1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
|
// ************************************************************************************************
//
// BornAgain: simulate and fit reflection and scattering
//
//! @file Tests/Functional/Fitting/SimfitTestPlan.cpp
//! @brief Defines class SimfitTestPlan.
//!
//! @homepage http://www.bornagainproject.org
//! @license GNU General Public License v3 or higher (see COPYING)
//! @copyright Forschungszentrum Jülich GmbH 2018
//! @authors Scientific Computing Group at MLZ (see CITATION, AUTHORS)
//
// ************************************************************************************************
#include "Tests/Functional/Fitting/SimfitTestPlan.h"
#include "Device/Data/Datafield.h"
#include "Fit/Kernel/Minimizer.h"
#include "Sample/Multilayer/Sample.h"
#include "Sim/Fitting/FitObjective.h"
#include "Sim/Fitting/SimDataPair.h"
#include "Sim/Simulation/ISimulation.h"
#include <utility>
SimfitTestPlan::SimfitTestPlan(const simulation_builder_t& sim_builder, bool residual_based,
const std::vector<ParameterReference>& parameter_references)
: MinimizerTestPlan(parameter_references)
, m_sim_builder(sim_builder)
, m_residual_based(residual_based)
{
}
SimfitTestPlan::~SimfitTestPlan() = default;
bool SimfitTestPlan::checkMinimizer(mumufit::Minimizer& minimizer) const
{
std::unique_ptr<FitObjective> fit_objective = createFitObjective();
mumufit::MinimizerResult result;
if (m_residual_based)
result = minimizer.minimize(
[&](const mumufit::Parameters& params) {
return fit_objective->evaluate_residuals(params);
},
parameters());
else
result = minimizer.minimize(
[&](const mumufit::Parameters& params) { return fit_objective->evaluate(params); },
parameters());
fit_objective->finalize(result);
return valuesAsExpected(result.parameters().values());
}
std::unique_ptr<FitObjective> SimfitTestPlan::createFitObjective() const
{
std::unique_ptr<FitObjective> result(new FitObjective);
result->addFitPair(m_sim_builder, *fakeData(), 1.0);
result->initPrint(1);
return result;
}
//! Creates "experimental" data for fitting.
std::unique_ptr<Datafield> SimfitTestPlan::fakeData() const
{
// use expected values of fit parameters to construct simulation
auto params = parameters();
params.setValues(expectedValues());
auto simulation = m_sim_builder(params);
auto result = simulation->simulate();
return std::make_unique<Datafield>(result);
}
|
