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Update Research Topics
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Jan 13, 2020
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Thomas Bretz
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<li>
Astroparticle physics
<li>
Quest for the still unknown origin and acceleration of cosmic rays
<li>
Measurement of the spectrum and composition of cosmic-rays
<li>
Upgrade on-going for a better determination of the primary particle type
<li>
Upgrade ongoing for a better determination of the primary particle type
<li>
Where do Ultra-High Energy cosmic-rays come from?
<li>
Which process is responsible for their acceleration?
</ul>
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<summary>
Possible topics for Bachelor- and Master-theses
</summary>
<blockquote>
<ul>
<li>
Chemical composition using AugerPrime and Deep Learning
<li>
Anylsis of the performance of a novel prototype array using SiPMs
<li>
Search for ultra-high energetic photons using AugerPrime
<li>
Is the GZK effect responsible for the cut-off at the highest energies? Chemical composition using AugerPrime and Deep Learning
<li>
Is the galactic center responsible for cosmic-rays on Earth? Search for UHE Photons with machine learning
</ul>
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<li>
Astronomy at TeV energies
<li>
Possible origin of cosmic-rays: Active Galactic Nuclei
<li>
Time evolution of their spectrum (monitoring)
<li>
What drives the violent behavior of these objects?
<li>
What process is responsible for the energy transfer?
</ul>
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<summary>
Possible topics for Bachelor- and Master-theses
</summary>
<blockquote>
<ul>
<li>
Improved background suppression using Deep Learning
<li>
Improved energy resolution using Deep Learning
<li>
Search for periodicity in Active Galactic Nuclei
<li>
Programming of an online database for flux-data of Active Galactic Nuclei
<li>
Analytical description of the zenith-angle dependent trigger-rate
<li>
Implementation of a database-driven data analysis
<li>
Search for triggered transient events: Improved background suppression using Deep Learning
<li>
How does the spectrum change with flux? Improved energy resolution using Deep Learning
<li>
Never seen before: Search for periodicity in Active Galactic Nuclei
</ul>
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<summary>
Possible topics for Bachelor- and Master-theses
</summary>
<blockquote>
<ul>
<li>
Improvement of Background suppression and Energy resolultion using Deep Learning
<li>
Simulation of the performance of the first Hybrid Detector
<li>
First hybrid measurement of the Crab Nebula using an array of three telescope
<li>
Calibration measurements of the water tanks using a scintillator detector
<li>
What is the performance we get from the hybrid system? Improvement of Background suppression and Energy resolution using Deep Learning
<li>
First detection of a source in the hybrid setup: First hybrid measurement of the Crab Nebula
</ul>
</blockquote>
</details>
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