sherpa.astro.ui.save_model(id, filename=None, bkg_id=None, ascii=False, clobber=False)

Save the model values to a file.

The model is evaluated on the grid of the data set, including any instrument response (such as a PSF or ARF and RMF).

  • id (int or str, optional) – The identifier for the data set to use. If not given then the default identifier is used, as returned by get_default_id.

  • filename (str) – The name of the file to write the array to. The format is determined by the ascii argument.

  • bkg_id (int or str, optional) – Set if the background model should be written out rather than the source.

  • ascii (bool, optional) – If False then the data is written as a FITS format binary table. The default is False. The exact format of the output file depends on the I/O library in use (Crates or AstroPy).

  • clobber (bool, optional) – If outfile is not None, then this flag controls whether an existing file can be overwritten (True) or if it raises an exception (False, the default setting).


See also


Save the data to a file.


Save the model values to a file.


Set the source model expression for a data set.


Define the convolved model expression for a data set.


The function does not follow the normal Python standards for parameter use, since it is designed for easy interactive use. When called with a single un-named argument, it is taken to be the filename parameter. If given two un-named arguments, then they are interpreted as the id and filename parameters, respectively. The remaining parameters are expected to be given as named arguments.

The output file contains the columns X and MODEL for 1D data sets. The residuals array respects any filter or (for PHA files), grouping settings.


Write the model values for the default data set to the file “model.fits”:

>>> save_model('model.fits')

Write the model from the data set ‘jet’ to the ASCII file “model.dat”:

>>> save_model('jet', "model.dat", ascii=True)

For 2D (image) data sets, the model is written out as an image:

>>> save_model('img', 'model.img')