181 citations · 370 across the 17 of their papers we have counts for
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astro-ph.GA2018★ 4 cited
Sharpening up Galactic all-sky maps with complementary data - A machine learning approach
Ancla Müller, Moritz Hackstein, Maksim Greiner +4
Galactic all-sky maps at very disparate frequencies, like in the radio and -ray regime, show similar morphological structures. This mutual information reflects the imprint of th…
astro-ph.IM2018★ 6 cited
Inferring Galactic magnetic field model parameters using IMAGINE - An Interstellar MAGnetic field INference Engine
Theo Steininger, Torsten A. Enßlin, Maksim Greiner +7
Context. The Galactic magnetic field (GMF) has a huge impact on the evolution of the Milky Way. Yet currently there exists no standard model for it, as its structure is not fully u…