60 citations · 574 across the 80 of their papers we have counts for
51 papers · 1 filter
Euclid preparation. The shape of halo profiles in CDM and non-standard cosmologies
Euclid Collaboration, L. Pizzuti, G. Y. Ferron +304
We study the shape of three-dimensional and projected dark-matter halo profiles extracted from cosmological -body simulations in CDM and non-standard cosmologies, using the \…
Euclid: Inferring star-formation history via cross-correlations of photometric clustering and shear with the cosmic infrared background
J. Han, S. Camera, M. Migliaccio +146
The cosmic infrared background, sourced by dust heated by star-forming activity, encodes the integrated history of the star-formation distribution over a large swathe of cosmic tim…
Euclid: Measuring the intrinsic alignment of galaxies around cosmic voids in the \Euclid Flagship simulation\
P. Vielzeuf, M. -C. Cousinou, A. Pisani +149
We present a methodology to measure the intrinsic alignment (IA) signal of galaxies in the vicinity of cosmic voids using the \Euclid-like Flagship cosmological simulation from the…
The PAU Survey and Euclid: Analysing photometric redshifts from realistically simulated narrow-band photometry with Flagship 2
A. Wittje, H. Hildebrandt, D. Navarro-Gironés +154
The study of the large-scale structure of the Universe and the distribution of galaxies has been greatly advanced by the application of various types of photometric redshift estima…
Euclid: Precise inference of defocus wavefront error from image diffraction spike measurements
D. Neumann, L. Miller, H. Hoekstra +146
The success of the Euclid cosmological weak lensing measurements requires unprecedented knowledge of the point spread function (PSF) shape. Defocus wavefront errors induce variatio…
Euclid: Quick Data Release (Q1) -- LensMC shear measurement catalogue for cluster lensing science
G. Congedo, M. Sereno, H. Miyatake +140
We present a LensMC lensing analysis of Euclid Quick Release 1 images that were made available in March 2025. We measured shapes, positions, weights, and other morphological parame…
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. CII. Non-Gaussianity of 2-pt statistics likelihood: Parameter inference with a non-Gaussian likelihood in Fourier and configuration space
Euclid Collaboration, S. Gouyou Beauchamps, J. Bel +277
In this work we account for this skewness in parameter inference by modelling the likelihood through an Edgeworth expansion which involves the complete skewness tensor, composed of…
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 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: The linear-construction covariance and cosmology
V. Lindholm, E. Sihvola, J. Valiviita +137
We study the properties of galaxy cluster 2-point correlation function covariance matrices estimated using the linear-construction (LC) method, which is computationally up to 20 ti…
Euclid preparation. CIV. Impact of galaxy intrinsic alignment modelling choices on Euclid 3x2pt cosmology
Euclid Collaboration, D. Navarro-Gironés, I. Tutusaus +274
The Euclid galaxy survey will provide unprecedented constraints on cosmology, but achieving unbiased results will require an optimal characterisation and mitigation of systematic e…
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…
EMU and Euclid: Detection of a radio-optical galaxy clustering cross-correlation signal between the Evolutionary Map of the Universe and Euclid
G. Piccirilli, B. Bahr-Kalus, S. Camera +173
Synergies between large-scale radio-continuum and optical/near-infrared galaxy surveys are a powerful tool for cosmology. Cross-correlating these surveys can constrain the redshift…
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 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: Forecasts on CDM consistency tests with growth rate data
I. Ocampo, D. Sapone, S. Nesseris +156
The large-scale structure (LSS) of the Universe is an important probe for deviations from the canonical cosmological constant and cold dark matter (CDM) model. A statistical…
Euclid: Early Release Observations. Weak gravitational lensing analysis of Abell 2390
T. Schrabback, G. Congedo, R. Gavazzi +196
The Euclid space telescope of the European Space Agency (ESA) is designed to provide sensitive and accurate measurements of weak gravitational lensing distortions over wide areas o…
Euclid preparation. LXXXIX. Accurate and precise data-driven angular power spectrum covariances
Euclid Collaboration, K. Naidoo, J. Ruiz-Zapatero +280
We develop techniques for generating accurate and precise internal covariances for measurements of clustering and weak-lensing angular power spectra. These methods have been design…
Euclid preparation CIX. Baryon acoustic oscillation analysis of photometric galaxy clustering in configuration space
Euclid Collaboration, V. Duret, S. Escoffier +286
With about 1.5 billion galaxies expected to be observed, the very large number of objects in the Euclid photometric survey will allow for precise studies of galaxy clustering from…
Euclid preparation. 3-dimensional galaxy clustering in configuration space. Part I. 2-point correlation function estimation
Euclid Collaboration, S. de la Torre, F. Marulli +297
The 2-point correlation function of the galaxy spatial distribution is a major cosmological observable that enables constraints on the dynamics and geometry of the Universe. The Eu…
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: Optimising tomographic redshift binning for 32pt power spectrum constraints on dark energy
J. H. W. Wong, M. L. Brown, C. A. J. Duncan +136
We present a simulation-based method to explore the optimum tomographic redshift binning strategy for 3x2pt analyses with Euclid, focusing on the expected configuration of its firs…