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SUMMARY:New statistical parameters for mass composition studies with energ
 y above $10^{17}$ eV
DTSTART;VALUE=DATE-TIME:20070704T194500Z
DTEND;VALUE=DATE-TIME:20070704T194500Z
DTSTAMP;VALUE=DATE-TIME:20260713T070654Z
UID:indico-contribution-616@cern.ch
DESCRIPTION:Speakers: Dr. DE SOUZA\, Vitor (University of Karlsruhe)\nIn t
 his work we investigate new statistical parameters to infer the mass compo
 sition\nof high energy cosmic rays above $10^{17}$ eV.\nTrying to overcome
  the difficulties imposed by large fluctuations and limited\nexperimental 
 observables\, we present a statistical method for composition studies\nbas
 ed on several measurable features of the longitudinal and lateral developm
 ent of\nthe air shower. \nPrincipal component analysis (PCA) and linear di
 scriminant analysis (LDA) were used\nto combine the different parameters a
 nd to maximize the discrimination between\ndifferent primary particle show
 ers. In this contribution we compare the discrimation\npower of the new pr
 oposed methods with the traditional ones used in cosmic ray\nstudies. The 
 work is based on Monte Carlo simulations and the difference between\nprogr
 ams is also presented.\n\nhttps://indico.nucleares.unam.mx/event/4/session
 /8/contribution/616
LOCATION:Merida\, Mexico Regency (Hyatt)
URL:https://indico.nucleares.unam.mx/event/4/session/8/contribution/616
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