/** Loads, checks and passes back the values passed to the algorithm
* @param whiteBeam1 :: A white beam vanadium spectrum that will be used to
* check detector efficiency variations
* @param whiteBeam2 :: The other white beam vanadium spectrum from the same
* instrument to use for comparison
* @param variation :: The maximum fractional variation above the median that is
* allowed for god detectors
* @param startWsIndex :: Index number of the first spectrum to use
* @param endWsIndex :: Index number of the last spectrum to use
* @throw invalid_argument if there is an incapatible property value and so the
* algorithm can't continue
*/
void DetectorEfficiencyVariation::retrieveProperties(
API::MatrixWorkspace_sptr &whiteBeam1,
API::MatrixWorkspace_sptr &whiteBeam2, double &variation, int &startWsIndex,
int &endWsIndex) {
whiteBeam1 = getProperty("WhiteBeamBase");
whiteBeam2 = getProperty("WhiteBeamCompare");
if (whiteBeam1->getInstrument()->getName() !=
whiteBeam2->getInstrument()->getName()) {
throw std::invalid_argument("The two input white beam vanadium workspaces "
"must be from the same instrument");
}
int maxWsIndex = static_cast<int>(whiteBeam1->getNumberHistograms()) - 1;
if (maxWsIndex !=
static_cast<int>(whiteBeam2->getNumberHistograms()) -
1) { // we would get a crash later on if this were not true
throw std::invalid_argument("The input white beam vanadium workspaces must "
"be have the same number of histograms");
}
variation = getProperty("Variation");
startWsIndex = getProperty("StartWorkspaceIndex");
if ((startWsIndex < 0) || (startWsIndex > maxWsIndex)) {
g_log.warning("StartWorkspaceIndex out of range, changed to 0");
startWsIndex = 0;
}
endWsIndex = getProperty("EndWorkspaceIndex");
if (endWsIndex == Mantid::EMPTY_INT())
endWsIndex = maxWsIndex;
if ((endWsIndex < 0) || (endWsIndex > maxWsIndex)) {
g_log.warning(
"EndWorkspaceIndex out of range, changed to max Workspace number");
endWsIndex = maxWsIndex;
}
if ((endWsIndex < startWsIndex)) {
g_log.warning(
"EndWorkspaceIndex can not be less than the StartWorkspaceIndex, "
"changed to max Workspace number");
endWsIndex = maxWsIndex;
}
}
/// Validate the some of the algorithm's input properties.
std::map<std::string, std::string> ReflectometrySumInQ::validateInputs() {
std::map<std::string, std::string> issues;
API::MatrixWorkspace_sptr inWS;
Indexing::SpectrumIndexSet indices;
// validateInputs is called on the individual workspaces when the algorithm
// is executed, it but may get called on a group from AlgorithmDialog. This
// isn't handled in getWorkspaceAndIndices. We should fix this properly but
// for now skip validation for groups to avoid an exception. See #22933
try {
std::tie(inWS, indices) =
getWorkspaceAndIndices<API::MatrixWorkspace>(Prop::INPUT_WS);
} catch (std::runtime_error &) {
return issues;
}
const auto &spectrumInfo = inWS->spectrumInfo();
const double beamCentre = getProperty(Prop::BEAM_CENTRE);
const size_t beamCentreIndex = static_cast<size_t>(beamCentre);
bool beamCentreFound{false};
for (const auto i : indices) {
if (spectrumInfo.isMonitor(i)) {
issues["InputWorkspaceIndexSet"] = "Index set cannot include monitors.";
break;
} else if ((i > 0 && spectrumInfo.isMonitor(i - 1)) ||
(i < spectrumInfo.size() - 1 && spectrumInfo.isMonitor(i + 1))) {
issues["InputWorkspaceIndexSet"] =
"A neighbour to any detector in the index set cannot be a monitor";
break;
}
if (i == beamCentreIndex) {
beamCentreFound = true;
break;
}
}
if (!beamCentreFound) {
issues[Prop::BEAM_CENTRE] =
"Beam centre is not included in InputWorkspaceIndexSet.";
}
return issues;
}
/*
* Convert DAS log to a vector of absolute time
* @param orderedtofs: tofs with abstimevec
*/
void ProcessDasNexusLog::convertToAbsoluteTime(
API::MatrixWorkspace_sptr ws, std::string logname,
std::vector<Kernel::DateAndTime> &abstimevec,
std::vector<double> &orderedtofs) {
// 1. Get log
Kernel::Property *log = ws->run().getProperty(logname);
Kernel::TimeSeriesProperty<double> *tslog =
dynamic_cast<Kernel::TimeSeriesProperty<double> *>(log);
if (!tslog)
throw std::runtime_error("Invalid time series log: it could not be cast "
"(interpreted) as a time series property");
std::vector<Kernel::DateAndTime> times = tslog->timesAsVector();
std::vector<double> values = tslog->valuesAsVector();
// 2. Get converted
size_t numsamepulses = 0;
std::vector<double> tofs;
Kernel::DateAndTime prevtime(0);
for (size_t i = 0; i < times.size(); i++) {
Kernel::DateAndTime tnow = times[i];
if (tnow > prevtime) {
// (a) Process previous logs
std::sort(tofs.begin(), tofs.end());
for (double tof : tofs) {
Kernel::DateAndTime temptime =
prevtime + static_cast<int64_t>(tof * 100);
abstimevec.push_back(temptime);
orderedtofs.push_back(tof);
}
// (b) Clear
tofs.clear();
// (c) Update time
prevtime = tnow;
} else {
numsamepulses++;
}
// (d) Push the current value
tofs.push_back(values[i]);
} // ENDFOR
// Clear the last
if (!tofs.empty()) {
// (a) Process previous logs: note value is in unit of 100 nano-second
std::sort(tofs.begin(), tofs.end());
for (double tof : tofs) {
Kernel::DateAndTime temptime = prevtime + static_cast<int64_t>(tof * 100);
abstimevec.push_back(temptime);
orderedtofs.push_back(tof);
}
} else {
throw std::runtime_error("Impossible for this to happen!");
}
} // END Function
std::vector<std::vector<size_t> > DetectorDiagnostic::makeInstrumentMap(API::MatrixWorkspace_sptr countsWS)
{
std::vector<std::vector<size_t> > mymap;
std::vector<size_t> single;
for(size_t i=0;i < countsWS->getNumberHistograms();i++)
{
single.push_back(i);
}
mymap.push_back(single);
return mymap;
}
void ConvertEmptyToTof::setTofInWS(const std::vector<double> &tofAxis,
API::MatrixWorkspace_sptr outputWS) {
const size_t numberOfSpectra = m_inputWS->getNumberHistograms();
g_log.debug() << "Setting the TOF X Axis for numberOfSpectra="
<< numberOfSpectra << '\n';
auto axisPtr = Kernel::make_cow<HistogramData::HistogramX>(tofAxis);
HistogramData::BinEdges edges(tofAxis);
Progress prog(this, 0.0, 0.2, numberOfSpectra);
for (size_t i = 0; i < numberOfSpectra; ++i) {
// Replace bin edges with tof axis
outputWS->setBinEdges(i, edges);
prog.report();
} // end for i
outputWS->getAxis(0)->unit() = UnitFactory::Instance().create("TOF");
}
/** Smoothing using Butterworth filter.
