📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Euclid preparation. Deep learning true galaxy morphologies for weak lensing shear bias calibration (2024)

First Author: Euclid Collaboration

Attributed to: Lancaster University Observational Astrophysics 2021-2024 funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2409.07528

Publication URI: https://arxiv.org/abs/2409.07528

Type: Preprint