The way the program calculated the mean pedestal value was to assume the first value in each file was not a signal then it began calculating a rolling average until it came to a value greater than 1.25 times the rolling average. If it hit a value greater than 1.25 times the rolling average it took this to be a signal and used the mean calculated as the mean pedestal. To calculate the standard deviation, the program just took the values found before the first signal and plugged them into the population standard deviation formula (which uses N instead of N-1).  I have attached a graph of mean pedestal value vs. APV number.

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