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#include "MantidQtCustomInterfaces/ConvFit.h"
#include "MantidQtCustomInterfaces/UserInputValidator.h"
#include "MantidQtMantidWidgets/RangeSelector.h"
#include "MantidAPI/AlgorithmManager.h"
#include "MantidAPI/FunctionFactory.h"
#include "MantidAPI/FunctionDomain1D.h"
#include <QFileInfo>
#include <QMenu>
#include <qwt_plot.h>
#include <qwt_plot_curve.h>
namespace
{
Mantid::Kernel::Logger g_log("ConvFit");
}
namespace MantidQt
{
namespace CustomInterfaces
{
namespace IDA
{
ConvFit::ConvFit(QWidget * parent) :
IDATab(parent),
m_stringManager(NULL), m_cfTree(NULL),
m_fixedProps(),
m_cfInputWS(), m_cfInputWSName(),
m_confitResFileType()
void ConvFit::setup()
{
// Create Property Managers
m_stringManager = new QtStringPropertyManager();
// Create TreeProperty Widget
m_cfTree = new QtTreePropertyBrowser();
uiForm().confit_properties->addWidget(m_cfTree);
// add factories to managers
m_cfTree->setFactoryForManager(m_blnManager, qtCheckBoxFactory());
m_cfTree->setFactoryForManager(m_dblManager, doubleEditorFactory());
// Create Plot Widget
m_plots["ConvFitPlot"] = new QwtPlot(m_parentWidget);
m_plots["ConvFitPlot"]->setAxisFont(QwtPlot::xBottom, m_parentWidget->font());
m_plots["ConvFitPlot"]->setAxisFont(QwtPlot::yLeft, m_parentWidget->font());
m_plots["ConvFitPlot"]->setCanvasBackground(Qt::white);
uiForm().confit_plot->addWidget(m_plots["ConvFitPlot"]);
// Create Range Selectors
m_rangeSelectors["ConvFitRange"] = new MantidQt::MantidWidgets::RangeSelector(m_plots["ConvFitPlot"]);
m_rangeSelectors["ConvFitBackRange"] = new MantidQt::MantidWidgets::RangeSelector(m_plots["ConvFitPlot"],
MantidQt::MantidWidgets::RangeSelector::YSINGLE);
m_rangeSelectors["ConvFitBackRange"]->setColour(Qt::darkGreen);
m_rangeSelectors["ConvFitBackRange"]->setRange(0.0, 1.0);
m_rangeSelectors["ConvFitHWHM"] = new MantidQt::MantidWidgets::RangeSelector(m_plots["ConvFitPlot"]);
m_rangeSelectors["ConvFitHWHM"]->setColour(Qt::red);
// Populate Property Widget
m_properties["Convolve"] = m_blnManager->addProperty("Convolve");
m_cfTree->addProperty(m_properties["Convolve"]);
m_blnManager->setValue(m_properties["Convolve"], true);
m_properties["FitRange"] = m_grpManager->addProperty("Fitting Range");
m_properties["StartX"] = m_dblManager->addProperty("StartX");
m_dblManager->setDecimals(m_properties["StartX"], NUM_DECIMALS);
m_properties["EndX"] = m_dblManager->addProperty("EndX");
m_dblManager->setDecimals(m_properties["EndX"], NUM_DECIMALS);
m_properties["FitRange"]->addSubProperty(m_properties["StartX"]);
m_properties["FitRange"]->addSubProperty(m_properties["EndX"]);
m_cfTree->addProperty(m_properties["FitRange"]);
m_properties["LinearBackground"] = m_grpManager->addProperty("Background");
m_properties["BGA0"] = m_dblManager->addProperty("A0");
m_dblManager->setDecimals(m_properties["BGA0"], NUM_DECIMALS);
m_properties["BGA1"] = m_dblManager->addProperty("A1");
m_dblManager->setDecimals(m_properties["BGA1"], NUM_DECIMALS);
m_properties["LinearBackground"]->addSubProperty(m_properties["BGA0"]);
m_properties["LinearBackground"]->addSubProperty(m_properties["BGA1"]);
m_cfTree->addProperty(m_properties["LinearBackground"]);
// Delta Function
m_properties["DeltaFunction"] = m_grpManager->addProperty("Delta Function");
m_properties["UseDeltaFunc"] = m_blnManager->addProperty("Use");
m_properties["DeltaHeight"] = m_dblManager->addProperty("Height");
m_dblManager->setDecimals(m_properties["DeltaHeight"], NUM_DECIMALS);
m_properties["DeltaFunction"]->addSubProperty(m_properties["UseDeltaFunc"]);
m_cfTree->addProperty(m_properties["DeltaFunction"]);
m_properties["Lorentzian1"] = createLorentzian("Lorentzian 1");
m_properties["Lorentzian2"] = createLorentzian("Lorentzian 2");
uiForm().confit_leTempCorrection->setValidator(new QDoubleValidator(m_parentWidget));
connect(m_rangeSelectors["ConvFitRange"], SIGNAL(minValueChanged(double)), this, SLOT(minChanged(double)));
