137 citations · 1k across the 88 of their papers we have counts for
94 papers
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: Early Release Observations -- The formation of peanutty dwarf galaxies in Perseus
A. U. Kapoor, R. Smith, A. J. Zuiderwijk +133
Dwarf galaxies in dense cluster environments are susceptible to tidal interactions that can alter their morphology and kinematics. Boxy isophotes are well studied in massive galaxi…
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: 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 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. 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 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…
Substellar Initial Mass Function of Trumpler 14
Tamara Rom, Estelle Moraux, Koraljka Mužić +3
Young, massive stellar clusters offer a prime setting to explore brown dwarf (BD) formation under high densities and intense UV radiation. Trumpler 14 (Tr 14), a 1 Myr-old cluster…
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…
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). The average far-infrared properties of Euclid-selected star-forming galaxies
Euclid Collaboration, R. Hill, A. Abghari +302
The first Euclid Quick Data Release contains millions of galaxies with excellent optical and near-infrared (IR) coverage. To complement this dataset, we investigate the average far…
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 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)…
Blind search for activity-sensitive lines in the near-infrared using HARPS and NIRPS observations of Proxima and Gl 581
João Gomes da Silva, Elisa Delgado-Mena, Nuno C. Santos +145
Stellar activity variability is one of the main obstacles to the detection of Earth-like planets using the RV method. The aim of this work is to measure the effect of activity in t…
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…