OneMinusExponentialCor 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). |
| C | Input | number | 1 | The positive value by which the entire exponent calculation is multiplied (see formula below). |
| C1 | Input | number | 1 | The value by which the entire calculation is multiplied (see formula below). |
| Operation | Input | string | Divide | Whether to divide (the default) or multiply the data by the correction function. Allowed values: [‘Multiply’, ‘Divide’] |
This algorithm corrects the data and error values on a workspace by the
value of one minus an exponential function of the form
. This formula is calculated for each
data point, with the value of x being the mid-point of the bin in the
case of histogram data. The data and error values are either divided or
multiplied by the value of this function, according to the setting of
the Operation property.
This algorithm is now event aware.
This correction is applied to a copy of the input workpace and put into output workspace. If the input and output workspaces have the same name, the operation is applied to the workspace of that name.
Example:
ws=CreateWorkspace([1,2,3],[1,1,1])
print "You can divide the data by the factor"
wsOut=OneMinusExponentialCor(ws,2,3,"Divide")
print wsOut.readY(0)
print "Or multiply"
wsOut=OneMinusExponentialCor(ws,2,3,"Multiply")
print wsOut.readY(0)
Output:
You can divide the data by the factor
[ 0.38550588 0.33955245 0.33416164]
Or multiply
[ 2.59399415 2.94505308 2.99256374]
Categories: Algorithms | CorrectionFunctions