Last modified: December 2013

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AHELP for CIAO 4.11 Sherpa v1


Context: data


Load a source or background RMF


load_rmf( [id], filename|RMFCrate, [resp_id=1], [bkg_id=None] )


The load_rmf command loads an RMF from a FITS file or an RMFCrate. The RMF may be set as the response file for any available source or background dataset. Additionally, more than one RMF may be associated with a dataset.

The load_bkg_rmf command ("ahelp load_bkg_rmf") may instead be used to load the background RMF. It uses the default background and response ids, which is adequate for most simple analysis sessions.


Example 1

sherpa> load_rmf("rmf.fits")

Load rmf.fits and assign it as the first RMF for the source dataset. This basic case could also have been done with the load_bkg_rmf command ("ahelp load_bkg_rmf")

Example 2

sherpa> load_rmf(1, "source.rmf", resp_id=2)

The file source.rmf is loaded as the second RMF (the resp_id is 2) assigned to the dataset with id=1.

Example 3

sherpa> load_rmf("rmf.fits", resp_id=1, bkg_id=2)

Load a background response on the second background (bkg_id=2) of a PHA data set. The RMF is loaded from a file and uses the default dataset id.

Example 4

sherpa> rmfcr = read_rmf("3c273.rmf")
sherpa> load_rmf(rmfcr)

The RMF is read into an RMFCrate (named "rmfcr") from the file 3c273.rmf. The RMF is then loaded into Sherpa from the crate, using the default options.


See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.

See Also

dataspace1d, dataspace2d, datastack, fake, get_bkg, 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
get_default_id, list_bkg_ids, list_data_ids, list_response_ids
add_model, add_user_pars, get_response, load_table_model, load_template_model, load_user_model, save_model, save_source
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