MatrixWorkspace_sptr
PolarizationCorrection::copyShapeAndFill(MatrixWorkspace_sptr &base,
const double &value) {
MatrixWorkspace_sptr wsTemplate = WorkspaceFactory::Instance().create(base);
// Copy the x-array across to the new workspace.
for (size_t i = 0; i < wsTemplate->getNumberHistograms(); ++i) {
wsTemplate->setSharedX(i, base->sharedX(i));
}
auto zeroed = this->multiply(wsTemplate, 0);
auto filled = this->add(zeroed, value);
return filled;
}
/** Carries out the bin-by-bin normalization
* @param inputWorkspace The input workspace
* @param outputWorkspace The result workspace
*/
void NormaliseToMonitor::normaliseBinByBin(
const MatrixWorkspace_sptr &inputWorkspace,
MatrixWorkspace_sptr &outputWorkspace) {
EventWorkspace_sptr inputEvent =
boost::dynamic_pointer_cast<EventWorkspace>(inputWorkspace);
// Only create output workspace if different to input one
if (outputWorkspace != inputWorkspace) {
if (inputEvent) {
outputWorkspace = inputWorkspace->clone();
} else
outputWorkspace = create<MatrixWorkspace>(*inputWorkspace);
}
auto outputEvent =
boost::dynamic_pointer_cast<EventWorkspace>(outputWorkspace);
const auto &inputSpecInfo = inputWorkspace->spectrumInfo();
const auto &monitorSpecInfo = m_monitor->spectrumInfo();
const auto specLength = inputWorkspace->blocksize();
for (auto &workspaceIndex : m_workspaceIndexes) {
// Get hold of the monitor spectrum
const auto &monX = m_monitor->binEdges(workspaceIndex);
auto monY = m_monitor->counts(workspaceIndex);
auto monE = m_monitor->countStandardDeviations(workspaceIndex);
size_t timeIndex = 0;
if (m_scanInput)
timeIndex = monitorSpecInfo.spectrumDefinition(workspaceIndex)[0].second;
// Calculate the overall normalization just the once if bins are all
// matching
if (m_commonBins)
this->normalisationFactor(monX, monY, monE);
const size_t numHists = inputWorkspace->getNumberHistograms();
// Flag set when a division by 0 is found
bool hasZeroDivision = false;
Progress prog(this, 0.0, 1.0, numHists);
// Loop over spectra
PARALLEL_FOR_IF(
Kernel::threadSafe(*inputWorkspace, *outputWorkspace, *m_monitor))
for (int64_t i = 0; i < int64_t(numHists); ++i) {
PARALLEL_START_INTERUPT_REGION
prog.report();
const auto &specDef = inputSpecInfo.spectrumDefinition(i);
if (!spectrumDefinitionsMatchTimeIndex(specDef, timeIndex))
continue;
const auto &X = inputWorkspace->binEdges(i);
// If not rebinning, just point to our monitor spectra, otherwise create
// new vectors
auto Y = (m_commonBins ? monY : Counts(specLength));
auto E = (m_commonBins ? monE : CountStandardDeviations(specLength));
if (!m_commonBins) {
// ConvertUnits can give X vectors of all zeros - skip these, they
// cause
// problems
if (X.back() == 0.0 && X.front() == 0.0)
continue;
// Rebin the monitor spectrum to match the binning of the current data
// spectrum
VectorHelper::rebinHistogram(
monX.rawData(), monY.mutableRawData(), monE.mutableRawData(),
X.rawData(), Y.mutableRawData(), E.mutableRawData(), false);
// Recalculate the overall normalization factor
this->normalisationFactor(X, Y, E);
}
if (inputEvent) {
// --- EventWorkspace ---
EventList &outEL = outputEvent->getSpectrum(i);
outEL.divide(X.rawData(), Y.mutableRawData(), E.mutableRawData());
} else {
// --- Workspace2D ---
auto &YOut = outputWorkspace->mutableY(i);
auto &EOut = outputWorkspace->mutableE(i);
const auto &inY = inputWorkspace->y(i);
const auto &inE = inputWorkspace->e(i);
outputWorkspace->setSharedX(i, inputWorkspace->sharedX(i));
// The code below comes more or less straight out of Divide.cpp
for (size_t k = 0; k < specLength; ++k) {
// Get the input Y's
const double leftY = inY[k];
const double rightY = Y[k];
if (rightY == 0.0) {
hasZeroDivision = true;
}
// Calculate result and store in local variable to avoid overwriting
// original data if output workspace is same as one of the input
// ones
const double newY = leftY / rightY;
if (fabs(rightY) > 1.0e-12 && fabs(newY) > 1.0e-12) {
const double lhsFactor = (inE[k] < 1.0e-12 || fabs(leftY) < 1.0e-12)
? 0.0
: pow((inE[k] / leftY), 2);
const double rhsFactor =
E[k] < 1.0e-12 ? 0.0 : pow((E[k] / rightY), 2);
EOut[k] = std::abs(newY) * sqrt(lhsFactor + rhsFactor);
}
// Now store the result
YOut[k] = newY;
} // end Workspace2D case
} // end loop over current spectrum
PARALLEL_END_INTERUPT_REGION
} // end loop over spectra
PARALLEL_CHECK_INTERUPT_REGION
if (hasZeroDivision) {
g_log.warning() << "Division by zero in some of the bins.\n";
}
if (inputEvent)
outputEvent->clearMRU();
}
}
