sddsbaselineperforms baseline removal for SDDS column data. Several methods of determining the baseline are provided.
endPointsspecifies selecting number values from the start and end of the column.
outsideFWHAspecifies selecting all values that are outside multiplier times the full-width-at-half-amplitude (FWHA) of the pixel count distribution.
antiOutlierspecifies selecting all values that are not deemed outliers in the 2-sigma sense in any of passes inspections. These last two options implicitly assume that the statistical distribution of the pixel counts is baseline dominated.
fitspecifies fitting a line to the values (as a function of index).
averagespecifies taking a simple average of the values.
sddssmooth) may be applied after removal of negative values; this can result in the removal of positive noise spikes. Giving
-repeatsallows applying the baseline removal procedure iteratively to the data.