Speaker
Margita Majerčáková
(CTU FNSPE)
Description
The number of muons in air showers is one of the most important parameters linked to the mass of a primary particle. The knowledge of the mass composition is the key input required for verifying the astrophysical models describing the acceleration and propagation of cosmic rays. This talk will be devoted to the application of machine learning for the extraction of the muon component of the signal recorded by the water Cherenkov detectors of the Pierre Auger Observatory.
Primary author
Margita Majerčáková
(CTU FNSPE)
