano, P. -A. Duc +313
Local Universe dwarf galaxies can serve as both cosmological and mass assembly probes. Deep surveys have enabled the study of these objects down to the low surface brightness (LSB)…
Euclid preparation. LXXIV. Euclidised observations of Hubble Frontier Fields and CLASH galaxy clusters
Euclid Collaboration, P. Bergamini, M. Meneghetti +263
We present HST2EUCLID, a novel Python code to generate Euclid realistic mock images in the , , , and photometric bands based on panchro…
Euclid preparation. Establishing the quality of the 2D reconstruction of the filaments of the cosmic web with DisPerSE using Euclid photometric redshifts
Euclid Collaboration, N. Malavasi, F. Sarron +313
Cosmic filaments are prominent structures of the matter distribution of the Universe. Modern detection algorithms are an efficient way to identify filaments in large-scale observat…
Euclid preparation: Expected constraints on initial conditions
Euclid Collaboration, F. Finelli, Y. Akrami +307
The Euclid mission of the European Space Agency will deliver galaxy and cosmic shear surveys, which will be used to constrain initial conditions and statistics of primordial fluctu…
Euclid preparation. Overview of Euclid infrared detector performance from ground tests
Euclid Collaboration, B. Kubik, R. Barbier +341
The paper describes the objectives, design and findings of the pre-launch ground characterisation campaigns of the Euclid infrared detectors. The pixel properties, including baseli…
Euclid VI. NISP-P optical ghosts
Euclid Collaboration, K. Paterson, M. Schirmer +309
The Near-Infrared Spectrometer and Photometer (NISP) onboard Euclid includes several optical elements in its path, which introduce artefacts into the data from non-nominal light pa…