- Timestamp:
- 01/10/05 18:46:12 (20 years ago)
- Location:
- trunk/MagicSoft/TDAS-Extractor
- Files:
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- 2 edited
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23LedsBlue_Pulse_Inner.eps (modified) (2 diffs)
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Performance.tex (modified) (10 diffs)
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trunk/MagicSoft/TDAS-Extractor/23LedsBlue_Pulse_Inner.eps
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trunk/MagicSoft/TDAS-Extractor/Performance.tex
r5721 r5784 4 4 5 5 In this section, we describe the tests performed using light pulses of different colour, 6 pulse shapes and intensities with the MAGIC calibration pulser box.6 pulse shapes and intensities with the MAGIC LED Calibration Pulser Box \cite{hardware-manual}. 7 7 \par 8 8 The LED pulser system is able to provide fast light pulses of 3--4\,ns FWHM … … 12 12 \begin{table}[htp] 13 13 \centering 14 \begin{tabular}{|c|c|c|c|c|c| }15 \hline 16 \hline 17 \multicolumn{ 6}{|c|}{The possible pulsed light colours} \\18 \hline 19 \hline 20 Colour & Wavelength & Spectral Width & Min. Nr. & Max. Nr. & Secondary \\21 & [nm] & [nm] & Phe's & Phe's & Pulses \\22 \hline 23 Green & 520 & 40 & 6 & 120 & yes \\24 \hline 25 Blue & 460 & 30 & 6 & 500 & yes \\26 \hline 27 UV & 375 & 12 & 3 & 50 & no \\14 \begin{tabular}{|c|c|c|c|c|c|c|} 15 \hline 16 \hline 17 \multicolumn{7}{|c|}{The possible pulsed light colours} \\ 18 \hline 19 \hline 20 Colour & Wavelength & Spectral Width & Min. Nr. & Max. Nr. & Secondary & FWHM \\ 21 & [nm] & [nm] & Phe's & Phe's & Pulses & Pulse [ns]\\ 22 \hline 23 Green & 520 & 40 & 6 & 120 & yes & 3--4 \\ 24 \hline 25 Blue & 460 & 30 & 6 & 500 & yes & 3--4 \\ 26 \hline 27 UV & 375 & 12 & 3 & 50 & no & 2--3 \\ 28 28 \hline 29 29 \hline … … 40 40 One can see that the very stable UV-pulses are unfortunately only available in such intensities as to 41 41 not saturate the high-gain readout channel. However, the brightest combination of light pulses easily 42 saturates all channels in the camera, but does not reach a saturation of the low-gain channel.42 saturates all channels in the camera, but does not reach a saturation of the low-gain readout. 43 43 \par 44 44 Our tests can be classified into three subsections: … … 49 49 of the expected Gaussian distribution. 50 50 \item Number of photo-electrons: These tests measure the reconstructed numbers of photo-electrons, their 51 spread over the camera and the ratio of the obtained mean value for outer and inner pixels.52 \item Linearity tests: These test the linearity of the extractor with respect to pulses of different intensity53 and colour.51 spread over the camera and the ratio of the obtained mean values for outer and inner pixels, respectively. 52 \item Linearity tests: These tests measure the linearity of the extractor with respect to pulses of 53 different intensity and colour. 54 54 \item Time resolution: These tests show the time resolution and stability obtained with different 55 55 intensities and colours. … … 71 71 \includegraphics[height=0.25\textheight]{23LedsBlue_Pulse_Inner.eps} 72 72 \includegraphics[height=0.25\textheight]{23LedsBlue_Pulse_Outer.eps} 73 \caption{Example of a calibration pulse from the highest available intensity (23\,Leds Blue).73 \caption{Example of a calibration pulse from the highest available mono-chromatic intensity (23\,Leds Blue). 74 74 The left plot shows the signal obtained in an inner pixel, the right one the signal in an outer pixel. 75 One the left side, the (saturated) high-gain channel is visible, on the right side, the delayed low-gain 76 pulse appears. Note that on the left side, there is a secondary pulses visible in the tail of the 75 One the left side of both plots, the (saturated) high-gain channel is visible, 76 on the right side from FADC slice 18 on, 77 the delayed low-gain 78 pulse appears. Note that in the left plot, there is a secondary pulses visible in the tail of the 77 79 high-gain pulse. } 78 80 \label{fig:pulseexample23ledblue} … … 81 83 We used data taken on the 7$^{th}$ of June, 2004 with different pulser LED combinations, each taken with 82 84 16384 events. The corresponding run numbers range from nr. 31741 to 31772. This data was taken before the 83 latest camera repair access which replaced about 2\% of the pixels known to be mal-functionning at that time. 84 Thus, there is a lower limit to the number of un-calibrated pixels of about 1.5--2\%. 