Image Reduction and Analysis Facility
PACKAGE = longslit
   TASK = identify

images  =  argon.fits           Images containing features to be identified
(section=          middle line) Section to apply to two dimensional images
(databas=             database) Database in which to record feature data
(coordli=  linelists$argon.dat) User coordinate list
(units  =                     ) Coordinate units
(nsum   =                   10) Number of lines/columns/bands to sum in 2D image
(match  =                  -3.) Coordinate list matching limit
(maxfeat=                   50) Maximum number of features for automatic identif
(zwidth =                 100.) Zoom graph width in user units
(ftype  =             emission) Feature type
(fwidth =                   4.) Feature width in pixels
(cradius=                   5.) Centering radius in pixels
(thresho=                   0.) Feature threshold for centering
(minsep =                   2.) Minimum pixel separation
(functio=             legendre) Coordinate function
(order  =                    4) Order of coordinate function
(sample =                    *) Coordinate sample regions
(niterat=                    0) Rejection iterations
(low_rej=                   3.) Lower rejection sigma
(high_re=                   3.) Upper rejection sigma
(grow   =                   0.) Rejection growing radius
(autowri=                   no) Automatically write to database
(graphic=             stdgraph) Graphics output device
(cursor =                     ) Graphics cursor input
crval   =                       Approximate coordinate (at reference pixel)
cdelt   =                       Approximate dispersion
(aidpars=                     ) Automatic identification algorithm parameters
(mode   =                   ql)