diff --git a/App/inc/ROOTGSLNLSMinimizer.h b/App/inc/ROOTGSLNLSMinimizer.h
index 6ac216fded535f72a58fe36fe421b96d1f1152ad..435a17ad71e61d3b4ac4cd853120202743bef4d5 100644
--- a/App/inc/ROOTGSLNLSMinimizer.h
+++ b/App/inc/ROOTGSLNLSMinimizer.h
@@ -65,7 +65,7 @@ public:
static int F( const gsl_vector * x, void * p, gsl_vector * f ) {
// p is a pointer to an iterator of functions
- unsigned int n = f->size;
+ unsigned int n = (unsigned)f->size;
// need to copy iterator otherwise next time the function is called it wont work
FuncVector & funcVec = *( reinterpret_cast< FuncVector *> (p) );
if (n == 0) return -1;
@@ -79,8 +79,8 @@ public:
static int Df( const gsl_vector * x, void * p, gsl_matrix * h) {
// p is a pointer to an iterator of functions
- unsigned int n = h->size1;
- unsigned int npar = h->size2;
+ unsigned int n = (unsigned)h->size1;
+ unsigned int npar = (unsigned)h->size2;
if (n == 0) return -1;
if (npar == 0) return -2;
FuncVector & funcVec = *( reinterpret_cast< FuncVector *> (p) );
@@ -96,8 +96,8 @@ public:
static int FDf( const gsl_vector * x, void * p, gsl_vector * f, gsl_matrix * h) {
// should be implemented in the function
// p is a pointer to an iterator of functions
- unsigned int n = h->size1;
- unsigned int npar = h->size2;
+ unsigned int n = (unsigned)h->size1;
+ unsigned int npar = (unsigned)h->size2;
if (n == 0) return -1;
if (npar == 0) return -2;
FuncVector & funcVec = *( reinterpret_cast< FuncVector *> (p) );
@@ -223,7 +223,7 @@ public:
int Set(const std::vector<Func> & funcVec, const double * x) {
// create a vector of the fit contributions
// create function wrapper from an iterator of functions
- unsigned int npts = funcVec.size();
+ unsigned int npts = (unsigned)funcVec.size();
if (npts == 0) return -1;
unsigned int npar = funcVec[0].NDim();
@@ -268,7 +268,7 @@ public:
const double * CovarMatrix() const {
if (fSolver == 0) return 0;
if (fCov != 0) gsl_matrix_free(fCov);
- unsigned int npar = fSolver->fdf->p;
+ unsigned int npar = (unsigned)fSolver->fdf->p;
fCov = gsl_matrix_alloc( npar, npar );
static double kEpsrel = 0.0001;
int ret = gsl_multifit_covar(fSolver->J, kEpsrel, fCov);
diff --git a/App/inc/ROOTMinimizerFunction.h b/App/inc/ROOTMinimizerFunction.h
index 6e242c2ced6d29819145ffcb8bbd406d874a663c..c9803273ba012fcfb3474c734be6be26ca17f90f 100644
--- a/App/inc/ROOTMinimizerFunction.h
+++ b/App/inc/ROOTMinimizerFunction.h
@@ -46,7 +46,7 @@ public:
typedef ROOT::Math::BasicFitMethodFunction<ROOT::Math::IMultiGenFunction>::Type_t Type_t;
ROOTMinimizerElementFunction(IMinimizer::function_gradient_t fun_gradient, size_t npars, size_t ndatasize)
- : ROOT::Math::FitMethodFunction(npars, ndatasize)
+ : ROOT::Math::FitMethodFunction((int)npars, (int)ndatasize)
, m_fun_gradient(fun_gradient) { }
virtual ~ROOTMinimizerElementFunction(){}
@@ -67,7 +67,7 @@ private:
//std::cout << "ROOTMinimizerFuncion::DoEval() -> 1.1 ndim:" <<NDim() <<" npoint:" << NPoints() << std::endl;
double chi2 = 0.0;
for(size_t i_data=0; i_data<NPoints(); ++i_data) {
- double res = DataElement(pars, i_data);
+ double res = DataElement(pars, (unsigned)i_data);
chi2 += res*res;
}
//std::cout << "ROOTMinimizerFuncion::DoEval() -> 1.2 chi:" <<chi2 << " ndim:" << NDim() << " np:" << NPoints() << std::endl;
diff --git a/App/src/FitSuiteHelper.cpp b/App/src/FitSuiteHelper.cpp
