User`s guide

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Filtering Setpoints
The first step the software takes in analyzing the raw data is to apply data filtering. The
following filtering setpoints can be changed:
Peak Find Setpoints
After data filtering, the peak find algorithm locates the peaks and calculates the local
peak baselines. The algorithm begins by finding all the peaks above the noise threshold
in order to determine the baseline, after which any peaks below the noise threshold are
rejected. A local baseline is calculated for each peak to allow for baseline drift.
Filter Width Defines the data window, given in seconds, used for averaging. The
broader the filter width, the more raw data points are used for
averaging. As a result, the noise level will decrease, but peaks will
become lower and broader. Overall, changing the Filter Width has
more effect on the result of the filtering procedure applied then
does changing the Polynomial Order.
Polynomial Order This setting is used to define the power series applied to fit the raw
data. The higher the number, the more the fit function will follow
the noisy raw data curve. As a result, the noise level of the filtered
curve will increase.