550 citations · 1.2k across the 37 of their papers we have counts for
37 papers
Euclid preparation. Review of forecast constraints on dark energy and modified gravity
Euclid Collaboration, N. Frusciante, M. Martinelli +326
The Euclid mission has been designed to provide, as one of its main deliverables, information on the nature of the gravitational interaction, which determines the expansion of the…
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. Constraining parameterised models of modifications of gravity with the spectroscopic and photometric primary probes
Euclid Collaboration, I. S. Albuquerque, N. Frusciante +285
The Euclid mission has the potential to understand the fundamental physical nature of late-time cosmic acceleration and, as such, of deviations from the standard cosmological model…
Performance of the image persistence model for Euclid infrared detectors
B. Kubik, R. Barbier, G. Smadja +99
Large-format infrared detectors are at the heart of major ground and space-based astronomical instruments, and the HgCdTe HxRG is the most widely used. The Near Infrared Spectromet…
Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention
Euclid Collaboration, A. Humphrey, P. A. C. Cunha +232
Euclid will image ~14000 deg^2 of the extragalactic sky at visible and NIR wavelengths, providing a dataset of unprecedented size and richness that will facilitate a multitude of s…
Euclid preparation. Spatially resolved stellar populations of local galaxies with Euclid: a proof of concept using synthetic images with the TNG50 simulation
Euclid Collaboration, Abdurro'uf, C. Tortora +286
The European Space Agency's Euclid mission will observe approximately 14,000 of the extragalactic sky and deliver high-quality imaging for many galaxies. The depth a…
Euclid preparation LX. The use of HST images as input for weak-lensing image simulations
Euclid Collaboration, D. Scognamiglio, T. Schrabback +245
Data from the Euclid space telescope will enable cosmic shear measurements with very small statistical errors, requiring corresponding systematic error control level. A common appr…
Euclid preparation. LXVIII. Extracting physical parameters from galaxies with machine learning
Euclid Collaboration, I. Kovačić, M. Baes +287
The Euclid mission is generating a vast amount of imaging data in four broadband filters at high angular resolution. This will allow the detailed study of mass, metallicity, and st…
Euclid preparation: TBD. The impact of line-of-sight projections on the covariance between galaxy cluster multi-wavelength observable properties -- insights from hydrodynamic simulations
Euclid Collaboration, A. Ragagnin, A. Saro +240
Cluster cosmology can benefit from combining multi-wavelength studies, which can benefit from characterising the correlation coefficients between different mass-observable relation…
Euclid preparation. The impact of relativistic redshift-space distortions on two-point clustering statistics from the Euclid wide spectroscopic survey
Euclid Collaboration, M. Y. Elkhashab, D. Bertacca +252
Measurements of galaxy clustering are affected by RSD. Peculiar velocities, gravitational lensing, and other light-cone projection effects modify the observed redshifts, fluxes, an…
Euclid preparation: 6x2 pt analysis of Euclid's spectroscopic and photometric data sets
Euclid Collaboration, L. Paganin, M. Bonici +252
We present cosmological parameter forecasts for the Euclid 6x2pt statistics, which include the galaxy clustering and weak lensing main probes together with previously neglected cro…
Euclid preparation. Simulations and nonlinearities beyond CDM. 1. Numerical methods and validation
Euclid Collaboration, J. Adamek, B. Fiorini +268
To constrain models beyond CDM, the development of the Euclid analysis pipeline requires simulations that capture the nonlinear phenomenology of such models. We present an overv…
Euclid preparation. L. Calibration of the linear halo bias in CDM cosmologies
Euclid Collaboration, T. Castro, A. Fumagalli +253
The Euclid mission, designed to map the geometry of the dark Universe, presents an unprecedented opportunity for advancing our understanding of the cosmos through its photometric g…
Euclid preparation. LXVII. Deep learning true galaxy morphologies for weak lensing shear bias calibration
Euclid Collaboration, B. Csizi, T. Schrabback +259
To date, galaxy image simulations for weak lensing surveys usually approximate the light profiles of all galaxies as a single or double Sérsic profile, neglecting the influence of…
Euclid preparation LXXI. Simulations and nonlinearities beyond CDM. 3. Constraints on models from the photometric primary probes
Euclid Collaboration, K. Koyama, S. Pamuk +275
We study the constraint on gravity that can be obtained by photometric primary probes of the Euclid mission. Our focus is the dependence of the constraint on the theoretical…
Euclid preparation LXIII. Simulations and nonlinearities beyond CDM. 2. Results from non-standard simulations
Euclid Collaboration, G. Rácz, M. -A. Breton +275
The Euclid mission will measure cosmological parameters with unprecedented precision. To distinguish between cosmological models, it is essential to generate realistic mock observa…
Euclid preparation: Determining the weak lensing mass accuracy and precision for galaxy clusters
Euclid Collaboration, L. Ingoglia, M. Sereno +279
We investigate the level of accuracy and precision of cluster weak-lensing (WL) masses measured with the \Euclid data processing pipeline. We use the DEMNUni-Cov -body simulatio…
Euclid preparation. The Cosmic Dawn Survey (DAWN) of the Euclid Deep and Auxiliary Fields
Euclid Collaboration, C. J. R. McPartland, L. Zalesky +288
Euclid will provide deep NIR imaging to 26.5 AB magnitude over 59 deg in its deep and auxiliary fields. The Cosmic DAWN survey complements the deep Euclid data with…
Euclid Preparation. Cosmic Dawn Survey: Data release 1 multiwavelength catalogues for Euclid Deep Field North and Euclid Deep Field Fornax
Euclid Collaboration, L. Zalesky, C. J. R. McPartland +272
The Cosmic Dawn Survey (DAWN survey) provides multiwavelength (UV/optical to mid-IR) data across the combined 59 deg of the Euclid Deep and Auxiliary fields (EDFs and EAFs).…
Euclid preparation. LIX. Angular power spectra from discrete observations
Euclid Collaboration, N. Tessore, B. Joachimi +266
We present the framework for measuring angular power spectra in the Euclid mission. The observables in galaxy surveys, such as galaxy clustering and cosmic shear, are not continuou…
Euclid preparation. Exploring the properties of proto-clusters in the Simulated Euclid Wide Survey
Euclid Collaboration, H. Böhringer, G. Chon +263
Galaxy proto-clusters are receiving an increased interest since most of the processes shaping the structure of clusters of galaxies and their galaxy population are happening at ear…
Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods
Euclid Collaboration, A. Enia, M. Bolzonella +260
Euclid will collect an enormous amount of data during the mission's lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting metho…
Euclid preparation. Sensitivity to non-standard particle dark matter model
Euclid Collaboration, J. Lesgourgues, J. Schwagereit +249
The Euclid mission of the European Space Agency will provide weak gravitational lensing and galaxy clustering surveys that can be used to constrain the standard cosmological model…
Euclid preparation. Observational expectations for redshift z<7 active galactic nuclei in the Euclid Wide and Deep surveys
Euclid Collaboration, M. Selwood, S. Fotopoulou +260
We forecast the expected population of active galactic nuclei (AGN) observable in the Euclid Wide Survey (EWS) and Euclid Deep Survey (EDS). Starting from an X-ray luminosity funct…