8 citations · 36 across the 91 of their papers we have counts for
96 papers · 1 filter
Validation of optical pathlength stability in a LISA test-bench demonstrator
Shivani Harer, Maxime Vincent, Hubert Halloin +40
The Laser Interferometer Space Antenna (LISA) observatory is a future L3 mission of the European Space Agency (ESA) to detect gravitational waves, set to launch in 2035. The detect…
Euclid: Photometric redshift calibration with self-organising maps
W. Roster, A. H. Wright, H. Hildebrandt +173
The Euclid survey aims to trace the evolution of cosmic structures up to redshift 3 and beyond. Its success depends critically on obtaining highly accurate mean redshift…
Euclid Quick Data Release (Q1): VIS processing and data products
Euclid Collaboration, H. J. McCracken, K. Benson +377
This paper describes the VIS Processing Function (VIS PF) of the Euclid ground segment pipeline, which processes and calibrates raw data from the VIS camera. We present the algorit…
Euclid preparation. Review of forecast constraints on dark energy and modified gravity
Euclid Collaboration, N. Frusciante, M. Martinelli +326
The Euclid mission has been designed to provide, as one of its main deliverables, information on the nature of the gravitational interaction, which determines the expansion of the…
Euclid: Quick Data Release (Q1) -- A photometric search for ultracool dwarfs in the Euclid Deep Fields
M. Žerjal, C. Dominguez-Tagle, N. Vitas +178
We present a catalogue of 5306 new ultracool dwarf (UCD) candidates in the three Euclid Deep Fields in the Q1 data release. They range from late M to late T dwarfs, and include 120…
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…