* @param n :: The cutoff frequency control parameter.
* Cutoff frequency = my/n where my is the
* number of sample points in the data.
* As with the "Zeroing" case, the cutoff
* frequency is truncated to an integer value
* and set to 1 if the truncated value was zero.
* @param order :: The order of the Butterworth filter, 1, 2, etc.
* This must be a positive integer.
* @param unfilteredWS :: workspace for storing the unfiltered Fourier
* transform of the input spectrum
* @param filteredWS :: workspace for storing the filtered spectrum
*/
void FFTSmooth2::Butterworth(int n, int order,
API::MatrixWorkspace_sptr &unfilteredWS,
API::MatrixWorkspace_sptr &filteredWS) {
int mx = static_cast<int>(unfilteredWS->readX(0).size());
int my = static_cast<int>(unfilteredWS->readY(0).size());
int ny = my / n;
if (ny == 0)
ny = 1;
filteredWS =
API::WorkspaceFactory::Instance().create(unfilteredWS, 2, mx, my);
const Mantid::MantidVec &Yr = unfilteredWS->readY(0);
const Mantid::MantidVec &Yi = unfilteredWS->readY(1);
const Mantid::MantidVec &X = unfilteredWS->readX(0);
Mantid::MantidVec &yr = filteredWS->dataY(0);
Mantid::MantidVec &yi = filteredWS->dataY(1);
Mantid::MantidVec &xr = filteredWS->dataX(0);
Mantid::MantidVec &xi = filteredWS->dataX(1);
xr.assign(X.begin(), X.end());
xi.assign(X.begin(), X.end());
yr.assign(Yr.size(), 0);
yi.assign(Yr.size(), 0);
double cutoff = ny;
for (int i = 0; i < my; i++) {
double scale = 1.0 / (1.0 + pow(i / cutoff, 2 * order));
yr[i] = scale * Yr[i];
yi[i] = scale * Yi[i];
}
}
/** Smoothing by zeroing.
* @param n :: The order of truncation
* @param unfilteredWS :: workspace for storing the unfiltered Fourier
* transform of the input spectrum
* @param filteredWS :: workspace for storing the filtered spectrum
*/
void FFTSmooth2::zero(int n, API::MatrixWorkspace_sptr &unfilteredWS,
API::MatrixWorkspace_sptr &filteredWS) {
int mx = static_cast<int>(unfilteredWS->readX(0).size());
int my = static_cast<int>(unfilteredWS->readY(0).size());
int ny = my / n;
if (ny == 0)
ny = 1;
filteredWS =
API::WorkspaceFactory::Instance().create(unfilteredWS, 2, mx, my);
const Mantid::MantidVec &Yr = unfilteredWS->readY(0);
const Mantid::MantidVec &Yi = unfilteredWS->readY(1);
const Mantid::MantidVec &X = unfilteredWS->readX(0);
Mantid::MantidVec &yr = filteredWS->dataY(0);
Mantid::MantidVec &yi = filteredWS->dataY(1);
Mantid::MantidVec &xr = filteredWS->dataX(0);
Mantid::MantidVec &xi = filteredWS->dataX(1);
xr.assign(X.begin(), X.end());
xi.assign(X.begin(), X.end());
yr.assign(Yr.size(), 0);
yi.assign(Yr.size(), 0);
for (int i = 0; i < ny; i++) {
yr[i] = Yr[i];
yi[i] = Yi[i];
}
}
/***
* This will ensure the spectrum numbers do not overlap by starting the second
*on at the first + 1
*
* @param ws1 The first workspace supplied to the algorithm.
* @param ws2 The second workspace supplied to the algorithm.
* @param output The workspace that is going to be returned by the algorithm.
