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VesuvioL1ThetaResolution.cpp
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VesuvioL1ThetaResolution.cpp
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#include "MantidAlgorithms/VesuvioL1ThetaResolution.h"
#include "MantidAPI/AlgorithmManager.h"
#include "MantidAPI/FileProperty.h"
#include "MantidAPI/TextAxis.h"
#include "MantidKernel/BoundedValidator.h"
#include "MantidKernel/Statistics.h"
#include "MantidKernel/Unit.h"
#include <boost/make_shared.hpp>
#include <boost/random/variate_generator.hpp>
#include <boost/random/uniform_real.hpp>
namespace Mantid {
namespace Algorithms {
using namespace Mantid::Kernel;
using namespace Mantid::API;
using namespace Mantid::Geometry;
namespace {
Mantid::Kernel::Logger g_log("VesuvioL1ThetaResolution");
}
// Register the algorithm into the AlgorithmFactory
DECLARE_ALGORITHM(VesuvioL1ThetaResolution)
//----------------------------------------------------------------------------------------------
/** Constructor
*/
VesuvioL1ThetaResolution::VesuvioL1ThetaResolution() {}
//----------------------------------------------------------------------------------------------
/** Destructor
*/
VesuvioL1ThetaResolution::~VesuvioL1ThetaResolution() {}
//----------------------------------------------------------------------------------------------
/// Algorithms name for identification. @see Algorithm::name
const std::string VesuvioL1ThetaResolution::name() const { return "VesuvioL1ThetaResolution"; }
/// Algorithm's version for identification. @see Algorithm::version
int VesuvioL1ThetaResolution::version() const { return 1; }
/// Algorithm's category for identification. @see Algorithm::category
const std::string VesuvioL1ThetaResolution::category() const {
return "CorrectionFunctions";
}
/// Algorithm's summary for use in the GUI and help. @see Algorithm::summary
const std::string VesuvioL1ThetaResolution::summary() const {
return "Calculates resolution of l1 and theta";
}
//----------------------------------------------------------------------------------------------
/** Initialize the algorithm's properties.
*/
void VesuvioL1ThetaResolution::init() {
auto positiveInt = boost::make_shared<Kernel::BoundedValidator<int>>();
positiveInt->setLower(1);
auto positiveDouble = boost::make_shared<Kernel::BoundedValidator<double>>();
positiveDouble->setLower(DBL_EPSILON);
std::vector<std::string> exts;
exts.push_back(".par");
exts.push_back(".dat");
declareProperty(new FileProperty("PARFile", "",
FileProperty::FileAction::OptionalLoad,
exts, Direction::Input),
"PAR file containing calibrated detector positions.");
declareProperty("SpectrumMin", 3,
"Index of minimum spectrum");
declareProperty("SpectrumMax", 198,
"Index of maximum spectrum");
declareProperty("NumEvents", 10000, positiveInt,
"Number of scattering events");
declareProperty("Seed", 123456789, positiveInt,
"Seed for random number generator");
declareProperty("L1BinWidth", 0.01, positiveDouble,
"Bin width for L1 distribution.");
declareProperty("ThetaBinWidth", 0.01, positiveDouble,
"Bin width for theta distribution.");
declareProperty(
new WorkspaceProperty<>("L1Distribution", "", Direction::Output, PropertyMode::Optional),
"Distribution of lengths of the final flight path.");
declareProperty(
new WorkspaceProperty<>("ThetaDistribution", "", Direction::Output, PropertyMode::Optional),
"Distribution of scattering angles.");
declareProperty(
new WorkspaceProperty<>("OutputWorkspace", "", Direction::Output),
"Output workspace containing mean and standard deviation of resolution per detector.");
}
//----------------------------------------------------------------------------------------------
/** Execute the algorithm.
