8 citations · 16 across the 9 of their papers we have counts for
10 papers
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…
Improved recipes for peculiar velocity power spectra using Evolution Mapping
Matteo Esposito, Ariel G. Sánchez, Julien Bel +1
We present new fitting functions for the velocity divergence auto- and cross-power spectra, and , calibrated on gravity-only -body simulations. By applyin…
\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. Testing template-fitting models for the multipoles of the two-point clustering of galaxy clusters
Euclid Collaboration, E. Tsaprazi, A. Fumagalli +274
The Euclid satellite will deliver a catalogue of optically selected galaxy clusters spanning from around 2000 deg in Data Release (DR) 1 to around deg in DR3. In…
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. 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: LXXXVII. Non-Gaussianity of 2-point statistics likelihood: Precise analysis of the matter power spectrum distribution
Euclid Collaboration, J. Bel, S. Gouyou Beauchamps +281
We investigate the non-Gaussian features in the distribution of the matter power spectrum multipoles. Using the COVMOS method, we generate 100\,000 mock realisations of dark matter…
Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe
Marco Bonici, Guido D'Amico, Julien Bel +1
We present the official release of the EFfective Field theORy surrogaTe (Effort), a novel and efficient emulator designed for the Effective Field Theory of Large-Scale Structure (E…
Evolution mapping II: describing statistics of the non-linear cosmic velocity field
Matteo Esposito, Ariel G. Sánchez, Julien Bel +1
We extend the evolution mapping approach, originally proposed by Sanchez (2022) to describe non-linear matter density fluctuations, to statistics of the cosmic velocity field. This…