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Persistent URL http://purl.org/net/epubs/work/63522
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Record Id 63522
Title A non-linear algorithm for current signal filtering and peak detection in SiPM
Abstract Read-out of Silicon Photomultipliers is commonly achieved by means of charge integration, a method particularly susceptible to after-pulsing noise and not efficient for low level light signals. Current signal monitoring, characterized by easier electronic implementation and intrinsically faster than charge integration, is also more suitable for low level light signals and can potentially result in much decreased after-pulsing noise effects. However, its use is to date limited by the need of developing a suitable read-out algorithm for signal analysis and filtering able to achieve current peak detection and measurement with the needed precision and accuracy. In this paper we present an original algorithm, based on a piecewise linear-fitting approach, to filter the noise of the current signal and hence efficiently identifying and measuring urrent peaks. The proposed algorithm is then compared with the optimal linear filtering algorithm for timeencoded peak detection, based on a moving average routine, and assessed in terms of accuracy, precision, and peak detection efficiency, demonstrating improvements of 1รท2 orders of magnitude in all these quality factors.
Organisation CI
Keywords Data processing methods , Pattern recognition , Physics , Data reduction methods , Cluster finding , Calibration and fitting methods;
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Language English (EN)
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Journal Article JINST 7 (2012): P08014. doi:10.1088/1748-0221/7/08/P08014 Cockcroft-12-27.pdf 2012