/
RebinByTimeAtSample.cpp
113 lines (90 loc) · 3.56 KB
/
RebinByTimeAtSample.cpp
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#include "MantidAlgorithms/RebinByTimeAtSample.h"
#include "MantidAlgorithms/TimeAtSampleStrategyElastic.h"
#include "MantidDataObjects/EventWorkspace.h"
#include "MantidKernel/VectorHelper.h"
#include "MantidKernel/Unit.h"
#include "MantidKernel/V3D.h"
#include <boost/make_shared.hpp>
#include <algorithm>
#include <cmath>
namespace Mantid {
namespace Algorithms {
using namespace Mantid::Kernel;
using namespace Mantid::API;
using namespace Mantid::DataObjects;
// Register the algorithm into the AlgorithmFactory
DECLARE_ALGORITHM(RebinByTimeAtSample)
//----------------------------------------------------------------------------------------------
/// Algorithm's version for identification. @see Algorithm::version
int RebinByTimeAtSample::version() const { return 1; }
/// Algorithm's category for identification. @see Algorithm::category
const std::string RebinByTimeAtSample::category() const {
return "Transforms\\Rebin;Events\\EventFiltering";
}
/// Algorithm's summary for use in the GUI and help. @see Algorithm::summary
const std::string RebinByTimeAtSample::summary() const {
return "Rebins with an x-axis of relative time at sample for comparing event "
"arrival time at the sample environment.";
}
const std::string RebinByTimeAtSample::name() const {
return "RebinByTimeAtSample";
}
/**
* Do histogramming of the data to create the output workspace.
* @param inWS : input workspace
* @param outputWS : output workspace
* @param XValues_new : Pointer to new x values vector (cowp)
* @param OutXValues_scaled : Vector of new x values
* @param prog : Progress object
*/
void RebinByTimeAtSample::doHistogramming(IEventWorkspace_sptr inWS,
MatrixWorkspace_sptr outputWS,
MantidVecPtr &XValues_new,
MantidVec &OutXValues_scaled,
Progress &prog) {
const int histnumber = static_cast<int>(inWS->getNumberHistograms());
const double tofOffset = 0;
TimeAtSampleStrategyElastic strategy(inWS);
auto x = Kernel::make_cow<HistogramData::HistogramX>(OutXValues_scaled);
// Go through all the histograms and set the data
PARALLEL_FOR2(inWS, outputWS)
for (int i = 0; i < histnumber; ++i) {
PARALLEL_START_INTERUPT_REGION
Correction correction = strategy.calculate(i);
const double tofFactor = correction.factor;
const auto &el = inWS->getSpectrum(i);
MantidVec y_data, e_data;
// The EventList takes care of histogramming.
el.generateHistogramTimeAtSample(*XValues_new, y_data, e_data, tofFactor,
tofOffset);
// Set the X axis for each output histogram
outputWS->setX(i, x);
// Copy the data over.
outputWS->dataY(i).assign(y_data.begin(), y_data.end());
outputWS->dataE(i).assign(e_data.begin(), e_data.end());
// Report progress
prog.report(name());
PARALLEL_END_INTERUPT_REGION
}
PARALLEL_CHECK_INTERUPT_REGION
}
/**
* get Maximum x value across all spectrum
* @param ws : workspace to inspect
* @return max time since epoch in nanoseconds.
*/
uint64_t
RebinByTimeAtSample::getMaxX(Mantid::API::IEventWorkspace_sptr ws) const {
return ws->getTimeAtSampleMax().totalNanoseconds();
}
/**
* get Minimum x value across all spectrum
* @param ws : workspace to inspect
* @return min time since epoch in nanoseconds.
*/
uint64_t
RebinByTimeAtSample::getMinX(Mantid::API::IEventWorkspace_sptr ws) const {
return ws->getTimeAtSampleMin().totalNanoseconds();
}
} // namespace Algorithms
} // namespace Mantid