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  1. 1 gaussian pedestal removal: The pedestal was removed by fitting the pedestal region with a gaussian function, and then subtracting this same gaussian from the distribution. The error pattern indicates that the fit is too narrow.
  2. 2 gaussian pedestal removal: The pedestal was then fit with two, nonconcentric, gaussian functions, which were then subtracted from the distribution. This resulted in a smaller, less consistant error pattern.
  3. signal extraction: All bins below channel 20 were then zeroed to isolate the real signal distribution, shown here with error bars. Note the signal mean of 58.