A feature-extraction and pile-up reconstruction algorithm for the forward-spectrometer EMC of the PANDA experiment
| Autor: | Stefan Diehl, R. W. Novotny, P.-E. Tegnér, P. A. Semenov, S. Bukreeva, M. Preston, Pawel Marciniewski, S. V. Ryzhikov |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Nuclear and High Energy Physics
Physics::Instrumentation and Detectors Feature extraction Monte Carlo method Constant fraction discriminator Accelerator Physics and Instrumentation 01 natural sciences Subatomär fysik Data acquisition Electromagnetic calorimeter Sampling ADC 0103 physical sciences Subatomic Physics Optimal filter 010306 general physics Instrumentation FPGA Physics Calorimeter (particle physics) 010308 nuclear & particles physics Detector Reconstruction algorithm Pile-up reconstruction Acceleratorfysik och instrumentering Pulse-amplitude modulation Algorithm |
| Popis: | A digital algorithm for real-time feature extraction, i.e. determination of pulse amplitude and timing, has been developed for the forward-spectrometer electromagnetic calorimeter in the PANDA experiment. The algorithm, which is based on the well known optimal-filter algorithm, has been designed to allow reconstruction of pile-up signals in real time and to work in a free-running DAQ system such as PANDA. To benchmark the algorithm, a Geant4-based Monte Carlo model of photon interactions in the calorimeter has been developed to generate realistic detector signals which were used as inputs to a VHDL simulation of the algorithm. The results of this simulation study show that the developed algorithm improves the time resolution by almost 50% compared to a conventional linear constant fraction discriminator algorithm. For the PANDA calorimeter, this results in a time resolution close to 100 ps/ GeV per detector element at high energies. The algorithm allows reconstruction of the amplitude and timing of pile-up pulses separated by as little as 30 ns with good efficiency, fulfilling the PANDA requirements. |
| Databáze: | OpenAIRE |
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