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626 bytes added ,  18:11, 13 August 2007
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<math>\int_{-\infty}^{\infty} f(x)\, dx = Tg \int_{-\infty}^{\infty} f(q)\, dq = Tg </math> implies that Tg is the number of events collected times the bin width (in Vs).  
 
<math>\int_{-\infty}^{\infty} f(x)\, dx = Tg \int_{-\infty}^{\infty} f(q)\, dq = Tg </math> implies that Tg is the number of events collected times the bin width (in Vs).  
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Now, with this powerful instrument at hand used with a fitter in Paw, the histograms collected as function of T and V<sub>b</sub> were analyzed. It turned out that even histograms with nearly indistinguishable peaks  yielded a best fit to this model and suggested the appropriate gain and other parameters.
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Below is the analyzed data on dark rate, gain and photon detection efficiency (PDE) as function of T and V<sub>b</sub>. An attempt was also made at mapping the rate of secondaries (multi-Poisson parameter) as a function of these variables but small trends perceived in the data were within the parameter's error bars.
    
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