Speaker
Description
An inverse method for the calculation of particle fluxes from space radiation monitor data is presented. The GenCORUM (Genetic Correlative Unfolding Method) employs tools from the fields of Artificial Intelligence and Machine Learning and manages to provide physically meaningful differential spectra of proton and electron fluxes in wide energy ranges with high energy resolution. Results are shown from the analysis of data from ESA’s Standard Radiation Environment Monitor (SREM) on board the INTEGRAL mission. Of particular interest is the derivation of electron fluxes in energies E ≥ 2 MeV which show good agreement with data from the Magnetic Electron Ion Spectrometer (MagEIS) and the Relativistic Electron Proton Telescope (REPT) which are scientific instruments on board the Van Allen Probes mission.
