fit_model
- petrofit.modeling.fit_model(image, model, weights=None, fitter=<class 'astropy.modeling.fitting.TRFLSQFitter'>, maxiter=5000, calc_uncertainties=False, epsilon=1.4901161193847656e-08, acc=1e-07, estimate_jacobian=False)[source]
Wrapper function to conveniently fit an image to an input model.
- Parameters:
- imagearray
2D array to fit.
- model
FittableModel Astropy model to sample from. The model must be 2D and the inputs are (x, y) pixel coordinates.
- weightsarray
Weights for fitting. For data with Gaussian uncertainties, the weights should be 1/sigma.
- fitterAstropy Fitter Class
Astropy fitter class (TRFLSQFitter, LevMarLSQFitter, or LinearLSQFitter)
- maxiterint
maximum number of iterations
- calc_uncertaintiesbool
If the covarience matrix should be computed and set in the fit_info. Default: False
- epsilonfloat
A suitable step length for the forward-difference approximation of the Jacobian (if model.fjac=None). If epsfcn is less than the machine precision, it is assumed that the relative errors in the functions are of the order of the machine precision.
- accfloat
Relative error desired in the approximate solution
- estimate_jacobianbool
If False (default) and if the model has a fit_deriv method, it will be used. Otherwise the Jacobian will be estimated. If True, the Jacobian will be estimated in any case.
- Returns:
- fitted_model, fitter
- fitted_model
FittableModel A copy of the input model with parameters set by the fitter.
- fitted_model
- fitterLevMarLSQFitter
Fitter used to estimate and set model parameters.