def _sumForegroundInLambda(self, ws):
"""Sum the foreground region into a single histogram."""
foreground = self._foregroundIndices(ws)
sumIndices = [i for i in range(foreground[0], foreground[2] + 1)]
beamPosIndex = foreground[1]
foregroundWSName = self._names.withSuffix('foreground_grouped')
foregroundWS = ExtractSingleSpectrum(
InputWorkspace=ws,
OutputWorkspace=foregroundWSName,
WorkspaceIndex=beamPosIndex,
EnableLogging=self._subalgLogging)
maxIndex = ws.getNumberHistograms() - 1
foregroundYs = foregroundWS.dataY(0)
foregroundEs = foregroundWS.dataE(0)
numpy.square(foregroundEs, out=foregroundEs)
for i in sumIndices:
if i == beamPosIndex:
continue
if i < 0 or i > maxIndex:
self.log().warning('Foreground partially out of the workspace.')
addeeWSName = self._names.withSuffix('foreground_addee')
addeeWS = ExtractSingleSpectrum(
InputWorkspace=ws,
OutputWorkspace=addeeWSName,
WorkspaceIndex=i,
EnableLogging=self._subalgLogging)
addeeWS = RebinToWorkspace(
WorkspaceToRebin=addeeWS,
WorkspaceToMatch=foregroundWS,
OutputWorkspace=addeeWSName,
EnableLogging=self._subalgLogging)
ys = addeeWS.readY(0)
foregroundYs += ys
es = addeeWS.readE(0)
foregroundEs += es**2
self._cleanup.cleanup(addeeWS)
self._cleanup.cleanup(ws)
numpy.sqrt(foregroundEs, out=foregroundEs)
return foregroundWS
def _sumForegroundInLambda(self, ws):
"""Sum the foreground region into a single histogram."""
foreground = self._foregroundIndices(ws)
sumIndices = [i for i in range(foreground[0], foreground[2] + 1)]
beamPosIndex = foreground[1]
foregroundWSName = self._names.withSuffix('grouped')
foregroundWS = ExtractSingleSpectrum(InputWorkspace=ws,
OutputWorkspace=foregroundWSName,
WorkspaceIndex=beamPosIndex,
EnableLogging=self._subalgLogging)
maxIndex = ws.getNumberHistograms() - 1
foregroundYs = foregroundWS.dataY(0)
foregroundEs = foregroundWS.dataE(0)
numpy.square(foregroundEs, out=foregroundEs)
for i in sumIndices:
if i == beamPosIndex:
continue
if i < 0 or i > maxIndex:
self.log().warning(
'Foreground partially out of the workspace.')
addeeWSName = self._names.withSuffix('addee')
addeeWS = ExtractSingleSpectrum(InputWorkspace=ws,
OutputWorkspace=addeeWSName,
WorkspaceIndex=i,
EnableLogging=self._subalgLogging)
addeeWS = RebinToWorkspace(WorkspaceToRebin=addeeWS,
WorkspaceToMatch=foregroundWS,
OutputWorkspace=addeeWSName,
EnableLogging=self._subalgLogging)
ys = addeeWS.readY(0)
foregroundYs += ys
es = addeeWS.readE(0)
foregroundEs += es**2
self._cleanup.cleanup(addeeWS)
self._cleanup.cleanup(ws)
numpy.sqrt(foregroundEs, out=foregroundEs)
# Move the detector to the fractional linePosition
linePosition = ws.run().getProperty(
common.SampleLogs.LINE_POSITION).value
instr = common.instrumentName(ws)
pixelSize = common.pixelSize(instr)
dist = pixelSize * (linePosition - beamPosIndex)
if dist != 0.:
detPoint1 = ws.spectrumInfo().position(0)
detPoint2 = ws.spectrumInfo().position(20)
beta = numpy.math.atan2((detPoint2[0] - detPoint1[0]),
(detPoint2[2] - detPoint1[2]))
xvsy = numpy.math.sin(beta) * dist
mz = numpy.math.cos(beta) * dist
if instr == 'D17':
mx = xvsy
my = 0.0
rotationAxis = [0, 1, 0]
else:
mx = 0.0
my = xvsy
rotationAxis = [-1, 0, 0]
MoveInstrumentComponent(Workspace=foregroundWS,
ComponentName='detector',
X=mx,
Y=my,
Z=mz,
RelativePosition=True)
theta = foregroundWS.spectrumInfo().twoTheta(0) / 2.
RotateInstrumentComponent(Workspace=foregroundWS,
ComponentName='detector',
X=rotationAxis[0],
Y=rotationAxis[1],
Z=rotationAxis[2],
Angle=theta,
RelativeRotation=True)
return foregroundWS
