VesuvioThickness dialog.
Table of Contents
| 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 | TableWorkspace | 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 | TableWorkspace | Mandatory | Output Workspace containing the iterative approximation for Transmission. |
Determines the sample density for vesuvio based on sample transmission and composite masses
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 desnity is: %f” % dens_tbl.cell(9,1) print “The final transmission is: %f” % trans_tbl.cell(9,1)
Output:
The final density is: 24.451460 The final transmission is: 0.831000
Categories: Algorithms | Inelastic\Indirect\Vesuvio
Python: VesuvioThickness.py