16 papers
Euclid Quick Data Release (Q1): The geometry of dark matter halos from extragalactic streams
Euclid Collaboration, N. Starkman, J. Nibauer +295
Wide-field surveys like Euclid mark a new era of extragalactic stellar stream studies. With a large number of streams, it is now possible to constrain the dark matter halos of gala…
Euclid. Populating a dark universe with galaxies using SciPIC
Euclid Collaboration, E. J. Gonzalez, J. Carretero +305
High-fidelity galaxy mocks are crucial for validating analysis pipelines and for cosmological inference. In this context, the Science Pipeline at PIC (SciPIC) is a pipeline specifi…
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. 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 Quick Data Release (Q1). LEMON -- Lens Modelling with Neural networks. Automated and fast modelling of Euclid gravitational lenses with a singular isothermal ellipsoid mass profile
Euclid Collaboration, V. Busillo, C. Tortora +312
The Euclid mission aims to survey around 14000 deg^{2} of extragalactic sky, providing around 10^{5} gravitational lens images. Modelling of gravitational lenses is fundamental to…
Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 6: Impact of systematic uncertainties on the cosmological analysis
Euclid Collaboration, L. Blot, K. Tanidis +309
Extracting cosmological information from the Euclid galaxy survey will require modelling numerous systematic effects during the inference process. This implies varying a large numb…