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 \section{Conclusions}
-\ldots {\it This section will propose the best signal extractor.}
+
+In the past, many MAGIC analyses have been conducted using different signal extractors. 
+We developped and tested the most important signal and time extraction algorithms in the standard MAGIC software 
+framework MARS. Our findings are that using a right signal extractor is important since some of the investigated ones
+ differ considerably in quality and can severly degrade the subsequent analyses. On the other hand, we have found that 
+advanced signal recontruction algorithms open a new window to lower analysis energy threshold and permit to use the 
+time information of shower analyses. 
+\par
+In order to give a guideline for future usage of the tested signal extractors, we consider the following 
+requirements to be of most importance:
+
+\begin{itemize}
+\item The calibration (including the F-Factor method) has to run stably and yield reliable results for all pixels.
+\item The extracted signal should be as linear as possible over the whole dynamic range, including especially the 
+low-gain range.
+\item The combined resolution and bias should result in a lowest possible image cleaning threshold.
+\item The extracted time should yield the best possible resolution.
+\end{itemize}
+
+Following these requirements, we recommend to exclude in the future the following signal extraction algorithms:
+
+\begin{itemize}
+\item All fixed window extractors using a window size of up to 6~FADC slices, 
+including the fixed window peak search algorithm.
+\item All sliding window extractors using a window size of up to 4~FADC slices.
+\item The amplitude extracting spline.
+\end{itemize}
+
+For a conservative and stable analysis, we recommend to use (except for the December~2004 and January~2005 data):
+
+\begin{itemize}
+\item The sliding window, using an extraction window size of 6--8~FADC slices for the high-gain and 8~FADC slices for the 
+low-gain channel.
+\end{itemize}
+
+For the most demanding analyses, especially at low energies and using the timing information, we recommend:
+
+\begin{itemize}
+\item The spline algorithm, integrating from 0.5~FADC slices before the pulse maximum to 1.5~FADC slices after the 
+pulse maximum and computing the position of the half-maximum at the rising edge of the pulse.
+\item The digital filter fitting the pulse over 4~or 6~FADC slices in the high-gain region and 6~FADC slices in the 
+low-gain region.
+\end{itemize}
+
+Unfortunately, part of our recent data, taken in December~2004 and January~2005 had a severe problem with the pulse location
+within the recorded FADC slices. In the recorded samples, the low-gain pulse situated so far to the right that a part of 
+it has not been recorded any more. This poses severe problems to all extractors which integrate the entire low-gain pulse. 
+We have seen that the spline extractor and the digital filter over 4~FADC slices are still capable to reconstruct the low-gain 
+pulse properly for this partly corrupt data sample.
 
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