connect(m_rangeSelectors["ConvFitRange"], SIGNAL(maxValueChanged(double)), this, SLOT(maxChanged(double)));
connect(m_rangeSelectors["ConvFitBackRange"], SIGNAL(minValueChanged(double)), this, SLOT(backgLevel(double)));
connect(m_rangeSelectors["ConvFitHWHM"], SIGNAL(minValueChanged(double)), this, SLOT(hwhmChanged(double)));
connect(m_rangeSelectors["ConvFitHWHM"], SIGNAL(maxValueChanged(double)), this, SLOT(hwhmChanged(double)));
connect(m_dblManager, SIGNAL(valueChanged(QtProperty*, double)), this, SLOT(updateRS(QtProperty*, double)));
connect(m_blnManager, SIGNAL(valueChanged(QtProperty*, bool)), this, SLOT(checkBoxUpdate(QtProperty*, bool)));
connect(m_dblManager, SIGNAL(propertyChanged(QtProperty*)), this, SLOT(plotGuess(QtProperty*)));
connect(uiForm().confit_ckTempCorrection, SIGNAL(toggled(bool)), uiForm().confit_leTempCorrection, SLOT(setEnabled(bool)));
// Have FWHM Range linked to Fit Start/End Range
connect(m_rangeSelectors["ConvFitRange"], SIGNAL(rangeChanged(double, double)), m_rangeSelectors["ConvFitHWHM"], SLOT(setRange(double, double)));
m_rangeSelectors["ConvFitHWHM"]->setRange(-1.0,1.0);
hwhmUpdateRS(0.02);
typeSelection(uiForm().confit_cbFitType->currentIndex());
bgTypeSelection(uiForm().confit_cbBackground->currentIndex());
// Replot input automatically when file / spec no changes
connect(uiForm().confit_spPlotSpectrum, SIGNAL(valueChanged(int)), this, SLOT(plotInput()));
connect(uiForm().confit_dsSampleInput, SIGNAL(dataReady(const QString&)), this, SLOT(plotInput()));
connect(uiForm().confit_cbFitType, SIGNAL(currentIndexChanged(int)), this, SLOT(typeSelection(int)));
connect(uiForm().confit_cbBackground, SIGNAL(currentIndexChanged(int)), this, SLOT(bgTypeSelection(int)));
connect(uiForm().confit_pbSingle, SIGNAL(clicked()), this, SLOT(singleFit()));
// Context menu
m_cfTree->setContextMenuPolicy(Qt::CustomContextMenu);
connect(m_cfTree, SIGNAL(customContextMenuRequested(const QPoint &)), this, SLOT(fitContextMenu(const QPoint &)));
// Tie
connect(uiForm().confit_cbFitType,SIGNAL(currentIndexChanged(QString)),SLOT(showTieCheckbox(QString)));
showTieCheckbox( uiForm().confit_cbFitType->currentText() );
}
void ConvFit::run()
{
{
return;
}
QString ftype = fitTypeString();
QString bg = backgroundString();
if(ftype == "")
{
g_log.error("No fit type defined");
}
bool useTies = uiForm().confit_ckTieCentres->isChecked();
QString ties = (useTies ? "True" : "False");
Mantid::API::CompositeFunction_sptr func = createFunction(useTies);
std::string function = std::string(func->asString());
QString stX = m_properties["StartX"]->valueText();
QString enX = m_properties["EndX"]->valueText();
QString pyInput =
"from IndirectDataAnalysis import confitSeq\n"
"input = '" + m_cfInputWSName + "'\n"
"func = r'" + QString::fromStdString(function) + "'\n"
"startx = " + stX + "\n"
"endx = " + enX + "\n"
"plot = '" + uiForm().confit_cbPlotOutput->currentText() + "'\n"
"ties = " + ties + "\n"
"save = ";
if(uiForm().confit_spSpectraMin->text() != "")
pyInput += "specMin = " + uiForm().confit_spSpectraMin->text() + "\n";
if(uiForm().confit_spSpectraMax->text() != "")
pyInput += "specMax = " + uiForm().confit_spSpectraMax->text() + "\n";
pyInput += uiForm().confit_ckSaveSeq->isChecked() ? "True\n" : "False\n";
if ( m_blnManager->value(m_properties["Convolve"]) ) pyInput += "convolve = True\n";
else pyInput += "convolve = False\n";
if ( uiForm().confit_ckVerbose->isChecked() ) pyInput += "verbose = True\n";
else pyInput += "verbose = False\n";
QString temperature = uiForm().confit_leTempCorrection->text();
bool useTempCorrection = (!temperature.isEmpty() && uiForm().confit_ckTempCorrection->isChecked());
if ( useTempCorrection )
pyInput += "temp=" + temperature + "\n";
pyInput +=
"bg = '" + bg + "'\n"
"ftype = '" + ftype + "'\n"
"confitSeq(input, func, startx, endx, ftype, bg, temp, specMin, specMax, convolve, Verbose=verbose, Plot=plot, Save=save)\n";
QString pyOutput = runPythonCode(pyInput);
}
/**
* Validates the user's inputs in the ConvFit tab.
