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FindPeaksConvolve v1¶

Summary ¶

Finds peaks in a dataset through the use of a convolution vector

Properties ¶

Name	Direction	Type	Default	Description
InputWorkspace	Input	MatrixWorkspace	Mandatory	An input workspace.
OutputWorkspace	Output	WorkspaceGroup	Mandatory	An output workspace.
CreateIntermediateWorkspaces	Input	boolean	False	Output workspaces showing intermediate working steps
StartWorkspaceIndex	Input	number	Optional
EndWorkspaceIndex	Input	number	Optional
EstimatedPeakExtent	Input	number	Optional	Estimated PeakExtent of the peaks to be found
EstimatedPeakExtentNBins	Input	number	Optional	Optional: Estimated PeakExtent of the peaks to be found in number of bins
IOverSigmaThreshold	Input	number	3	Minimum Signal/Noise ratio for a peak to be considered significant
MergeNearbyPeaks	Input	boolean	True	Attempt to remove inflections in the data, where a local minima/maxima occurs which is not signficiant enough to be considered a peak
FindHighestDataPointInPeak	Input	boolean	False	When searching for peaks in the raw data around the iOverSigma maxima, take the highest value, rather than favouring datapoints closer to the maxima

Finds peak centres using convolution with a shoebox kernel to approximate the second derivative, taking maxima above an I/Sigma threshold. Algorithm designed by Richard Waite and implemented by Mial Lewis.