Changes

The black histograms in the plots are the data and the red curves are the best fit to the data using the multi-Poisson model described in a preceeding section, with two modifications.

The black histograms in the plots are the data and the red curves are the best fit to the data using the multi-Poisson model described in a preceeding section, with two modifications.

* The Gaussian smearing of the individual pixel pulse-height distribution was replaced with the following function that has an asymmetric tail.

* The Gaussian smearing of the individual pixel pulse-height distribution was replaced with the following function that has an asymmetric tail.

::<math>\begin{eqnarray}

::<math>\mbox{\begin{eqnarray}

f(x;\alpha,\beta,\sigma) &=& \beta\frac{\alpha}{2}\,e^{\alpha x+\frac{\alpha^2\sigma^2}{2}}\left[1-Erf\left(\frac{x+\alpha\sigma^2}{\sqrt{2}\sigma}\right)\right] \\ &+& \frac{1-\beta}{\sqrt{2\pi}\sigma}e^{-\frac{x^2}{2\sigma^2}}\\

f(x;\alpha,\beta,\sigma) &=& \beta\frac{\alpha}{2}\,e^{\alpha x+\frac{\alpha^2\sigma^2}{2}}\left[1-Erf\left(\frac{x+\alpha\sigma^2}{\sqrt{2}\sigma}\right)\right] \\ &+& \frac{1-\beta}{\sqrt{2\pi}\sigma}e^{-\frac{x^2}{2\sigma^2}}\\

\end{eqnarray}</math>

\end{eqnarray}}</math>

: This function is normalized to unity and is described by two parameters:

: This function is normalized to unity and is described by two parameters: