Glaser Lab

Dortmund University of Technology

Nordrhein-Westfalen (DEA) · Germany

ERC-funded
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ERC Starting Grant · 2023

Optimization of Radio Detectors of Ultra-High-Energy Neutrinos through Deep Learning and Differential Programming

Detection of neutrinos at ultra-high energies (UHE, E >10^17eV) would be one of the most important breakthroughs in astroparticle physics in the 21st century and would open a new window to the most violent phenomena in our universe. Radio detection remains the only viable technique at these energies. However, owing to the expected small flux of UHE neutrinos, the detection rate will be small, with just a handful of events per year, even for large future facilities like the IceCube-Gen2 neutrino observatory at the South Pole. In this project, I will enhance the science capabilities of UHE neutrino detectors substantially by increasing the detection rate of neutrinos and improving the quality…

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