Hamburg 2016 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 107: Trigger und DAQ IV
T 107.2: Vortrag
Donnerstag, 3. März 2016, 17:00–17:15, VMP11 HS
The Neural Network z-vertex Trigger for the Belle II Detector — •Sebastian Skambraks1, Sara Neuhaus1, Yang Chen2, and Christian Kiesling2 for the Belle II collaboration — 1Technische Universität München — 2Max-Planck-Institut für Physik, München
We present a neural network based first level track trigger for the upcoming Belle II detector at the high luminosity SuperKEKB flavor factory. Using hit and drift time information from the Central Drift Chamber (CDC), neural networks estimate the z-coordinates of single track vertex positions. Especially beam induced background, with vertices outside of the interaction region, can clearly be rejected. This allows to relax the track trigger conditions and thus enhances the efficiency for events with a low track multiplicity.
In the CDC trigger pipeline, the preceding 2D pattern recognition enables a unique per track input representation and a sectorization of the track parameter phase space. The precise z-vertices are then estimated by an ensemble of sector-specific local expert neural networks. After an introduction to the neural trigger system, the benefits of an improved 3D pattern recognition will be discussed.