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ADC to Multiplicity

The first thing to be aware of is how the translation from $ADC$ counts into $M$ is performed5. The ADCs for the tiles are dual range ADC, so a preliminary correction of the $ADC$s must be done:

\begin{displaymath}
ADC_i' = \left\{
\begin{array}{cl}
ADC_i & \mbox{for } ADC...
...& \mbox{for } ADC_i > Gap_{i,low}\\
\end{array}\right.\quad,
\end{displaymath}

where $Gap_{i,high}$ is the lower limit of the upper part of the ADC, and $Gap_{i,low}$ is the upper limit of the lower part of the ADC.

Next, we exclude all $ADC$s that are are lower than a certain threshold $T$:

\begin{displaymath}
T_i = P_i + a \Delta P_i\quad,
\end{displaymath}

where $P_i$ is the ADC's pedestal, $\Delta P_i$ the pedestal width, and $a$ some constant factor. $a$ is usually set to 2.

The next step, is to subtract the pedestal from the $ADC$ values, to give us the calibrated $ADC_{cal}$:

\begin{displaymath}
ADC_{cal,i} = ADC_i' - P_i
\end{displaymath}

As described elsewhere [2], one must make a geometrical correction for the spread in path length through a given tile, when determining the individual tile multiplicity. This correction factor $f$ is highly vertex dependent, and is given by:

\begin{displaymath}
f_i(V_z) = \sin \left(\theta_i(V_z)\right) =
\frac{R}{\sqrt{(Z_i^2 - V_z^2) + R^2}}\quad,
\end{displaymath}

where $R$ is the tile's radial distance from the beam axis, $Z_i$ the $i^{th}$ tile's position along the beam axis, and $V_z$ the primary vertex position along the beam axis.


\begin{SCfigure}
% latex2html id marker 182
[10][htbp]
%%\begin{center}
\leave...
...on factor for relative position of
tile to vertex} %%\end{center}\end{SCfigure}

Finally, we end up with something that is more or less proportional to the multiplicity in a given tile, by dividing by the mean deposited energy per particle $\overline{E}$ in a tile:

\begin{displaymath}
M_{i,m} = ADC_{cal,i} \frac{f_i(V_z)}{\overline{E}_i}
\end{displaymath} (4)

$\overline{E}$ is determined from cosmic ray data [1].


next up previous contents
Next: The Vertex Algorithm Up: Centrality estimates using the Previous: Centrality   Contents
Christian Holm Christensen 2001-02-13