*/
void ConjoinWorkspaces::fixSpectrumNumbers(API::MatrixWorkspace_const_sptr ws1,
API::MatrixWorkspace_const_sptr ws2,
API::MatrixWorkspace_sptr output) {
bool needsFix(false);
if (this->getProperty("CheckOverlapping")) {
// If CheckOverlapping is required, then either skip fixing spectrum number
// or get stopped by an exception
if (!m_overlapChecked)
checkForOverlap(ws1, ws2, true);
needsFix = false;
} else {
// It will be determined later whether spectrum number needs to be fixed.
needsFix = true;
}
if (!needsFix)
return;
// is everything possibly ok?
specid_t min;
specid_t max;
getMinMax(output, min, max);
if (max - min >= static_cast<specid_t>(
output->getNumberHistograms())) // nothing to do then
return;
// information for remapping the spectra numbers
specid_t ws1min;
specid_t ws1max;
getMinMax(ws1, ws1min, ws1max);
// change the axis by adding the maximum existing spectrum number to the
// current value
for (size_t i = ws1->getNumberHistograms(); i < output->getNumberHistograms();
i++) {
specid_t origid;
origid = output->getSpectrum(i)->getSpectrumNo();
output->getSpectrum(i)->setSpectrumNo(origid + ws1max);
}
}
/** Checks and retrieves the requested spectrum out of the input workspace
* @param inputWorkspace The input workspace.
* @param spectra_num The spectra number.
* @returns A workspace containing the monitor spectrum only.
* @returns spectra number (WS ID) which is used to normalize by.
* @throw std::runtime_error If the properties are invalid
*/
API::MatrixWorkspace_sptr NormaliseToMonitor::getInWSMonitorSpectrum(API::MatrixWorkspace_sptr inputWorkspace,int &spectra_num)
{
// this is the index of the spectra within the workspace and we need to indetnify it either from DetID or fron SpecID
// size_t spectra_num(-1);
// try monitor spectrum. If it is specified, it overides everything
int monitorSpec = getProperty("MonitorSpectrum");
if(monitorSpec<0){
// Get hold of the monitor spectrum through detector ID
int monitorID = getProperty("MonitorID");
if (monitorID < 0) {
throw std::runtime_error("Both MonitorSpectrum and MonitorID can not be negative");
}
// set spectra of detector's ID of one selected monitor ID
std::vector<detid_t> detID(1,monitorID);
// got the index of correspondent spectras (should be only one).
std::vector<size_t> indexList;
inputWorkspace->getIndicesFromDetectorIDs(detID,indexList);
if(indexList.empty()){
throw std::runtime_error("Can not find spectra, coorespoinding to the requested monitor ID");
}
if(indexList.size()>1){
throw std::runtime_error("More then one spectra coorespods to the requested monitor ID, which is unheard of");
}
spectra_num = (int)indexList[0];
}else{ // monitor spectrum is specified.
spec2index_map specs;
const SpectraAxis* axis = dynamic_cast<const SpectraAxis*>(inputWorkspace->getAxis(1));
if ( ! axis)
{
throw std::runtime_error("Cannot retrieve monitor spectrum - spectrum numbers not attached to workspace");
}
axis->getSpectraIndexMap(specs);
if ( ! specs.count(monitorSpec) )
{
throw std::runtime_error("Input workspace does not contain spectrum number given for MonitorSpectrum");
}
spectra_num = (int)specs[monitorSpec];
}
return this->extractMonitorSpectrum(inputWorkspace,spectra_num);
}
/** Load logs from Nexus file. Logs are expected to be in
* /run/sample group of the file.
* @param ws :: The workspace to load the logs to.
* @param entry :: The Nexus entry
* @param period :: The period of this workspace
*/
void LoadMuonNexus2::loadLogs(API::MatrixWorkspace_sptr ws, NXEntry &entry,
int period) {
// Avoid compiler warning
(void)period;
std::string start_time = entry.getString("start_time");
std::string sampleName = entry.getString("sample/name");
NXMainClass runlogs = entry.openNXClass<NXMainClass>("sample");
ws->mutableSample().setName(sampleName);
for (std::vector<NXClassInfo>::const_iterator it = runlogs.groups().begin();
it != runlogs.groups().end(); ++it) {
NXLog nxLog = runlogs.openNXLog(it->nxname);
Kernel::Property *logv = nxLog.createTimeSeries(start_time);
if (!logv)
continue;
ws->mutableRun().addLogData(logv);
}
ws->setTitle(entry.getString("title"));
if (entry.containsDataSet("notes")) {
ws->setComment(entry.getString("notes"));
}
std::string run_num = std::to_string(entry.getInt("run_number"));
// The sample is left to delete the property
ws->mutableRun().addLogData(
new PropertyWithValue<std::string>("run_number", run_num));
ws->populateInstrumentParameters();
}
/** Execute the algorithm.
*/
void CalculateDIFC::exec() {
DataObjects::OffsetsWorkspace_const_sptr offsetsWs =
getProperty("OffsetsWorkspace");
API::ITableWorkspace_const_sptr calibWs = getProperty("CalibrationWorkspace");
API::MatrixWorkspace_sptr inputWs = getProperty("InputWorkspace");
API::MatrixWorkspace_sptr outputWs = getProperty("OutputWorkspace");
if ((!bool(inputWs == outputWs)) ||
(!bool(boost::dynamic_pointer_cast<SpecialWorkspace2D>(outputWs)))) {
outputWs = boost::dynamic_pointer_cast<MatrixWorkspace>(
boost::make_shared<SpecialWorkspace2D>(inputWs->getInstrument()));
outputWs->setTitle("DIFC workspace");
}
// convert to actual type being used
DataObjects::SpecialWorkspace2D_sptr outputSpecialWs =
boost::dynamic_pointer_cast<DataObjects::SpecialWorkspace2D>(outputWs);
API::Progress progress(this, 0.0, 1.0, inputWs->getNumberHistograms());
if (bool(calibWs)) {
calculateFromTable(progress, *outputSpecialWs, *calibWs);
} else {
// this method handles calculating from instrument geometry as well
const auto &detectorInfo = inputWs->detectorInfo();
calculateFromOffset(progress, *outputSpecialWs, offsetsWs.get(),
detectorInfo);
}
setProperty("OutputWorkspace", outputWs);
}
/**
* Here is the main logic to perform the transformation, to calculate the bin position in degree for each spectrum.
