61 citations · 269 across the 95 of their papers we have counts for
95 papers
Probing the molecular gas content of galaxies in an over-dense group at z~0.7: A test case for environmental quenching
Jonathan Freundlich, Benoît Epinat, Thierry Contini +14
We investigated the impact of group environment on molecular gas reservoirs at an intermediate redshift by observing the CO(2-1) emission from the galaxy group COSMOS-Gr30 at $z \s…
Euclid preparation. First investigation of the impact of cross-contamination on spectroscopic redshift measurements with pixel-level simulations
Euclid Collaboration, F. Passalacqua, S. Anselmi +299
We present a study on simulated data focused on understanding the performance of the spectroscopic redshift measurements with the Near-Infrared Spectrometer and Photometer (NISP) i…
\textit{Euclid} preparation. Baryon acoustic oscillations extraction techniques: comparison and optimisation
Euclid Collaboration, E. Sarpa, A. Veropalumbo +296
We present the first end-to-end validation of the Euclid baryon acoustic oscillation (BAO) analysis pipeline, encompassing density-field reconstruction, two-point correlation funct…
Euclid preparation. Three-dimensional galaxy clustering in configuration space: Three-point correlation function estimation
Euclid Collaboration, A. Veropalumbo, M. Moresco +303
Higher-order correlation functions are firmly established as a fundamental tool for the statistical analysis of clustering in modern galaxy surveys. It was demonstrated that they g…
Euclid preparation. Refining input galaxy shape distributions for shear calibration simulations
Euclid Collaboration, H. Jansen, N. Martinet +282
The Euclid Wide Survey (EWS) will cover the majority of the extragalactic sky with a resolution similar to the Hubble Space Telescope. This unprecedented data set will introduce a…
Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems
Euclid Collaboration, S. H. Vincken, K. Rojas +302
We present AstroVink, a vision transformer classifier designed for automated identification of strong lens candidates in Euclid imaging. We build upon the DINOv2 encoder, fine tune…
Euclid preparation. Galaxy power spectrum and bispectrum modelling
Euclid Collaboration, K. Pardede, A. Eggemeier +306
Higher-order correlation functions of the large-scale galaxy distribution offer access to information beyond that contained in standard 2-point statistics such as the power spectru…
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 preparation. Impact of redshift distribution uncertainties on the joint analysis of photometric galaxy clustering and weak gravitational lensing
Euclid Collaboration, K. A. Bertmann, A. Porredon +290
One of the mission's key projects is the so-called 32pt analysis, that is, the combination of cosmic shear, photometric galaxy clustering, and galaxy-gala…
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 preparation. Far-infrared predictions for Euclid galaxy catalogues: cluster, protocluster, and field
Euclid Collaboration, A. Parmar, D. L. Clements +297
The MAMBO mock galaxy catalogue, based on the Millennium Simulation with empirically assigned galaxy properties, provides predictions of FIR fluxes and physical parameters of Eucli…
Euclid preparation. Simulated galaxy catalogues for non-standard cosmological models
Euclid Collaboration, M. -A. Breton, P. Fosalba +289
Stage-IV galaxy surveys will provide the opportunity to test cosmological models and the underlying theory of gravity with unparalleled precision. In this context, it is crucial fo…
Euclid. Properties and performance of the NISP signal estimator
Euclid Collaboration, F. Cogato, B. Kubik +292
The Euclid spacecraft, located at the second Lagrangian point of the Sun-Earth system, hosts the Near-Infrared Spectrometer and Photometer (NISP) instrument. NISP is equipped with…
Euclid: Galaxy SED reconstruction in the PHZ processing function: impact on the PSF and the role of medium-band filters
Euclid Collaboration, F. Tarsitano, C. Schreiber +301
Weak lensing surveys require accurate correction for the point spread function (PSF) when measuring galaxy shapes. For a diffraction-limited PSF, as arises in space-based missions,…
Euclid preparation. 3D reconstruction of the cosmic web with simulated Euclid Deep spectroscopic samples
Euclid Collaboration, K. Kraljic, C. Laigle +321
The ongoing Euclid mission aims to measure spectroscopic redshifts for approximately two million galaxies using the H line emission detected in near-infrared slitless spectrosc…
Euclid preparation. Calibrated intrinsic galaxy alignments in the Euclid Flagship simulation
Euclid Collaboration, K. Hoffmann, R. Paviot +298
Intrinsic alignments of galaxies are potentially a major contaminant of cosmological analyses of weak gravitational lensing. We construct a semi-analytic model of galaxy ellipticit…
Euclid preparation. Testing analytic models of galaxy intrinsic alignments in the Euclid Flagship simulation
Euclid Collaboration, R. Paviot, B. Joachimi +293
We model intrinsic alignments (IA) in Euclid's Flagship simulation to investigate its impact on Euclid's weak lensing signal. Our IA implementation in the Flagship simulation takes…
Euclid preparation. Galaxy 2-point correlation function modelling in redshift space
Euclid Collaboration, M. Kärcher, M. -A. Breton +309
The Euclid satellite will measure spectroscopic redshifts for tens of millions of emission-line galaxies. In the context of Stage-IV surveys, the 3-dimensional clustering of galaxi…
Euclid preparation. Galaxy power spectrum modelling in redshift space
Euclid Collaboration, B. Camacho Quevedo, M. Crocce +292
Accurate modelling of redshift-space distortions (RSD) is essential for maximizing the cosmological information extracted from large galaxy redshift surveys. In preparation for the…
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)…