7 papers
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 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. Full-shape modelling of 2-point and 3-point correlation functions in real space
Euclid Collaboration, M. Guidi, A. Veropalumbo +308
We investigate the accuracy and range of validity of the perturbative model for the 2-point (2PCF) and 3-point (3PCF) correlation functions in real space in view of the forthcoming…
Euclid preparation. BAO analysis of photometric galaxy clustering in configuration space
Euclid Collaboration, V. Duret, S. Escoffier +286
With about 1.5 billion galaxies expected to be observed, the very large number of objects in the Euclid photometric survey will allow for precise studies of galaxy clustering from…
Euclid preparation. 3-dimensional galaxy clustering in configuration space. Part I. 2-point correlation function estimation
Euclid Collaboration, S. de la Torre, F. Marulli +297
The 2-point correlation function of the galaxy spatial distribution is a major cosmological observable that enables constraints on the dynamics and geometry of the Universe. The Eu…
Euclid preparation. LIII. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling
Euclid Collaboration, G. Congedo, L. Miller +239
LensMC is a weak lensing shear measurement method developed for Euclid and Stage-IV surveys. It is based on forward modelling in order to deal with convolution by a point spread fu…