sections: rite sections 2 and 4
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# Landau PDF
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## Pathological probability distribution
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## A pathological distribution
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Because of its fat tail:
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@ -10,23 +10,48 @@ Because of its fat tail:
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V[x] &\longrightarrow + \infty
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\end{align*}
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. . .
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No closed form for parameters.
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## Landau median
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The median of a PDF is defined as:
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$$
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Q_L(x) = \frac{1}{2}
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Q_L(m) = \frac{1}{2}
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$$
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. . .
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- CDF computed by numerical integration,
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- QDF computed by numerical root-finding (Brent)
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hence:
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$$
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m_L = 1.3557804...
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$$
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o
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## Landau mode
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- Maxmimum $\quad \Longrightarrow \quad \partial_x M(\mu) = 0$,
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- Computed by numerical minimization (Brent)
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$$
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\mu_L = − 0.22278...
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$$
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## Landau FWHM
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$$
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\text{FWHM} = x_+ - x_- \with L(x_{\pm})
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= \frac{L_{\text{max}}}{2} = \frac{L(\mu_L)}{2}
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$$
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- Computed numerically (Brent)
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$$
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\text{FWHM}_L = 4.018645...
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$$
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@ -1,8 +1,9 @@
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# Data sample
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## Data sample
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The $M(x)$ most similar to $L(x)$ is found by imposing:
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## PDF parameters
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A $M(x)$ similar to $L(x)$ can be found by imposing:
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- equal mode
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$$
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@ -19,3 +20,16 @@ $$
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$$
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\implies \sigma_M \approx 1.1191486
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$$
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## PDF parameters
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:::: {.columns}
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::: {.column width=50%}
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![](images/both-pdf-bef.pdf)
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:::
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::: {.column width=50%}
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![](images/both-pdf-aft.pdf)
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:::
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::::
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