24 citations · 81 across the 23 of their papers we have counts for
5 papers · 1 filter
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…
EMU and Euclid: Detection of a radio-optical galaxy clustering cross-correlation signal between the Evolutionary Map of the Universe and Euclid
G. Piccirilli, B. Bahr-Kalus, S. Camera +173
Synergies between large-scale radio-continuum and optical/near-infrared galaxy surveys are a powerful tool for cosmology. Cross-correlating these surveys can constrain the redshift…
Euclid: Quick Data Release (Q1) -- Ultracool dwarfs in the Euclid Deep Fields
A. Mohandasan, R. L. Smart, C. Reylé +180
Ultracool dwarfs (UCDs) encompass the lowest-mass stars and brown dwarfs at the substellar boundary. These intrinsically faint objects are challenging to detect, but the wide cover…
Searching for strong lensing by late-type galaxies in UNIONS
J. A. Acevedo Barroso, B. Clément, F. Courbin +8
Recent wide-field galaxy surveys have led to an explosion in the number of galaxy-scale strong gravitational lens candidates. However, the vast majority of them feature massive lum…
Euclid: Optimising tomographic redshift binning for 32pt power spectrum constraints on dark energy
J. H. W. Wong, M. L. Brown, C. A. J. Duncan +136
We present a simulation-based method to explore the optimum tomographic redshift binning strategy for 3x2pt analyses with Euclid, focusing on the expected configuration of its firs…