output
20172025
most citedEuclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

166 citations

Showing 2024Show all

9 papers · 1 filter

astro-ph.CO2024

Euclid preparation: 6x2 pt analysis of Euclid's spectroscopic and photometric data sets

Euclid Collaboration, L. Paganin, M. Bonici +252

We present cosmological parameter forecasts for the Euclid 6x2pt statistics, which include the galaxy clustering and weak lensing main probes together with previously neglected cro…

astro-ph.GA2024★ 13 cited

Euclid: Early Release Observations -- Unveiling the morphology of two Milky Way globular clusters out to their periphery

D. Massari, E. Dalessandro, D. Erkal +158

As part of the Euclid Early Release Observations (ERO) programme, we analyse deep, wide-field imaging from the VIS and NISP instruments of two Milky Way globular clusters (GCs), na…

astro-ph.CO2024★ 12 cited

Euclid preparation. LIII. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling

Euclid Collaboration, G. Congedo, L. Miller +239

LensMC is a weak lensing shear measurement method developed for Euclid and Stage-IV surveys. It is based on forward modelling in order to deal with convolution by a point spread fu…

astro-ph.CO2024★ 3 cited

Euclid: Testing photometric selection of emission-line galaxy targets

M. S. Cagliari, B. R. Granett, L. Guzzo +144

Multi-object spectroscopic galaxy surveys typically make use of photometric and colour criteria to select targets. Conversely, the Euclid NISP slitless spectrograph will record spe…

astro-ph.GA2024★ 5 cited

Euclid preparation. Optical emission-line predictions of intermediate-z galaxy populations in GAEA for the Euclid Deep and Wide Surveys

Euclid Collaboration, L. Scharré, M. Hirschmann +239

In anticipation of the Euclid Wide and Deep Surveys, we present optical emission-line predictions at intermediate redshifts from 0.4 to 2.5. Our approach combines a mock light cone…

astro-ph.GA2024★ 17 cited

Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning

Euclid Collaboration, B. Aussel, S. Kruk +255

The Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep…

astro-ph.CO2024

Euclid: Improving the efficiency of weak lensing shear bias calibration. Pixel noise cancellation and the response method on trial

H. Jansen, M. Tewes, T. Schrabback +118

To obtain an accurate cosmological inference from upcoming weak lensing surveys such as the one conducted by Euclid, the shear measurement requires calibration using galaxy image s…

astro-ph.CO2024★ 1 cited

Euclid preparation XLVI. The Near-IR Background Dipole Experiment with Euclid

Euclid Collaboration, A. Kashlinsky, R. G. Arendt +217

Verifying the fully kinematic nature of the cosmic microwave background (CMB) dipole is of fundamental importance in cosmology. In the standard cosmological model with the Friedman…

astro-ph.CO2024★ 10 cited

Euclid preparation: XLVIII. The pre-launch Science Ground Segment simulation framework

Euclid Collaboration, S. Serrano, P. Hudelot +274

The European Space Agency's Euclid mission is one of the upcoming generation of large-scale cosmology surveys, which will map the large-scale structure in the Universe with unprece…