Münster 2017 – wissenschaftliches Programm
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HK: Fachverband Physik der Hadronen und Kerne
HK 33: Instrumentation VII
HK 33.8: Vortrag
Mittwoch, 29. März 2017, 18:45–19:00, F 072
Parallel Algorithms for Online Trackfinding at PANDA — •Ludovico Bianchi1, Andreas Herten2, James Ritman1, and Tobias Stockmanns1 for the PANDA collaboration — 1IKP — 2JSC, Forschungszentrum Jülich GmbH, Germany
The PANDA experiment, one of the four scientific pillars of the FAIR facility under construction in Darmstadt, is a next-generation particle detector that will study collisions of antiprotons with beam momenta of 1.5–15 GeV/c on a fixed proton target.
Because of its broad physics scope and the similar signature of signal and background events in the energy region of interest, PANDA’s strategy for data acquisition is to continuously record data from the entire detector and use this global information to perform online event reconstruction and selection. A real-time rejection factor of up to 1000 is required to match the incoming data rate to the available offline storage.
Online particle track identification and reconstruction is an essential step, since track information is used as input in all following phases. Online tracking algorithms must ensure a delicate balance between high tracking efficiency and quality, and minimal computational footprint. To satisfy these requirements, a solution based on massively parallel algorithms running on hardware processors such as Graphic Processing Units (GPUs) is under investigation.
The talk will present the core concepts of the novel algorithms being developed for primary trackfinding, along with performance measurements of their physical and computational parameters.