Name
       norm - normalize a cube/image

Synopsis
       norm [options] <incube> [outcube]

Description
       norm  is  used to normalize a cube with respect to a unity
       pixel scale, a unity mean pixel value, a unity flux, or  a
       unity  absolute flux.  norm can also scale all fluxes in a
       cube to a given value (see -f option) or to  the  flux  of
       the first plane in the cube.

Algorithm
       norm  supports several normalization schemes. See options.

       For a cube, the normalization is  applied  to  each  plane
       independently.

       default output name for in.fits is in.norm.fits

Options
       -m  scale
              normalizes  pixel  values so that the minimum value
              is 0.0 and the maximum is 1.0. All other pixel val-
              ues  are scaled accordingly.  No use is made of the
              BSCALE and BZERO  FITS  keywords  for  this!   This
              means  that  some pixel depth resolution is usually
              lost in this operation.

       -m  mean
              normalizes pixel values  so  that  the  mean  pixel
              value is 1.0.

       -m  flux
              normalizes  the  image to a unity flux, i.e. divide
              the image by the sum of all pixel values.

       -m  aflux
              normalizes the image to  an  absolute  unity  flux,
              i.e.  divide  the  image by the sum of all absolute
              pixel values.

       -m  scaleflux
              used with the -f option, this mode scales all plane
              fluxes  to  the parameter given with the -f option.
              Without this parameter, all plane fluxes are scaled
              according  to  the  flux  in the first plane of the
              input cube.

       -f  reqFlux
              to be used with the  "scaleflux"  mode  only.  This
              parameter  specifies to which flux value all planes
              fluxes have to be rescaled.

Files
       Input files shall all comply with FITS format.