KIT | KIT-Bibliothek | Impressum | Datenschutz

Online Estimation of Particle Track Parameters based on Neural Networks for the Belle II Trigger System

Baehr, Steffen; Unger, Kai Lukas; Becker, Juergen; Meggendorfer, Felix; Skambraks, Sebastian; Kiesling, Christian

The Belle II particle accelerator experiment is experiencing substantial background from outside of the interaction point. To avoid taking data representing this background, track parameters are estimated within the pipelined and dead time-free level 1 trigger system of the experiment and used to suppress such events. The estimation of a particle track's origin with respect to the z-Axis, which is along the beamline, is performed by the neural z-Vertex trigger. This system is estimating the origin or z-Vertex using a trained multilayer perceptron, leveraging the advantages of training to current circumstances of operation. In order fulfil the requirements set by the overall trigger system it has to provide the estimation within an overall latency of 5 us while matching a refresh rate of up to 31.75 for new track estimations. The focus of this contribution is this system' current status. For this both implementation and integration into the level 1 trigger will be presented, supported by first data taken during operation as well as figures of merit such as latency and resource consumption. In addition its upgrade plan for the near future will be presented. ... mehr

Open Access Logo

Verlagsausgabe §
DOI: 10.5445/IR/1000129630
Veröffentlicht am 12.02.2021
DOI: 10.22323/1.372.0010
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technik der Informationsverarbeitung (ITIV)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 07.2020
Sprache Englisch
Identifikator ISSN: 1824-8039
KITopen-ID: 1000129630
Erschienen in Proceedings of Artificial Intelligence for Science, Industry and Society — PoS(AISIS2019)
Veranstaltung Symposium Artificial Intelligence for Science, Industry and Society (AISIS 2019), Mexiko-Stadt, Mexiko, 20.10.2019 – 25.12.2019
Verlag Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Seiten 010
Serie Proceedings of Science ; 372
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page