2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC) 2009
DOI: 10.1109/nssmic.2009.5402300
|View full text |Cite
|
Sign up to set email alerts
|

Probability distribution and noise factor of solid state photomultiplier signals with cross-talk and afterpulsing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
39
0

Year Published

2012
2012
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 36 publications
(40 citation statements)
references
References 15 publications
1
39
0
Order By: Relevance
“…adjacent to the primary one (4 side-by-side or 8 with extra corner-by-corner ones) [9] -Binomial distribution; 3) Random single chain or sequence of binary counts -Geometric distribution [2], [10]; 4) Branching Poisson process when a primary event, as well as every secondary one, creates the next generation of Poissonian-distributed secondary events [10]- [12]; as shown in [10], this process results in Borel distribution of a total number of events. In case if SIPM detects a light pulse with a Poissonian number of photons when a total number of detected events obeys a compound Poisson distribution combined by the Poisson distribution of primaries and the specific distribution of secondaries pointed above 1)-4).…”
Section: Correlated Noise: Crosstalk and Afterpulsingmentioning
confidence: 99%
See 2 more Smart Citations
“…adjacent to the primary one (4 side-by-side or 8 with extra corner-by-corner ones) [9] -Binomial distribution; 3) Random single chain or sequence of binary counts -Geometric distribution [2], [10]; 4) Branching Poisson process when a primary event, as well as every secondary one, creates the next generation of Poissonian-distributed secondary events [10]- [12]; as shown in [10], this process results in Borel distribution of a total number of events. In case if SIPM detects a light pulse with a Poissonian number of photons when a total number of detected events obeys a compound Poisson distribution combined by the Poisson distribution of primaries and the specific distribution of secondaries pointed above 1)-4).…”
Section: Correlated Noise: Crosstalk and Afterpulsingmentioning
confidence: 99%
“…Recently, an afterpulsing is simulated as a branching Poisson process assuming a single avalanche creating a Poisson-distributed number of afterpulses, and when iteratively applied to each of the generated afterpulses [12]. ENF of the correlated processes was initially derived in [2] and discussed [3], and then advanced results were presented in [10].…”
Section: Correlated Noise: Crosstalk and Afterpulsingmentioning
confidence: 99%
See 1 more Smart Citation
“…4 When p aft ¼ 0, the probability of a gate equal to 1 is simply Eq. This probability (the probability of one or more electrons being present in a gate given a certain afterpulsing probability) is based on a compound Poisson distribution that skews from the standard distribution given the same mean.…”
Section: Snr Derivation Including Afterpulsingmentioning
confidence: 99%
“…Several analytical models of crosstalk noise in SiPMs are available in the literature. Many of them [14][15][16][17][18][19] assume that crosstalk obeys a Bernoulli distribution, that is, a primary avalanche can either trigger a secondary avalanche in a neighboring pixel with probability p or no avalanche with probability 1 − p. Some of these models also include cascading processes where a secondary avalanche may trigger a tertiary avalanche, which could in turn trigger a quaternary avalanche and so on, although the number of crosstalk events that can be induced directly by each pixel is limited to one. However, a single avalanche is made up of a large number of carriers (typical avalanche gain is 10 5 − 10 6 ), each one being able to induce emission of crosstalk photons with a probability of ∼ 3 · 10 −5 [3,13,23].…”
Section: Fundamentalsmentioning
confidence: 99%