*
* The first part of the method is to check if the pixel position is inside the ring defined as minRadio and maxRadio.
*
* To do this, it deducts the pixel position. This deduction follows the followin assumption:
*
* - the spectrum_index == row number
* - the position in the 'Y' direction is given by getAxis(1)[spectrum_index]
* - the position in the 'X' direction is the central point of the bin (dataX[column] + dataX[column+1])/2
*
* Having the position of the pixel, as defined above, if the distance is outside the ring defined by minRadio, maxRadio,
* it defines the bin position as -1.
*
* If the pixel is inside the ring, it calculates the angle of the pixel and calls fromAngleToBin to define the bin
* position.
* @param ws: pointer to the workspace
* @param spectrum_index: index of the spectrum
* @param bins_pos: bin positions (for each column inside the spectrum, the correspondent bin_pos)
*/
void RingProfile::getBinForPixel(const API::MatrixWorkspace_sptr ws,
int spectrum_index, std::vector<int> & bins_pos ){
if (bins_pos.size() != ws->dataY(spectrum_index).size())
throw std::runtime_error("Invalid bin positions vector");
API::NumericAxis *oldAxis2 = dynamic_cast<API::NumericAxis*>(ws->getAxis(1));
// assumption y position is the ws->getAxis(1)(spectrum_index)
// calculate ypos, the difference of y - centre and the square of this difference
double ypos = (*oldAxis2)(spectrum_index);
double diffy = ypos-centre_y;
double diffy_quad = pow(diffy, 2.0);
// the reference to X bins (the limits for each pixel in the horizontal direction)
auto xvec = ws->dataX(spectrum_index);
// for each pixel inside this row
for (size_t i = 0; i< xvec.size()-1; i++){
double xpos = (xvec[i] + xvec[i+1])/2.0; // the x position is the centre of the bins boundaries
double diffx = xpos - centre_x;
// calculate the distance => norm of pixel position - centre
double distance = sqrt(pow(diffx, 2.0) + diffy_quad);
// check if the distance is inside the ring
if (distance < min_radius || distance > max_radius || distance == 0){
bins_pos[i] = -1;
continue;
}
double angle = atan2(diffy, diffx);
// call fromAngleToBin (radians)
bins_pos[i] = fromAngleToBin(angle, false);
}
};
/*
* Get instrument property as double
* @s - input property name
*
*/
double
LoadHelper::getInstrumentProperty(const API::MatrixWorkspace_sptr &workspace,
std::string s) {
std::vector<std::string> prop =
workspace->getInstrument()->getStringParameter(s);
if (prop.empty()) {
g_log.debug("Property <" + s + "> doesn't exist!");
return EMPTY_DBL();
} else {
g_log.debug() << "Property <" + s + "> = " << prop[0] << '\n';
return boost::lexical_cast<double>(prop[0]);
}
}
V3D LoadHelper::getComponentPosition(API::MatrixWorkspace_sptr ws, const std::string &componentName)
{
try
{
Geometry::Instrument_const_sptr instrument = ws->getInstrument();
Geometry::IComponent_const_sptr component = instrument->getComponentByName(componentName);
V3D pos = component->getPos();
return pos;
} catch (Mantid::Kernel::Exception::NotFoundError&)
{
throw std::runtime_error("Error when trying to move the " + componentName + " : NotFoundError");
}
}
/** Convert the workspace units according to a simple output = a * (input^b) relationship
* @param outputWS :: the output workspace
* @param factor :: the conversion factor a to apply
* @param power :: the Power b to apply to the conversion
*/
void ConvertUnits::convertQuickly(API::MatrixWorkspace_sptr outputWS, const double& factor, const double& power)
{
Progress prog(this,0.2,1.0,m_numberOfSpectra);
int64_t numberOfSpectra_i = static_cast<int64_t>(m_numberOfSpectra); // cast to make openmp happy
// See if the workspace has common bins - if so the X vector can be common
// First a quick check using the validator
CommonBinsValidator sameBins;
bool commonBoundaries = false;
if ( sameBins.isValid(outputWS) == "" )
{
commonBoundaries = WorkspaceHelpers::commonBoundaries(outputWS);
// Only do the full check if the quick one passes
if (commonBoundaries)
{
// Calculate the new (common) X values
MantidVec::iterator iter;
for (iter = outputWS->dataX(0).begin(); iter != outputWS->dataX(0).end(); ++iter)
{
*iter = factor * std::pow(*iter,power);
}
MantidVecPtr xVals;
xVals.access() = outputWS->dataX(0);
PARALLEL_FOR1(outputWS)
for (int64_t j = 1; j < numberOfSpectra_i; ++j)
{
PARALLEL_START_INTERUPT_REGION
outputWS->setX(j,xVals);
prog.report("Convert to " + m_outputUnit->unitID());
PARALLEL_END_INTERUPT_REGION
}
PARALLEL_CHECK_INTERUPT_REGION
if (!m_inputEvents) // if in event mode the work is done
return;
}
}
/**
* The main method to calculate the ring profile for workspaces based on instruments.
*
* It will iterate over all the spectrum inside the workspace.
* For each spectrum, it will use the RingProfile::getBinForPixel method to identify
* where, in the output_bins, the sum of all the spectrum values should be placed in.
