Table of Contents
Takes a 2D workspace as input and find the minimum in each 1D spectrum. The algorithm creates a new 1D workspace containing all minima as well as their X boundaries and error. This is used in particular for single crystal as a quick way to find strong peaks.
Name | Direction | Type | Default | Description |
---|---|---|---|---|
InputWorkspace | Input | MatrixWorkspace | Mandatory | The name of the Workspace2D to take as input |
OutputWorkspace | Output | MatrixWorkspace | Mandatory | The name of the workspace in which to store the result |
RangeLower | Input | number | Optional | The X value to search from (default min) |
RangeUpper | Input | number | Optional | The X value to search to (default max) |
StartWorkspaceIndex | Input | number | 0 | Start spectrum number (default 0) |
EndWorkspaceIndex | Input | number | Optional | End spectrum number (default max) |
#Create a workspace
CreateWorkspace(OutputWorkspace='w2',
DataX='1,2,3,4,5,1,2,3,4,5',
DataY='1,0,5,3,3,2,3,1',
DataE='1,2,2,1,1,1,1,1',NSpec='2')
#Find minima
minim=Min(InputWorkspace='w2')
print("Minima for spectrum 0 is Y = {} and it occurs at X between {} and {}".
format(minim.dataY(0)[0], minim.dataX(0)[0], minim.dataX(0)[1]))
print("Minima for spectrum 1 is Y = {} and it occurs at X between {} and {}".
format(minim.dataY(1)[0], minim.dataX(1)[0], minim.dataX(1)[1]))
#Find minima with extra parameters
minim=Min(InputWorkspace='w2',RangeLower=0,RangeUpper=3,StartWorkspaceIndex =1,EndWorkspaceIndex=1)
print("The new output workspace has {} histogram, with the minimum Y = {} " \
"and it occurs at X between {} and {}".
format(minim.getNumberHistograms(), minim.dataY(0)[0], minim.dataX(0)[0], minim.dataX(0)[1]))
Output:
Minima for spectrum 0 is Y = 0.0 and it occurs at X between 2.0 and 3.0
Minima for spectrum 1 is Y = 1.0 and it occurs at X between 4.0 and 5.0
The new output workspace has 1 histogram, with the minimum Y = 2.0 and it occurs at X between 2.0 and 3.0
Categories: AlgorithmIndex | Arithmetic