The motivation for this task is to create one high resolution response matrix for a set of observations without the need for creating individual high resolution matrices. The task differs in this aspect from rgscombine and is designed to minimise the time and space required in producing the intermediary steps to combine a set of observations, espcially for high resolution matrices of, for example, 50000 rows. This task creates a single response matrix file using information from a list of spectrum from multiple observations, and can also combine spectra and background spectra of the same instrument and spectral order to produce final files that can be used for futher, quantitative analysis in a fitting package such as Xspec. This differs from rgsfluxer, in that this task is able to produce a single response matrix for the observation set for spectral analysis. The procedure makes use of the SAS task rgsrmfgen, so that individual responses relevant to each individual observation are considered appropriately. This task assumes the spectra have been produced by rgsproc using the attsyle=user parameter, to assure that all spectra are aligned in wavelength. The call to rgsproc for each of the required observations with the parameters attstyle, attra, attdec and attapos should be called prior to calling rgssuperrmf. For example:
rgsproc withsrc=yes srclabel=Capella srcstyle=radec srcra=79.172330 srcdec=+45.997991 attstyle=user attra=79.172330 attdec=+45.997991 attapos=259.81
The spectrum attributes and response values, bar counts, are weighted prior to addition, in terms of the exposure time or areascal of the individual observation. In this way the spectra (NET or TOTAL), and the background spectra, can be combined.