SMuK 2023 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 85: DAQ, Data Techniques
T 85.1: Vortrag
Mittwoch, 22. März 2023, 17:30–17:45, HSZ/0301
Simulation and Optimization of Particle Detector Signal Processing using Matlab and Simulink — •Florian Rössing1, André Zambanini1, Christian Grewing1, and Stefan van Waasen1,2 — 1ZEA-2, Forschungszentrum Jülich — 2NTS, Universität Duisburg-Essen
Matlab and Simulink are tools that are widely used in the field of engineering because they provide a flexible tool chain for mixed signal simulation that can be tailored to the specific needs of the user. With these, we model the sensors used in particle detectors and the attached read-out systems, creating a full system view on the electronics component in the chain. This enables studies on the influence of various parameters to obtain a better understanding of relevant factors and optimization potential, for instance for power efficient information extraction.
With this contribution, we will present our modeling approaches, split into three stages: The per channel event modelling, the sensor response to the incident energy, and the analog receiver chain with a front-end and corresponding pre-processing. We will demonstrate how we can model different characteristics in all three stages of the systems, including statistical fluctuations, bandwidth limitations, non-linearity and noise. These models are also used to develop approaches for the digital processing of the signals. The Simulink HDL Coder Toolbox allows us to directly convert the digital domain of our models into HDL, implementable into either an FPGA or an integrated circuit.