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EQSANSResolution v1¶
Summary¶
Calculate the Q resolution for EQSANS data.
See Also¶
Properties¶
Name |
Direction |
Type |
Default |
Description |
|---|---|---|---|---|
InputWorkspace |
InOut |
Mandatory |
Name the workspace to calculate the resolution for |
|
ReducedWorkspace |
Input |
Mandatory |
I(Q) workspace |
|
OutputBinning |
Input |
dbl list |
Mandatory |
|
MinWavelength |
Input |
number |
Optional |
Minimum wavelength to use. |
MaxWavelength |
Input |
number |
Optional |
Maximum wavelength to use. |
PixelSizeX |
Input |
number |
5.15 |
Pixel size in the X direction (mm). |
PixelSizeY |
Input |
number |
5.15 |
Pixel size in the Y direction (mm). |
SampleApertureRadius |
Input |
number |
5 |
Sample aperture radius (mm). |
SourceApertureRadius |
Input |
number |
10 |
Source aperture radius (mm). |
DeltaT |
Input |
number |
250 |
TOF spread (microsec). |
Description¶
This algorithm extends the TOFSANSResolution to implement the experimentally determined TOF resolution for EQSANS.
The Q resolution for a TOF SANS has two components: a geometrical contribution and a contributions from the resolution in TOF.
The TOF resolution for EQSANS was measured to be:
\(\Delta T = y_0 + A ( f/(1+\exp((\lambda-x^0_1)/k_1)) + (1-f)/(1+\exp((\lambda-x^0_2)/k_2)) )\)
where \(\lambda\) is the wavelength and
\(y_0 = -388\)
\(A = 3838\)
\(f = 0.04398\)
\(x^0_1 = 3.392\)
\(x^0_2 = 134.3\)
\(k_1 = -0.5587\)
\(k_2 = -65.46\)
This algorithm is generally not called directly. It’s called by EQSANSAzimuthalAverage1D after the calculation of I(Q). It can only be applied to an I(Q) workspace.
Categories: AlgorithmIndex | SANS
Source¶
C++ header: EQSANSResolution.h
C++ source: EQSANSResolution.cpp