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Georges Meylan

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Georges Meylan

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Euclid: Validation of the MontePython forecasting tools

Euclid: The search for primordial features

Euclid: Improving the efficiency of weak lensing shear bias calibration

XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear

Euclid preparation XXXVI. Modelling the weak lensing angular power spectrum

Euclid preparation XXXVII. Galaxy colour selections with Euclid and ground photometry for cluster weak-lensing analyses

Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations

Euclid preparation XXII. Selection of quiescent galaxies from mock photometry using machine learning

Euclid preparation XXIV. Calibration of the halo mass function in λ(ν)CDM cosmologies

Euclid preparation - XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images