1.2k citations · 6.2k across the 88 of their papers we have counts for
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UFig v1: The ultra-fast image generator
Silvan Fischbacher, Beatrice Moser, Tomasz Kacprzak +8
With the rise of simulation-based inference (SBI) methods, simulations need to be fast as well as realistic. is a public Python package that simulates astronomic…
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
D. Huppenkothen, M. Ntampaka, M. Ho +19
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of…
Fast Point Spread Function Modeling with Deep Learning
Jörg Herbel, Tomasz Kacprzak, Adam Amara +2
Modeling the Point Spread Function (PSF) of wide-field surveys is vital for many astrophysical applications and cosmological probes including weak gravitational lensing. The PSF sm…
The DES Science Verification Weak Lensing Shear Catalogues
M. Jarvis, E. Sheldon, J. Zuntz +92
We present weak lensing shear catalogues for 139 square degrees of data taken during the Science Verification (SV) time for the new Dark Energy Camera (DECam) being used for the Da…
GalSim: The modular galaxy image simulation toolkit
Barnaby Rowe, Mike Jarvis, Rachel Mandelbaum +12
GALSIM is a collaborative, open-source project aimed at providing an image simulation tool of enduring benefit to the astronomical community. It provides a software library for gen…