index efb64cd7cef1067c693d624180d22f2194074c35..2d5ab1352b3e3cec7dfb3cabde73d2bf04b45c75 100644
--- a/App/src/FitSuiteHelper.cpp
+++ b/App/src/FitSuiteHelper.cpp
@@ -253,8 +253,8 @@ void FitSuiteObserverWriteTree::update(IObservable *subject)
event->parnames.push_back( (*it)->getName().c_str() );
event->parfixed.push_back( (*it)->isFixed() );
}
- event->niter = fitSuite->getNCall();
- event->nstrategy = fitSuite->getNStrategy();
+ event->niter = (int)fitSuite->getNCall();
+ event->nstrategy = (int)fitSuite->getNStrategy();
// appending data to the tree
tree->Fill();
diff --git a/App/src/ROOTGSLNLSMinimizer.cpp b/App/src/ROOTGSLNLSMinimizer.cpp
index fef6535fa7ee5c94375de2263936f43fc09ddc9d..80dc7480a622fd913f146e332e7d562f9ae98b53 100644
--- a/App/src/ROOTGSLNLSMinimizer.cpp
+++ b/App/src/ROOTGSLNLSMinimizer.cpp
@@ -255,7 +255,7 @@ bool GSLNLSMinimizer::Minimize() {
return false;
}
- unsigned int npar = fValues.size();
+ unsigned int npar = (unsigned)fValues.size();
if (npar == 0 || npar < fDim) {
MATH_ERROR_MSGVAL("GSLNLSMinimizer::Minimize","Wrong number of parameters",npar);
return false;
@@ -313,7 +313,7 @@ bool GSLNLSMinimizer::Minimize() {
std::cout << "----------> Iteration " << iter << " / " << MaxIterations() << " status " << gsl_strerror(status) << std::endl;
const double * x = fGSLMultiFit->X();
if (trFunc.get()) x = trFunc->Transformation(x);
- int pr = std::cout.precision(18);
+ int pr = (int)std::cout.precision(18);
std::cout << " FVAL = " << (*fObjFunc)(x) << std::endl;
std::cout.precision(pr);
std::cout << " X Values : ";
@@ -395,7 +395,7 @@ bool GSLNLSMinimizer::Minimize() {
if (debugLevel >=1 ) {
std::cout << "GSLNLSMinimizer: Minimum Found" << std::endl;
- int pr = std::cout.precision(18);
+ int pr = (int)std::cout.precision(18);
std::cout << "FVAL = " << fMinVal << std::endl;
std::cout << "Edm = " << fEdm << std::endl;
std::cout.precision(pr);
diff --git a/App/src/ROOTMinimizer.cpp b/App/src/ROOTMinimizer.cpp
index 7d578c2859d0de40317fb1ac3fb8bb5bd434a578..c8d284e3ba4c74e8a40ea35a3c2dfe3e1ae3ab2e 100644
--- a/App/src/ROOTMinimizer.cpp
+++ b/App/src/ROOTMinimizer.cpp
@@ -118,15 +118,15 @@ void ROOTMinimizer::setParameter(size_t index, const FitParameter *par)
{
bool success;
if( par->isFixed() ) {
- success=m_root_minimizer->SetFixedVariable(index, par->getName().c_str(), par->getValue());
+ success=m_root_minimizer->SetFixedVariable((int)index, par->getName().c_str(), par->getValue());
}else if(par->hasLowerAndUpperLimits() ) {
- success=m_root_minimizer->SetLimitedVariable(index, par->getName().c_str(), par->getValue(), par->getStep(), par->getLowerLimit(), par->getUpperLimit());
+ success=m_root_minimizer->SetLimitedVariable((int)index, par->getName().c_str(), par->getValue(), par->getStep(), par->getLowerLimit(), par->getUpperLimit());
} else if(par->hasLowerLimit() && !par->hasUpperLimit() ) {
- success=m_root_minimizer->SetLowerLimitedVariable(index, par->getName().c_str(), par->getValue(), par->getStep(), par->getLowerLimit());
+ success=m_root_minimizer->SetLowerLimitedVariable((int)index, par->getName().c_str(), par->getValue(), par->getStep(), par->getLowerLimit());
} else if( par->hasUpperLimit() && !par->hasLowerLimit() ) {
- success=m_root_minimizer->SetUpperLimitedVariable(index, par->getName().c_str(), par->getValue(), par->getStep(), par->getUpperLimit());
