Novel Model for Analysis and Optimization of Silicon Photomultiplier-Based Scintillation Systems

Sommer, Marek; Krist, Pavel; Kákona, Martin; Ploc, Ondřej

doi:10.1109/tns.2021.3121871

Cited by 2 publications

(1 citation statement)

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“…The output signal of SiPM is a continuous-time stochastic process. The Monte Carlo simulation, used by many authors [ 23 , 24 , 25 ], is a straightforward solution, which allows including such phenomena as correlated pulses, decreased detection efficiency during pixel recharge, and a finite number of pixels in the matrix. However, Monte Carlo is a numerical method without the possibility of obtaining a closed-form analytical solution with in-depth insight.…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of Silicon Photomultiplier Output Signals

Kolka

Barcik

Biolková

2022

Sensors

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Silicon photomultipliers are relatively new devices designed as a matrix of single-photon avalanche detectors, which have become popular for their miniature dimensions and low operating voltage. Their superior sensitivity allows detecting low-photon-count optical pulses, e.g., in ranging and LIDAR applications. The output signal of the photomultiplier is a non-stationary stochastic process, from which a weak periodic pulse can be extracted by means of statistical processing. Using the double-exponential approximation of output avalanche pulses the paper presents a simple analytical solution to the mean and variance of the stochastic process. It is shown that even for an ideal square optical pulse the rising edge of the statistically detected signal is longer than the edge of individual avalanche pulses. The knowledge of the detected waveform can be used to design an optimum laser pulse waveform or algorithms for estimating the time of arrival. The experimental section demonstrates the proposed procedure.

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Section: Introductionmentioning

confidence: 99%