next up previous contents index
Next: Determine Source Counts Up: 5.2 Tasks of the Previous: Conversion of Source Detection

Multi Source Fit to Image Data

 

In case an in advance knowledge of a sample of sources is known in an image, a least square fitting of a point spread function model to the image data may be advantageous in order to determine the source parameters. If sources lie in a crowded region (and/or) do overlap in the point spread function a multiple source fit is recommended to be applied. A command FIT/MULTI_SOURCE is available to fit up to 6 overlapping sources simultanously.

The method can be applied to ROSAT PSPC and HRI data. The point spread function model used in the least-square fit is a simple Gaussian approximation. The command syntax is:

FIT/MULTI_SOURCE mlcnts edit
  A parameter file mlcnts.par is created and offered to be edited. The parameters in the parameter file mlcnts.par are listed in Table 5.11.

   table3723
Table 5.11: Parameter file for FIT/MULTI_SOURCE

The parameters of the parameter file mlcnts.par are described in more detail:

The RESULT_TABLE has the following information (cf. Table 5.12):

   table3766
Table 5.12: Info from RESULT_TABLE of FIT/MULTI_SOURCE


next up previous contents index
Next: Determine Source Counts Up: 5.2 Tasks of the Previous: Conversion of Source Detection

If you have problems/suggestions please send mail to rosat_svc@mpe-garching.mpg.de