+ success=m_root_minimizer->SetUpperLimitedVariable((int)index, par->getName().c_str(), par->getValue(), par->getStep(), par->getUpperLimit());
} else if( !par->hasUpperLimit() && !par->hasLowerLimit() && !par->isFixed() ) {
- success=m_root_minimizer->SetVariable(index, par->getName().c_str(), par->getValue(), par->getStep());
+ success=m_root_minimizer->SetVariable((int)index, par->getName().c_str(), par->getValue(), par->getStep());
} else {
throw LogicErrorException("ROOTMinimizer::setVariable() -> Strange place... I wish I knew how I got here.");
}
@@ -161,7 +161,7 @@ void ROOTMinimizer::setFunction(function_chi2_t fun_chi2, size_t nparameters, fu
} else {
std::cout << " ROOTMinimizer::setFunction() -> XXX 1.2 making ROOTMinimizerFunction" << std::endl;
delete m_minfunc;
- m_minfunc = new ROOTMinimizerFunction(fun_chi2, nparameters);
+ m_minfunc = new ROOTMinimizerFunction(fun_chi2, (int)nparameters);
m_root_minimizer->SetFunction(*m_minfunc);
}
}
diff --git a/App/src/StandardSamples.cpp b/App/src/StandardSamples.cpp
index a0b7b861c1358e9082b3bf674394c6163d0bba4d..4926f430bc6590f2787898020e37c15c33b47dff 100644
--- a/App/src/StandardSamples.cpp
+++ b/App/src/StandardSamples.cpp
@@ -821,10 +821,16 @@ ISample *StandardSamples::IsGISAXS15_SSCA()
ParticleBuilder particle_builder;
particle_builder.setPrototype(particle_prototype, "/Particle/FormFactorCylinder/radius", stochastic_radius);
particle_builder.plantParticles(particle_decoration);
+
+ // Set height of each particle to its radius (H/R fixed)
+ ParameterPool *p_parameters = particle_decoration.createParameterTree();
+ int nbr_replacements = p_parameters->fixRatioBetweenParameters("height", "radius", 1.0);
+ std::cout << "Number of replacements: " << nbr_replacements << std::endl;
+// std::cout << *p_parameters << std::endl;
+
particle_decoration.addInterferenceFunction(p_interference_function);
LayerDecorator air_layer_decorator(air_layer, particle_decoration);
p_multi_layer->addLayer(air_layer_decorator);
-
return p_multi_layer;
}
diff --git a/App/src/TestFormFactors.cpp b/App/src/TestFormFactors.cpp
index ad29da101b9a070f3891c8ce85dbc3fc424b1ebb..cb1a5f8fe01be5980ef090e708fd4b1023cdd25f 100644
--- a/App/src/TestFormFactors.cpp
+++ b/App/src/TestFormFactors.cpp
@@ -122,18 +122,18 @@ void TestFormFactors::finalise()
- int ncomparison = this_files.size();
+ size_t ncomparison = this_files.size();
//canvaces[0] = DrawHelper::instance().createAndRegisterCanvas("Form Factors", "TestFormFactors");
TCanvas *c1 = DrawHelper::instance().createAndRegisterCanvas("Form Factors", "TestFormFactors");
c1->Divide(4,5);
- for(int i=0; i<ncomparison; i++) {
+ for(size_t i=0; i<ncomparison; i++) {
OutputData<double> *our_data = IsGISAXSTools::readOutputDataFromFile(this_files[i], 10);
IsGISAXSTools::setMinimum(1.);
// our calculations
- c1->cd(i+1); gPad->SetLogz();
+ c1->cd((int)i+1); gPad->SetLogz();
IsGISAXSTools::drawOutputDataInPad(*our_data, "CONT4 Z", "Our pyramid FF");
IsGISAXSTools::resetMinimum(); IsGISAXSTools::resetMaximum();
diff --git a/Core/Algorithms/src/SizeSpacingCorrelationApproximationStrategy.cpp b/Core/Algorithms/src/SizeSpacingCorrelationApproximationStrategy.cpp
index ba6fc92a248a2bafc34a2b5e88b5374e90b4998e..27d29d4e117d6023379f177bad47eb2c92f19a33 100644
--- a/Core/Algorithms/src/SizeSpacingCorrelationApproximationStrategy.cpp
