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Algorithms - Peak Characterizations, Standard Deviation

Algorithms

Peak Characterizations, Standard Deviation

Equals the sum of the squares of the differences between the trace and the mean Y value. Values are determined both before and after subtracting the baseline.

Let
l = the point number (index) of the left limit of the integration range
r = the index of the right limit of the integration range
npr = the number of data points in the integration range
mean = the mean value of the data in the integration range as described in Mean, above

If the baseline is subtracted from the curve, then y = y - base(x) the Standard Deviation is then given by:

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