Speaker
Description
The DArk Matter Particle Explorer (DAMPE) is a satellite-borne experiment, in operation since 2015, aimed at studying high-energy cosmic rays and gammas. Protons are the most abundant element in cosmic rays. Given their smaller interaction cross-sections with the interstellar medium (compared to heavier nuclei), they can travel larger distances, thereby becoming important probes to cosmic-ray sources as well as acceleration and propagation mechanisms. Recently, in the DAMPE collaboration, machine learning (ML) techniques were developed and deployed to improve particle tracking and identification as well as compensate for the energy lost in the calorimeter at high energies due to the saturation of the electronics. This work presents an updated measurement of the energy spectrum of cosmic-ray protons, introducing the application of the above-mentioned ML techniques, thus leading to an extension at higher energies.
