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Once the data in the image frame has been preprocessed the multiple
spectra can be flat-fielded, extracted and calibrated.
It is only required that there 
exist a BOXES list containing the definitions of the spectra locations.
The BOXES list can be updated in accordance with the actual data using the
 UPDBOXES command.
The 1D spectra files are created using the  EXTRACT
command and the wavelength calibration of the arc images to take place via
the  ARC command.
These commands have many options and are described in detail
below.
Alternatively the following routines may be useful to perform
variations on the standard analysis:
  -  SKYSUBTRACT performs the sky-subtraction for each spectrum.
        It can be run in either automatic or, by use of the logical 
        argument  PLOT, interactive mode.
        The algorithm differs somewhat from that used by EXTRACT.
  
-  FLUX uses a fluxing standard contained in an FSPEC list
        to correct for the spectral response of the detector/instrument
        combination. It can be multiplied ( /MUL) or divided ( /DIV).
        The spectrum and standard are assumed to have the same dispersion
        and spectral range.
  
-  SCRUNCH transforms the data to a linear wavelength scale.
  
-  BOXIMAGE cuts out a given spectrum and puts it into a smaller
        external 2D image. This might be required
        if another package is to be used for the subsequent calibration.
        The header items from the parent image are propogated, and information
        regarding the details about the box is also recorded.
   
-  HORNE is an option to perform optimal extraction using
        the Horne (P.A.S.P., 1986) algorithm. This algorithm is particularly
        appropriate for spectra which have only small tilts of the
        object spectrum, such as those produced by LDSS-2.
        It is intended to be performed on images which have already been
        sky subtracted.
 
 
  
  
  
  
  
 
 Previous:  Graphical output
 Up:  LEXT manual
  Previous Page:  Interactive examination of data
 Next Page:  Flatfielding