3 citations · 3 across the 12 of their papers we have counts for
12 papers
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 Quick Data Release (Q1): The impact of AGN emission on SED-derived physical properties
Euclid Collaboration, B. Laloux, A. Bongiorno +309
The Euclid Quick Data Release (Q1) is a powerful dataset to study active galactic nuclei (AGN) and their host galaxies. Deriving their physical properties through multi-component s…
Euclid preparation. Probing galaxy evolution within cosmic voids in Euclid-like simulations
Euclid Collaboration, G. Papini, O. Cucciati +294
The evolution of galaxies is profoundly influenced by the environment in which they reside. Cosmic voids serve as pristine laboratories for studying galaxy evolution in the relativ…
Euclid preparation: Testing multi-field inflation with galaxy power spectrum and bispectrum
Euclid Collaboration, D. Linde, A. Moradinezhad Dizgah +281
Primordial non-Gaussianity (PNG) is a powerful probe of the origin of cosmic structure. Stage-IV surveys like \Euclid will measure galaxy - and -point clustering at high sign…
\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. CosmoPostProcess: A simulation calibrated framework for weak lensing selection bias in richness-selected galaxy clusters
Euclid Collaboration, R. Ingrao, M. Costanzi +280
We present \texttt{CosmoPostProcess}, a simulation-based forward-modelling algorithm calibrated to reproduce Euclid optical cluster observables. Its main deliverable is a correctio…
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. 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 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…
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. 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…