| Summary: | Abstract: Important information pertaining to the origin of high-energy cosmic rays can be gained by studying their mass composition in the region of the knee ( ∼ 3 PeV). Thus, air showers have been ob-served at the South Pole using the SPASE-2 detector, which measures the electronic component at the surface, and the AMANDA-II neutrino telescope, which measures the coincident muonic component in deep ice. These two components, together with a Monte Carlo simulation and a well-understood analysis method, yield the relative cosmic ray composition in the knee region. We report on the efficacy of a new neural network technique for obtaining a composition result with the SPASE-2/AMANDA-II detectors.
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