*/
using Mantid::API::AnalysisDataService;
UserInputValidator uiv;
uiv.checkDataSelectorIsValid("Sample", uiForm().confit_dsSampleInput);
uiv.checkDataSelectorIsValid("Resolution", uiForm().confit_dsResInput);
auto range = std::make_pair(m_dblManager->value(m_properties["StartX"]), m_dblManager->value(m_properties["EndX"]));
uiv.checkValidRange("Fitting Range", range);
// Enforce the rule that at least one fit is needed; either a delta function, one or two lorentzian functions,
// or both. (The resolution function must be convolved with a model.)
if ( uiForm().confit_cbFitType->currentIndex() == 0 && ! m_blnManager->value(m_properties["UseDeltaFunc"]) )
uiv.addErrorMessage("No fit function has been selected.");
QString error = uiv.generateErrorMessage();
showMessageBox(error);
return error.isEmpty();
}
void ConvFit::loadSettings(const QSettings & settings)
{
uiForm().confit_dsSampleInput->readSettings(settings.group());
uiForm().confit_dsResInput->readSettings(settings.group());
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}
namespace
{
////////////////////////////
// Anon Helper functions. //
////////////////////////////
/**
* Takes an index and a name, and constructs a single level parameter name
* for use with function ties, etc.
*
* @param index :: the index of the function in the first level.
* @param name :: the name of the parameter inside the function.
*
* @returns the constructed function parameter name.
*/
std::string createParName(size_t index, const std::string & name = "")
{
std::stringstream prefix;
prefix << "f" << index << "." << name;
return prefix.str();
}
/**
* Takes an index, a sub index and a name, and constructs a double level
* (nested) parameter name for use with function ties, etc.
*
* @param index :: the index of the function in the first level.
* @param subIndex :: the index of the function in the second level.
* @param name :: the name of the parameter inside the function.
*
* @returns the constructed function parameter name.
*/
std::string createParName(size_t index, size_t subIndex, const std::string & name = "")
{
std::stringstream prefix;
prefix << "f" << index << ".f" << subIndex << "." << name;
return prefix.str();
}
}
/**
* Creates a function to carry out the fitting in the "ConvFit" tab. The function consists
* of various sub functions, with the following structure:
*
* Composite
* |
* +-- LinearBackground
* +-- Convolution
* |
* +-- Resolution
* +-- Model (AT LEAST one delta function or one/two lorentzians.)
* |
* +-- DeltaFunction (yes/no)
* +-- ProductFunction
* |
* +-- Lorentzian 1 (yes/no)
* +-- Temperature Correction (yes/no)
* +-- ProductFunction
* |
* +-- Lorentzian 2 (yes/no)
* +-- Temperature Correction (yes/no)
* @param tieCentres :: whether to tie centres of the two lorentzians.
*
* @returns the composite fitting function.
