activity
20162025
most citedEuclid: Identification of asteroid streaks in simulated images using deep learning

15 citations · 34 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.GA20257 cited

Euclid: Early Release Observations -- The surface brightness and colour profiles of the far outskirts of galaxies in the Perseus cluster

M. Mondelin, F. Bournaud, J. -C. Cuillandre +110

The Perseus field captured by Euclid as part of its Early Release Observations provides a unique opportunity to study cluster environment ranging from outskirts to dense regions. L…

astro-ph.IM2024

SOLARNET Metadata Recommendations for Simulated Data

Stein Vidar Haugan, Terje Fredvik

Until the advent of the SOLARNET recommendations, metadata sharing of simulated data within the Solar Physics community has been mostly on a "private communication" basis, with the…

astro-ph.CO2024

Euclid: Improving the efficiency of weak lensing shear bias calibration. Pixel noise cancellation and the response method on trial

H. Jansen, M. Tewes, T. Schrabback +118

To obtain an accurate cosmological inference from upcoming weak lensing surveys such as the one conducted by Euclid, the shear measurement requires calibration using galaxy image s…

astro-ph.EP202315 cited

Euclid: Identification of asteroid streaks in simulated images using deep learning

M. Pöntinen, M. Granvik, A. A. Nucita +114

Up to 150000 asteroids will be visible in the images of the ESA Euclid space telescope, and the instruments of Euclid offer multiband visual to near-infrared photometry and slitles…

astro-ph.CO202112 cited

Euclid: Covariance of weak lensing pseudo- estimates. Calculation, comparison to simulations, and dependence on survey geometry

R. E. Upham, M. L. Brown, L. Whittaker +102

An accurate covariance matrix is essential for obtaining reliable cosmological results when using a Gaussian likelihood. In this paper we study the covariance of pseudo- es…

astro-ph.IM2016

The design strategy of scientific data quality control software for Euclid mission

Massimo Brescia, Stefano Cavuoti, Terje Fredvik +7

The most valuable asset of a space mission like Euclid are the data. Due to their huge volume, the automatic quality control becomes a crucial aspect over the entire lifetime of th…