load_rmf(id, arg=None, resp_id=None, bkg_id=None)¶
Load a RMF from a file and add it to a PHA data set.
Load in the redistribution matrix function for a PHA data set, or its background. The load_bkg_rmf function can be used for setting most background RMFs.
- id (int or str, optional) – The data set to use. If not given then the default identifier is used, as returned by get_default_id.
- arg – Identify the RMF: a file name, or a data structure
representing the data to use, as used by the I/O
backend in use by Sherpa: a
RMFCrateDatasetfor crates, as used by CIAO, or an AstroPy
- resp_id (int or str, optional) – The identifier for the RMF within this data set, if there are multiple responses.
- bkg_id (int or str, optional) – Set this to identify the RMF as being for use with the background.
- Return the RMF associated with a PHA data set.
- Load a RMF from a file and add it to the background of a PHA data set.
- Load an ARF from a file and add it to a PHA data set.
- Load multiple RMFs for a PHA data set.
- Load a file as a PHA data set.
- Define the convolved model expression for a data set.
- Load a RMF from a file and add it to a PHA data set.
- Read in a RMF from a file.
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 arg parameter. If given two un-named arguments, then they are interpreted as the id and arg parameters, respectively. The remaining parameters are expected to be given as named arguments.
If a PHA data set has an associated RMF - either from when the data was loaded or explicitly with the set_rmf function - then the model fit to the data will include the efect of the RMF when the model is created with set_model or set_source. In this case the get_source function returns the user model, and get_model the model that is fit to the data (i.e. it includes any response information; that is the ARF and RMF, if set). To include the RMF explicitly, use set_full_model.
The minimum_energy setting of the ogip section of the Sherpa configuration file determines the behavior when an RMF with a minimum energy of 0 is read in. The default is to replace the 0 by the value 1e-10, which will also cause a warning message to be displayed.
Use the contents of the file ‘src.rmf’ as the RMF for the default data set.
Read in a RMF from the file ‘bkg.rmf’ and set it as the RMF for the background model of data set “core”:
>>> load_rmf('core', 'bkg.rmf', bkg_id=1)