11 citations
- Centre National de la Recherche ScientifiqueFR73 papers
- California Institute of TechnologyUS67 papers
- Royal ObservatoryGB67 papers
- University of EdinburghGB66 papers
- Sorbonne UniversitéFR64 papers
- Astronomical Observatory of RomeIT62 papers
- Infrared Processing and Analysis CenterUS62 papers
- Jet Propulsion LaboratoryUS62 papers
- Durham UniversityGB61 papers
- Instituto de Astrofísica de CanariasES61 papers
- Max Planck Institute for Extraterrestrial PhysicsDE61 papers
- Université Paris CitéFR61 papers
6 papers · 1 filter
Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems
Euclid Collaboration, S. H. Vincken, K. Rojas +302
We present AstroVink, a vision transformer classifier designed for automated identification of strong lens candidates in Euclid imaging. We build upon the DINOv2 encoder, fine tune…
Euclid: An automated system to match Rubin transient alerts to Euclid observations
C. Duffy, I. M. Hook, C. M. Gutierrez +150
The Vera C. Rubin observatory is expected to produce 10 million transient alerts per night in ugrizy filters, whilst Euclid is a visible to near-infrared space telescope engaged in…
The Case for Space: Estimating Precise Time Delays from Ground- and Space-Based Observations of Lensed Supernovae with Glimpse
Erin E. Hayes, Suhail Dhawan, Stephen Thorp +2
The delay in arrival time of the multiple images of gravitationally lensed supernovae (glSNe) can be related to the present-day expansion rate of the universe, . Despite the…
Euclid. Properties and performance of the NISP signal estimator
Euclid Collaboration, F. Cogato, B. Kubik +292
The Euclid spacecraft, located at the second Lagrangian point of the Sun-Earth system, hosts the Near-Infrared Spectrometer and Photometer (NISP) instrument. NISP is equipped with…
Computing the Electronic Gain for Detectors Read Out Up-The-Ramp
Timothy D. Brandt
The electronic gain -- the conversion between photoelectrons on a pixel and the digital number recorded to disk -- gives physical units to an astronomical image and sets the relati…
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…