예제 #1
0
IEventWorkspace_sptr RefReduction::loadData(const std::string dataRun,
    const std::string polarization)
{
  const std::string instrument = getProperty("Instrument");

  // Check whether dataRun refers to an existing workspace
  // Create a good name for the raw workspace
  std::string ws_name = "__ref_"+dataRun+"-"+polarization+"_raw";
  IEventWorkspace_sptr rawWS;
  if (AnalysisDataService::Instance().doesExist(dataRun))
  {
    rawWS = AnalysisDataService::Instance().retrieveWS<EventWorkspace>(dataRun);
    g_log.notice() << "Found workspace: " << dataRun << std::endl;
    m_output_message += "    |Input data run is a workspace: " + dataRun + "\n";
  }
  else if (AnalysisDataService::Instance().doesExist(ws_name))
  {
    rawWS = AnalysisDataService::Instance().retrieveWS<EventWorkspace>(ws_name);
    g_log.notice() << "Using existing workspace: " << ws_name << std::endl;
    m_output_message += "    |Found workspace from previous reduction: " + ws_name + "\n";
  }
  else
  {
    // If we can't find a workspace, find a file to load
    std::string path = FileFinder::Instance().getFullPath(dataRun);

    if (path.size()==0 || !Poco::File(path).exists())
    {
      try
      {
        std::vector<std::string> paths = FileFinder::Instance().findRuns(instrument+dataRun);
        path = paths[0];
      }
      catch(Exception::NotFoundError&) { /* Pass. We report the missing file later. */ }
    }

    if (path.size()==0 || !Poco::File(path).exists())
    {
      try
      {
        std::vector<std::string> paths = FileFinder::Instance().findRuns(dataRun);
        path = paths[0];
      }
      catch(Exception::NotFoundError&) { /* Pass. We report the missing file later. */ }
    }

    if (Poco::File(path).exists()) {
      g_log.notice() << "Found: " << path << std::endl;
      m_output_message += "    |Loading from " + path + "\n";
      IAlgorithm_sptr loadAlg = createChildAlgorithm("LoadEventNexus", 0, 0.2);
      loadAlg->setProperty("Filename", path);
      if (polarization.compare(PolStateNone)!=0)
        loadAlg->setProperty("NXentryName", polarization);
      loadAlg->executeAsChildAlg();
      rawWS = loadAlg->getProperty("OutputWorkspace");
      if (rawWS->getNumberEvents()==0)
      {
        g_log.notice() << "No data in " << polarization << std::endl;
        m_output_message += "    |No data for " + polarization + "\n";
        return rawWS;
      }

      // Move the detector to the right position
      if (instrument.compare("REF_M")==0)
      {
          double det_distance = rawWS->getInstrument()->getDetector(0)->getPos().Z();
          Mantid::Kernel::Property* prop = rawWS->run().getProperty("SampleDetDis");
          Mantid::Kernel::TimeSeriesProperty<double>* dp = dynamic_cast<Mantid::Kernel::TimeSeriesProperty<double>* >(prop);
          double sdd = dp->getStatistics().mean/1000.0;
          IAlgorithm_sptr mvAlg = createChildAlgorithm("MoveInstrumentComponent", 0.2, 0.25);
          mvAlg->setProperty<MatrixWorkspace_sptr>("Workspace", rawWS);
          mvAlg->setProperty("ComponentName", "detector1");
          mvAlg->setProperty("Z", sdd-det_distance);
          mvAlg->setProperty("RelativePosition", true);
          mvAlg->executeAsChildAlg();
          g_log.notice() << "Ensuring correct Z position: Correction = "
              << Poco::NumberFormatter::format(sdd-det_distance)
              << " m" << std::endl;
      }
      AnalysisDataService::Instance().addOrReplace(ws_name, rawWS);
    } else {
        g_log.error() << "Could not find a data file for " << dataRun << std::endl;
        throw std::invalid_argument("Could not find a data file for the given input");
    }
  }

  // Crop TOF as needed and set binning
  double tofMin = getProperty("TOFMin");
  double tofMax = getProperty("TOFMax");
  if (isEmpty(tofMin) || isEmpty(tofMax))
  {
    const MantidVec& x = rawWS->readX(0);
    if (isEmpty(tofMin)) tofMin = *std::min_element(x.begin(), x.end());
    if (isEmpty(tofMax)) tofMax = *std::max_element(x.begin(), x.end());
  }

  int nBins = getProperty("NBins");
  double tofStep = getProperty("TOFStep");
  if (!isEmpty(nBins))
    tofStep = (tofMax-tofMin)/nBins;
  else
    nBins = (int)floor( (tofMax-tofMin)/tofStep );

  std::vector<double> params;
  params.push_back(tofMin);
  params.push_back(tofStep);
  params.push_back(tofMax);

  IAlgorithm_sptr rebinAlg = createChildAlgorithm("Rebin", 0.25, 0.3);
  rebinAlg->setProperty<MatrixWorkspace_sptr>("InputWorkspace", rawWS);
  rebinAlg->setProperty("Params", params);
  rebinAlg->setProperty("PreserveEvents", true);
  rebinAlg->executeAsChildAlg();
  MatrixWorkspace_sptr outputWS = rebinAlg->getProperty("OutputWorkspace");
  m_output_message += "    |TOF binning: "
      +  Poco::NumberFormatter::format(tofMin) + " to "
      +  Poco::NumberFormatter::format(tofMax) + " in steps of "
      +  Poco::NumberFormatter::format(tofStep) + " microsecs\n";

