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Verlagsausgabe
DOI: 10.5445/IR/1000079164
Originalveröffentlichung
DOI: 10.1088/1742-6596/664/9/092001

Online-Analysis of Hits in the Belle-II Pixeldetector for Separation of Slow Pions from Background

Baehr, S.; Sander, O.; Heck, M.; Pulvermacher, C.; Feindt, M.; Becker, J.

Abstract:
The impending Upgrade of the Belle experiment is expected to increase the generated data set by a factor of 50. This means that for the planned pixeldetector, which is the closest to the interaction point, the data rates are going to increase to over 20 GB/s. Combined with data generated by the other detectors, this rate is too big to be efficiently send out to offline processing. This is makes the employment of online data reduction schemes necessary, in which background is detected and rejected in order to reduce the data rates. In this paper an approach for efficient online data reduction for the planned pixeldetector of Belle-II is presented. The approach centers around the usage of an algorithm, the NeuroBayes, that is based on multivariate analysis, allowing the identification of signal and background by analysing clusters of hits in the pixeldetector on FPGAs. The algorithm is leveraging the fact that hits of signal particles can have very different characteristics, compared to background, when passing through the pixeldetector. The applicability and advantages in performance are shown through the D* decay. In Belle-II these ... mehr


Zugehörige Institution(en) am KIT Institut für Technik der Informationsverarbeitung (ITIV)
Publikationstyp Zeitschriftenaufsatz
Jahr 2015
Sprache Englisch
Identifikator ISSN: 1742-6588, 1742-6596
URN: urn:nbn:de:swb:90-791648
KITopen ID: 1000079164
Erschienen in Journal of physics / Conference Series
Band 664
Heft 9
Seiten Art.Nr. 092001
Bemerkung zur Veröffentlichung 21st International Conference on Computing in High Energy and Nuclear Physics, CHEP 2015; Okinawa; Japan; 13 April 2015 through 17 April 2015
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