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# Parameters for identify task.
images,s,a,,,,Images containing features to be identified
section,s,h,"middle line",,,Section to apply to two dimensional images
database,f,h,database,,,Database in which to record feature data
coordlist,f,h,linelists$henear.dat,,,User coordinate list
units,s,h,"",,,Coordinate units
nsum,s,h,"10",,,Number of lines/columns/bands to sum in 2D images
match,r,h,50.,,,Coordinate list matching limit
maxfeatures,i,h,50,,,Maximum number of features for automatic identification
zwidth,r,h,100.,,,Zoom graph width in user units
ftype,s,h,"emission","emission|absorption",,Feature type
fwidth,r,h,4.,,,Feature width in pixels
cradius,r,h,5.,,,Centering radius in pixels
threshold,r,h,10.,0.,,Feature threshold for centering
minsep,r,h,2.,0.,,Minimum pixel separation
function,s,h,"chebyshev","legendre|chebyshev|spline1|spline3",,Coordinate function
order,i,h,6,1,,Order of coordinate function
sample,s,h,"*",,,Coordinate sample regions
niterate,i,h,0,0,,Rejection iterations
low_reject,r,h,3.,0.,,Lower rejection sigma
high_reject,r,h,3.,0.,,Upper rejection sigma
grow,r,h,0.,0.,,Rejection growing radius
autowrite,b,h,no,,,"Automatically write to database"
graphics,s,h,"stdgraph",,,Graphics output device
cursor,*gcur,h,"",,,Graphics cursor input
crval,s,q,,,,"Approximate coordinate (at reference pixel)"
cdelt,s,q,,,,"Approximate dispersion"
aidpars,pset,h,,,,"Automatic identification algorithm parameters"
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