analistica/slides/sections/2.md

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# Landau distribution
## Landau PDF
:::: {.columns}
::: {.column width=50% align=center}
$$
L(x) = \frac{1}{\pi} \int \limits_{0}^{+ \infty}
dt \, e^{-t \ln(t) -xt} \sin (\pi t)
$$
. . .
\vspace{30pt}
\centering
No closed form for \textcolor{cyclamen}{ANYTHING}
:::
::: {.column width=50%}
![](images/landau-pdf.pdf)
:::
::::
## Landau median
The median of a PDF is defined as:
$$
m = Q \left( \frac{1}{2} \right)
$$
. . .
- CDF computed by numerical integration
- QDF computed by numerical root-finding (Brent)
\setbeamercovered{}
\begin{center}
\begin{tikzpicture}[remember picture]
\node at (0,0) (here) {$m_L\ex = 1.3557804...$};
\pause
\node [opacity=0.5, xscale=0.35, yscale=0.25 ] at (here) {\includegraphics{images/high.png}};
\end{tikzpicture}
\end{center}
\setbeamercovered{transparent}
## Landau mode
- Maximum $\hence \partial_x L(\mu) = 0$
. . .
- Computed by numerical minimization (Brent)
\setbeamercovered{}
\begin{center}
\begin{tikzpicture}[remember picture]
\node at (0,0) (here) {$\mu_L\ex = 0.22278...$};
\pause
\node [opacity=0.5, xscale=0.32, yscale=0.25 ] at (here) {\includegraphics{images/high.png}};
\end{tikzpicture}
\end{center}
\setbeamercovered{transparent}
## Landau FWHM
We need to compute the maximum:
$$
L_{\text{max}} = L(\mu_L)
$$
$$
\text{FWHM} = w = x_+ - x_- \with L(x_{\pm}) = \frac{L_{\text{max}}}{2}
$$
. . .
- Computed by numerical root finding (Brent)
\setbeamercovered{}
\begin{center}
\begin{tikzpicture}[remember picture]
\node at (0,0) (here) {$w_L\ex = 4.018645...$};
\pause
\node [opacity=0.5, xscale=0.32, yscale=0.25 ] at (here) {\includegraphics{images/high.png}};
\end{tikzpicture}
\end{center}
\setbeamercovered{transparent}