Gießen 2024 –
wissenschaftliches Programm
HK 1: Computing I
Montag, 11. März 2024, 16:45–18:30, HBR 14: HS 1
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16:45 |
HK 1.1 |
Volunteer computing in HEP: PoUW blockchain for CBM — •Felix Hoffmann and Udo Kebschull
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17:00 |
HK 1.2 |
Brute-force Minimization Approach for Alignment in CBM — •Nora Bluhme for the CBM collaboration
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17:15 |
HK 1.3 |
Exploring the Effects of Longitudinally Polarized Electrons on the Degree of Linear Polarization of Crystalline Bremsstrahlung — •Leoniedas Reschke for the CBELSA/TAPS collaboration
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17:30 |
HK 1.4 |
Simulating ultra cold neutron storage and lifetime measurement in a fully magnetic trap — •Sylvain Vanneste for the tauSPECT collaboration
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17:45 |
HK 1.5 |
Applying TGeoArbN based tessellation in CBM geometry description* — •Simon Neuhaus
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18:00 |
HK 1.6 |
Multi-particle Reconstruction in Detector Data using object-centric Machine Learning — •Sara Aumiller, Nicole Hartman, Lukas Heinrich, Florian Kaspar, Karina-Sânziana Stelea, Stefan Wallner, Dominik Ecker, Luise Meyer-Hetling, Andrii Maltsev, and Thomas Pöschl
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18:15 |
HK 1.7 |
Machine Learning Algorithms for Pattern Recognition with the PANDA Barrel DIRC — •Yannic Wolf, Roman Dzhygadlo, Klaus Peters, Georg Schepers, Carsten Schwarz, and Jochen Schwiening for the PANDA collaboration
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