save_source
- sherpa.astro.ui.save_source(id, filename=None, bkg_id: IdType | None = None, ascii=False, clobber=False) None
Save the model values to a file.
The model is evaluated on the grid of the data set, but does not include any instrument response (such as a PSF or ARF and RMF).
- Parameters:
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, str, or None, 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 isFalse
. The exact format of the output file depends on the I/O library in use (Crates or AstroPy).clobber (bool, optional) – If
outfile
is notNone
, then this flag controls whether an existing file can be overwritten (True
) or if it raises an exception (False
, the default setting).
- Raises:
sherpa.utils.err.IdentifierErr – If no model has been set for this data set.
sherpa.utils.err.IOErr – If
filename
already exists andclobber
isFalse
.
See also
save_data
Save the data to a file.
save_model
Save the model values to a file.
set_model
Set the source model expression for a data set.
set_full_model
Define the convolved model expression for a data set.
Notes
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 theid
andfilename
parameters, respectively. The remaining parameters are expected to be given as named arguments.The output file contains the columns
X
andSOURCE
for 1D data sets. The residuals array respects any filter or (for PHA files), grouping settings.Examples
Write the model values for the default data set to the file “model.fits”:
>>> save_source('model.fits')
Write the model from the data set ‘jet’ to the ASCII file “model.dat”:
>>> save_source('jet', "model.dat", ascii=True)
For 2D (image) data sets, the model is written out as an image:
>>> save_source('img', 'model.img')