*/
void VesuvioL1ThetaResolution::exec() {
// Set up random number generator
m_generator.seed(static_cast<boost::mt19937::result_type>(static_cast<int>(getProperty("Seed"))));
// Load the instrument workspace
loadInstrument();
const std::string l1DistributionWsName = getPropertyValue("L1Distribution");
const std::string thetaDistributionWsName = getPropertyValue("ThetaDistribution");
const size_t numHist = m_instWorkspace->getNumberHistograms();
const int numEvents = getProperty("NumEvents");
// Create output workspace of resolution
m_outputWorkspace = WorkspaceFactory::Instance().create("Workspace2D", 4, numHist, numHist);
// Set vertical axis to statistic labels
TextAxis *specAxis = new TextAxis(4);
specAxis->setLabel(0, "l1_Mean");
specAxis->setLabel(1, "l1_StdDev");
specAxis->setLabel(2, "theta_Mean");
specAxis->setLabel(3, "theta_StdDev");
m_outputWorkspace->replaceAxis(1, specAxis);
// Set X axis to spectrum numbers
m_outputWorkspace->getAxis(0)->setUnit("Label");
auto xAxis = boost::dynamic_pointer_cast<Units::Label>(m_outputWorkspace->getAxis(0)->unit());
if(xAxis)
xAxis->setLabel("Spectrum Number");
// Create output workspaces for distributions if required
if(!l1DistributionWsName.empty()) {
m_l1DistributionWs = WorkspaceFactory::Instance().create("Workspace2D", numHist, numEvents, numEvents);
m_l1DistributionWs->setYUnitLabel("Events");
}
if(!thetaDistributionWsName.empty()) {
m_thetaDistributionWs = WorkspaceFactory::Instance().create("Workspace2D", numHist, numEvents, numEvents);
m_thetaDistributionWs->setYUnitLabel("Events");
}
// Set up progress reporting
Progress prog(this, 0.0, 1.0, numHist);
// Loop for all detectors
for(size_t i = 0; i < numHist; i++) {
std::vector<double> l1;
std::vector<double> theta;
IDetector_const_sptr det = m_instWorkspace->getDetector(i);
// Report progress
std::stringstream report;
report << "Detector " << det->getID();
prog.report(report.str());
// Do simulation
calculateDetector(det, l1, theta);
// Calculate statistics for L1 and theta
Statistics l1Stats = getStatistics(l1);
Statistics thetaStats = getStatistics(theta);
g_log.information() << "Detector ID: " << det->getID() << std::endl
<< "l0: mean=" << l1Stats.mean << ", std.dev.="
<< l1Stats.standard_deviation << std::endl
<< "theta: mean=" << thetaStats.mean << ", std.dev.="
<< thetaStats.standard_deviation << std::endl;
// Set values in output workspace
const int specNo = m_instWorkspace->getSpectrum(i)->getSpectrumNo();
m_outputWorkspace->dataX(0)[i] = specNo;
m_outputWorkspace->dataX(1)[i] = specNo;
m_outputWorkspace->dataX(2)[i] = specNo;
m_outputWorkspace->dataX(3)[i] = specNo;
m_outputWorkspace->dataY(0)[i] = l1Stats.mean;
m_outputWorkspace->dataY(1)[i] = l1Stats.standard_deviation;
m_outputWorkspace->dataY(2)[i] = thetaStats.mean;
m_outputWorkspace->dataY(3)[i] = thetaStats.standard_deviation;
// Process data for L1 distribution
if(m_l1DistributionWs) {
std::vector<double>& x = m_l1DistributionWs->dataX(i);
std::vector<double> y(numEvents, 1.0);
std::sort(l1.begin(), l1.end());
std::copy(l1.begin(), l1.end(), x.begin());
m_l1DistributionWs->dataY(i) = y;
}
// Process data for theta distribution
if(m_thetaDistributionWs) {
std::vector<double>& x = m_thetaDistributionWs->dataX(i);
std::vector<double> y(numEvents, 1.0);
std::sort(theta.begin(), theta.end());
std::copy(theta.begin(), theta.end(), x.begin());
m_thetaDistributionWs->dataY(i) = y;
}
}
// Process the L1 distribution workspace
if(m_l1DistributionWs) {
const double binWidth = getProperty("L1BinWidth");
setProperty("L1Distribution", processDistribution(m_l1DistributionWs, binWidth));
}
// Process the theta distribution workspace
if(m_thetaDistributionWs) {
const double binWidth = getProperty("ThetaBinWidth");
setProperty("ThetaDistribution", processDistribution(m_thetaDistributionWs, binWidth));
}
setProperty("OutputWorkspace", m_outputWorkspace);
}
//----------------------------------------------------------------------------------------------
/** Loads the instrument into a workspace.
