272 citations · 1.2k across the 137 of their papers we have counts for
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Euclid preparation: TBD. The impact of line-of-sight projections on the covariance between galaxy cluster multi-wavelength observable properties -- insights from hydrodynamic simulations
Euclid Collaboration, A. Ragagnin, A. Saro +240
Cluster cosmology can benefit from combining multi-wavelength studies, which can benefit from characterising the correlation coefficients between different mass-observable relation…
Euclid preparation. Simulations and nonlinearities beyond CDM. 1. Numerical methods and validation
Euclid Collaboration, J. Adamek, B. Fiorini +268
To constrain models beyond CDM, the development of the Euclid analysis pipeline requires simulations that capture the nonlinear phenomenology of such models. We present an overv…
Euclid preparation. L. Calibration of the linear halo bias in CDM cosmologies
Euclid Collaboration, T. Castro, A. Fumagalli +253
The Euclid mission, designed to map the geometry of the dark Universe, presents an unprecedented opportunity for advancing our understanding of the cosmos through its photometric g…
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…
Euclid preparation LXXI. Simulations and nonlinearities beyond CDM. 3. Constraints on models from the photometric primary probes
Euclid Collaboration, K. Koyama, S. Pamuk +275
We study the constraint on gravity that can be obtained by photometric primary probes of the Euclid mission. Our focus is the dependence of the constraint on the theoretical…
Euclid preparation LXIII. Simulations and nonlinearities beyond CDM. 2. Results from non-standard simulations
Euclid Collaboration, G. Rácz, M. -A. Breton +275
The Euclid mission will measure cosmological parameters with unprecedented precision. To distinguish between cosmological models, it is essential to generate realistic mock observa…