LEOS 2008 - 21st Annual Meeting of the IEEE Lasers and Electro-Optics Society 2008
DOI: 10.1109/leos.2008.4688614
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Extreme value statistics in silicon photonics

Abstract: L-shape probability distributions are extremely non-Gaussian distributions that have been surprisingly successful in describing the frequency of occurrence of extreme events, ranging from stock market crashes and natural disasters, the structure of biological systems, fractals, and optical rogue waves. In this paper, we show that fluctuations in stimulated Raman scattering in silicon, as well as in coherent anti-Stokes Raman scattering, can follow extreme value statistics and provide mathematical insight into … Show more

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Cited by 10 publications
(14 citation statements)
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References 17 publications
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“…In all the following numerical and analytical solutions, a pump wavelength of 2.88 µm is used. 3,4 The corresponding Stokes wavelength is 3.39 µm according to silicon's optical phonon energy. The Raman gain coefficient g R is estimated to be as high as 9 cm/GW at these wavelengths.…”
Section: Resultsmentioning
confidence: 99%
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“…In all the following numerical and analytical solutions, a pump wavelength of 2.88 µm is used. 3,4 The corresponding Stokes wavelength is 3.39 µm according to silicon's optical phonon energy. The Raman gain coefficient g R is estimated to be as high as 9 cm/GW at these wavelengths.…”
Section: Resultsmentioning
confidence: 99%
“…Such pump intensities can be attained in practice by solid-state mid-IR lasers (e.g., optical parametric oscillators). 3,4 Also shown in the inset of Fig. 1 is the input-output (light-light) characteristic of the laser.…”
Section: Resultsmentioning
confidence: 99%
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“…As a case in point, we have recently reported that fluctuations of Raman amplified pulses, in the presence of a noisy pump, follow extremevalue statistics -highly non-Gaussian distributions that have been surprisingly successful in describing the frequency of occurrence of extreme events ranging from stock market crashes and natural disasters, the structure of biological systems and fractals, and optical rogue waves [58,59]. These distributions predict that events much larger than the mean can occur with significant probability, in stark contrast to the ubiquitous Gaussian distribution which heavily favors events close to the mean.…”
Section: Resultsmentioning
confidence: 99%
“…The γ ( t ) for thermal sources such as our own Sun is a Poisson-like process with ( M , B ) ≈ (0, 0), and produces an RC output ϕ ( t ) which also has ( M , B ) ≈ (0, 0). However non-thermal sources, such as that recently produced in laboratory silicon systems using stimulated and coherent anti-Stokes Raman scattering24, would not be restricted to having ( M , B ) ≈ (0, 0) and hence merit investigation. For simplicity our model considers each arriving photon as creating one initial excitation: This avoids adding another layer of statistical analysis for the absorption and does not change our main conclusions.…”
mentioning
confidence: 99%