135 citations · 235 across the 6 of their papers we have counts for
6 papers
Deep learning-based radiointerferometric imaging with GAN-aided training
F. Geyer, K. Schmidt, J. Kummer +7
Radio interferometry invariably suffers from an incomplete coverage of the spatial Fourier space, which leads to imaging artifacts. The current state-of-the-art technique is to cre…
Morphological Classification of Radio Galaxies with wGAN-supported Augmentation
Lennart Rustige, Janis Kummer, Florian Griese +7
Machine learning techniques that perform morphological classification of astronomical sources often suffer from a scarcity of labelled training data. Here, we focus on the case of…
Radio Galaxy Classification with wGAN-Supported Augmentation
Janis Kummer, Lennart Rustige, Florian Griese +6
Novel techniques are indispensable to process the flood of data from the new generation of radio telescopes. In particular, the classification of astronomical sources in images is…
Simulations of core formation for frequent dark matter self-interactions
Janis Kummer, Marcus Brüggen, Klaus Dolag +2
We present the first -body simulations that adapt the equations of smoothed particle hydrodynamics to capture the effect of dark matter self-interactions which are too frequent…
Effective description of dark matter self-interactions in small dark matter haloes
Janis Kummer, Felix Kahlhoefer, Kai Schmidt-Hoberg
Self-interacting dark matter may have striking astrophysical signatures, such as observable offsets between galaxies and dark matter in merging galaxy clusters. Numerical N-body si…
On the interpretation of dark matter self-interactions in Abell 3827
Felix Kahlhoefer, Kai Schmidt-Hoberg, Janis Kummer +1
Self-interactions of dark matter particles can potentially lead to an observable separation between the dark matter halo and the stars of a galaxy moving through a region of large…