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\n Synopsis
		sfnmo3mcmcspiral < inp.rsf t0sq=t0sqf.rsf rangecoef=rangecoeff.rsf offsetx=ofx.rsf offsety=ofy.rsf > out.rsf seed=time(NULL) sigma=1.0 saveiter=20 prior=n rational=n nmodel=1000

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\n Parameters
		\n \n \n \n   int nmodel=1000 \tGet the number of MC models \n \n \n\n \n \n \n   file offsetx= \tauxiliary input file name \n \n \n\n \n \n \n   file offsety= \tauxiliary input file name \n \n \n\n \n \n \n   bool prior=n [y/n] \tgenerate prior or posterior \n \n \n\n \n \n \n   file rangecoef= \tauxiliary input file name \n \n \n\n \n \n \n   bool rational=n [y/n] \tuse rational approximation form of GMA \n \n \n\n \n \n \n   int saveiter=20 \tsave state every iter \n \n \n\n \n \n \n   int seed=time(NULL) \trandom seed \n \n \n\n \n \n \n   float sigma=1.0 \tnoise variance \n \n \n\n \n \n \n   file t0sq= \tauxiliary input file name \n \n \n

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