You may wish to merge the scrunched orders from one or several images into a single long spectrum, using ECHMERGE. Where overlapping data are to be merged, the contributions are weighted with estimates of their inverse variances on the assumption of Poisson noise. Where one contribution is below a given fraction of the other then it is ignored completely. The variance estimates are based on median filtered versions of the input orders and the median filter box size is controlled by the BOX parameter.
The input images must all have the same X size, units and values and can be 1D or 2D. The output image is always 1D. The second input image can be specified as blank in which case it is ignored.
$ ECHMERGE
(IMage) Name of first image [ARCE] - OBJS
(IMAGE1) Name of second image [ ] -
(Box) Size of box for median filter [30] -
(CUToff) Max ratio of data that permits contrib from weaker [4] -
(OUTput) Name of resulting image [OBJS] - OBJL