fit_background
- petrofit.modeling.fit_background(image, model=<Planar2D(slope_x=1., slope_y=1., intercept=0.)>, sigma=3.0, fitter=<class 'astropy.modeling.fitting.LinearLSQFitter'>, calc_uncertainties=False)[source]
Fit sigma clipped background image using a user provided model.
- Parameters:
- imagearray
2D array to fit.
- model
FittableModel AstroPy model to sample from.
Planar2Dis used by default.- sigmafloat or None
The sigma value used to determine noise pixels. Once the pixels above this value are masked, the model provided is fit to determine the background.
- fitterAstropy Fitter Class
Astropy fitter class (TRFLSQFitter, LevMarLSQFitter, or LinearLSQFitter)
- calc_uncertaintiesbool
If the covarience matrix should be computed and set in the fit_info. Default: False
- 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.