;This is the file with all the basic SCF parameters set by the user.

file0='samplecube.fits';The name of the FITS file to be analyzed

flag=1			;Some fits cubes  have velocity in the first 
			;dimension (flag=1) and some have it in the 
			;third dimension (flag=0)

q=4			;The number of FWHMs to include in each
			;direction from the velocity centroid

s2n=5			;The signal to noise threshold for rejecting
			;spectra

flag2=1			;Setting this flag to 1 causes the SCF
			;routines to add noise to all the data such 
			;that the signal to noise ratio is that 
			;given by the variable s2n

tol=0.01		;This is the percentage error allowed in the 
			;final signal to noise value when adding noise
			;to data

res=3			;The size of the SCF processing box in pixels.
			;The data are only processed in an r x r box.

smw=0			;The number of widths to use in a running
			;boxcar smoothing of the data to reduce noise.
			;A value of 0 indicates no smoothing.

flag3=0			;randomizes the data and processes the cube again 
			;when this flag is set to 1.

flag4=0			;Uses a simpler routine than Gaussian Fitting to
			;estimate widths: simply chooses width to be point
			;where spectrum is 30% of maximum.  Active when
			;flag4 is set to 1

flag5=1  		;If flag4 is set to 1 then when flag5 is set to
			;1, the program uses that Gaussian fits to 
			;create a map of the line parameters, but not
			;for SCF calculation.

;The following procedures generates the masking function for the SCF
;algorithm using IDL commands. The dmask batch file creates a r x r
;array with each entry being the distance in pixels from the center.

;@dmask
;mask=(mask le 2)

;To create a uniform mask, uncomment the following line:
mask=replicate(1.,res,res)
;mask(1:res-2,1:res-2)=0.