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We present the first hybrid measurement of the average muon number in air showers at ultra-high energies, initiated by cosmic rays with zenith angles between 62° and 80° . Our measurement is based on 174 hybrid events recorded simultaneously with the Surface Detector array and the Fluorescence Detector of the Pierre Auger Observatory. The muon number for each shower is derived by scaling a simulated reference profile of the lateral muon density distribution at the ground until it fits the data. A 1019 eV shower with a zenith angle of 67°, which arrives at the Surface Detector array at an altitude of 1450 m above sea level, contains on average (2.68 ± 0.04 ± 0.48 (sys.)) × 107 muons with energies larger than 0.3 GeV. Finally, the logarithmic gain d ln Nμ/d ln E of muons with increasing energy between 4 × 1018 eV and 5 × 1019 eV is measured to be (1.029 ± 0.024 ± 0.030 (sys.)).
Ultra-high-energy cosmic rays (UHECR) are particles of uncertain origin and composition, with energies above 1 EeV (1018 eV or 0.16 J). The measured flux of UHECR is a steeply decreasing function of energy. The largest and most sensitive apparatus built to date to record and study cosmic ray Extensive Air Showers (EAS) is the Pierre Auger Observatory. The Pierre Auger Observatory has produced the largest and finest amount of data ever collected for UHECR. A broad physics program is being carried out covering all relevant topics of the field. Among them, one of the most interesting is the problem related to the estimation of the mass composition of cosmic rays in this energy range. Currently the best measurements of mass are those obtained by studying the longitudinal development of the electromagnetic part of the EAS with the Fluorescence Detector. However, the collected statistics is small, specially at energies above several tens of EeV. Although less precise, the volume of data gathered with the Surface Detector is nearly a factor ten larger than the fluorescence data. So new ways to study composition with data collected at the ground are under investigation. The subject of this thesis follows one of those new lines of research. Using preferentially the time information associated with the muons that reach the ground, we try to build observables related to the composition of the primaries that initiated the EAS. A simple phenomenological model relates the arrival times with the depths in the atmosphere where muons are produced. The experimental confirmation that the distributions of muon production depths (MPD) correlate with the mass of the primary particle has opened the way to a variety of studies, of which this thesis is a continuation, with the aim of enlarging and improving its range of applicability. We revisit the phenomenological model which is at the root of the analysis and discuss a new way to improve some aspects of the model. We carry out a thorough revision of the original analysis with the aim of understanding the different contributions to the total bias and resolution when building MPDs on an event-by-event basis. We focus on an alternative way to build MPDs by considering average MPDs for ensembles of air-showers, with the aim of enlarging the range of applicability of this kind of analysis. Finally, we analyze how different improvements in the Surface Detector electronics and its internal configuration affect the resolution of the MPD. We conclude by summarizing the main results and discussing potential ways to improve MPD-based mass composition studies.
Extensive cosmic ray research has been performed over the course of the last century, yet the origin of the highest energy cosmic rays remains unknown. One way progress is made towards determining the origin of these ultra-high energy charged particles is through precise measurements of their mass composition. However, the highest energy cosmic rays must be detected indirectly via cosmic ray air showers. Therefore the mass of the primary cosmic ray must be derived from information of air shower observables sensitive to the primary particle mass. Specifically, these mass sensitive observables include the depth of shower maximum, and parameters related to the relative size of the muonic component of the air shower. In this thesis, CORSIKA simulations of cosmic ray air showers are used to study the separation power between proton and iron primary cosmic rays, based on combined knowledge of various mass sensitive observables. Specifically, the energy and zenith dependence of observables are investigated in relation to their impact on the proton-iron separation power. For the IceCube Neutrino Observatory, the difference in separation power between high energy penetrating muons and low energy surface muons is investigated. Additionally, the effect of low energy surface muons on proton-iron separation power was studied for the Pierre Auger Observatory and compared to the low energy surface muon separation power obtained from IceCube.
The handbook centers on detection techniques in the field of particle physics, medical imaging and related subjects. It is structured into three parts. The first one is dealing with basic ideas of particle detectors, followed by applications of these devices in high energy physics and other fields. In the last part the large field of medical imaging using similar detection techniques is described. The different chapters of the book are written by world experts in their field. Clear instructions on the detection techniques and principles in terms of relevant operation parameters for scientists and graduate students are given.Detailed tables and diagrams will make this a very useful handbook for the application of these techniques in many different fields like physics, medicine, biology and other areas of natural science.
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