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# EnggFocus v1¶

## Summary¶

This algorithm is deprecated as of May 2021, consider using DiffractionFocussing instead.Focuses a run by summing up all the spectra into a single one.

## Properties¶

Name

Direction

Type

Default

Description

InputWorkspace

Input

MatrixWorkspace

Mandatory

Workspace with the run to focus.

OutputWorkspace

Output

MatrixWorkspace

Mandatory

A workspace with focussed data

DetectorPositions

Input

TableWorkspace

Calibrated detector positions. If not specified, default ones are used.

Input

MatrixWorkspace

Workspace with the Vanadium (correction and calibration) run. Alternatively, when the Vanadium run has been already processed, the properties can be used

VanIntegrationWorkspace

Input

TableWorkspace

Results of integrating the spectra of a Vanadium run, with one column (integration result) and one row per spectrum. This can be used in combination with OutVanadiumCurveFits from a previous execution and VanadiumWorkspace to provide pre-calculated values for Vanadium correction.

VanCurvesWorkspace

Input

MatrixWorkspace

A workspace2D with the fitting workspaces corresponding to the instrument banks. This workspace has three spectra per bank, as produced by the algorithm Fit. This is meant to be used as an alternative input VanadiumWorkspace for testing and performance reasons. If not given, no workspace is generated.

Bank

Input

string

Which bank to focus: It can be specified as 1 or 2, or equivalently, North or South. See also SpectrumNumbers for a more flexible alternative to select specific detectors. Allowed values: [‘’, ‘North’, ‘South’, ‘Both: North, South’, ‘1’, ‘2’]

SpectrumNumbers

Input

string

Sets the spectrum numbers for the detectors that should be considered in the focusing operation (all others will be ignored). This option cannot be used together with Bank, as they overlap. You can give multiple ranges, for example: “0-99”, or “0-9, 50-59, 100-109”.

NormaliseByCurrent

Input

boolean

True

Normalize the input data by applying the NormaliseByCurrent algorithm which use the log entry gd_proton_charge. If there is no proton charge the data are not normalised.

Input

dbl list

0,19930,39960,59850,79930

List of minimum bin values to mask, separated by commas.

Input

dbl list

5300,20400,40450,62000,82670

List of maximum bin values to mask, separated by commas.

## Description¶

Warning

This algorithm is being developed for a specific instrument. It might get changed or even removed without a notification, should instrument scientists decide to do so.

Performs a Time-of-flight (TOF) to dSpacing conversion using calibrated pixel positions, focuses the values in dSpacing (summing them up into a single spectrum) and then converts them back to TOF. The output workspace produced by this algorithm has one spectrum. The algorithm also normalizes the spectra values by current or proton charge, using NormaliseByCurrent v1 so that the output workspace is focused and normalized. In the focusing process, several bins will be masked in the spectra as well. A list of minimum and maximum TOF bin boundaries for the masking can be given. The default values of this list is set for the ENGIN-X instrument.

If a table of detector positions is passed as an input property, the detectors are calibrated before performing the conversions between TOF and dSpacing. The table with individual detector or pixel positions can be generated with EnggCalibrateFull v1.

In any case, before focusing the workspace, the spectra are corrected by using data from a Vanadium run (passed in the VanadiumWorkspace property). These corrections include two steps: detector sensitivity correction and pixel-by-pixel correction on a per-bank basis. See also EnggCalibrateFull v1 where the same correction is applied.

The pixel-by-pixel Vanadium correction is based on curves fitted for every bank. These curves can be obtained via the output property OutVanadiumCurveFits. For every bank, the curve is fitted to the summation of all the spectra of the bank, and then every spectra of the bank is divided by the bank curve.

## Usage¶

Note

Example - Simple focussing of an EnginX data file:

# Run the algorithm on an EnginX file

focussed_ws = EnggFocus(InputWorkspace=data_ws,
VanIntegrationWorkspace=van_integ_ws,
VanCurvesWorkspace=van_curves_ws,
Bank='1')

# Should have one spectrum only
print("No. of spectra: {}".format(focussed_ws.getNumberHistograms()))

# Print a few arbitrary bins where higher intensities are expected
fmt = "For TOF of {0:.3f} normalized intensity is {1:.3f}"
for bin in [3169, 6037, 7124]:


Output:

No. of spectra: 1
For TOF of 20165.642 normalized intensity is 1.769
For TOF of 33547.826 normalized intensity is 2.895
For TOF of 38619.804 normalized intensity is 5.181


Categories: AlgorithmIndex | Diffraction\Engineering

## Source¶

Python: EnggFocus.py