85 \par 86 Although, we had looked at and tested all colour and extractor combinations resulting from these data, 85 latest camera repair access which resulted in a replacement of about 2\% of the pixels known to be 86 mal-functionning at that time. 87 Thus, there is a lower limit to the number of un-calibrated pixels of about 1.5--2\% known 88 mal-functionning pixels. 89 \par 90 Although we had looked at and tested all colour and extractor combinations resulting from these data, 87 91 we refrain ourselves to show here only exemplary behaviour and results of extractors. 88 92 All plots, including those which are not displayed in this TDAS, can be retrieved from the following … … 103 107 \begin{enumerate} 104 108 \item The reconstructed mean signal is less than 2.5 times the extractor resolution $R$ from zero. 105 (2.5 Pedestal RMS in the case of the simple fixed window extractors). This criterium cuts out 109 (2.5 Pedestal RMS in the case of the simple fixed window extractors, see section~\ref{sec:pedestals}). 110 This criterium essentially cuts out 106 111 dead pixels. 107 112 \item The reconstructed mean signal error is smaller than its value. This criterium cuts out … … 109 114 criterium cuts out ``ringing'' pixels or mal-functionning extractors. 110 115 \item The reconstructed mean number of photo-electrons lies 4.5 sigma outside 111 the distribution of photo-electrons obtained with the inner or outer pixels in the camera. 112 \item All reconstructed negative mean signal, signal sigma's and mean numbers of photo-electrons 113 smaller than one. 116 the distribution of photo-electrons obtained with the inner or outer pixels in the camera, respectively. 117 This criterium cuts out pixels channels with apparently deviating (hardware) behaviour compared to 118 the rest of the camera readout. 119 \item All pixels with reconstructed negative mean signal or with a 120 mean numbers of photo-electrons smaller than one. Pixels with a negative pedestal RMS subtracted 121 sigma occur, especially when stars are focussed onto that pixel during the pedestal taking (resulting 122 in a large pedestal RMS), but have moved to another pixel during the calibration run. In this case, the 123 number of photo-electrons would result artificially negative. If these 124 channels do not show any other deviating behaviour, their number of photo-electrons gets replaced by the 125 mean number of photo-electrons in the camera, and the channel is further calibrated as normal. 114 126 \end{enumerate} 115 127 116 128 Moreover, the number of events are counted which have been reconstructed outside a 5 sigma region 117 129 from the mean signal. These events are called ``outliers''. Figure~\ref{fig:outlier} shows a typical 118 outlier obtained with the digital filter .130 outlier obtained with the digital filter applied to a low-gain signal. 119 131 120 132 \begin{figure}[htp] … … 166 178 One can see that in general, big extraction windows raise the 167 179 number of un-calibrated pixels and are thus less stable. Especially for the very low-intensity 168 $1Led UV$-pulse, the big extraction windows summing 8 or more slices, cannot calibrate more than 50\%180 $1Led\,UV$-pulse, the big extraction windows summing 8 or more slices, cannot calibrate more than 50\% 169 181 of the inner pixels (fig.~\ref{fig:unsuited:1leduv}). This is an expected behavior since big windows 170 182 add up more noise which in turn makes the for the small signal more difficult. … … 650 662 %%% TeX-master: "MAGIC_signal_reco" 651 663 %%% TeX-master: "MAGIC_signal_reco" 664 %%% TeX-master: "MAGIC_signal_reco" 652 665 %%% End:
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