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4 papers · 2 filters
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…
High-order wavefront sensing and control for the Roman Coronagraph Instrument (CGI): architecture and measured performance
Eric Cady, Nicholas Bowman, Alexandra Z. Greenbaum +10
The Nancy Grace Roman Space Telescope (``Roman'') is a 2.4m space telescope scheduled for a 2026 launch. The Coronagraph Instrument (CGI) on Roman is a technology-demonstration ins…
Performance of the image persistence model for Euclid infrared detectors
B. Kubik, R. Barbier, G. Smadja +99
Large-format infrared detectors are at the heart of major ground and space-based astronomical instruments, and the HgCdTe HxRG is the most widely used. The Near Infrared Spectromet…
Deep learning to improve the discovery of near-Earth asteroids in the Zwicky Transient Facility
Belén Yu Irureta-Goyena, George Helou, Jean-Paul Kneib +7
We present a novel pipeline that uses a convolutional neural network (CNN) to improve the detection capability of near-Earth asteroids (NEAs) in the context of planetary defense. O…