Abstract
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 × 10 35 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.
Highlights
The Belle II experiment [1] is an upgrade of the successful Belle [2] flavor physics experiment
Belle II consists of a high precision pixel detector (PXD) as innermost detector, followed by the silicon vertex detector (SVD)
A z vertex trigger is essential for the Belle II experiment in order to cope with the huge beam background levels coming along with the luminosity upgrade
Summary
The Belle II experiment [1] is an upgrade of the successful Belle [2] flavor physics experiment. It is located in Tsukuba, Japan at the upgraded asymmetric e+ e− collider SuperKEKB. Belle II consists of a high precision pixel detector (PXD) as innermost detector, followed by the silicon vertex detector (SVD). The third detector shell is the central drift chamber (CDC), a wire chamber with 56 layers of sense wires. The CDC is the main tracking device of Belle II. The outer detector shells comprise calorimeters (ECL), Cherenkov counters (A-RICH), time-of-propagation counters (TOP) and a kaon and muon detecor (KLM). More details on the Belle II experiment can be found in [1]
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