+++ b/Core/Algorithms/src/SizeSpacingCorrelationApproximationStrategy.cpp
@@ -34,8 +34,8 @@ double SizeSpacingCorrelationApproximationStrategy::evaluate(const cvector_t& k_
complex_t mcffc = getMeanConjCharacteristicFF(k_i, k_f_bin, alpha_i, alpha_f);
complex_t p2kappa = getCharacteristicSizeCoupling(qp, 2.0*m_kappa);
complex_t omega = getCharacteristicDistribution(qp);
- double interference_intensity = 2.0*( mcff*mcffc*omega/(p2kappa*(1.0 - omega)) ).real();
- return diffuse_intensity + interference_intensity;
+ double interference_intensity = 2.0*( mcff*mcffc*omega/((1.0 - p2kappa*omega)) ).real();
+ return /*diffuse_intensity +*/ interference_intensity;
}
bool SizeSpacingCorrelationApproximationStrategy::checkVectorSizes() const
@@ -80,7 +80,7 @@ complex_t SizeSpacingCorrelationApproximationStrategy::getCharacteristicDistribu
if (p_iff==0) {
throw ClassInitializationException("Wrong interference function for SSCA");
}
- return getCharacteristicSizeCoupling(qp, m_kappa*2.0)*p_iff->FTGaussianCorrLength(qp);
+ return p_iff->FTGaussianCorrLength(qp);
}
complex_t SizeSpacingCorrelationApproximationStrategy::getCharacteristicSizeCoupling(
diff --git a/Core/FormFactors/inc/FormFactorCylinder.h b/Core/FormFactors/inc/FormFactorCylinder.h
index 752661d2543c01d36d6fd2d7cb32fb203fa034e6..067f2455c6b89e8a448a4515cba95aa56393cb4a 100644
--- a/Core/FormFactors/inc/FormFactorCylinder.h
+++ b/Core/FormFactors/inc/FormFactorCylinder.h
@@ -29,6 +29,8 @@ public:
virtual double getHeight() const { return m_height; }
+ virtual double getRadius() const { return m_radius; }
+
virtual complex_t evaluate_for_q(const cvector_t &q) const;
protected:
diff --git a/Core/FormFactors/inc/IFormFactor.h b/Core/FormFactors/inc/IFormFactor.h
index 276e37d3619a18b35ac994ed0622def38e3a7626..123bcf077f8b2ce23ca8b2444e9038779f2f324d 100644
--- a/Core/FormFactors/inc/IFormFactor.h
+++ b/Core/FormFactors/inc/IFormFactor.h
@@ -93,7 +93,7 @@ inline double IFormFactor::getHeight() const
inline double IFormFactor::getRadius() const
{
- double result = std::sqrt(getVolume()/getHeight());
+ double result = std::sqrt(getVolume()/getHeight()/M_PI);
return result;
}
diff --git a/Core/Samples/src/ParticleDecoration.cpp b/Core/Samples/src/ParticleDecoration.cpp
index 9736e85a4aaf47d8bbfbdacf4ba5caadc1740d7e..4cd82128b2575c2c41c63df3d6c8a630b5fdb266 100644
--- a/Core/Samples/src/ParticleDecoration.cpp
+++ b/Core/Samples/src/ParticleDecoration.cpp
@@ -141,7 +141,7 @@ IInterferenceFunctionStrategy* ParticleDecoration::createStrategy(
if (n_ifs==1) {
InterferenceFunction1DParaCrystal *p_iff = dynamic_cast<InterferenceFunction1DParaCrystal *>(
m_interference_functions[0]);
- if (p_iff == 0) {
+ if (p_iff == 0 || p_iff->getKappa() == 0.0) {
p_strategy = new DecouplingApproximationStrategy();
}
else {
diff --git a/Core/Tools/inc/IMinimizer.h b/Core/Tools/inc/IMinimizer.h
index 885a8ff8d810c14fd16cb2a25d41f0b1032e2f5a..8109d98fcf9de4241ff3ab0a4750f37b879e7afc 100644
--- a/Core/Tools/inc/IMinimizer.h
+++ b/Core/Tools/inc/IMinimizer.h
@@ -80,7 +80,7 @@ public:
virtual ~TestMinimizer(){}
//! set variable
- virtual void setParameter(size_t index, const FitParameter *par) { m_values[index] = par->getValue(); }
+ virtual void setParameter(size_t index, const FitParameter *par) { m_values[(int)index] = par->getValue(); }
