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SignalOverError dialog.
Table of Contents
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | MatrixWorkspace | Mandatory | The name of the input workspace |
| OutputWorkspace | Output | MatrixWorkspace | Mandatory | The name to use for the output workspace (can be the same as the input one). |
Take a MatrixWorkspace as input, and replaces the Y values by Y/E (signal divided by error)
Example: Taking the derivative of logs
ws = CreateSampleWorkspace("Event")
wsOut = SignalOverError(ws)
print("Values from every 10th bin")
print("bin\tY\tE\tY_New")
for i in range (0,ws.blocksize(),10):
print("{}\t{:.2f}\t{:.2f}\t{:.2f}".format(i,ws.readY(0)[i],ws.readE(0)[i],wsOut.readY(0)[i]))
Output:
Values from every 10th bin
bin Y E Y_New
0 7.00 2.65 2.65
10 7.00 2.65 2.65
20 7.00 2.65 2.65
30 7.00 2.65 2.65
40 7.00 2.65 2.65
50 257.00 16.03 16.03
60 7.00 2.65 2.65
70 7.00 2.65 2.65
80 7.00 2.65 2.65
90 7.00 2.65 2.65
Categories: AlgorithmIndex | Arithmetic\Errors