T 59: Neutrino Astronomy III
Mittwoch, 18. März 2026, 16:15–18:30, KS H C
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16:15 |
T 59.1 |
Extending the Advanced Northern Tracks Selection with Energy Uncertainty Estimation — •Lasse Düser, Shuyang Deng, Sönke Schwirn, Philipp Soldin, Christopher Wiebusch, and Marco Zimmermann for the IceCube collaboration
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16:30 |
T 59.2 |
Event reconstruction for different detector geometries in a toy simulation of water-Cherenkov neutrino telescopes — •Franziska Kirchner for the IceCube collaboration
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16:45 |
T 59.3 |
Approximating Photon Propagation in Ice Using Generative Neural Networks — •Amith Ashwath Narayan for the IceCube collaboration
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17:00 |
T 59.4 |
Advanced Northern Tracks Selection using a Graph Convolutional Neural Network for the IceCube Neutrino Observatory — •Philipp Soldin, Shuyang Deng, Lasse Düser, Sönke Schwirn, Christopher Wiebusch, and Marco Zimmermann
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17:15 |
T 59.5 |
Adapting the Advanced Northern Tracks Selections Neural Network for the IceCube Upgrade — •Sönke Schwirn, Shuyang Deng, Lasse Düser, Hasti Maghsoudipour, Philipp Soldin, Christopher Wiebusch, and Marco Zimmermann for the IceCube collaboration
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17:30 |
T 59.6 |
The Pacific-Ocean Neutrino Experiment Design Optimization with Machine-Learning — •Kristian Tchiorniy and Lukas Heinrich for the P-ONE collaboration
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17:45 |
T 59.7 |
Neural Network-based DAQ System for in-ice Radio Detection of Neutrinos for RNO-G and IceCube-Gen2 — •Adam Rifaie for the RNO-G collaboration
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18:00 |
T 59.8 |
Neural Network Tools for the IceCube-Gen2 Optical Array — •Francisco Javier Vara Carbonell and Alexander Kappes for the IceCube collaboration
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18:15 |
T 59.9 |
Combined Likelihood Analysis for Supernova Hunting — •Thilo Birkenfeld, Achim Stahl, and Christopher Wiebusch
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