Fit a model to one or more background PHA data sets.
fit_bkg(id=None, *otherids, **kwargs) id - int or str, optional *otherids - sequence of int or str, optional outfile - str, optional clobber - bool, optional
Fit only the backgound components of PHA data sets. This can be used to find the best-fit background parameters, which can then be frozen before fitting the data, or to ensure that these parameters are well defined before performing a simultaneous source and background fit.
Simultaneously fit all background data sets with models and then store the results in the variable fres:
>>> fit_bkg() >>> fres = get_fit_results()
Fit the background for data sets 1 and 2, then do a simultaneous fit to the source and background data sets:
>>> fit_bkg(1,2) >>> fit(1,2)
The parameters for this function are:
|id||The data set that provides the background data. If not given then all data sets with an associated background model are fit simultaneously.|
|*otherids||Other data sets to use in the calculation.|
|outfile||If set, then the fit results will be written to a file with this name. The file contains the per-iteration fit results.|
|clobber||This flag controls whether an existing file can be overwritten ( True ) or if it raises an exception ( False , the default setting).|
This is only for PHA data sets where the background is being modelled, rather than subtracted from the data.
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.