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Image reconstruction and spectral extraction - spiros

A detailed description of spiros is given in the spiros User Manual written by P.H.Connell, [6]. Here we give just some brief explanations and describe only the parameters used by the main script. Note that even for the explained parameters we do not give the full range of possible values.

SPI is a coded-mask instrument, so direct deconvolution is in principle possible, but in practice the response is complex and the data include many pointing directions of the instrument, so `indirect imaging' is essential. Indirect imaging implies `forward-folding': for any candidate image we convolve with the instrument response function and compare the result with the observed data. This gives the basis for any iterative method which seeks to successively improve the agreement of the predicted with the observed data by adjusting the image. One approach is to regard the image as made up of `point sources' and to adjust their positions and fluxes to give a best-fit to the data. This is the basic principle of the spiros method.

The primary purpose of spiros is to use SPI data to locate point or point like sources in the observation field of view and to output a catalog of their parameters along with images, their spectra and any flux variability in time.

spiros has three basic operating modes to choose from:



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Next: IMAGING mode Up: Data analysis steps Previous: Background model generation -   Contents
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