114 citations · 554 across the 137 of their papers we have counts for
23 papers · 1 filter
Point spread function wavefront recovery from in-focus stellar observations
Ezequiel Centofanti, Samuel Farrens, Jean-Luc Starck +1
Recovering the wavefront error (WFE) field of an optical system from intensity in-focus observations is a challenging inverse problem with broad implications for telescope point sp…
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. 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…
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…
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…
Generative imaging for radio interferometry with fast uncertainty quantification
Matthijs Mars, Tobías I. Liaudat, Jessica J. Whitney +2
With the rise of large radio interferometric telescopes, particularly the SKA, there is a growing demand for computationally efficient image reconstruction techniques. Existing rec…
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…
Breaking the degeneracy in stellar spectral classification from single wide-band images
Ezequiel Centofanti, Samuel Farrens, Jean-Luc Starck +3
The spectral energy distribution (SED) of observed stars in wide-field images is crucial for chromatic point spread function (PSF) modelling methods, which use unresolved stars as…
Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry
Mostafa Cherif, Tobías I. Liaudat, Jonathan Kern +2
The advent of next-generation radio interferometers like the Square Kilometer Array promises to revolutionise our radio astronomy observational capabilities. The unprecedented volu…
Euclid. III. The NISP Instrument
Euclid Collaboration, K. Jahnke, W. Gillard +434
The Near-Infrared Spectrometer and Photometer (NISP) on board the Euclid satellite provides multiband photometry and R>=450 slitless grism spectroscopy in the 950-2020nm wavelength…
Euclid. IV. The NISP Calibration Unit
Euclid Collaboration, F. Hormuth, K. Jahnke +332
The near-infrared calibration unit (NI-CU) on board Euclid's Near-Infrared Spectrometer and Photometer (NISP) is the first astronomical calibration lamp based on light-emitting dio…
Euclid. II. The VIS Instrument
Euclid Collaboration, M. S. Cropper, A. Al-Bahlawan +432
This paper presents the specification, design, and development of the Visible Camera (VIS) on the ESA Euclid mission. VIS is a large optical-band imager with a field of view of 0.5…
Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging
Tobías I. Liaudat, Matthijs Mars, Matthew A. Price +3
Next-generation radio interferometers like the Square Kilometer Array have the potential to unlock scientific discoveries thanks to their unprecedented angular resolution and sensi…
Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies
Tobias Liaudat, Jean-Luc Starck, Martin Kilbinger
The accurate modelling of the Point Spread Function (PSF) is of paramount importance in astronomical observations, as it allows for the correction of distortions and blurring cause…
ShapePipe: A modular weak-lensing processing and analysis pipeline
S. Farrens, A. Guinot, M. Kilbinger +8
We present the first public release of ShapePipe, an open-source and modular weak-lensing measurement, analysis, and validation pipeline written in Python. We describe the design o…
Rethinking data-driven point spread function modeling with a differentiable optical model
Tobias Liaudat, Jean-Luc Starck, Martin Kilbinger +1
In astronomy, upcoming space telescopes with wide-field optical instruments have a spatially varying point spread function (PSF). Specific scientific goals require a high-fidelity…
Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model
Tobias Liaudat, Jean-Luc Starck, Martin Kilbinger +1
We propose a paradigm shift in the data-driven modeling of the instrumental response field of telescopes. By adding a differentiable optical forward model into the modeling framewo…
Multi-CCD Point Spread Function Modelling
T. Liaudat, J. Bonnin, J. -L. Starck +4
Galaxy imaging surveys observe a vast number of objects that are affected by the instrument's Point Spread Function (PSF). Weak lensing missions, in particular, aim at measuring th…