BELLE II

News

News 03/2021: Neuronale Netzwerk Trigger für das Belle II Experiment operationsfähig

Weiterführende Links:

https://twitter.com/belle2collab/status/1368061620023259137?s=20

https://www.mpp.mpg.de/aktuelles/meldungen/detail/meilenstein-bei-belle-ii-detektor-nimmt-seinen-platz-im-beschleunigerring-ein

Introduction

The ITIV is participating in the research of novel concepts for electronics used at the most capable particle detectors around the world, these include the Belle II detector of the high luminosity collider Super KEKb at the KEK in Tsukuba, Japan, the Compressed Baryonic Matter (CBM) experiment located at GSI Darmstadt, and the Compact Muon Solenoid of the Large Hadron Collider (LHC) at CERN, Swiss. Doctoral researches at ITIV are primarily engaged in the development of FPGA designs for high speed data processing close to the detectors in order to reduce the generated amount of data at an early stage and the development of systems and interfacing components for the synchronization of electronics present in the data acquisition system of detectors.

Data Reduction

New methodologies and architectures for data reduction are investigated for the Detector Experiments at ITIV. In context of the Belle II experiment they will contribute to the selection of low-energetic particles like pions, which would be lost otherwise. To achieve effective selection, Machine learning algorithms are implemented on FPGAs. The implementation on high-end FPGAs allows meeting the requirements on real-time and quality at comparably low resource utilization.
Partners : Blue Yonder, IEKP-KIT, TU München, Uni Giessen, Japan's High Energy Accelerator Research Organization (KEK)

 Belle II PXD/SVD Workshop with ITIV Researcher

Belle II 3D Model

Pattern Recognition

To keep pace with the upcoming upgrade of the LHC it is planned to extend the CMS to feature a track trigger that generates an acceptance signal in case an interesting event occurs. One way of generating that signal is by comparing input trajectories with predefined interesting trajectories that are stored in data banks. This corresponds to conducting pattern recognition. At the ITIV an efficient memory architecture based on Look-up-Tables is designed and evaluated for future application in the upgraded CMS.

Partners: IPE-KIT, CERN 

             

CMS Silicon Tracker                             CMS Detector                                      CMS Cabling

 

Timing and Synchronisation

In particle detectors it is of very high importance to be able to put data generated by different detector elements into the context of the whole detector for each point in time. As a consequence of this, the online part of the detector readout's data acquisition needs to be accurately synchronized in both time and frequency. In the CBM experiment, the ITIV contributes the design of the Timing and Fast Control system, which is in charge of controlling this integral part of the detector readout. Without this system, track reconstruction will not be possible in the offline domain i.e. at the server farm, within a reasonable amount of time at data rates of Terabit per second.

Partners: GSI Helmholtzzentrum für Schwerionenforschung Darmstadt

CBM Collaboration Meeting with ITIV Researcher

Timing and Fast Control Master Board