Source code for specutils.fitting.continuum

from astropy.modeling.polynomial import Chebyshev1D
from astropy.modeling.fitting import LevMarLSQFitter

from ..fitting import fit_lines
from ..manipulation.smoothing import median_smooth


__all__ = ['fit_continuum', 'fit_generic_continuum']


[docs]def fit_generic_continuum(spectrum, median_window=3, model=Chebyshev1D(3), fitter=LevMarLSQFitter(), exclude_regions=None, weights=None): """ Basic fitting of the continuum of an input spectrum. The input spectrum is smoothed using a median filter to remove the spikes. Parameters ---------- spectrum : Spectrum1D The spectrum object overwhich the equivalent width will be calculated. model : list of `~astropy.modeling.Model` The list of models that contain the initial guess. exclude_regions : list of 2-tuples List of regions to exclude in the fitting. Passed through to the fitmodels routine. weights : list (NOT IMPLEMENTED YET) List of weights to define importance of fitting regions. Returns ------- continuum_model Fitted continuum as a model of whatever class ``model`` provides. Notes ----- * Could add functionality to set the bounds in ``model`` if they are not set. * The models in the list of ``model`` are added together and passed as a compound model to the `~astropy.modeling.fitting.Fitter` class instance. """ # # Simple median smooth to remove spikes and peaks # spectrum_smoothed = median_smooth(spectrum, median_window) # # Return the fitted continuum # return fit_continuum(spectrum_smoothed, model, fitter, exclude_regions, weights)
[docs]def fit_continuum(spectrum, model=Chebyshev1D(3), fitter=LevMarLSQFitter(), exclude_regions=None, window=None, weights=None): """ Entry point for fitting using the `~astropy.modeling.fitting` machinery. Parameters ---------- spectrum : Spectrum1D The spectrum object overwhich the equivalent width will be calculated. model: list of `~astropy.modeling.Model` The list of models that contain the initial guess. fitmodels_type: str String representation of fit method to use as defined by the dict fitmodels_types. window : tuple of wavelengths (NOT IMPLEMENTED YET) Start and end wavelengths used for fitting. weights : list (NOT IMPLEMENTED YET) List of weights to define importance of fitting regions. Returns ------- models : list of `~astropy.modeling.Model` The list of models that contain the fitted model parmeters. """ if window is not None or weights is not None: raise NotImplementedError('window and weights are not yet implemented') # # Fit the flux to the model. # continuum_spectrum = fit_lines(spectrum, model, fitter, exclude_regions, weights) return continuum_spectrum