pres: create a new directory for the presentation
Also add a file with some informations and three papers. All about the Moyal distribution.
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pres/moyal.md
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pres/moyal.md
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The Moyal distribution, which is a steepest descent approximation of the
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Landau distribition, is defines as:
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$$
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\exp \left( - \frac{x - \mu }{2 \sigma}
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- \frac{1}{2} \exp \left( - \frac{x -\mu}{\sigma} \right) \right)
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$$
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Mean $m$ and variance $\sigma$:
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$$
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m = \mu + \sigma [ \gamma + \ln(2) ] \et \sigma = \frac{\pi^2 \sigma^2}{2}
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$$
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Median:
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$$
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\mu - \sigma \left[ 2 \text{erf}^{-1} \left( \frac{1}{2} \right)^2 \right]
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$$
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skewness and kurtosis are constant:
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$$
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s = \frac{28 \sqrt{2} Z(3)]{\pi^3} \et k = 7
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$$
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max value:
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$$
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\frac{1}{\sqrt{2 e \pi}}
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$$
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cdf:
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$$
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\text{erf} \left( \frac{\exp \left(
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- \frac{x - \mu}{2 \sigma} \right)}{\sqrt{2}} \right)
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$$
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$\mu$ is the location parameter and $\sigma$ is the scale parameter.
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The Moyal distribution was first proposed in a 1955 paper by physicist J. E.
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Moyal. The distribution models the energy lost by a fast charged particle
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(and hence the number of ion pairs produced) during ionization. Historically,
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the Moyal distribution has been utilized in the approximation of the Landau
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Distribution and has since found use in modeling a wide array of phenomena.
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pres/papers/Cordeiro.pdf
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pres/papers/Cordeiro.pdf
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pres/papers/Moyal.pdf
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pres/papers/Moyal.pdf
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pres/papers/Walck.pdf
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pres/papers/Walck.pdf
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