| Func::TPar lmfit | ( | ltl::FVector< typename Func::TPar, Func::NPar > & | parameter, | |
| ltl::FVector< typename Func::TPar, Func::NPar > & | errors, | |||
| const MArray< typename Func::TPar, 1 > & | X, | |||
| const MArray< typename Func::TPar, 1 > & | Y, | |||
| const MArray< typename Func::TPar, 1 > & | Y_error2, | |||
| const ltl::FVector< bool, Func::NPar > & | ignore = ltl::FVector<bool,Func::NPar>(false) | |||
| ) | [inline] |
| void gauss1Dfit | ( | ltl::FVector< double, 4 > & | parameter, | |
| ltl::FVector< double, 4 > & | errors, | |||
| double & | chi2, | |||
| const MArray< double, 1 > & | X, | |||
| const MArray< double, 1 > & | Y, | |||
| const MArray< double, 1 > & | Y_error2 | |||
| ) |
Fit a 1-D gaussian using LTL LMFit.
Referenced by Measure::fit_psf1D().
| void gauss1D_H_fit | ( | ltl::FVector< double, 5 > & | parameter, | |
| ltl::FVector< double, 5 > & | errors, | |||
| double & | chi2, | |||
| const MArray< double, 1 > & | X, | |||
| const MArray< double, 1 > & | Y, | |||
| const MArray< double, 1 > & | Y_error2, | |||
| const ltl::FVector< bool, 5 > & | ignore, | |||
| const int | iter, | |||
| const double | tol | |||
| ) |
Referenced by Measure::fit_peaks3H_final().
| void gauss1D_2H_fit | ( | ltl::FVector< double, 7 > & | parameter, | |
| ltl::FVector< double, 7 > & | errors, | |||
| double & | chi2, | |||
| const MArray< double, 1 > & | X, | |||
| const MArray< double, 1 > & | Y, | |||
| const MArray< double, 1 > & | Y_error2, | |||
| const ltl::FVector< bool, 7 > & | ignore, | |||
| const int | iter, | |||
| const double | tol | |||
| ) |
Referenced by Measure::fit_peaks3H(), and Measure::fit_peaks3H_initial().
| void gauss1D_3H_fit | ( | ltl::FVector< double, 9 > & | parameter, | |
| ltl::FVector< double, 9 > & | errors, | |||
| double & | chi2, | |||
| const MArray< double, 1 > & | X, | |||
| const MArray< double, 1 > & | Y, | |||
| const MArray< double, 1 > & | Y_error2, | |||
| const ltl::FVector< bool, 9 > & | ignore, | |||
| const int | iter, | |||
| const double | tol | |||
| ) |
Referenced by Measure::fit_peaks3H(), and Measure::fit_peaks3H_initial().
| void gauss2Dfit | ( | ltl::FVector< double, 7 > & | parameter, | |
| ltl::FVector< double, 7 > & | errors, | |||
| double & | chi2, | |||
| MArray< float, 2 > & | A, | |||
| MArray< float, 2 > & | A_error, | |||
| const ltl::FVector< bool, 7 > & | ignore, | |||
| const int | iter | |||
| ) |
2-D bivariate gaussian for fitting arc lamp lines in the calibration images
| parameter | ltl::FVector of 7 elements: constant, amplitude, sigma_x, sigma_y, relative rotation angle, x_peak, y_peak; needs to be initialised with an initial guess | |
| errors | ltl::FVector of 7 elements: errors on the seven parameters | |
| chi2 | double chi^2 of the fit | |
| A | ltl::MArray(): 2D array to fit | |
| A_error | ltl::MArray(): 2D array with the errors of A | |
| ignore | ltl::FVector of 7 elements if true don't vary the corresponding parameter | |
| iter | int maximum number of iterations |
Referenced by Measure::fit_gauss2D(), and VirusHealth::validate_peaks().
1.6.1