Karlsruhe 2024 –
wissenschaftliches Programm
T 36: Gamma astronomy 2
Dienstag, 5. März 2024, 16:00–18:00, Geb. 30.22: kl. HS A
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16:00 |
T 36.1 |
Automatized Pulsar Analysis for the MAGIC Telescopes — •Jan Lukas Schubert and Stefan Fröse for the MAGIC collaboration
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16:15 |
T 36.2 |
The contribution has been withdrawn.
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16:30 |
T 36.3 |
Deep-Learning-Based Gamma/Hadron Separation in the Southern Wide-field Gamma-ray Observatory — •Martin Schneider, Jonas Glombitza, Christopher van Eldik, and Markus Pirke for the SWGO collaboration
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16:45 |
T 36.4 |
Modelling Supernova Remnant Spectra to Predict their Detectability by the Southern Wide-field Gamma-ray Observatory — •Nick Scharrer, Alison Mitchell, and Vikas Joshi for the SWGO collaboration
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17:00 |
T 36.5 |
Optimization of the image cleaning performance of H.E.S.S. telescopes — •Jelena Celic, Stefan Funk, Rodrigo Guedes Lang, Simon Steinmaßl, and Jim Hinton for the H.E.S.S. collaboration
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17:15 |
T 36.6 |
A hybrid machine learning-likelihood approach to event reconstruction for IACTs — •Georg Schwefer, Robert Parsons, and Jim Hinton for the CTA collaboration
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17:30 |
T 36.7 |
Providing Uncertainty Predictions for Reconstructed CTA Events Using Neural Networks — •Cyrus Walther and Maximilian Linhoff for the CTA collaboration
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17:45 |
T 36.8 |
Ultra-Fast Generation of Air Shower Images for Imaging Air Cherenkov Telescopes using Generative Models — •Christian Elflein, Jonas Glombitza, and Stefan Funk for the H.E.S.S. collaboration
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