24 citations · 24 across the 1 of their papers we have counts for
2 papers
astro-ph.CO2017★ 24 cited
Cosmological model discrimination with Deep Learning
Jorit Schmelzle, Aurelien Lucchi, Tomasz Kacprzak +4
We demonstrate the potential of Deep Learning methods for measurements of cosmological parameters from density fields, focusing on the extraction of non-Gaussian information. We co…
astro-ph.IM2012
An Ultra Fast Image Generator (UFig) for wide-field astronomy
Joel Bergé, Lukas Gamper, Alexandre Réfrégier +1
Simulated wide-field images are becoming an important part of observational astronomy, either to prepare for new surveys or to test measurement methods. In order to efficiently exp…