| | | \n\n \n \n \n float dx= | \tbin size in x \n | \n \n\n \n \n \n float dy= | \tbin size in y \n | \n \n\n \n \n \n float eps=1./nd | \tregularization parameter \n | \n \n\n \n \n \n float filt1=3. | \t \n | \n \n\n \n \n \n float filt2=filt1 | \tsmoothing length for shaping \n | \n \n\n \n \n \n bool gauss=n [y/n] | \tif y, use gaussian shaping (estimated from the data) \n | \n \n\n \n \n \n string head= | \t \n | \n \n\n \n \n \n int interp=2 | \tinterpolation length \n | \n \n\n \n \n \n int niter=nm | \tnumber of iterations \n | \n \n\n \n \n \n int nliter=1 | \tnumber of reweighting iterations \n | \n \n\n \n \n \n int nx= | \tNumber of bins in x \n | \n \n\n \n \n \n int ny= | \tNumber of bins in y \n | \n \n\n \n \n \n string pattern= | \tauxiliary input file name \n | \n \n\n \n \n \n string pin= | \tauxiliary input file name \n | \n \n\n \n \n \n string pout= | \tauxiliary output file name \n | \n \n\n \n \n \n bool shape=y [y/n] | \tif y, use shaping regularization \n | \n \n\n \n \n \n bool verb=y [y/n] | \tverbosity flag \n | \n \n\n \n \n \n float x0=xmin | \t \n | \n \n\n \n \n \n int xkey= | \tx key number \n | \n \n\n \n \n \n float xmax= | \t \n | \n \n\n \n \n \n float xmin= | \t \n | \n \n\n \n \n \n float y0=ymin | \tgrid origin \n | \n \n\n \n \n \n int ykey= | \ty key number \n | \n \n\n \n \n \n float ymax= | \t \n | \n \n\n \n \n \n float ymin= | \tGrid dimensions \n | \n \n |