# unpack_rmf¶

sherpa.astro.ui.unpack_rmf(arg)

Create a RMF data structure.

Parameters: 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 a list of AstroPy HDU objects. rmf a sherpa.astro.instrument.RMF1D instance

get_rmf()
Return the RMF associated with a PHA data set.
load_arf()
Load a RMF from a file and add it to a PHA data set.
load_bkg_rmf()
Load a RMF from a file and add it to the background of a PHA data set.
load_multi_rmfs()
Load multiple RMFs for a PHA data set.
load_pha()
Load a file as a PHA data set.
load_rmf()
Load a RMF from a file and add it to a PHA data set.
set_full_model()
Define the convolved model expression for a data set.

Notes

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.

Examples

>>> rmf1 = unpack_rmf("rmf1.fits")
>>> rmf2 = unpack_rmf("rmf2.fits")


Read in a RMF using Crates:

>>> acr = pycrates.read_rmf("src.rmf")
>>> rmf = unpack_rmf(acr)


Read in a RMF using AstroPy:

>>> hdus = astropy.io.fits.open("src.rmf")
>>> rmf = unpack_rmf(hdus)