*/
Mantid::API::CompositeFunction_sptr ConvFit::createFunction(bool tieCentres)
{
auto conv = boost::dynamic_pointer_cast<Mantid::API::CompositeFunction>(Mantid::API::FunctionFactory::Instance().createFunction("Convolution"));
Mantid::API::CompositeFunction_sptr comp( new Mantid::API::CompositeFunction );
Mantid::API::IFunction_sptr func;
size_t index = 0;
// -------------------------------------
// --- Composite / Linear Background ---
// -------------------------------------
func = Mantid::API::FunctionFactory::Instance().createFunction("LinearBackground");
const int bgType = uiForm().confit_cbBackground->currentIndex(); // 0 = Fixed Flat, 1 = Fit Flat, 2 = Fit all
if ( bgType == 0 || ! m_properties["BGA0"]->subProperties().isEmpty() )
comp->tie("f0.A0", m_properties["BGA0"]->valueText().toStdString() );
func->setParameter("A0", m_properties["BGA0"]->valueText().toDouble());
}
if ( bgType != 2 )
{
comp->tie("f0.A1", "0.0");
}
else
{
if ( ! m_properties["BGA1"]->subProperties().isEmpty() )
comp->tie("f0.A1", m_properties["BGA1"]->valueText().toStdString() );
else { func->setParameter("A1", m_properties["BGA1"]->valueText().toDouble()); }
}
// --------------------------------------------
// --- Composite / Convolution / Resolution ---
// --------------------------------------------
func = Mantid::API::FunctionFactory::Instance().createFunction("Resolution");
//add resolution file
if (uiForm().confit_dsResInput->isFileSelectorVisible())
{
std::string resfilename = uiForm().confit_dsResInput->getFullFilePath().toStdString();
Mantid::API::IFunction::Attribute attr(resfilename);
func->setAttribute("FileName", attr);
}
else
{
std::string resWorkspace = uiForm().confit_dsResInput->getCurrentDataName().toStdString();
Mantid::API::IFunction::Attribute attr(resWorkspace);
func->setAttribute("Workspace", attr);
}
// --------------------------------------------------------
// --- Composite / Convolution / Model / Delta Function ---
// --------------------------------------------------------
Mantid::API::CompositeFunction_sptr model( new Mantid::API::CompositeFunction );
bool useDeltaFunc = m_blnManager->value(m_properties["UseDeltaFunc"]);
size_t subIndex = 0;
{
func = Mantid::API::FunctionFactory::Instance().createFunction("DeltaFunction");
index = model->addFunction(func);
std::string parName = createParName(index);
populateFunction(func, model, m_properties["DeltaFunction"], parName, false);
// ------------------------------------------------------------
// --- Composite / Convolution / Model / Temperature Factor ---
// ------------------------------------------------------------
//create temperature correction function to multiply with the lorentzians
Mantid::API::IFunction_sptr tempFunc;
QString temperature = uiForm().confit_leTempCorrection->text();
bool useTempCorrection = (!temperature.isEmpty() && uiForm().confit_ckTempCorrection->isChecked());
// -----------------------------------------------------
// --- Composite / Convolution / Model / Lorentzians ---
// -----------------------------------------------------
std::string prefix1;
std::string prefix2;
int fitTypeIndex = uiForm().confit_cbFitType->currentIndex();
// Add 1st Lorentzian
if(fitTypeIndex > 0)
//if temperature not included then product is lorentzian * 1
//create product function for temp * lorentzian
auto product = boost::dynamic_pointer_cast<Mantid::API::CompositeFunction>(Mantid::API::FunctionFactory::Instance().createFunction("ProductFunction"));
if(useTempCorrection)
createTemperatureCorrection(product);
func = Mantid::API::FunctionFactory::Instance().createFunction("Lorentzian");
subIndex = product->addFunction(func);
index = model->addFunction(product);
prefix1 = createParName(index, subIndex);
populateFunction(func, model, m_properties["Lorentzian1"], prefix1, false);
// Add 2nd Lorentzian
if(fitTypeIndex == 2)
{
//if temperature not included then product is lorentzian * 1
//create product function for temp * lorentzian
auto product = boost::dynamic_pointer_cast<Mantid::API::CompositeFunction>(Mantid::API::FunctionFactory::Instance().createFunction("ProductFunction"));
createTemperatureCorrection(product);
func = Mantid::API::FunctionFactory::Instance().createFunction("Lorentzian");
subIndex = product->addFunction(func);
index = model->addFunction(product);
prefix2 = createParName(index, subIndex);
populateFunction(func, model, m_properties["Lorentzian2"], prefix2, false);
conv->addFunction(model);
comp->addFunction(conv);
// Tie PeakCentres together
if ( tieCentres )
{
std::string tieL = prefix1 + "PeakCentre";