*/
void VesuvioL1ThetaResolution::loadInstrument() {
// Get the filename for the VESUVIO IDF
MatrixWorkspace_sptr tempWS = WorkspaceFactory::Instance().create("Workspace2D", 1, 1, 1);
const std::string vesuvioIPF = tempWS->getInstrumentFilename("VESUVIO");
// Load an empty VESUVIO instrument workspace
IAlgorithm_sptr loadInst = AlgorithmManager::Instance().create("LoadEmptyInstrument");
loadInst->initialize();
loadInst->setChild(true);
loadInst->setLogging(false);
loadInst->setProperty("OutputWorkspace", "__evs");
loadInst->setProperty("Filename", vesuvioIPF);
loadInst->execute();
m_instWorkspace = loadInst->getProperty("OutputWorkspace");
// Load the PAR file if provided
const std::string parFilename = getPropertyValue("PARFile");
if(!parFilename.empty()) {
g_log.information() << "Loading PAR file: " << parFilename << std::endl;
//TODO
}
const int specIdxMin = static_cast<int>(m_instWorkspace->getIndexFromSpectrumNumber(getProperty("SpectrumMin")));
const int specIdxMax = static_cast<int>(m_instWorkspace->getIndexFromSpectrumNumber(getProperty("SpectrumMax")));
// Crop the workspace to just the detectors we are interested in
IAlgorithm_sptr crop = AlgorithmManager::Instance().create("CropWorkspace");
crop->initialize();
crop->setChild(true);
crop->setLogging(false);
crop->setProperty("InputWorkspace", m_instWorkspace);
crop->setProperty("OutputWorkspace", "__evs");
crop->setProperty("StartWorkspaceIndex", specIdxMin);
crop->setProperty("EndWorkspaceIndex", specIdxMax);
crop->execute();
m_instWorkspace = crop->getProperty("OutputWorkspace");
m_sample = m_instWorkspace->getInstrument()->getSample();
}
//----------------------------------------------------------------------------------------------
/** Loads the instrument into a workspace.
*/
void VesuvioL1ThetaResolution::calculateDetector(IDetector_const_sptr detector, std::vector<double>& l1Values, std::vector<double>& thetaValues) {
const int numEvents = getProperty("NumEvents");
l1Values.reserve(numEvents);
thetaValues.reserve(numEvents);
//TODO
const double detHeight = 25.0;
const double detWidth = 2.5;
const double beamWidth = 3.0;
// Scattering angle in rad
const double theta = m_instWorkspace->detectorTwoTheta(detector);
if(theta == 0.0)
return;
// Final flight path in cm
const double l1av = detector->getDistance(*m_sample) * 100.0;
const double x0 = l1av * sin(theta);
const double y0 = l1av * cos(theta);
// Get as many events as defined by NumEvents
// This loop is not iteration limited but highly unlikely to ever become infinate
while(l1Values.size() < static_cast<size_t>(numEvents)) {
const double xs = -beamWidth/2 + beamWidth*random();
const double ys = 0.0;
const double zs = -beamWidth/2 + beamWidth*random();
const double rs = sqrt(pow(xs, 2) + pow(xs, 2));
if(rs <= beamWidth/2) {
const double a = -detWidth/2 + detWidth*random();
const double xd = x0 - a*cos(theta);
const double yd = y0 + a*sin(theta);
const double zd = -detHeight/2 + detHeight*random();
const double l1 = sqrt(pow(xd-xs, 2) + pow(yd-ys, 2) + pow(zd-zs, 2));
double angle = acos(yd / l1);
if(xd < 0.0)
angle *= -1;
// Convert angle to degrees
angle *= 180.0 / M_PI;
l1Values.push_back(l1);
thetaValues.push_back(angle);
}
interruption_point();
}
}
//----------------------------------------------------------------------------------------------
/** Rebins the distributions and sets error values.
*/
MatrixWorkspace_sptr VesuvioL1ThetaResolution::processDistribution(MatrixWorkspace_sptr ws, const double binWidth) {
const size_t numHist = ws->getNumberHistograms();
double xMin(DBL_MAX);
double xMax(DBL_MIN);
for(size_t i = 0; i < numHist; i++) {
const std::vector<double> x = ws->readX(i);
if(x[0] < xMin)
xMin = x[0];
if(x[x.size()-1] > xMax)
xMax = x[x.size()-1];
}
std::stringstream binParams;
binParams << xMin << "," << binWidth << "," << xMax;
IAlgorithm_sptr rebin = AlgorithmManager::Instance().create("Rebin");
rebin->initialize();
rebin->setChild(true);
rebin->setLogging(false);
rebin->setProperty("InputWorkspace", ws);
rebin->setProperty("OutputWorkspace", "__rebin");
rebin->setProperty("Params", binParams.str());
rebin->execute();
ws = rebin->getProperty("OutputWorkspace");
for(size_t i = 0; i < numHist; i++) {
const std::vector<double> y = ws->readY(i);
std::vector<double>& e = ws->dataE(i);
std::transform(y.begin(), y.end(), e.begin(), sqrt);
}
return ws;
}
//----------------------------------------------------------------------------------------------
/** Generates a random number.
*/
double VesuvioL1ThetaResolution::random() {
typedef boost::uniform_real<double> uniform_double;
return boost::variate_generator<boost::mt19937 &, uniform_double>(m_generator, uniform_double(0.0, 1.0))();
}
} // namespace Algorithms
} // namespace Mantid