20 citations · 167 across the 61 of their papers we have counts for
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Euclid Structural-Thermal-Optical Performance
Euclid Collaboration, A. Anselmi, R. Laureijs +290
The Euclid system performance is defined in terms of image quality metrics tuned to the weak gravitational lensing (WL) cosmological probe. WL induces stringent requirements on the…
Euclid preparation. Overview of Euclid infrared detector performance from ground tests
Euclid Collaboration, B. Kubik, R. Barbier +341
The paper describes the objectives, design and findings of the pre-launch ground characterisation campaigns of the Euclid infrared detectors. The pixel properties, including baseli…
Euclid VI. NISP-P optical ghosts
Euclid Collaboration, K. Paterson, M. Schirmer +309
The Near-Infrared Spectrometer and Photometer (NISP) onboard Euclid includes several optical elements in its path, which introduce artefacts into the data from non-nominal light pa…
Euclid preparation: The NISP spectroscopy channel, on ground performance and calibration
Euclid Collaboration, W. Gillard, T. Maciaszek +356
ESA's Euclid cosmology mission relies on the very sensitive and accurately calibrated spectroscopy channel of the Near-Infrared Spectrometer and Photometer (NISP). With three opera…
Euclid Quick Data Release (Q1): From spectrograms to spectra: the SIR spectroscopic Processing Function
Euclid Collaboration, Y. Copin, M. Fumana +348
The Euclid space mission aims to investigate the nature of dark energy and dark matter by mapping the large-scale structure of the Universe. A key component of Euclid's observation…
Euclid Quick Data Release (Q1): From images to multiwavelength catalogues: the Euclid MERge Processing Function
Euclid Collaboration, E. Romelli, M. Kümmel +345
The Euclid satellite is an ESA mission that was launched in July 2023. \Euclid is working in its regular observing mode with the target of observing an area of $14\,000~\text{deg}^…
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: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field
R. Pearce-Casey, B. C. Nagam, J. Wilde +204
The Euclid Wide Survey (EWS) is predicted to find approximately 170 000 galaxy-galaxy strong lenses from its lifetime observation of 14 000 deg^2 of the sky. Detecting this many le…
LeMoN: Lens Modelling with Neural networks -- I. Automated modelling of strong gravitational lenses with Bayesian Neural Networks
Fabrizio Gentile, Crescenzo Tortora, Giovanni Covone +4
The unprecedented number of gravitational lenses expected from new-generation facilities such as the ESA Euclid telescope and the Vera Rubin Observatory makes it crucial to rethink…