| Title: | Mass composition of ultra-high energy cosmic rays at the Pierre Auger Observatory |
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| Authors: | ID Filipčič, Andrej (Mentor) More about this mentor... 
ID Kukec Mezek, Gašper (Author) |
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| Files: |  Gasper_Kukec_Mezek.pdf (17,53 MB)
MD5: AADDCB33956051BAF4BE3DB8BBC011D6
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| Language: | English |
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| Work type: | Doctoral dissertation |
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| Typology: | 2.08 - Doctoral Dissertation |
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| Organization: | FPŠ - Graduate School
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| Abstract: | Cosmic rays with energies above 10^18 eV, usually referred to as ultra-high energy cosmic rays (UHECR), have been a mystery from the moment they have been discovered. Although we have now more information on their extragalactic origin, their direct sources still remain hidden due to deviations caused by galactic magnetic fields. Another mystery, apart from their production sites, is their nature. Their mass composition, still uncertain at these energies, would give us a better understanding on their production, acceleration, propagation and capacity to produce extensive air showers in the Earth's atmosphere. Mass composition studies of UHECR try to determine their nature from the difference in development of their extensive air showers.
In this work, observational parameters from the hybrid detection system of the Pierre Auger Observatory are used in a multivariate analysis to obtain the mass composition of UHECR. The multivariate analysis (MVA) approach combines a number of mass composition sensitive variables and tries to improve the separation between different UHECR particle masses. Simulated distributions of different primary particles are fitted to measured observable distributions in order to determine individual elemental fractions of the composition. When including observables from the surface detector, we find a discrepancy in the estimated mass composition between a mixed simulation sample and the Pierre Auger data. Our analysis results from the Pierre Auger data are to a great degree independent on hadronic interaction models. Although they differ at higher primary masses, the different models are more consistent, when combining fractions of oxygen and iron. Compared to previously published results, the systematic uncertainty from hadronic interaction models is roughly four times smaller. Our analysis reports a predominantly heavy composition of UHECR, with more than a 50% fraction of oxygen and iron at low energies. The composition is then becoming heavier with increasing energy, with a fraction of oxygen and iron above 80% at the highest energies. |
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| Keywords: | astroparticle physics, ultra-high energy cosmic rays, extensive air showers, mass composition, Pierre Auger Observatory, machine learning, multivariate analysis |
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| Place of publishing: | Nova Gorica |
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| Year of publishing: | 2019 |
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| PID: | 20.500.12556/RUNG-4436-cc0f95e6-da8a-93b3-642f-3396ef3e5b95 |
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| COBISS.SI-ID: | 5364987 |
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| NUK URN: | URN:SI:UNG:REP:GBBOIKUY |
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| Publication date in RUNG: | 03.04.2019 |
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| Views: | 6082 |
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| Downloads: | 194 |
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| Metadata: |    |
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