MayersSampleCorrection v1¶

MayersSampleCorrection dialog.

Table of Contents

Summary
Properties
Description
Usage
References
Source

Summary ¶

Corrects the input data for the effects of attenuation & multiple scattering

Properties ¶

Name	Direction	Type	Default	Description
InputWorkspace	Input	MatrixWorkspace	Mandatory	Input workspace with X units in TOF. The workspace must also have a sample with a cylindrical shape and an instrument with a defined source and sample position.
MultipleScattering	Input	boolean	False	If True then also correct for the effects of multiple scattering.Please note that the MS correction assumes the scattering is elastic.
MSEvents	Input	number	10000	Controls the number of second-scatter events generated. Only applicable where MultipleScattering=True.
MSRuns	Input	number	10	Controls the number of simulations, each containing MSEvents, performed. The final MS correction is computed as the average over the runs. Only applicablewhere MultipleScattering=True.
OutputWorkspace	Output	MatrixWorkspace	Mandatory	An output workspace.

Calculates and applies corrections due to the effects of absorption, and optionally multiple scattering, to the signal and error values for a given workspace. The full background to the algorithm is described by Lindley et al. [1] and is briefly described here.

The aim is to correct the number of neutrons detected at a given detector ( $N_d$ ) to compute the number of incident neutrons ( $N_0$ ):

$N_d = \frac{N_0 nV}{A_s} \frac{\sigma_s}{4\pi} \frac{\eta\Delta\Omega}{1-\beta}$

where $n$ is the sample number density, $V$ is the sample volume, $A_s$ is the self-shielding factor, $\sigma_s$ is the scattering cross section, $\eta$ is the detector efficiency, $\Delta\Omega$ is the solid angle and $\beta$ is the ratio of twice to once scattered intensity.

The following assumptions are made:

the sample shape is a cylinder
for multiple scattering:
- the scattering is assumed to be elastic and isotropic
- the ratio of successive orders of scattering are equal.

The input time of flight range combined with the cylinder radius ( $r$ ) and scattering cross-sections gives a range of $\mu r$ for the cylinder, where $\mu$ is the inverse attenutation length. The $\mu r$ range is divided in to a discrete number of points for each point:

the attentuation factor is computed by numerical integration over the sample cylinder
the multiple scattering factor (if requested) is computed by simulating over a fixed number of second order scattering events and computing the ratio of second order and first order scattering.

A weighted least-squares fit is applied to both the set of attenuation and multiple scattering factors to allow interpolation of the correction factor from any time-of-flight value in the input range. For each time-of-flight value the factor is computed from the fit coefficients and the correction applied multiplicatively:

$\begin{aligned} y_{out} &= y_{in} * corrfact \\ e_{out} &= y_{out} * e_{in} / y_{in} \end{aligned}$

The above procedure is repeated separately for each spectrum in the workspace.

Usage ¶

Example - Correct Vanadium For Both Absorption & Multiple Scattering

# Create a fake workspace with TOF data
sample_ws = CreateSampleWorkspace(Function='Powder Diffraction',
                                  NumBanks=1,BankPixelWidth=1,XUnit='TOF',
                                  XMin=1000,XMax=10000)
# Set meta data about shape and material
cyl_height_cm = 4.0
cyl_radius_cm = 0.25
material = 'V'
num_density = 0.07261
SetSample(sample_ws,
    Geometry={'Shape': 'Cylinder', 'Height': cyl_height_cm,
              'Radius': cyl_radius_cm, 'Center': [0.0,0.0,0.0]},
    Material={'ChemicalFormula': material, 'SampleNumberDensity': num_density})

# Run corrections
corrected_sample = MayersSampleCorrection(sample_ws,
                                          MultipleScattering=True)

# Print a bin
print "Uncorrected signal: {0:.4f}".format(sample_ws.readY(0)[25])
print "Corrected signal: {0:.4f}".format(corrected_sample.readY(0)[25])

Output:

Uncorrected signal: 0.0556
Corrected signal: 0.0120

References ¶

[1]	Lindley, E.J., & Mayers, J. Cywinski, R. (Ed.). (1988). Experimental method and corrections to data. United Kingdom: Adam Hilger. - https://inis.iaea.org/search/search.aspx?orig_q=RN:20000574

Categories: Algorithms | CorrectionFunctions\AbsorptionCorrections