71 citations · 113 across the 4 of their papers we have counts for
6 papers
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…
Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events
Euclid Collaboration, L. Leuzzi, M. Meneghetti +216
Forthcoming imaging surveys will potentially increase the number of known galaxy-scale strong lenses by several orders of magnitude. For this to happen, images of tens of millions…
Euclid preparation: VII. Forecast validation for Euclid cosmological probes
Euclid Collaboration, A. Blanchard, S. Camera +151
The Euclid space telescope will measure the shapes and redshifts of galaxies to reconstruct the expansion history of the Universe and the growth of cosmic structures. Estimation of…
Euclid preparation III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection
Euclid Collaboration, R. Adam, M. Vannier +56
Galaxy cluster counts in bins of mass and redshift have been shown to be a competitive probe to test cosmological models. This method requires an efficient blind detection of clust…
Euclid Preparation IV. Impact of undetected galaxies on weak-lensing shear measurements
Euclid Collaboration, N. Martinet, T. Schrabback +22
In modern weak-lensing surveys, the common approach to correct for residual systematic biases in the shear is to calibrate shape measurement algorithms using simulations. These sim…
Euclid preparation: II. The EuclidEmulator -- A tool to compute the cosmology dependence of the nonlinear matter power spectrum
Euclid Collaboration, Mischa Knabenhans, Joachim Stadel +12
We present a new power spectrum emulator named EuclidEmulator that estimates the nonlinear correction to the linear dark matter power spectrum. It is based on a spectral decomposit…