2014
DOI: 10.1088/1748-0221/9/06/p06016
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Probabilities of triggering and validation in a digital silicon photomultiplier

Abstract: A digital silicon photomultiplier (dSiPM) consists of an array of single photon avalanche diodes (SPADs) operating in Geiger-mode. Each SPAD is connected to a dedicated CMOS quenching and digitization circuit. One type of dSiPM is the Digital Photon Counter (DPC) manufactured by Philips Digital Photon Counting (PDPC). Due to the digital architecture of the device, a DPC can be adapted and optimized for different applications through a set of adjustable acquisition parameters. The influence of these parameters … Show more

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Cited by 41 publications
(42 citation statements)
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“…This was done to achieve the best time resolution as well as be able to record events from the stop-SPAD. The validation scheme for the whole DPC array was set to 4 (corresponding to a statistical validation threshold of about 17 fired SPADs) in order to reduce the amount of recorded data, see Tabacchini et al (2014). Since events on the stop-SPAD could not be validated with this validation scheme, neighbor logic was used instead.…”
Section: Rise Timementioning
confidence: 99%
See 1 more Smart Citation
“…This was done to achieve the best time resolution as well as be able to record events from the stop-SPAD. The validation scheme for the whole DPC array was set to 4 (corresponding to a statistical validation threshold of about 17 fired SPADs) in order to reduce the amount of recorded data, see Tabacchini et al (2014). Since events on the stop-SPAD could not be validated with this validation scheme, neighbor logic was used instead.…”
Section: Rise Timementioning
confidence: 99%
“…The integration interval for detecting photons following the validation was chosen to be 1285 ns (∼4 × the decay time of BGO). A detailed description about the trigger and validation functionality and theory can be found in Frach et al (2010), Tabacchini et al (2014) and Schulze (2015). The influence of the DCR and light yield on the time resolution was investigated by repeating the measurements at different temperatures, viz.…”
Section: Coincidence Timingmentioning
confidence: 99%
“…It also plays a large role in determining the timing resolution. Some groups have developed sophisticated models of the photodetector pulse response (Seifert et al , 2012; Tabacchini et al , 2014), but not integrated in simulation packages and only considering the photodetector triggering and charge conversion processes without taken into account optical coupling. This creates an additional source of uncertainty in optical simulations.…”
Section: Next Generation Simulatorsmentioning
confidence: 99%
“…The necessary calibration steps and chosen parameters depend on the optimization goal (e.g., highest sensitivity vs. highest possible activity). Throughout this paper, conservative settings were used: 20 % of the cells were deactivated, 0° C or 5° C liquid cooling temperature, 2.5 V SiPM cell overvoltage, trigger scheme 3, validation network 0x54 or 0x55 [45].…”
Section: ) Control and Calibrationmentioning
confidence: 99%