*
* @param inputWS: pointer to the input workspace
* @param output_bins: the reference to the vector to be filled with the integration values
*/
void RingProfile::processInstrumentRingProfile(const API::MatrixWorkspace_sptr inputWS,
std::vector<double> & output_bins){
for (int i= 0; i< (int) inputWS->getNumberHistograms(); i++){
m_progress->report("Computing ring bins positions for detectors");
// for the detector based, the positions will be taken from the detector itself.
try{
Mantid::Geometry::IDetector_const_sptr det = inputWS->getDetector(i);
// skip monitors
if (det->isMonitor()){
continue;
}
// this part will be executed if the instrument is attached to the workspace
// get the bin position
int bin_n = getBinForPixel(det);
if (bin_n < 0) // -1 is the agreement for an invalid bin, or outside the ring being integrated
continue;
g_log.debug() << "Bin for the index " << i << " = " << bin_n << " Pos = " << det->getPos() << std::endl;
// get the reference to the spectrum
auto spectrum_pt = inputWS->getSpectrum(i);
const MantidVec & refY = spectrum_pt->dataY();
// accumulate the values of this spectrum inside this bin
for (size_t sp_ind = 0; sp_ind < inputWS->blocksize(); sp_ind ++)
output_bins[bin_n] += refY[sp_ind];
}catch(Kernel::Exception::NotFoundError & ex){
g_log.information() << "It found that detector for " << i << " is not valid. " << ex.what() << std::endl;
continue;
}
}
}
/** Performs the Debye-Bueche transformation: 1/sqrt(I) v Q^2
* The output is set to zero for negative input Y values
* @param ws The workspace to be transformed
*/
void IQTransform::debyeBueche(API::MatrixWorkspace_sptr ws)
{
MantidVec& X = ws->dataX(0);
MantidVec& Y = ws->dataY(0);
MantidVec& E = ws->dataE(0);
std::transform(X.begin(),X.end(),X.begin(),VectorHelper::Squares<double>());
for(size_t i = 0; i < Y.size(); ++i)
{
if ( Y[i] > 0.0 )
{
Y[i] = 1.0 / std::sqrt(Y[i]);
E[i] *= std::pow(Y[i],3);
}
else
{
Y[i] = 0.0;
E[i] = 0.0;
}
}
ws->setYUnitLabel("1/sqrt(I)");
m_label->setLabel("Q^2");
}
/** Extracts a single spectrum from a Workspace2D into a new workspaces. Uses CropWorkspace to do this.
* @param WS :: The workspace containing the spectrum to extract
* @param index :: The workspace index of the spectrum to extract
* @return A Workspace2D containing the extracted spectrum
*/
API::MatrixWorkspace_sptr CalculateTransmissionBeamSpreader::extractSpectrum(API::MatrixWorkspace_sptr WS, const size_t index)
{
// Check that given spectra are monitors
if ( !WS->getDetector(index)->isMonitor() )
{
g_log.information("The Incident Beam Monitor UDET provided is not marked as a monitor");
}
Algorithm_sptr childAlg = createSubAlgorithm("ExtractSingleSpectrum",0.0,0.4);
childAlg->setProperty<MatrixWorkspace_sptr>("InputWorkspace", WS);
childAlg->setProperty<int>("WorkspaceIndex", static_cast<int>(index));
childAlg->executeAsSubAlg();
return childAlg->getProperty("OutputWorkspace");
}
/**
* Perform a call to nxgetslab, via the NexusClasses wrapped methods for a given blocksize. This assumes that the
* xbins have alread been cached
* @param data :: The NXDataSet object of y values
* @param errors :: The NXDataSet object of error values
* @param blocksize :: The blocksize to use
* @param nchannels :: The number of channels for the block
* @param hist :: The workspace index to start reading into
* @param local_workspace :: A pointer to the workspace
*/
void LoadNexusProcessed::loadBlock(NXDataSetTyped<double> & data, NXDataSetTyped<double> & errors,
int64_t blocksize, int64_t nchannels, int64_t &hist,
API::MatrixWorkspace_sptr local_workspace)
{
data.load(static_cast<int>(blocksize),static_cast<int>(hist));
errors.load(static_cast<int>(blocksize),static_cast<int>(hist));
double *data_start = data();
double *data_end = data_start + nchannels;
double *err_start = errors();
double *err_end = err_start + nchannels;
int64_t final(hist + blocksize);
while( hist < final )
{
MantidVec& Y = local_workspace->dataY(hist);
Y.assign(data_start, data_end);
data_start += nchannels; data_end += nchannels;
MantidVec& E = local_workspace->dataE(hist);
E.assign(err_start, err_end);
err_start += nchannels; err_end += nchannels;
local_workspace->setX(hist, m_xbins);
++hist;
}
}
/** Initialization method:
@param bkgWS -- shared pointer to the workspace which contains background
@param sourceWS -- shared pointer to the workspace to remove background from
@param emode -- energy conversion mode used during internal units conversion
(0 -- elastic, 1-direct, 2 indirect, as defined in Units conversion
@param pLog -- pointer to the logger class which would report errors
@param nThreads -- number of threads to be used for background removal
@param inPlace -- if the background removal occurs from the existing workspace
or target workspace has to be cloned.
*/
void BackgroundHelper::initialize(const API::MatrixWorkspace_const_sptr &bkgWS,
const API::MatrixWorkspace_sptr &sourceWS,
int emode, Kernel::Logger *pLog, int nThreads,
bool inPlace) {
m_bgWs = bkgWS;
m_wkWS = sourceWS;
m_Emode = emode;
m_pgLog = pLog;
m_inPlace = inPlace;
std::string bgUnits = bkgWS->getAxis(0)->unit()->unitID();
if (bgUnits != "TOF")
throw std::invalid_argument(" Background Workspace: " + bkgWS->getName() +
" should be in the units of TOF");
if (!(bkgWS->getNumberHistograms() == 1 ||
sourceWS->getNumberHistograms() == bkgWS->getNumberHistograms()))
throw std::invalid_argument(" Background Workspace: " + bkgWS->getName() +
" should have the same number of spectra as "
"source workspace or be a single histogram "
"workspace");
auto WSUnit = sourceWS->getAxis(0)->unit();
if (!WSUnit)
throw std::invalid_argument(" Source Workspace: " + sourceWS->getName() +
" should have units");
Geometry::IComponent_const_sptr source =
sourceWS->getInstrument()->getSource();
m_Sample = sourceWS->getInstrument()->getSample();
if ((!source) || (!m_Sample))
throw std::invalid_argument(
"Instrument on Source workspace:" + sourceWS->getName() +
"is not sufficiently defined: failed to get source and/or sample");
m_L1 = source->getDistance(*m_Sample);
// just in case.