virtual void setParameters(const FitSuiteParameters &/*parameters */) { throw NotImplementedException("TestMinimizer::setParameters() -> Error! Not implemented."); }
//! set function to minimize
diff --git a/Core/Tools/inc/ParameterPool.h b/Core/Tools/inc/ParameterPool.h
index 7c04f9eabc2a8cc7c258d65f47b854161075e2b1..cf8c2e279bd5bba5234566cdd5ec74a0067b800b 100644
--- a/Core/Tools/inc/ParameterPool.h
+++ b/Core/Tools/inc/ParameterPool.h
@@ -67,6 +67,11 @@ public:
//! set parameter value, return number of changed parameters
int setMatchedParametersValue(const std::string &wildcards, double value);
+ //! link first parameter to second parameter times a scale factor and return number of changed parameters
+ //! note that the parameters to be linked should match:
+ //! prefix/to_change --> prefix/source
+ int fixRatioBetweenParameters(const std::string &to_change, const std::string &source, double ratio);
+
//! print parameter pool
friend std::ostream &operator<<(std::ostream &ostr, const ParameterPool &obj) { obj.print(ostr); return ostr; }
diff --git a/Core/Tools/inc/StochasticGaussian.h b/Core/Tools/inc/StochasticGaussian.h
index f0ee85609411efdbfc63e459b21baf0f2f4f18ae..474c49d6de1e6da9d53e3011c29ceda1e4dfe6b1 100644
--- a/Core/Tools/inc/StochasticGaussian.h
+++ b/Core/Tools/inc/StochasticGaussian.h
@@ -29,7 +29,7 @@ public:
double getStdDev() const { return m_std_dev; }
- virtual double getFWHM() const { return 2.*m_std_dev*std::sqrt(2.*std::log(2)); }
+ virtual double getFWHM() const { return 2.*m_std_dev*std::sqrt(2.*std::log(2.)); }
private:
double m_std_dev;
diff --git a/Core/Tools/src/FitSuiteFunctions.cpp b/Core/Tools/src/FitSuiteFunctions.cpp
index 087d652b324cf0c0935d073c4f2a14e27d799433..4bf5b6c946db18a89cf2ed1cfd92a6057578f89c 100644
--- a/Core/Tools/src/FitSuiteFunctions.cpp
+++ b/Core/Tools/src/FitSuiteFunctions.cpp
@@ -17,7 +17,7 @@ double FitSuiteChiSquaredFunction::evaluate(const double *pars)
m_fit_suite->getFitObjects()->runSimulation();
// caclulate chi2 value
- int n_free_pars = m_fit_suite->getFitParameters()->getNfreeParameters();
+ int n_free_pars = (int)m_fit_suite->getFitParameters()->getNfreeParameters();
double chi_squared = m_fit_suite->getFitObjects()->getChiSquaredValue(n_free_pars);
m_fit_suite->notifyObservers();
@@ -104,7 +104,7 @@ void FitSuiteGradientFunction::calculate_residuals(const double *pars)
//std::cout << " FitSuiteGradientFunction::calculate_residuals() -> Info. " << std::endl;
runSimulation(pars);
for(size_t i_data=0; i_data<m_ndatasize; ++i_data) {
- m_residuals[i_data] = m_fit_suite->getFitObjects()->getResidualValue(i_data);
+ m_residuals[(int)i_data] = m_fit_suite->getFitObjects()->getResidualValue((int)i_data);
//std::cout << i_data << " " << m_residuals[i_data] << std::endl;
}
@@ -127,7 +127,7 @@ void FitSuiteGradientFunction::calculate_gradients(const double *pars)
std::vector<double> residuals2;
residuals2.resize(m_ndatasize);
for(size_t i_data=0; i_data<m_ndatasize; ++i_data) {
- residuals2[i_data] = m_fit_suite->getFitObjects()->getResidualValue(i_data);
+ residuals2[i_data] = m_fit_suite->getFitObjects()->getResidualValue((int)i_data);
}
for(size_t i_data=0; i_data <m_ndatasize; ++i_data) {
@@ -147,7 +147,7 @@ void FitSuiteGradientFunction::runSimulation(const double *pars){
//std::cout << "XXX simulation " << pars[0] << " " << pars[1] << " " << pars[2] << std::endl;
