2019
DOI: 10.1103/physreva.99.033838
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Controlling the intensity statistics of speckle patterns: From normal to subthermal or superthermal distributions

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Cited by 7 publications
(4 citation statements)
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“…5.25 and 5.27 have very unusual features. With the power exponent less than 2, α < 1, the mean number of photons is not defined and depends on the time of observation, making this distribution much different from the ones reported by the others [169,170,130]. Similar to the fractal 'coastline paradox' [179], where the coastline appears to be longer, the better one measures, the mean photon number will be the higher, the more data are used to determine it, N F ∝ s 1 /α−1 , where s is the dataset size [171].…”
Section: Extreme Bunching: Outlook and Possible Applicationsmentioning
confidence: 87%
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“…5.25 and 5.27 have very unusual features. With the power exponent less than 2, α < 1, the mean number of photons is not defined and depends on the time of observation, making this distribution much different from the ones reported by the others [169,170,130]. Similar to the fractal 'coastline paradox' [179], where the coastline appears to be longer, the better one measures, the mean photon number will be the higher, the more data are used to determine it, N F ∝ s 1 /α−1 , where s is the dataset size [171].…”
Section: Extreme Bunching: Outlook and Possible Applicationsmentioning
confidence: 87%
“…3c,e have very unusual features. With k < 1, the mean number of photons per pulse is not defined and depends on the time of observation; it makes our distribution much different from the ones reported by the others [26][27][28]. This fractal-like behavior is typical for Pareto distributions where the mean values do not converge [29].…”
mentioning
confidence: 86%
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