this->deleteUnitsConverters();
// allocate the array of units converters to avoid units reallocation within a
// loop
m_WSUnit.assign(nThreads, NULL);
for (int i = 0; i < nThreads; i++) {
m_WSUnit[i] = WSUnit->clone();
}
m_singleValueBackground = false;
if (bkgWS->getNumberHistograms() == 0)
m_singleValueBackground = true;
const MantidVec &dataX = bkgWS->dataX(0);
const MantidVec &dataY = bkgWS->dataY(0);
// const MantidVec& dataE = bkgWS->dataE(0);
m_NBg = dataY[0];
m_dtBg = dataX[1] - dataX[0];
// m_ErrSq = dataE[0]*dataE[0]; // needs further clarification
m_Efix = this->getEi(sourceWS);
}
/** Execute the algorithm.
*/
void CreateEPP::exec() {
API::MatrixWorkspace_sptr inputWS =
getProperty(PropertyNames::INPUT_WORKSPACE);
const auto &spectrumInfo = inputWS->spectrumInfo();
API::ITableWorkspace_sptr outputWS =
API::WorkspaceFactory::Instance().createTable("TableWorkspace");
addEPPColumns(outputWS);
const double sigma = getProperty(PropertyNames::SIGMA);
const size_t spectraCount = spectrumInfo.size();
outputWS->setRowCount(spectraCount);
const auto l1 = spectrumInfo.l1();
const double EFixed = inputWS->run().getPropertyAsSingleValue("Ei");
for (size_t i = 0; i < spectraCount; ++i) {
const auto l2 = spectrumInfo.l2(i);
const auto elasticTOF = Kernel::UnitConversion::run(
"Energy", "TOF", EFixed, l1, l2, 0, Kernel::DeltaEMode::Direct, EFixed);
outputWS->getRef<int>(ColumnNames::WS_INDEX, i) = static_cast<int>(i);
outputWS->getRef<double>(ColumnNames::PEAK_CENTRE, i) = elasticTOF;
outputWS->getRef<double>(ColumnNames::PEAK_CENTRE_ERR, i) = 0;
outputWS->getRef<double>(ColumnNames::SIGMA, i) = sigma;
outputWS->getRef<double>(ColumnNames::SIGMA_ERR, i) = 0;
double height = 0;
try {
const auto elasticIndex = inputWS->binIndexOf(elasticTOF, i);
height = inputWS->y(i)[elasticIndex];
} catch (std::out_of_range &) {
std::ostringstream sout;
sout << "EPP out of TOF range for workspace index " << i
<< ". Peak height set to zero.";
g_log.warning() << sout.str();
}
outputWS->getRef<double>(ColumnNames::HEIGHT, i) = height;
outputWS->getRef<double>(ColumnNames::CHI_SQUARED, i) = 1;
outputWS->getRef<std::string>(ColumnNames::STATUS, i) = "success";
}
setProperty(PropertyNames::OUTPUT_WORKSPACE, outputWS);
}
/** Performs a transformation of the form: Q^A x I^B x Ln(Q^C x I^D x E) v Q^F x I^G x Ln(Q^H x I^I x J).
* Uses the 'GeneralFunctionConstants' property where A-J are the 10 (ordered) input constants.
* @param ws The workspace to be transformed
* @throw std::range_error if an attempt is made to take log of a negative number
*/
void IQTransform::general(API::MatrixWorkspace_sptr ws)
{
MantidVec& X = ws->dataX(0);
MantidVec& Y = ws->dataY(0);
MantidVec& E = ws->dataE(0);
const std::vector<double> C = getProperty("GeneralFunctionConstants");
// Check for the correct number of elements
if ( C.size() != 10 )
{
std::string mess("The General transformation requires 10 values to be provided.");
g_log.error(mess);
throw std::invalid_argument(mess);
}
for(size_t i = 0; i < Y.size(); ++i)
{
double tmpX = std::pow(X[i],C[7]) * std::pow(Y[i],C[8]) * C[9];
if ( tmpX <= 0.0 ) throw std::range_error("Attempt to take log of a zero or negative number.");
tmpX = std::pow(X[i],C[5]) * std::pow(Y[i],C[6]) * std::log(tmpX);
const double tmpY = std::pow(X[i],C[2]) * std::pow(Y[i],C[3]) * C[4];
if ( tmpY <= 0.0 ) throw std::range_error("Attempt to take log of a zero or negative number.");
const double newY = std::pow(X[i],C[0]) * std::pow(Y[i],C[1]) * std::log(tmpY);
E[i] *= std::pow(X[i],C[0]) * ( C[1]*std::pow(Y[i],C[1]-1) * std::log(tmpY)
+ (( std::pow(Y[i],C[1]) * std::pow(X[i],C[2]) * C[4] * C[3]*std::pow(Y[i],C[3]-1) )
/ tmpY ) );
X[i] = tmpX;
Y[i] = newY;
}
std::stringstream ylabel;
ylabel << "Q^" << C[0] << " x I^" << C[1] << " x Ln( Q^" << C[2] << " x I^" << C[3] << " x " << C[4] << ")";
ws->setYUnitLabel(ylabel.str());
std::stringstream xlabel;
xlabel << "Q^" << C[5] << " x I^" << C[6] << " x Ln( Q^" << C[7] << " x I^" << C[8] << " x " << C[9] << ")";
m_label->setLabel(xlabel.str());
}
/** Create output workspace
*/
API::MatrixWorkspace_sptr GeneratePeaks::createOutputWorkspace() {
// Reference workspace and output workspace
API::MatrixWorkspace_sptr outputWS;
m_newWSFromParent = true;
if (!inputWS && binParameters.empty()) {
// Error! Neither bin parameters or reference workspace is given.
