Köln 2025 – scientific programme
Parts | Days | Selection | Search | Updates | Downloads | Help
HK: Fachverband Physik der Hadronen und Kerne
HK 23: Poster
HK 23.9: Poster
Tuesday, March 11, 2025, 17:30–19:00, Foyer Physik
Automated Signal-to-Noise Ratio Optimizations for the ToASt-based Silicon-Strip-Detectors of the PANDA MVD — •Raphael Ratz1, Kai-Thomas Brinkmann1, Marvin Peter1, Nils Tröll1, Hans-Georg Zaunick1, Giovanni Mazza2, Michele Caselle3, and Daniela Calvo2 for the PANDA collaboration — 1Justus Liebig University Gießen, Gießen, Germany — 2Istituo Nazionale di Fisica Nucleare - Sezione di Torino, Turin, Italy — 3Karlsruhe Institute of Technology, Karlsruhe, Germany
The silicon strip detectors as part of the Micro Vertex Detector of the PANDA experiment are read out by the ToASt ASIC and have a multitude of parameters for the correct execution of Time-over-Threshold (ToT) measurements. Some of these parameters severely affect the noise and the signal, making a calibration for optimal settings necessary.
This contribution presents a system for the automated optimization procedures of a selected set of parameters regarding the Signal-to-Noise Ratio (SNR) using the integrated test pulser of the ToASt chip. The parameters considered were measured pairwise to retrieve the SNR for all available register combinations. With this data, the correlation between different parameters, the behavior of different channels, and the stability and reproducibility of this approach can be investigated.
Lastly, a different approach for measuring the noise, using an S-curve scan, is considered. This is achieved by counting the amount of measured pulses from a set quantity of applied pulses, depending on the test pulser amplitude. Supported by BMBF.
Keywords: Signal-to-Noise Ratio; S-Curve Scan; Silicon Strip Detectors; ToASt; Particle Tracker