Synopsis
Load a RMF from a file and add it to a PHA data set.
Syntax
load_rmf(id, arg=None, resp_id=None, bkg_id=None) id - int or str, optional resp_id - int or str, optional bkg_id - int or str, optional
Description
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.
Examples
Example 1
Use the contents of the file 'src.rmf' as the RMF for the default data set.
>>> load_rmf('src.rmf')Example 2
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)PARAMETERS
The parameters for this function are:
| Parameter | Definition |
|---|---|
| id | 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 rmfcratedataset for crates, as used by CIAO, or an AstroPy hdulist object. |
| resp_id | The identifier for the RMF within this data set, if there are multiple responses. |
| bkg_id | Set this to identify the RMF as being for use with the background. |
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 `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 effect 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.
Changes in CIAO
Changed in CIAO 4.16
This command does not support multi-matrix RMF files and will warn the user when given such a file (as only the first matrix is read in, the results will not be correct).
Bugs
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.
See Also
- data
- dataspace1d, dataspace2d, datastack, fake, get_bkg, get_bkg_arf, get_bkg_model, get_bkg_rmf, get_bkg_source, get_rmf, load_arf, load_arrays, load_ascii, load_bkg, load_bkg_arf, load_bkg_rmf, load_data, load_grouping, load_image, load_multi_arfs, load_multi_rmfs, load_pha, load_quality, load_staterror, load_syserror, load_table, pack_image, pack_pha, pack_table, set_rmf, unpack_arf, unpack_arrays, unpack_ascii, unpack_bkg, unpack_data, unpack_image, unpack_pha, unpack_rmf, unpack_table
- filtering
- load_filter
- info
- get_default_id, list_bkg_ids, list_data_ids, list_response_ids
- modeling
- add_model, add_user_pars, get_response, load_table_model, load_template_interpolator, load_template_model, load_user_model, save_model, save_source
- saving
- save_arrays, save_data, save_delchi, save_error, save_filter, save_grouping, save_image, save_pha, save_quality, save_resid, save_staterror, save_syserror, save_table
- statistics
- load_user_stat