12 papers
Euclid. Properties and performance of the NISP signal estimator
Euclid Collaboration, F. Cogato, B. Kubik +292
The Euclid spacecraft, located at the second Lagrangian point of the Sun-Earth system, hosts the Near-Infrared Spectrometer and Photometer (NISP) instrument. NISP is equipped with…
Euclid: Galaxy SED reconstruction in the PHZ processing function: impact on the PSF and the role of medium-band filters
Euclid Collaboration, F. Tarsitano, C. Schreiber +301
Weak lensing surveys require accurate correction for the point spread function (PSF) when measuring galaxy shapes. For a diffraction-limited PSF, as arises in space-based missions,…
Euclid preparation. Calibrated intrinsic galaxy alignments in the Euclid Flagship simulation
Euclid Collaboration, K. Hoffmann, R. Paviot +298
Intrinsic alignments of galaxies are potentially a major contaminant of cosmological analyses of weak gravitational lensing. We construct a semi-analytic model of galaxy ellipticit…
Euclid preparation. Testing analytic models of galaxy intrinsic alignments in the Euclid Flagship simulation
Euclid Collaboration, R. Paviot, B. Joachimi +293
We model intrinsic alignments (IA) in Euclid's Flagship simulation to investigate its impact on Euclid's weak lensing signal. Our IA implementation in the Flagship simulation takes…
Euclid preparation. Galaxy 2-point correlation function modelling in redshift space
Euclid Collaboration, M. Kärcher, M. -A. Breton +309
The Euclid satellite will measure spectroscopic redshifts for tens of millions of emission-line galaxies. In the context of Stage-IV surveys, the 3-dimensional clustering of galaxi…
Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data
Euclid Collaboration, N. E. P. Lines, T. E. Collett +301
In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…