The Neuro-Z-Vertex Trigger of the Belle II Experiment

A neural network z vertex trigger is planned for the upcoming Belle II detector at the SuperKEKB collider. This neural algorithm is based on a single track 3D parameter estimation using only hit and drift time information from the central drift chamber. Due to the high luminosity (L = 8 × 1035 cm−2...

Full description

Saved in:
Bibliographic Details
Main Authors: Skambraks, Sebastian, Neuhaus, Sara, Kiesling, Christian
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Cosmic rays
Drift
Image reconstruction
Luminosity
Neural networks
Pair production
Parameter estimation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A neural network z vertex trigger is planned for the upcoming Belle II detector at the SuperKEKB collider. This neural algorithm is based on a single track 3D parameter estimation using only hit and drift time information from the central drift chamber. Due to the high luminosity (L = 8 × 1035 cm−2 s−1) Belle II will have to face high levels of beam induced background, making a z vertex reconstruction at the first level trigger mandatory. Using the neural z vertex algorithm, the requirements of the standard track trigger can be strongly relaxed. By this, the trigger efficiencies, especially for low multiplicity events, e.g. τ pair production, can be significantly increased. This contribution presents the foreseen neural network trigger setup and the preceding 2D track finder. Special focus is put on the proposal and evaluation of a possible 3D upgrade of the 2D track finder. Additionally, details are given on a dedicated setup for the upcoming cosmic ray test.
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/201612700016