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A model-based clustering approach for mass composition analysis of high energy cosmic rays
Institution:1. INAF – Osservatorio Astrofisico di Catania, Italy;2. Department of Economics and Business, University of Catania, Italy;1. Department of Physics and Astronomy, University of Catania, Italy;2. INFN, Sezione di Catania, Italy;3. INAF, Osservatorio Astrofisico di Catania, Catania, Italy;4. STMicroelectronics, Catania, Italy;5. CERN, Geneva, Switzerland;6. INFN, Laboratorio Nazionale del Sud, Catania, Italy;1. INAF - Osservatorio Astrofisico di Catania, Italy;2. CERN, Geneva, Switzerland;3. INFN Sezione di Catania, Catania, Italy;4. STMicroelectronics, Catania, Italy;5. Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy;6. INFN Laboratori Nazionali del Sud, Catania, Italy;1. Institució Catalana de Recerca i Etudes Avançats (ICREA), Spain;2. Departament d’Estructura i Constituents de la Matèria and Institut de Ciencies del Cosmos, Universitat de Barcelona, Diagonal 647, E-08028 Barcelona, Spain;3. C.N. Yang Institute for Theoretical Physics, and Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794-3840, USA;4. Wisconsin IceCube Particle Astrophysics Center and Department of Physics, University of Wisconsin, Madison, WI 53706, USA;1. Institute of Physics, Academia Sinica, Taipei 11529, Taiwan;2. Department of Physics, Banaras Hindu University, Varanasi 221005, India;3. Department of Physics, Dokuz Eylül University, Buca, ?zmir 35160, Turkey;4. Department of Engineering Physics, Tsinghua University, Beijing 100084, China;5. Department of Physics, Sichuan University, Chengdu 610065, China;6. Department of Physics, Nankai University, Tianjin 300071, China
Abstract:
Keywords:Cosmic rays  Mass composition  Clustering  Depth of maximum  Number of muons  Skew-t mixture models
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