Esempio n. 1
0
/** Unwraps the Y & E vectors of a spectrum according to the ranges found in
 * unwrapX.
 *  @param tempWS ::      A pointer to the temporary workspace in which the
 * results are being stored
 *  @param spectrum ::    The workspace index
 *  @param rangeBounds :: The upper and lower ranges for the unwrapping
 */
void UnwrapMonitor::unwrapYandE(const API::MatrixWorkspace_sptr &tempWS,
                                const int &spectrum,
                                const std::vector<int> &rangeBounds) {
  // Copy over the relevant ranges of Y & E data
  MantidVec &Y = tempWS->dataY(spectrum);
  MantidVec &E = tempWS->dataE(spectrum);
  // Get references to the input data
  const MantidVec &YIn = m_inputWS->dataY(spectrum);
  const MantidVec &EIn = m_inputWS->dataE(spectrum);
  if (rangeBounds[2] != -1) {
    // Copy in the upper range
    Y.assign(YIn.begin() + rangeBounds[2], YIn.end());
    E.assign(EIn.begin() + rangeBounds[2], EIn.end());
    // Propagate masking, if necessary
    if (m_inputWS->hasMaskedBins(spectrum)) {
      const MatrixWorkspace::MaskList &inputMasks =
          m_inputWS->maskedBins(spectrum);
      MatrixWorkspace::MaskList::const_iterator it;
      for (it = inputMasks.begin(); it != inputMasks.end(); ++it) {
        if (static_cast<int>((*it).first) >= rangeBounds[2])
          tempWS->flagMasked(spectrum, (*it).first - rangeBounds[2],
                             (*it).second);
      }
    }
  } else {
    // Y & E are references to existing vector. Assign above clears them, so
    // need to explicitly here
    Y.clear();
    E.clear();
  }
  if (rangeBounds[0] != -1 && rangeBounds[1] > 0) {
    // Now append the lower range
    MantidVec::const_iterator YStart = YIn.begin();
    MantidVec::const_iterator EStart = EIn.begin();
    Y.insert(Y.end(), YStart + rangeBounds[0], YStart + rangeBounds[1]);
    E.insert(E.end(), EStart + rangeBounds[0], EStart + rangeBounds[1]);
    // Propagate masking, if necessary
    if (m_inputWS->hasMaskedBins(spectrum)) {
      const MatrixWorkspace::MaskList &inputMasks =
          m_inputWS->maskedBins(spectrum);
      MatrixWorkspace::MaskList::const_iterator it;
      for (it = inputMasks.begin(); it != inputMasks.end(); ++it) {
        const int maskIndex = static_cast<int>((*it).first);
        if (maskIndex >= rangeBounds[0] && maskIndex < rangeBounds[1])
          tempWS->flagMasked(spectrum, maskIndex - rangeBounds[0],
                             (*it).second);
      }
    }
  }
}
Esempio n. 2
0
/**
 * Read the bin masking information from the mantid_workspace_i/workspace group.
 * @param wksp_cls :: The data group
 * @param local_workspace :: The workspace to read into
 */
void LoadNexusProcessed::readBinMasking(NXData & wksp_cls, API::MatrixWorkspace_sptr local_workspace)
{
  if (wksp_cls.getDataSetInfo("masked_spectra").stat == NX_ERROR)
  {
    return;
  }
  NXInt spec = wksp_cls.openNXInt("masked_spectra");
  spec.load();
  NXInt bins = wksp_cls.openNXInt("masked_bins");
  bins.load();
  NXDouble weights = wksp_cls.openNXDouble("mask_weights");
  weights.load();
  const int n = spec.dim0();
  const int n1 = n - 1;
  for(int i = 0; i < n; ++i)
  {
    int si = spec(i,0);
    int j0 = spec(i,1);
    int j1 = i < n1 ? spec(i+1,1) : bins.dim0();
    for(int j = j0; j < j1; ++j)
    {
      local_workspace->flagMasked(si,bins[j],weights[j]);
    }
  }
}