Publication type: Refereed

  • Publication
    Euclid preparation. V. Predicted yield of redshift 7 < z < 9 quasars from the wide survey
    We provide predictions of the yield of 7 < z < 9 quasars from the Euclid wide survey, updating the calculation presented in the Euclid Red Book in several ways...
  • Publication
    Euclid preparation. VI. Verifying the performance of cosmic shear experiments
    Aims: Our aim is to quantify the impact of systematic effects on the inference of cosmological parameters from cosmic shear. Methods: We present an "end-to-end"...
  • Publication
    Euclid preparation. VI. Verifying the Performance of Cosmic Shear Experiments (Corrigendum)
  • Publication
    Euclid preparation. VII. Forecast validation for Euclid cosmological probes
    Aims: 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...
  • Publication
    Euclid preparation. VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release
    The Complete Calibration of the Colour-Redshift Relation survey (C3R2) is a spectroscopic effort involving ESO and Keck facilities designed specifically to...
  • Publication
    Euclid preparation. X. The Euclid photometric-redshift challenge
    Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main...
  • Publication
    Euclid preparation. XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography
    The analysis of weak gravitational lensing in wide-field imaging surveys is considered to be a major cosmological probe of dark energy. Our capacity to...
  • Publication
    Euclid preparation. XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses
    Photometric redshifts (photo-zs) are one of the main ingredients in the analysis of cosmological probes. Their accuracy particularly affects the results of the...
  • Publication
    Euclid preparation. XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models
    We present a machine learning framework to simulate realistic galaxies for the Euclid Survey, producing more complex and realistic galaxies than the analytical...