std::string errmsg(
"Must define either InputWorkspace or BinningParameters.");
g_log.error(errmsg);
throw std::invalid_argument(errmsg);
} else if (inputWS) {
// Generate Workspace2D from input workspace
if (!binParameters.empty())
g_log.notice()
<< "Both binning parameters and input workspace are given. "
<< "Using input worksapce to generate output workspace!\n";
outputWS = API::WorkspaceFactory::Instance().create(
inputWS, inputWS->getNumberHistograms(), inputWS->x(0).size(),
inputWS->y(0).size());
// Only copy the X-values from spectra with peaks specified in the table
// workspace.
for (const auto &iws : m_spectraSet) {
outputWS->setSharedX(iws, inputWS->sharedX(iws));
}
m_newWSFromParent = true;
} else {
// Generate a one-spectrum Workspace2D from binning
outputWS = createDataWorkspace(binParameters);
m_newWSFromParent = false;
}
return outputWS;
}
/**
* Construct an "empty" output workspace in virtual-lambda for summation in Q.
*
* @param detectorWS [in] :: the input workspace
* @param indices [in] :: the workspace indices of the foreground histograms
* @param refAngles [in] :: the reference angles
* @return :: a 1D workspace where y values are all zero
*/
API::MatrixWorkspace_sptr ReflectometrySumInQ::constructIvsLamWS(
const API::MatrixWorkspace &detectorWS,
const Indexing::SpectrumIndexSet &indices, const Angles &refAngles) {
// Calculate the number of bins based on the min/max wavelength, using
// the same bin width as the input workspace
const auto &edges = detectorWS.binEdges(refAngles.referenceWSIndex);
const double binWidth =
(edges.back() - edges.front()) / static_cast<double>(edges.size());
const auto wavelengthRange =
findWavelengthMinMax(detectorWS, indices, refAngles);
if (std::abs(wavelengthRange.max - wavelengthRange.min) < binWidth) {
throw std::runtime_error("Given wavelength range too small.");
}
const int numBins = static_cast<int>(
std::ceil((wavelengthRange.max - wavelengthRange.min) / binWidth));
// Construct the histogram with these X values. Y and E values are zero.
const HistogramData::BinEdges bins(
numBins + 1,
HistogramData::LinearGenerator(wavelengthRange.min, binWidth));
const HistogramData::Counts counts(numBins, 0.);
const HistogramData::Histogram modelHistogram(std::move(bins),
std::move(counts));
// Create the output workspace
API::MatrixWorkspace_sptr outputWS =
DataObjects::create<DataObjects::Workspace2D>(detectorWS, 1,
std::move(modelHistogram));
// Set the detector IDs and specturm number from the twoThetaR detector.
const auto &thetaSpec = detectorWS.getSpectrum(refAngles.referenceWSIndex);
auto &outSpec = outputWS->getSpectrum(0);
outSpec.clearDetectorIDs();
outSpec.addDetectorIDs(thetaSpec.getDetectorIDs());
outSpec.setSpectrumNo(thetaSpec.getSpectrumNo());
return outputWS;
}
/*
* Export time stamps looking erroreous
*/
void ProcessDasNexusLog::exportErrorLog(
API::MatrixWorkspace_sptr ws, std::vector<Kernel::DateAndTime> abstimevec,
std::vector<Kernel::DateAndTime> pulsetimes,
std::vector<double> orderedtofs, double dts) {
std::string outputdir = getProperty("OutputDirectory");
if (outputdir[outputdir.size() - 1] != '/')
outputdir += "/";
std::string ofilename = outputdir + "errordeltatime.txt";
g_log.notice() << ofilename << std::endl;
std::ofstream ofs;
ofs.open(ofilename.c_str(), std::ios::out);
size_t numbaddt = 0;
Kernel::DateAndTime t0(ws->run().getProperty("run_start")->value());
for (size_t i = 1; i < abstimevec.size(); i++) {
double tempdts = static_cast<double>(abstimevec[i].totalNanoseconds() -
abstimevec[i - 1].totalNanoseconds()) *
1.0E-9;
double dev = (tempdts - dts) / dts;
bool baddt = false;
if (fabs(dev) > 0.5)
baddt = true;
if (baddt) {
numbaddt++;
double deltapulsetimeSec1 =
static_cast<double>(pulsetimes[i - 1].totalNanoseconds() -
t0.totalNanoseconds()) *
1.0E-9;
double deltapulsetimeSec2 =
static_cast<double>(pulsetimes[i].totalNanoseconds() -
t0.totalNanoseconds()) *
1.0E-9;
int index1 = static_cast<int>(deltapulsetimeSec1 * 60);
int index2 = static_cast<int>(deltapulsetimeSec2 * 60);
ofs << "Error d(T) = " << tempdts << " vs Correct d(T) = " << dts
<< std::endl;
ofs << index1 << "\t\t" << pulsetimes[i - 1].totalNanoseconds() << "\t\t"
<< orderedtofs[i - 1] << std::endl;
ofs << index2 << "\t\t" << pulsetimes[i].totalNanoseconds() << "\t\t"
<< orderedtofs[i] << std::endl;
}
}
ofs.close();
}
/// Run ConvertUnits as a sub-algorithm to convert to dSpacing
MatrixWorkspace_sptr DiffractionFocussing::convertUnitsToDSpacing(const API::MatrixWorkspace_sptr& workspace)
{
const std::string CONVERSION_UNIT = "dSpacing";
Unit_const_sptr xUnit = workspace->getAxis(0)->unit();
g_log.information() << "Converting units from "<< xUnit->label() << " to " << CONVERSION_UNIT<<".\n";
API::IAlgorithm_sptr childAlg = createSubAlgorithm("ConvertUnits", 0.34, 0.66);
childAlg->setProperty("InputWorkspace", workspace);
childAlg->setPropertyValue("Target",CONVERSION_UNIT);
childAlg->executeAsSubAlg();
