1.2k citations · 4.3k across the 61 of their papers we have counts for
62 papers
2+1 is not 3: Angular bispectrum and Super-Sample Covariance on the light cone
Fabien Lacasa, Julien Grain
Observations of the Large Scale Structure sit on the light cone. Cosmological statistics must then be projected from 3D to angular space. For the bispectrum and higher orders, the…
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. XCV. Cosmology Likelihood for Observables in Euclid (CLOE). 2. Code implementation
Euclid Collaboration, S. Joudaki, V. Pettorino +345
We provide a description of the code implementation and structure of Cosmology Likelihood for Observables in Euclid (CLOE), developed by members of the Euclid Consortium. CLOE is a…
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: 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 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. XCVI. Cosmology Likelihood for Observables in Euclid (CLOE). 3. Inference and Forecasts
Euclid Collaboration, G. Cañas-Herrera, L. W. K. Goh +337
The Euclid mission aims to measure the positions, shapes, and redshifts of over a billion galaxies to provide unprecedented constraints on the nature of dark matter and dark energy…
Euclid preparation. XCVIII. Cosmology Likelihood for Observables in Euclid (CLOE). 5: Extensions beyond the standard modelling of theoretical probes and systematic effects
Euclid Collaboration, L. W. K. Goh, A. Nouri-Zonoz +301
Euclid is expected to establish new state-of-the-art constraints on extensions beyond the standard LCDM cosmological model by measuring the positions and shapes of billions of gala…
Euclid Quick Data Release (Q1) -- Data release overview
Euclid Collaboration, H. Aussel, I. Tereno +407
The first Euclid Quick Data Release, Q1, comprises 63.1 sq deg of the Euclid Deep Fields (EDFs) to nominal wide-survey depth. It encompasses visible and near-infrared space-based i…
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 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. 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. III. The NISP Instrument
Euclid Collaboration, K. Jahnke, W. Gillard +434
The Near-Infrared Spectrometer and Photometer (NISP) on board the Euclid satellite provides multiband photometry and R>=450 slitless grism spectroscopy in the 950-2020nm wavelength…
Euclid. II. The VIS Instrument
Euclid Collaboration, M. S. Cropper, A. Al-Bahlawan +432
This paper presents the specification, design, and development of the Visible Camera (VIS) on the ESA Euclid mission. VIS is a large optical-band imager with a field of view of 0.5…
Fast and spurious: a robust determination of our peculiar velocity with future galaxy surveys
Fabien Lacasa, Camille Bonvin, Charles Dalang +1
To date, the most precise measurement of the observer's peculiar velocity comes from the dipole in the Cosmic Microwave Background (CMB). This velocity also generates a dipole in t…
Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning
Euclid Collaboration, B. Aussel, S. Kruk +255
The Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep…
Euclid preparation. LII. Forecast impact of super-sample covariance on 3x2pt analysis with Euclid
Euclid Collaboration, D. Sciotti, S. Gouyou Beauchamps +221
Deviations from Gaussianity in the distribution of the fields probed by large-scale structure surveys generate additional terms in the data covariance matrix, increasing the uncert…
Euclid: Constraints on f(R) cosmologies from the spectroscopic and photometric primary probes
S. Casas, V. F. Cardone, D. Sapone +126
will provide a powerful compilation of data including spectroscopic redshifts, the angular clustering of galaxies, weak lensing cosmic shear, and the cross-correl…
Efficient computation of the super-sample covariance for stage IV galaxy surveys
Fabien Lacasa, Marie Aubert, Philippe Baratta +6
Super-sample covariance (SSC) is an important effect for cosmological analyses that use the deep structure of the cosmic web; it may, however, be nontrivial to include it practical…
Statistical effects of the observer's peculiar velocity on source number counts
Charles Dalang, Ruth Durrer, Fabien Lacasa
The velocity of the Sun with respect to the cosmic microwave background (CMB) can be extracted from the CMB dipole, provided its intrinsic dipole is assumed to be small in comparis…
Impact of survey geometry and super-sample covariance on future photometric galaxy surveys
S. Gouyou Beauchamps, F. Lacasa, I. Tutusaus +4
Photometric galaxy surveys probe the late-time Universe where the density field is highly non-Gaussian. A consequence is the emergence of the super-sample covariance (SSC), a non-G…
preparation: XV. Forecasting cosmological constraints for the and CMB joint analysis
Euclid Collaboration, S. Ilić, N. Aghanim +207
The combination and cross-correlation of the upcoming data with cosmic microwave background (CMB) measurements is a source of great expectation since it will provide the l…