Würzburg 2018 –
wissenschaftliches Programm
T 16: GRID Computing / Experimentelle Methoden I
Montag, 19. März 2018, 16:00–18:30, Z6 - SR 2.006
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16:00 |
T 16.1 |
Dynamic Integration and Scheduling of Opportunistic Resources — •Matthias Jochen Schnepf, Christoph Heidecker, Manuel Giffels, and Günter Quast
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16:15 |
T 16.2 |
VISPA: Multi-user access to deep learning infrastructure for physics research — •Ralf Florian von Cube, Martin Erdmann, Benjamin Fischer, Robert Fischer, Erik Geiser, Christian Glaser, Thorben Quast, Marcel Rieger, Felix Schlüter, and Martin Urban
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16:30 |
T 16.3 |
Systematic Uncertainties In Machine Learning Based Analyses — Raphael Friese, Günter Quast, Roger Wolf, Sebastian Wozniewski, and •Stefan Wunsch
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16:45 |
T 16.4 |
Advantages of caching concepts for HEP analysis work-flows — •Christoph Heidecker, Matthias Schnepf, Max Fischer, Manuel Giffels, and Günter Quast
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17:00 |
T 16.5 |
Integration of a heterogeneous compute resource in the ATLAS workflow — •Felix Bührer, Anton Gamel, and Markus Schumacher
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17:15 |
T 16.6 |
Study of breakdown voltage from current-voltage characteristic of SiPM — •Ayesha Ali, Reimund Bayerlien, Ivor Fleck, Waleed Khalid, and Ulrich Werthenbach
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17:30 |
T 16.7 |
Parameterization-based Tracking for the P2 experiment. — •Iurii Sorokin
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17:45 |
T 16.8 |
Bestimmung von Ausschlussgrenzen mit GammaCombo — Johannes Albrecht, Alexander Battig, Matthew W. Kenzie, •Titus Mombächer und Stefanie Reichert
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18:00 |
T 16.9 |
Momentum transfer reconstruction for the P2 Experiment — •Alexey Tyukin for the P2 collaboration
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18:15 |
T 16.10 |
In-situ calibration of the single photo-electron charge distributions of the PMTs in IceCube — •Martin Rongen and Martin Leuermann for the IceCube collaboration
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