1
0
mirror of https://github.com/aportelli/LatAnalyze.git synced 2024-11-10 00:45:36 +00:00
LatAnalyze/examples/exFit.cpp

51 lines
1.4 KiB
C++

#include <iostream>
#include <cmath>
#include <LatAnalyze/CompiledModel.hpp>
#include <LatAnalyze/MinuitMinimizer.hpp>
#include <LatAnalyze/RandGen.hpp>
#include <LatAnalyze/XYStatData.hpp>
using namespace std;
using namespace Latan;
const Index nPoint = 30;
const double xErr = .01, yErr = .1;
const double exactPar[2] = {0.5,5.0}, dx = 10.0/static_cast<double>(nPoint);
int main(void)
{
// generate fake data
XYStatData data;
RandGen rg;
double x_k, y_k;
DoubleModel f([](const double *x, const double *p)
{return p[1]*exp(-x[0]*p[0]);}, 1, 2);
data.addXDim("x", nPoint);
data.addYDim("y");
for (Index k = 0; k < nPoint; ++k)
{
x_k = k*dx + rg.gaussian(0.0, xErr);
y_k = f(&x_k, exactPar) + rg.gaussian(0.0, yErr);
printf("% 8e % 8e % 8e % 8e\n", x_k, xErr, y_k, yErr);
data.x(k) = x_k;
data.y(k) = y_k;
}
cout << endl;
data.setXError(0, DVec::Constant(nPoint, xErr));
data.setYError(0, DVec::Constant(nPoint, yErr));
cout << data << endl;
// fit
DVec init = DVec::Constant(2, 0.5);
FitResult p;
MinuitMinimizer minimizer;
p = data.fit(minimizer, init, f);
cout << "a= " << p(0) << " b= " << p(1);
cout << " chi^2/ndof= " << p.getChi2PerDof();
cout << " p-value= " << p.getPValue() <<endl;
return EXIT_SUCCESS;
}