return childAlg->getProperty("OutputWorkspace");
}
void LoadHelper::rotateComponent(API::MatrixWorkspace_sptr ws, const std::string &componentName,
const Kernel::Quat & rot)
{
try
{
Geometry::Instrument_const_sptr instrument = ws->getInstrument();
Geometry::IComponent_const_sptr component = instrument->getComponentByName(componentName);
//g_log.debug() << tube->getName() << " : t = " << theta << " ==> t = " << newTheta << "\n";
Geometry::ParameterMap& pmap = ws->instrumentParameters();
Geometry::ComponentHelper::rotateComponent(*component, pmap, rot,
Geometry::ComponentHelper::Absolute);
} catch (Mantid::Kernel::Exception::NotFoundError&)
{
throw std::runtime_error("Error when trying to move the " + componentName + " : NotFoundError");
} catch (std::runtime_error &)
{
throw std::runtime_error("Error when trying to move the " + componentName + " : runtime_error");
}
}
/** Apply dead time correction to spectra in inputWs and create temporary workspace with corrected spectra
* @param inputWs :: [input] input workspace containing spectra to correct
* @param deadTimeTable :: [input] table containing dead times
* @param tempWs :: [output] workspace containing corrected spectra
*/
void PhaseQuadMuon::deadTimeCorrection(API::MatrixWorkspace_sptr inputWs, API::ITableWorkspace_sptr deadTimeTable, API::MatrixWorkspace_sptr& tempWs)
{
// Apply correction only from t = m_tPulseOver
// To do so, we first apply corrections to the whole spectrum (ApplyDeadTimeCorr
// does not allow to select a range in the spectrum)
// Then we recover counts from 0 to m_tPulseOver
auto alg = this->createChildAlgorithm("ApplyDeadTimeCorr",-1,-1);
alg->initialize();
alg->setProperty("DeadTimeTable", deadTimeTable);
alg->setPropertyValue("InputWorkspace", inputWs->getName());
alg->setPropertyValue("OutputWorkspace", inputWs->getName()+"_deadtime");
bool sucDeadTime = alg->execute();
if (!sucDeadTime)
{
g_log.error() << "PhaseQuad: Unable to apply dead time corrections" << std::endl;
throw std::runtime_error("PhaseQuad: Unable to apply dead time corrections");
}
tempWs = alg->getProperty("OutputWorkspace");
// Now recover counts from t=0 to m_tPulseOver
// Errors are set to m_bigNumber
for (int h=0; h<m_nHist; h++)
{
auto specOld = inputWs->getSpectrum(h);
auto specNew = tempWs->getSpectrum(h);
for (int t=0; t<m_tPulseOver; t++)
{
specNew->dataY()[t] = specOld->dataY()[t];
specNew->dataE()[t] = m_bigNumber;
}
}
}
void RadiusSum::setUpOutputWorkspace(std::vector<double> &values) {
g_log.debug() << "Output calculated, setting up the output workspace"
<< std::endl;
API::MatrixWorkspace_sptr outputWS = API::WorkspaceFactory::Instance().create(
inputWS, 1, values.size() + 1, values.size());
g_log.debug() << "Set the data" << std::endl;
MantidVec &refY = outputWS->dataY(0);
std::copy(values.begin(), values.end(), refY.begin());
g_log.debug() << "Set the bins limits" << std::endl;
MantidVec &refX = outputWS->dataX(0);
double bin_size = (max_radius - min_radius) / num_bins;
for (int i = 0; i < (static_cast<int>(refX.size())) - 1; i++)
refX[i] = min_radius + i * bin_size;
refX[refX.size() - 1] = max_radius;
// configure the axis:
// for numeric images, the axis are the same as the input workspace, and are
// copied in the creation.
// for instrument related, the axis Y (1) continues to be the same.
// it is necessary to change only the axis X. We have to change it to radius.
if (inputWorkspaceHasInstrumentAssociated(inputWS)) {
API::Axis *const horizontal = new API::NumericAxis(refX.size());
auto labelX = UnitFactory::Instance().create("Label");
boost::dynamic_pointer_cast<Units::Label>(labelX)->setLabel("Radius");
horizontal->unit() = labelX;
outputWS->replaceAxis(0, horizontal);
}
setProperty("OutputWorkspace", outputWS);
}
/** Executes the algorithm. Moving detectors of input workspace to positions indicated in table workspace
*
* @throw FileError Thrown if unable to get instrument from workspace,
* table workspace is incompatible with instrument
*/
void ApplyCalibration::exec()
{
// Get pointers to the workspace, parameter map and table
API::MatrixWorkspace_sptr inputWS = getProperty("Workspace");
m_pmap = &(inputWS->instrumentParameters()); // Avoids a copy if you get the reference before the instrument
API::ITableWorkspace_sptr PosTable = getProperty("PositionTable");
Geometry::Instrument_const_sptr instrument = inputWS->getInstrument();
if(!instrument)
{
throw std::runtime_error("Workspace to apply calibration to has no defined instrument");
}
size_t numDetector = PosTable->rowCount();
ColumnVector<int> detID = PosTable->getVector("Detector ID");
ColumnVector<V3D> detPos = PosTable->getVector("Detector Position");
// numDetector needs to be got as the number of rows in the table and the detID got from the (i)th row of table.
for (size_t i = 0; i < numDetector; ++i)
{
setDetectorPosition(instrument, detID[i], detPos[i], false );
}
// Ensure pointer is only valid for execution
m_pmap = NULL;
}
