2005/07/25 by M. Ambrosio, C. Aramo, C. Donalek +7
Physics and Astronomy · #Astronomy #Astrophysics #Astrophysics and Cosmic Phenomena #COSMIC cancer database #Composition (language) #Cosmic ray #Dark Matter and Cosmic Phenomena #Neutrino Physics Research #Physics #Primary (astronomy) #astro-ph
paper · pdf · doi:10.1016/j.astropartphys.2005.07.008
published as Astropart.Phys.24:355-371,2005 · 22 pages, 11 figures, accepted by Astroparticle Physics, minor misprints and an extra figure removed
arxiv created 2005/07/25 · openalex publication_date 2005/09/17 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The determination of the primary cosmic ray mass composition from the longitudinal development of atmospheric cascades is still a debated issue. In this work we discuss several data analysis methods and show that if the entire information contained in the longitudinal profile is exploited, reliable results may be obtained. Among the proposed methods FCC ('Fit of the Cascade Curve'), MTA ('Multiparametric Topological Analysis') and NNA ('Neural Net Analysis') with conjugate gradient optimization algorithm give the best accuracy.