  // Normalise by current
  IAlgorithm_sptr normAlg = createChildAlgorithm("NormaliseByCurrent", 0.3, 0.35);
  normAlg->setProperty<MatrixWorkspace_sptr>("InputWorkspace", outputWS);
  //normAlg->setProperty<MatrixWorkspace_sptr>("OutputWorkspace", outputWS);
  normAlg->executeAsChildAlg();
  outputWS = normAlg->getProperty("OutputWorkspace");

  // Convert to wavelength
  IAlgorithm_sptr convAlg = createChildAlgorithm("ConvertUnits", 0.35, 0.4);
  convAlg->setProperty<MatrixWorkspace_sptr>("InputWorkspace", outputWS);
  convAlg->setProperty<MatrixWorkspace_sptr>("OutputWorkspace", outputWS);
  convAlg->setProperty("Target", "Wavelength");
  convAlg->executeAsChildAlg();

  // Rebin in wavelength
  const MantidVec& x = outputWS->readX(0);
  double wlMin = *std::min_element(x.begin(), x.end());
  double wlMax = *std::max_element(x.begin(), x.end());

  std::vector<double> wl_params;
  wl_params.push_back(wlMin);
  wl_params.push_back((wlMax-wlMin)/nBins);
  wl_params.push_back(wlMax);

  IAlgorithm_sptr rebinAlg2 = createChildAlgorithm("Rebin", 0.25, 0.3);
  rebinAlg2->setProperty<MatrixWorkspace_sptr>("InputWorkspace", outputWS);
  rebinAlg2->setProperty<MatrixWorkspace_sptr>("OutputWorkspace", outputWS);
  rebinAlg2->setProperty("Params", wl_params);
  rebinAlg2->setProperty("PreserveEvents", true);
  rebinAlg2->executeAsChildAlg();

  IEventWorkspace_sptr outputEvtWS = boost::dynamic_pointer_cast<IEventWorkspace>(outputWS);
  return outputEvtWS;
}
예제 #2
0
/**
 * Execute the algorithm.
 */
void RebinByTimeBase::exec() {
  using Mantid::DataObjects::EventWorkspace;
  IEventWorkspace_sptr inWS = getProperty("InputWorkspace");

  if (!boost::dynamic_pointer_cast<EventWorkspace>(inWS)) {
    const std::string algName = this->name();
    throw std::invalid_argument(
        algName + " Algorithm requires an EventWorkspace as an input.");
  }

  MatrixWorkspace_sptr outputWS = getProperty("OutputWorkspace");

  // retrieve the properties
  const std::vector<double> inParams = getProperty("Params");
  std::vector<double> rebinningParams;

  // workspace independent determination of length
  const int histnumber = static_cast<int>(inWS->getNumberHistograms());

  const uint64_t nanoSecondsInASecond = static_cast<uint64_t>(1e9);
  const DateAndTime runStartTime = inWS->run().startTime();
  // The validator only passes parameters with size 1, or 3xn.

  double tStep = 0;
  if (inParams.size() >= 3) {
    // Use the start of the run to offset the times provided by the user. pulse
    // time of the events are absolute.
    const DateAndTime startTime = runStartTime + inParams[0];
    const DateAndTime endTime = runStartTime + inParams[2];
    // Rebinning params in nanoseconds.
    rebinningParams.push_back(
        static_cast<double>(startTime.totalNanoseconds()));
    tStep = inParams[1] * nanoSecondsInASecond;
    rebinningParams.push_back(tStep);
    rebinningParams.push_back(static_cast<double>(endTime.totalNanoseconds()));
  } else if (inParams.size() == 1) {
    const uint64_t xmin = getMinX(inWS);
    const uint64_t xmax = getMaxX(inWS);

    rebinningParams.push_back(static_cast<double>(xmin));
    tStep = inParams[0] * nanoSecondsInASecond;
    rebinningParams.push_back(tStep);
    rebinningParams.push_back(static_cast<double>(xmax));
  }

  // Validate the timestep.
  if (tStep <= 0) {
    throw std::invalid_argument(
        "Cannot have a timestep less than or equal to zero.");
  }

  // Initialize progress reporting.
  Progress prog(this, 0.0, 1.0, histnumber);

  MantidVecPtr XValues_new;
  // create new X axis, with absolute times in seconds.
  const int ntcnew = VectorHelper::createAxisFromRebinParams(
      rebinningParams, XValues_new.access());

  ConvertToRelativeTime transformToRelativeT(runStartTime);

  // Transform the output into relative times in seconds.
  MantidVec OutXValues_scaled(XValues_new->size());
  std::transform(XValues_new->begin(), XValues_new->end(),
                 OutXValues_scaled.begin(), transformToRelativeT);

  outputWS = WorkspaceFactory::Instance().create("Workspace2D", histnumber,
                                                 ntcnew, ntcnew - 1);
  WorkspaceFactory::Instance().initializeFromParent(inWS, outputWS, true);

  // Copy all the axes
  for (int i = 1; i < inWS->axes(); i++) {
    outputWS->replaceAxis(i, inWS->getAxis(i)->clone(outputWS.get()));
    outputWS->getAxis(i)->unit() = inWS->getAxis(i)->unit();
  }

  // X-unit is relative time since the start of the run.
  outputWS->getAxis(0)->unit() = boost::make_shared<Units::Time>();

  // Copy the units over too.
  for (int i = 1; i < outputWS->axes(); ++i) {
    outputWS->getAxis(i)->unit() = inWS->getAxis(i)->unit();
  }
  outputWS->setYUnit(inWS->YUnit());
  outputWS->setYUnitLabel(inWS->YUnitLabel());

  // Assign it to the output workspace property
  setProperty("OutputWorkspace", outputWS);

  // Go through all the histograms and set the data
  doHistogramming(inWS, outputWS, XValues_new, OutXValues_scaled, prog);
}