std::string tieR = prefix2 + "PeakCentre";
model->tie(tieL, tieR);
}
comp->applyTies();
return comp;
}
void ConvFit::createTemperatureCorrection(Mantid::API::CompositeFunction_sptr product)
{
//create temperature correction function to multiply with the lorentzians
Mantid::API::IFunction_sptr tempFunc;
QString temperature = uiForm().confit_leTempCorrection->text();
//create user function for the exponential correction
// (x*temp) / 1-exp(-(x*temp))
tempFunc = Mantid::API::FunctionFactory::Instance().createFunction("UserFunction");
//11.606 is the conversion factor from meV to K
std::string formula = "((x*11.606)/Temp) / (1 - exp(-((x*11.606)/Temp)))";
Mantid::API::IFunction::Attribute att(formula);
tempFunc->setAttribute("Formula", att);
tempFunc->setParameter("Temp", temperature.toDouble());
product->addFunction(tempFunc);
product->tie("f0.Temp", temperature.toStdString());
product->applyTies();
double ConvFit::getInstrumentResolution(std::string workspaceName)
{
using namespace Mantid::API;
double resolution = 0.0;
try
{
Mantid::Geometry::Instrument_const_sptr inst =
AnalysisDataService::Instance().retrieveWS<MatrixWorkspace>(workspaceName)->getInstrument();
std::string analyser = inst->getStringParameter("analyser")[0];
// If the analyser component is not already in the data file the laod it from the parameter file
if(inst->getComponentByName(analyser)->getNumberParameter("resolution").size() == 0)
{
std::string reflection = inst->getStringParameter("reflection")[0];
IAlgorithm_sptr loadParamFile = AlgorithmManager::Instance().create("LoadParameterFile");
loadParamFile->initialize();
loadParamFile->setProperty("Workspace", workspaceName);
loadParamFile->setProperty("Filename", inst->getName()+"_"+analyser+"_"+reflection+"_Parameters.xml");
loadParamFile->execute();
inst = AnalysisDataService::Instance().retrieveWS<MatrixWorkspace>(workspaceName)->getInstrument();
}
resolution = inst->getComponentByName(analyser)->getNumberParameter("resolution")[0];
}
catch(Mantid::Kernel::Exception::NotFoundError &e)
{
resolution = 0;
}
return resolution;
}
QtProperty* ConvFit::createLorentzian(const QString & name)
{
QtProperty* lorentzGroup = m_grpManager->addProperty(name);
m_properties[name+".Amplitude"] = m_dblManager->addProperty("Amplitude");
// m_dblManager->setRange(m_properties[name+".Amplitude"], 0.0, 1.0); // 0 < Amplitude < 1
m_properties[name+".PeakCentre"] = m_dblManager->addProperty("PeakCentre");
m_properties[name+".FWHM"] = m_dblManager->addProperty("FWHM");
m_dblManager->setDecimals(m_properties[name+".Amplitude"], NUM_DECIMALS);
m_dblManager->setDecimals(m_properties[name+".PeakCentre"], NUM_DECIMALS);
m_dblManager->setDecimals(m_properties[name+".FWHM"], NUM_DECIMALS);
m_dblManager->setValue(m_properties[name+".FWHM"], 0.02);
lorentzGroup->addSubProperty(m_properties[name+".Amplitude"]);
lorentzGroup->addSubProperty(m_properties[name+".PeakCentre"]);
lorentzGroup->addSubProperty(m_properties[name+".FWHM"]);
return lorentzGroup;
}
void ConvFit::populateFunction(Mantid::API::IFunction_sptr func, Mantid::API::IFunction_sptr comp, QtProperty* group, const std::string & pref, bool tie)
{
// Get subproperties of group and apply them as parameters on the function object
QList<QtProperty*> props = group->subProperties();
for ( int i = 0; i < props.size(); i++ )
{
if ( tie || ! props[i]->subProperties().isEmpty() )
{
std::string name = pref + props[i]->propertyName().toStdString();
std::string value = props[i]->valueText().toStdString();
}
else
{
std::string propName = props[i]->propertyName().toStdString();
double propValue = props[i]->valueText().toDouble();
if ( propValue )
{
func->setParameter(propName, propValue);
}
/**
* Generate a string to describe the fit type selected by the user.
* Used when naming the resultant workspaces.
*
* Assertions used to guard against any future changes that dont take
* workspace naming into account.
*
* @returns the generated QString.
*/
QString ConvFit::fitTypeString() const
{
QString fitType("");
if( m_blnManager->value(m_properties["UseDeltaFunc"]) )
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fitType += "Delta";
switch ( uiForm().confit_cbFitType->currentIndex() )
{
case 0:
break;
case 1:
fitType += "1L"; break;
case 2:
fitType += "2L"; break;
}
return fitType;
}
/**
* Generate a string to describe the background selected by the user.
* Used when naming the resultant workspaces.
*
* Assertions used to guard against any future changes that dont take
* workspace naming into account.
*
* @returns the generated QString.