m_fit_suite->getFitParameters()->setValues(pars);
m_fit_suite->getFitObjects()->runSimulation();
- int n_free_pars = m_fit_suite->getFitParameters()->getNfreeParameters();
+ int n_free_pars = (int)m_fit_suite->getFitParameters()->getNfreeParameters();
m_fit_suite->getFitObjects()->getChiSquaredValue(n_free_pars);
}
diff --git a/Core/Tools/src/ParameterPool.cpp b/Core/Tools/src/ParameterPool.cpp
index 704ff2fa1e80a6945f61ecb6edf7029a36755c3d..760a782e0830939c42d20062db76bb03405dc9e5 100644
--- a/Core/Tools/src/ParameterPool.cpp
+++ b/Core/Tools/src/ParameterPool.cpp
@@ -1,6 +1,8 @@
#include "ParameterPool.h"
#include "Exceptions.h"
#include "Utils.h"
+
+#include <boost/algorithm/string/replace.hpp>
#include <iostream>
#include <sstream>
@@ -160,6 +162,25 @@ int ParameterPool::setMatchedParametersValue(const std::string &wildcards, doubl
return npars;
}
+int ParameterPool::fixRatioBetweenParameters(const std::string& to_change,
+ const std::string& source, double ratio)
+{
+ int npars(0);
+ std::string wildcard = (to_change[0] == '*' ? to_change : "*" + to_change);
+ for(parametermap_t::iterator it=m_map.begin(); it!= m_map.end(); ++it) {
+ if( Utils::StringMatchText::WildcardPattern( (*it).first, wildcard ) ) {
+ std::string parametername = it->first;
+ boost::algorithm::replace_last(parametername, to_change, source);
+ try {
+ parameter_t source = getParameter(parametername);
+ (*it).second.setValue(source.getValue()*ratio);
+ npars++;
+ } catch (Exceptions::LogicErrorException &e) {}
+ }
+ }
+ return npars;
+}
+
/* ************************************************************************* */
// print content on the screen
/* ************************************************************************* */
@@ -172,13 +193,13 @@ void ParameterPool::print(std::ostream &ostr) const
ostr << "POOL_" << m_map.size();
ostr << "(";
for(parametermap_t::const_iterator it=m_map.begin(); it!= m_map.end(); ++it) {
- std::cout << "'" << (*it).first << "'" << ":" << it->second.getValue() << " " ;
+ ostr << "'" << (*it).first << "'" << ":" << it->second.getValue() << " " ;
}
ostr << ")";
// printing in several lines
} else {
for(parametermap_t::const_iterator it=m_map.begin(); it!= m_map.end(); ++it) {
- std::cout << "'" << (*it).first << "'" << ":" << it->second.getValue() << std::endl;
+ ostr << "'" << (*it).first << "'" << ":" << it->second.getValue() << std::endl;
}
}
}
diff --git a/Examples/IsGISAXS_examples/ex-15/isgi_SSCA.ima b/Examples/IsGISAXS_examples/ex-15/isgi_SSCA.ima
old mode 100755
new mode 100644
index 03f512c10b8ec97f0d675d789f664499c44c670f..0da925b72e9f1317dc8e0234707242971e07ba6e
--- a/Examples/IsGISAXS_examples/ex-15/isgi_SSCA.ima
+++ b/Examples/IsGISAXS_examples/ex-15/isgi_SSCA.ima
@@ -1,150 +1,150 @@
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diff --git a/Examples/IsGISAXS_examples/ex-15/this_SSCA.ima b/Examples/IsGISAXS_examples/ex-15/this_SSCA.ima
index c43c09d254e4f13f3c82e85bde837cec5c31d888..fd13de1decda6641d4f7c3859e49af9c023feaca 100644
--- a/Examples/IsGISAXS_examples/ex-15/this_SSCA.ima
+++ b/Examples/IsGISAXS_examples/ex-15/this_SSCA.ima
@@ -1,150 +1,150 @@
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diff --git a/Tests/UnitTests/TestCore/TestCore b/Tests/UnitTests/TestCore/TestCore
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