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Type: Theses
Title: Extracting a less model dependent cosmic ray composition from Xmax distributions
Author: Blaess, Simon Garry
Issue Date: 2018
School/Discipline: School of Physical Sciences
Abstract: Knowledge of the acceleration mechanisms, possible sources and arrival direction distribution of ultra high energy cosmic rays can be furthered by increasing our understanding of the cosmic ray mass composition. The Pierre Auger Observatory measures the depth of shower maximum (Xmax [max subscript]) of ultra high energy cosmic rays, an observable which is sensitive to the mass of the cosmic ray, and often analysed in mass composition studies. At ultra high energies, the results of mass composition studies depend strongly on the particle interaction predictions of the assumed hadronic interaction model. A novel approach to reduce the model dependency in the interpretation of the mass composition will be outlined in this thesis. The Xmax [max subscript] predictions of the models were parameterised in terms of the primary mass. The mass composition fractions and some of the parameterisation coefficients are then fitted to the data, resulting in a mass composition estimate which is of reduced model dependency. The results of this approach applied to Pierre Auger Observatory data are presented.
Advisor: Bellido Caceres, Jose Alfredo
Dawson, Bruce Robert
Dissertation Note: Thesis (Ph.D.) -- University of Adelaide, School of Physical Sciences, 2018
Keywords: Cosmic rays
Pierre Auger Observatory
Provenance: This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at
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