*/
QString ConvFit::backgroundString() const
{
switch ( uiForm().confit_cbBackground->currentIndex() )
{
case 0:
return "FixF_s";
case 1:
return "FitF_s";
case 2:
return "FitL_s";
default:
return "";
}
}
void ConvFit::typeSelection(int index)
{
m_cfTree->removeProperty(m_properties["Lorentzian1"]);
m_cfTree->removeProperty(m_properties["Lorentzian2"]);
switch ( index )
{
case 0:
m_rangeSelectors["ConvFitHWHM"]->setVisible(false);
m_cfTree->addProperty(m_properties["Lorentzian1"]);
m_rangeSelectors["ConvFitHWHM"]->setVisible(true);
m_cfTree->addProperty(m_properties["Lorentzian1"]);
m_cfTree->addProperty(m_properties["Lorentzian2"]);
m_rangeSelectors["ConvFitHWHM"]->setVisible(true);
break;
}
}
void ConvFit::bgTypeSelection(int index)
{
if ( index == 2 )
{
m_properties["LinearBackground"]->addSubProperty(m_properties["BGA1"]);
m_properties["LinearBackground"]->removeSubProperty(m_properties["BGA1"]);
}
}
void ConvFit::plotInput()
{
using Mantid::API::MatrixWorkspace;
using Mantid::API::AnalysisDataService;
using Mantid::Kernel::Exception::NotFoundError;
const bool plotGuess = uiForm().confit_ckPlotGuess->isChecked();
uiForm().confit_ckPlotGuess->setChecked(false);
if(uiForm().confit_dsSampleInput->getCurrentDataName() != m_cfInputWSName)
{
m_cfInputWSName = uiForm().confit_dsSampleInput->getCurrentDataName();
m_cfInputWS = AnalysisDataService::Instance().retrieveWS<const MatrixWorkspace>(m_cfInputWSName.toStdString());
if(!m_cfInputWS)
showMessageBox("Could not find the workspace in ADS. See log for details.");
int specNo = uiForm().confit_spPlotSpectrum->text().toInt();
// Set spectra max value
int specMin = 0;
int specMax = static_cast<int>(m_cfInputWS->getNumberHistograms()) - 1;
m_valInt->setRange(specMin, specMax);
/* uiForm().confit_spSpectraMin->setText(QString::number(specMin)); */
/* uiForm().confit_spSpectraMax->setText(QString::number(specMax)); */
if ( specNo < 0 || specNo > specMax )
/* uiForm().confit_spPlotSpectrum->setText("0"); */
int smCurrent = uiForm().confit_spSpectraMax->text().toInt();
if ( smCurrent < 0 || smCurrent > specMax )
/* uiForm().confit_spSpectraMax->setText(QString::number(specMax)); */
plotMiniPlot(m_cfInputWS, specNo, "ConvFitPlot", "CFDataCurve");
const std::pair<double, double> range = getCurveRange("CFDataCurve");
m_rangeSelectors["ConvFitRange"]->setRange(range.first, range.second);
uiForm().confit_ckPlotGuess->setChecked(plotGuess);
}
catch(std::invalid_argument & exc)
{
// Default FWHM to resolution of instrument
double resolution = getInstrumentResolution(m_cfInputWSName.toStdString());
if(resolution > 0)
{
m_dblManager->setValue(m_properties["Lorentzian 1.FWHM"], resolution);
m_dblManager->setValue(m_properties["Lorentzian 2.FWHM"], resolution);
}
void ConvFit::plotGuess(QtProperty*)
{
if ( ! uiForm().confit_ckPlotGuess->isChecked() || m_curves["CFDataCurve"] == NULL )
{
return;
}
bool tieCentres = (uiForm().confit_cbFitType->currentIndex() > 1);
Mantid::API::CompositeFunction_sptr function = createFunction(tieCentres);
if ( m_cfInputWS == NULL )
{
plotInput();
}
const size_t binIndexLow = m_cfInputWS->binIndexOf(m_dblManager->value(m_properties["StartX"]));
const size_t binIndexHigh = m_cfInputWS->binIndexOf(m_dblManager->value(m_properties["EndX"]));
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const size_t nData = binIndexHigh - binIndexLow;
std::vector<double> inputXData(nData);
const Mantid::MantidVec& XValues = m_cfInputWS->readX(0);
const bool isHistogram = m_cfInputWS->isHistogramData();
for ( size_t i = 0; i < nData; i++ )
{
if ( isHistogram )
{
inputXData[i] = 0.5 * ( XValues[binIndexLow+i] + XValues[binIndexLow+i+1] );
}
else
{
inputXData[i] = XValues[binIndexLow+i];
}
}
Mantid::API::FunctionDomain1DVector domain(inputXData);
Mantid::API::FunctionValues outputData(domain);
function->function(domain, outputData);
QVector<double> dataX, dataY;
for ( size_t i = 0; i < nData; i++ )
{
dataX.append(inputXData[i]);
dataY.append(outputData.getCalculated(i));
}
m_curves["CFCalcCurve"] = new QwtPlotCurve();
m_curves["CFCalcCurve"]->setData(dataX, dataY);
QPen fitPen(Qt::red, Qt::SolidLine);
m_curves["CFCalcCurve"]->setPen(fitPen);
