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VesuvioThickness v1¶
Summary¶
Produces the sample density for vesuvio based on sample transmission and composite masses
Properties¶
Name |
Direction |
Type |
Default |
Description |
|---|---|---|---|---|
Masses |
Input |
dbl list |
The masses that make up the sample |
|
Amplitudes |
Input |
dbl list |
The amplitudes of the peaks |
|
TransmissionGuess |
Input |
number |
1 |
Initial guess for the transmission |
Thickness |
Input |
number |
5 |
The thickness of the sample in centimetres (cm) |
NumberDensity |
Input |
number |
1 |
The Number Density of the sample material |
DensityWorkspace |
Output |
Mandatory |
Output Workspace containing the iterative approximations for Sample Density. The final Y value in the first spectrum will be the last iteration |
|
TransmissionWorkspace |
Output |
Mandatory |
Output Workspace containing the iterative approximation for Transmission. |
Description¶
Determines the sample density for vesuvio based on sample transmission and composite masses
Usage¶
Example - VesuvioThickness
# Algorithm inputs
masses = [1.0079,27.0,91.0]
amplitudes = [0.9301589,2.9496644e-02,4.0345035e-02]
trans_guess = 0.831
thickness = 5.0
number_density = 1.0
# Run algorithm
dens_tbl, trans_tbl = VesuvioThickness(masses, amplitudes, trans_guess, thickness, number_density)
# Test output
print("The final density is: %.4f" % dens_tbl.cell(9,1))
print("The final transmission is: %.4f" % trans_tbl.cell(9,1))
Output:
The final density is: 24.4515
The final transmission is: 0.8310
Categories: AlgorithmIndex | Inelastic\Indirect\Vesuvio
Source¶
Python: VesuvioThickness.py