image_source_component¶

sherpa.astro.ui.image_source_component(id, model=None, newframe=False, tile=False)¶

Display a component of the source expression in the image viewer.

This function evaluates and displays a component of the model expression for a data set, without any instrument response. Use image_model_component to include any response.

The image viewer is automatically started if it is not already open.

Parameters:

id (int or str, optional) – The data set. If not given then the default identifier is used, as returned by get_default_id.
model (str or sherpa.models.model.Model instance) – The component to display (the name, if a string).
newframe (bool, optional) – Create a new frame for the data? If False, the default, then the data will be displayed in the current frame.
tile (bool, optional) – Should the frames be tiles? If False, the default, then only a single frame is displayed.

Raises:

sherpa.utils.err.IdentifierErr – If the data set does not exist or a source expression has not been set.

See also

get_source_component_image(): Return the data used by image_source_component.
image_close(): Close the image viewer.
image_fit(): Display the data, model, and residuals for a data set in the image viewer.
image_model(): Display the model for a data set in the image viewer.
image_model_component(): Display a component of the model in the image viewer.
image_open(): Open the image viewer.
image_source(): Display the source expression for a data set in the image viewer.

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 model parameter. If given two un-named arguments, then they are interpreted as the id and model parameters, respectively.

Image visualization is optional, and provided by the DS9 application [1].

References

[1]	http://ds9.si.edu/site/Home.html

Examples

Display the full source model and then just the ‘gsrc’ component for the default data set:

>>> image_source()
>>> image_source_component(gsrc)

Display the ‘clus’ and ‘bgnd’ components of the model for the ‘img’ data set side by side:

>>> image_source_component('img', 'clus')
>>> image_source_component('img', 'bgnd', newframe=True,
                           tile=True)