Mainz 2014 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 45: DAQ, Trigger, Elektronik 2

T 45.2: Vortrag

Montag, 24. März 2014, 17:00–17:15, GFH 01-731

Clustering Algorithm for the Belle II Pixel Detector Read-Out Hardware — •Dmytro Levit, Igor Konorov, Yunpeng Bai, Martin Gottwald, and Stephan Paul for the Belle II collaboration — Physikdepartment E18, Technische Universität München

The upgrade of the Belle experiment and the KEKB accelerator aims to increase the experimental data set by the factor 50. A new pixel detector based on the DEPFET technology is one of the requirements to handle the increased reaction rate and provide better vertex resolution. With the expected detector occupancy of about 2%, the detector will generate about 22 GB/s of data. A custom two level FPGA based data read-out system of the Belle II pixel detector, the Data Handling Hybrid, was developed. The system receives raw data, pre-process them, searches for clusters and sends data to the second level where the sub-events are built from the data of five incoming data links on the basis of trigger number. One of the important function of the system is the search for adjacent hits. The clustered data are important for data reduction algorithms aiming to filter background events. The adjacent hits are found by the algorithm and assigned with the preliminary cluster numbers. Then the cluster number are remapped. The algorithm is implemented in pipeline and is able to process online the data stream of the pixel detector. The clustering algorithm is able to reconstruct clusters with arbitrary topology. The status of the data read-out system and the clustering algorithm will be presented in the talk. This work is supported by the Federal Ministry of Education and Research and by the Excellence Cluster Universe.