OptionalmaxOptionalmaxPeaks are local maxima (true) or minima (false)
OptionalminMinimal height of small peaks based on the ratio between min and max
OptionalnoisePeaks under the noiseLevel (or above it in case of maxCriteria=false) are ignored.
When omitted, the noise level is estimated from the spectrum for equally-spaced x,
and set to 0 otherwise.
OptionalpeakAlgorithm used for peak detection:
OptionalrealUse a quadratic optimizations with the peak and its 3 closest neighbors
OptionalsgOptions for the Savitzky-Golay generalised algorithm. This algorithm is used to calculate the first ans second derivative. It is also used when smoothY:true to smooth the spectrum for peak picking. The Y values in case of smoothY is true will therefore be lower.
OptionalsmoothSelect the peak intensities from a smoothed version of the independent variables
Threshold to use an absolute ratio of the maximum absolute Y value as an additional minimum peak height. Value must be between 0 and 1. When
0(default) this option is ignored andnoiseLevelis used.