m_curves["CFCalcCurve"]->attach(m_plots["ConvFitPlot"]);
m_plots["ConvFitPlot"]->replot();
if ( m_curves["CFDataCurve"] == NULL )
showMessageBox("There was an error reading the data file.");
uiForm().confit_ckPlotGuess->setChecked(false);
Mantid::API::CompositeFunction_sptr function = createFunction(uiForm().confit_ckTieCentres->isChecked());
// get output name
QString ftype = fitTypeString();
QString bg = backgroundString();
if(ftype == "")
{
g_log.error("No fit type defined!");
}
QString outputNm = runPythonCode(QString("from IndirectCommon import getWSprefix\nprint getWSprefix('") + m_cfInputWSName + QString("')\n")).trimmed();
outputNm += QString("conv_") + ftype + bg + uiForm().confit_spPlotSpectrum->text();
std::string output = outputNm.toStdString();
Mantid::API::IAlgorithm_sptr alg = Mantid::API::AlgorithmManager::Instance().create("Fit");
alg->initialize();
alg->setPropertyValue("Function", function->asString());
alg->setPropertyValue("InputWorkspace", m_cfInputWSName.toStdString());
alg->setProperty<int>("WorkspaceIndex", uiForm().confit_spPlotSpectrum->text().toInt());
alg->setProperty<double>("StartX", m_dblManager->value(m_properties["StartX"]));
alg->setProperty<double>("EndX", m_dblManager->value(m_properties["EndX"]));
alg->setProperty("Output", output);
alg->setProperty("CreateOutput", true);
alg->setProperty("OutputCompositeMembers", true);
alg->setProperty("ConvolveMembers", true);
alg->execute();
if ( ! alg->isExecuted() )
showMessageBox("Fit algorithm failed.");
plotMiniPlot(outputNm+"_Workspace", 1, "ConvFitPlot", "CFCalcCurve");
m_curves["CFCalcCurve"]->setPen(fitPen);
replot("ConvFitPlot");
Mantid::API::IFunction_sptr outputFunc = alg->getProperty("Function");
// Get params.
QMap<QString,double> parameters;
std::vector<std::string> parNames = outputFunc->getParameterNames();
std::vector<double> parVals;
for( size_t i = 0; i < parNames.size(); ++i )
parVals.push_back(outputFunc->getParameter(parNames[i]));
for ( size_t i = 0; i < parNames.size(); ++i )
parameters[QString(parNames[i].c_str())] = parVals[i];
// Populate Tree widget with values
// Background should always be f0
m_dblManager->setValue(m_properties["BGA0"], parameters["f0.A0"]);
m_dblManager->setValue(m_properties["BGA1"], parameters["f0.A1"]);
int noLorentz = uiForm().confit_cbFitType->currentIndex();
int funcIndex = 0;
int subIndex = 0;
//check if we're using a temperature correction
if (uiForm().confit_ckTempCorrection->isChecked() &&
!uiForm().confit_leTempCorrection->text().isEmpty())
{
subIndex++;
}
bool usingDeltaFunc = m_blnManager->value(m_properties["UseDeltaFunc"]);
bool usingCompositeFunc = ((usingDeltaFunc && noLorentz > 0) || noLorentz > 1);
QString prefBase = "f1.f1.";
if ( usingDeltaFunc )
QString key = prefBase;
if (usingCompositeFunc)
{
key += "f0.";
}
key += "Height";
m_dblManager->setValue(m_properties["DeltaHeight"], parameters[key]);
// One Lorentz
QString pref = prefBase;
if ( usingCompositeFunc )
{
pref += "f" + QString::number(funcIndex) + ".f" + QString::number(subIndex) + ".";
}
else
{
pref += "f" + QString::number(subIndex) + ".";
}
m_dblManager->setValue(m_properties["Lorentzian 1.Amplitude"], parameters[pref+"Amplitude"]);
m_dblManager->setValue(m_properties["Lorentzian 1.PeakCentre"], parameters[pref+"PeakCentre"]);
m_dblManager->setValue(m_properties["Lorentzian 1.FWHM"], parameters[pref+"FWHM"]);
if ( noLorentz > 1 )
{
// Two Lorentz
QString pref = prefBase;
pref += "f" + QString::number(funcIndex) + ".f" + QString::number(subIndex) + ".";
m_dblManager->setValue(m_properties["Lorentzian 2.Amplitude"], parameters[pref+"Amplitude"]);
m_dblManager->setValue(m_properties["Lorentzian 2.PeakCentre"], parameters[pref+"PeakCentre"]);
m_dblManager->setValue(m_properties["Lorentzian 2.FWHM"], parameters[pref+"FWHM"]);
}
void ConvFit::minChanged(double val)
{
m_dblManager->setValue(m_properties["StartX"], val);
}
void ConvFit::maxChanged(double val)
{
m_dblManager->setValue(m_properties["EndX"], val);
}
void ConvFit::hwhmChanged(double val)
{
const double peakCentre = m_dblManager->value(m_properties["Lorentzian 1.PeakCentre"]);
// Always want FWHM to display as positive.
