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Table of Contents
This algorithm optimizes goniometer settings and sample orientation to better index the peaks.
Name | Direction | Type | Default | Description |
---|---|---|---|---|
PeaksWorkspace | Input | PeaksWorkspace | Mandatory | Workspace of Peaks with UB loaded |
KeepGoniometerFixedfor | Input | int list | List of run Numbers for which the goniometer settings will NOT be changed | |
ModifiedPeaksWorkspace | Output | PeaksWorkspace | Mandatory | Output Workspace of Peaks with optimized sample Orientations |
FitInfoTable | Output | TableWorkspace | FitInfoTable | Workspace of Results |
AdjustSampleOffsets | Input | boolean | False | If true sample offsets will be adjusted to give better fits, otherwise they will be fixed as zero(def=true) |
OptimizeGoniometerTilt | Input | boolean | False | Set true if main error is due to a tilted Goniometer(def=false) |
Chi2overDoF | Output | number | chi squared over dof | |
nPeaks | Output | number | Number of Peaks Used | |
nParams | Output | number | Number of Parameters fit | |
nIndexed | Output | number | Number of new Peaks that WOULD be indexed at ‘MaxIndexingError’ | |
MaxAngularChange | Input | number | 5 | Max offset in degrees from current settings(def=5) |
MaxIndexingError | Input | number | 0.15 | Use only peaks whose fractional hkl values are below this tolerance(def=0.15) |
MaxHKLPeaks2Use | Input | number | -1 | If less than 0 all peaks are used, otherwise only peaks whose h,k, and l values are below the level are used(def=-1) |
MaxSamplePositionChangeMeters | Input | number | 0.0005 | Maximum Change in Sample position in meters(def=.0005) |
OutputNormalisedCovarianceMatrixOptX | Output | TableWorkspace | CovarianceInfo | The name of the TableWorkspace in which to store the final covariance matrix |
This algorithm basically optimizes h,k, and l offsets from an integer by varying the parameters sample positions, sample orientations ( chi,phi, and omega), and/or the tilt of the goniometer for an experiment.
If the crystal orientation matrix, UB, was created from one run, that run may not need to have its goniometer settings optimized. There is a property to list the run numbers to NOT have their goniometer settings changed. This entry is IGNORED if the tilt or sample positions are included in the optimization. In this case NONE of the goniometer angles, relative to any tilt, will be changed.
The goniometer angles displayed are relative to the tilt,i,e, phi is the rotation around the axis perpendicular to the tilted plane. The resultant PeaksWorkspace has the goniometer angles relative to the Y and Z axes at that time.
The crystal orientation matrix, UB matrix, from the PeaksWorkspace should index all the runs “very well”. Otherwise iterations that slowly build a UB matrix with corrected sample orientations may be needed.
The parameters for the tilt are GRotx, GRoty, and GRotz in degrees. The usage for this information is as follows:
\(rotate(x,GRotx)*rotate(y,GRoty)*rotate(z,GRotz)* SampleOrientation\) \(( i.e. omegaRot*chiRot*phiRot)).\)
Note: To optimize by the tilt in the goniometer and then by the angles or by the sample position, it is possible to run with one optimization, then using the resultant PeaksWorkspace for input, run another optimization.
Rerunning the same optimization with the result is also a good idea. If the first guess is very close, the optimize algorithm does try cases far away and may not get back to the best value. Check the chisquared values. If they increase, that optimization should probably not be used.
Example:
ws=LoadIsawPeaks("TOPAZ_3007.peaks")
LoadIsawUB(ws,"TOPAZ_3007.mat")
wsd = OptimizeCrystalPlacement(ws)
(wsPeakOut,fitInfoTable,chi2overDoF,nPeaks,nParams,nIndexed,covrianceInfoTable) = OptimizeCrystalPlacement(ws,AdjustSampleOffsets=True)
print("Chi2: {:.4f}".format(chi2overDoF))
Output:
Chi2: 0.0003
Categories: AlgorithmIndex | Crystal\Corrections