27 citations · 109 across the 16 of their papers we have counts for
4 papers · 1 filter
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…
Deep Transfer Learning for Blended Source Identification in Galaxy Survey Data
S. Farrens, A. Lacan, A. Guinot +1
We present BlendHunter, a proof-of-concept for a deep transfer learning based approach for the automated and robust identification of blended sources in galaxy survey data. We take…
Impact of Point Spread Function Higher Moments Error on Weak Gravitational Lensing
Tianqing Zhang, Rachel Mandelbaum, The LSST Dark Energy Science Collaboration
Weak gravitational lensing is one of the most powerful tools for cosmology, while subject to challenges in quantifying subtle systematic biases. The Point Spread Function (PSF) can…
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…