plot_bkg_chisqr¶
-
sherpa.astro.ui.
plot_bkg_chisqr
(id=None, bkg_id=None, **kwargs)¶ Plot the chi-squared value for each point of the background of a PHA data set.
Display the square of the residuals (data-model) divided by the error values for the background of a PHA data set when it is being fit, rather than subtracted from the source.
Parameters: - id (int or str, optional) – The data set that provides the data. If not given then the default identifier is used, as returned by get_default_id.
- bkg_id (int or str, optional) – Identify the background component to use, if there are multiple ones associated with the data set.
- replot (bool, optional) – Set to
True
to use the values calculated by the last call to plot_bkg_chisqr. The default isFalse
. - overplot (bool, optional) – If
True
then add the data to an exsiting plot, otherwise create a new plot. The default isFalse
.
Raises: sherpa.utils.err.ArgumentErr
– If the data set does not contain PHA data.sherpa.utils.err.IdentifierErr
– If thebkg_id
parameter is invalid.sherpa.utils.err.ModelErr
– If no model expression has been created for the background data.
See also
get_bkg_chisqr_plot()
- Return the data used by plot_bkg_chisqr.
plot_bkg_delchi()
- Plot the ratio of residuals to error for the background of a PHA data set.
plot_bkg_ratio()
- Plot the ratio of data to model values for the background of a PHA data set.
plot_bkg_resid()
- Plot the residual (data-model) values for the background of a PHA data set.
set_bkg_model()
- Set the background model expression for a PHA data set.
Examples
>>> plot_bkg_chisqr()
>>> plot_bkg_chisqr('jet', bkg_id=1) >>> plot_bkg_chisqr('jet', bkg_id=2, overplot=True)