Heidelberg 2022 – scientific programme

Parts | Days | Selection | Search | Updates | Downloads | Help

T: Fachverband Teilchenphysik

T 66: Semiconductor Detectors: Radiation Hardness, new Materials and Concepts 2

T 66.2: Talk

Wednesday, March 23, 2022, 16:30–16:45, T-H25

PeakOTron: A Python Module for Fitting Charge Spectra of Silicon Photomultipliers — •Jack Rolph, Erika Garutti, and Joern Schwandt — Institute for Experimental Physics, University of Hamburg, Luruper Chaussee 149, 22761 Hamburg, Germany

An automated software method is developed to characterise the pulse-height spectra of SiPM obtained in the dark or response to low-intensity light illumination. The method is based on a fit utilising a published SiPM response model. It aims to provide SiPM performance parameters for single measurements, mass production characterisation, or high granular detector calibration. The fit considers dark count rate, the average number of detected photons, crosstalk and after-pulsing, electronics noise and gain fluctuations. Due to the sensitivity of the fit to the initial values assigned to these parameters, the software must perform careful estimation before fitting the model to data, which has been designed to be fast, accurate and robust to fluctuations. First, the model*s accuracy is validated against simulation and then tested to experimental data from various SiPMs.