62 citations · 279 across the 11 of their papers we have counts for
6 papers · 1 filter
Euclid preparation. XXIX. Water ice in spacecraft part I: The physics of ice formation and contamination
Euclid Collaboration, M. Schirmer, K. Thürmer +218
Molecular contamination is a well-known problem in space flight. Water is the most common contaminant and alters numerous properties of a cryogenic optical system. Too much ice mea…
Euclid preparation. XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration
Euclid Collaboration, K. Paterson, M. Schirmer +201
The Euclid mission will conduct an extragalactic survey over 15000 deg of the extragalactic sky. The spectroscopic channel of the Near-Infrared Spectrometer and Photometer (NIS…
Euclid preparation: XXVIII. Modelling of the weak lensing angular power spectrum
Euclid Collaboration, A. C. Deshpande, T. Kitching +200
This work considers which higher-order effects in modelling the cosmic shear angular power spectra must be taken into account for Euclid. We identify which terms are of concern, an…
Euclid preparation. XXX. Performance assessment of the NISP Red-Grism through spectroscopic simulations for the Wide and Deep surveys
Euclid Collaboration, L. Gabarra, C. Mancini +232
This work focuses on the pilot run of a simulation campaign aimed at investigating the spectroscopic capabilities of the Euclid Near-Infrared Spectrometer and Photometer (NISP), in…
Euclid preparation. XXXII. Evaluating the weak lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations
Euclid Collaboration, C. Giocoli, M. Meneghetti +213
The photometric catalogue of galaxy clusters extracted from ESA Euclid data is expected to be very competitive for cosmological studies. Using state-of-the-art hydrodynamical simul…
Euclid Preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics
Euclid Collaboration, V. Ajani, M. Baldi +211
Recent cosmic shear studies have shown that higher-order statistics (HOS) developed by independent teams now outperform standard two-point estimators in terms of statistical precis…