242 citations · 1.3k across the 98 of their papers we have counts for
8 papers · 1 filter
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. 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…
Learned harmonic mean estimation of the Bayesian evidence with normalizing flows
Alicja Polanska, Matthew A. Price, Davide Piras +2
We present the learned harmonic mean estimator with normalizing flows - a robust, scalable and flexible estimator of the Bayesian evidence for model comparison. Since the estimator…
class_sz I: Overview
B. Bolliet, A. Kusiak, F. McCarthy +16
class_sz is a versatile and robust code in C and Python that can compute theoretical predictions for a wide range of observables relevant to cross-survey science in the Stage IV er…