Neutrinos from the Milky Way

intelligence. Deep neural networks, for example," says Dr. Tim Ruhe, astroparticle physicist and data science expert at TU Dortmund University. "Neural networks, once trained, have a comparatively short and [...] final data set (about 84%) consist of atmospheric neutrinos. In order to still be able to extract a signal, statistical methods are used at this point to estimate the background based on the data itself [...] about 20 times more neutrinos with an angular resolution improved by a factor of two in our final data set. For the analysis, this means that we are about three times more sensitive," said Mirco Hünnefeld …