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 values 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 opera- tion. -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.