Dark Machines

Dark Machines

Dark Machines (www.darkmachines.org) is an initiative to develop and apply machine learning methods to accelerate dark matter searches. It is composed of more than 300 high-energy physicists, astroparticle physicists and astrophysicists, from theory and experiment, as well as computer scientists. In this effort the novelty is to make use of methods of machine learning, on issues related to the detection of dark matter, in particle accelerators like LHC with ATLAS and CMS experiments, in direct detection experiments in underground experiments, like XENON-1T, or in indirect experiments with satellites, such as Fermi-LAT or AMS, neutrino telescopes such as KM3NeT, etc. In addition, data related to gravitational effects of dark matter in the distribution of matter in our galaxy from the GAIA satellite is explored.