const double hwhm = std::fabs(val-peakCentre);
// Update the property
m_rangeSelectors["ConvFitHWHM"]->blockSignals(true);
m_dblManager->setValue(m_properties["Lorentzian 1.FWHM"], hwhm*2);
m_rangeSelectors["ConvFitHWHM"]->blockSignals(false);
}
void ConvFit::backgLevel(double val)
{
m_dblManager->setValue(m_properties["BGA0"], val);
}
void ConvFit::updateRS(QtProperty* prop, double val)
{
if ( prop == m_properties["StartX"] ) { m_rangeSelectors["ConvFitRange"]->setMinimum(val); }
else if ( prop == m_properties["EndX"] ) { m_rangeSelectors["ConvFitRange"]->setMaximum(val); }
else if ( prop == m_properties["BGA0"] ) { m_rangeSelectors["ConvFitBackRange"]->setMinimum(val); }
else if ( prop == m_properties["Lorentzian 1.FWHM"] ) { hwhmUpdateRS(val); }
else if ( prop == m_properties["Lorentzian 1.PeakCentre"] )
hwhmUpdateRS(m_dblManager->value(m_properties["Lorentzian 1.FWHM"]));
}
void ConvFit::hwhmUpdateRS(double val)
{
const double peakCentre = m_dblManager->value(m_properties["Lorentzian 1.PeakCentre"]);
m_rangeSelectors["ConvFitHWHM"]->setMinimum(peakCentre-val/2);
m_rangeSelectors["ConvFitHWHM"]->setMaximum(peakCentre+val/2);
}
void ConvFit::checkBoxUpdate(QtProperty* prop, bool checked)
{
// Add/remove some properties to display only relevant options
if ( prop == m_properties["UseDeltaFunc"] )
if ( checked )
{
m_properties["DeltaFunction"]->addSubProperty(m_properties["DeltaHeight"]);
uiForm().confit_cbPlotOutput->addItem("Height");
uiForm().confit_cbPlotOutput->addItem("EISF");
m_properties["DeltaFunction"]->removeSubProperty(m_properties["DeltaHeight"]);
uiForm().confit_cbPlotOutput->removeItem(uiForm().confit_cbPlotOutput->count()-1);
uiForm().confit_cbPlotOutput->removeItem(uiForm().confit_cbPlotOutput->count()-1);
}
}
void ConvFit::fitContextMenu(const QPoint &)
{
QtBrowserItem* item(NULL);
item = m_cfTree->currentItem();
if ( ! item )
return;
// is it a fit property ?
QtProperty* prop = item->property();
if ( prop == m_properties["StartX"] || prop == m_properties["EndX"] )
return;
// is it already fixed?
bool fixed = prop->propertyManager() != m_dblManager;
if ( fixed && prop->propertyManager() != m_stringManager )
return;
// Create the menu
QMenu* menu = new QMenu("ConvFit", m_cfTree);
QAction* action;
if ( ! fixed )
{
action = new QAction("Fix", m_parentWidget);
connect(action, SIGNAL(triggered()), this, SLOT(fixItem()));
}
else
{
action = new QAction("Remove Fix", m_parentWidget);
connect(action, SIGNAL(triggered()), this, SLOT(unFixItem()));
}
menu->addAction(action);
// Show the menu
menu->popup(QCursor::pos());
}
void ConvFit::fixItem()
{
QtBrowserItem* item = m_cfTree->currentItem();
// Determine what the property is.
QtProperty* prop = item->property();
QtProperty* fixedProp = m_stringManager->addProperty( prop->propertyName() );