283 citations · 2.4k across the 83 of their papers we have counts for
7 papers · 1 filter
INSPIRE: INvestigating Stellar Population In RElics -- VII. The local environment of ultra-compact massive galaxies
Diana Scognamiglio, Chiara Spiniello, Mario Radovich +15
Relic galaxies, the oldest ultra-compact massive galaxies (UCMGs), contain almost exclusively "pristine" stars formed during an intense star formation (SF) burst at high redshift.…
Euclid preparation: Determining the weak lensing mass accuracy and precision for galaxy clusters
Euclid Collaboration, L. Ingoglia, M. Sereno +279
We investigate the level of accuracy and precision of cluster weak-lensing (WL) masses measured with the \Euclid data processing pipeline. We use the DEMNUni-Cov -body simulatio…
Euclid preparation. Exploring the properties of proto-clusters in the Simulated Euclid Wide Survey
Euclid Collaboration, H. Böhringer, G. Chon +263
Galaxy proto-clusters are receiving an increased interest since most of the processes shaping the structure of clusters of galaxies and their galaxy population are happening at ear…
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…
Euclid preparation. XLII. A unified catalogue-level reanalysis of weak lensing by galaxy clusters in five imaging surveys
Euclid Collaboration, M. Sereno, S. Farrens +221
Precise and accurate mass calibration is required to exploit galaxy clusters as astrophysical and cosmological probes in the Euclid era. Systematic errors in lensing signals by gal…
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…