Orateur
Description
The SP@M (for Solar Particles @ Mars) instrument onboard M-MATISSE will measure Solar Energetic Particles (SEPs, protons and electrons) throughout the Martian magnetosphere and atmosphere. While most of today's on-board instruments discriminate particles using coincidence processing between 2 or more silicon detectors arranged as a telescope, SP@M proposes to use a single thick silicon detector and to discriminate particle types (mainly electrons, protons and alphas ) using digital processing based on charge carrier collection time proportional to particle penetration length inside the detector. However, the first tests show that discriminating particles types can be challenging, particularly at low energies, as there is a confusion zone where electrons and protons have the same energies and collection times. We have investigated different Machine learning algorithms to take advantage of the difference of the pulse shapes between the particles types. We report their efficiency in discrimination and regression and we discuss the possibility of performing such a discrimination onboard a satellite.
