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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	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.

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