all functions - D

               
 
   pp= is the discretization of the underlying gaussian random field.  
   u is the corresponding GRF  
   EXAMPLE  
interpreted function, defined at contrib/randfield.i   line 496  

               
 
   pp= is the discretization of the underlying gaussian random field.  
   u is the corresponding GRF  
   EXAMPLE  
     
   pp=32; xy=Dgenrandfield2D(pp);  
   tt=histo3d(xy,indgen(pp),indgen(pp));  
   tt /= double(sum(tt));  
   pli,tt;  
   EXAMPLE  
interpreted function, defined at contrib/randfield.i   line 528  

               
 
   pp= is the discretization of the underlying gaussian random field.  
   u is the corresponding GRF  
   EXAMPLE  
   pp=32; xyz=Dgenrandfield3D(pp);  
   tt=histo3d([xx,yy,zz],indgen(pp),indgen(pp),indgen(pp));  
   tt /= double(sum(tt));  
   sec3,tt;  
interpreted function, defined at contrib/randfield.i   line 572  

               
 
     returns  
     the 1+xi, the corrected number of pairs found in the 1D cloud of points  
     dist= gives the oportunity to specify the distance to be used.  
     period = allows for periodic boundary conditions (warning period *is* the period)  
     fun is a function of the vector distance and fx which  
     returns a scalar weight which is applied to all pairs: the weighting is fun(x,x1,fx,fx1)  
       
//     random noise  
     rrange=span(1e-4,1e-1,50);  
cc=[]; for(i=1;i<=5;i++){ pp=2^7; tt=Dtwoptcor1D(random(pp),rrange,period=1); grow,cc,[tt]; }pler,cc-1,mean=1  
//   GRF  
 require, "Chris/randfield.i"  
 cc=[]; for(i=1;i<=15;i++){ tt=Dtwoptcor1D(Dgenrandfield1D(2^10),rrange,period=1); grow,cc,[tt]; }  
//  check that both ways of measuring a correlation are equivalent  
cc=dd=[]; for(i=1;i<=15;i++){ rrange=span(1e-4,0.5,2^7); x=Dgenrandfield1D(2^10,u,pp=2^8);tt=Dtwoptcor1D(x,rrange,period=1); grow,cc,[tt]; grow,dd,[twoptcor1D(u/avg(u)-1,ft=1,iso=1)]; } pler,cc-1,mean=1; pler,dd,mean=1,color=-1;  
// test weighting  
pp=64; tt=Dtwoptcor1D(random(pp),rrange,fun=__tst_fun_wght1D,fx=random_normal(pp))  
interpreted function, defined at contrib/correl.i   line 95  

               
 
     returns  
     the 1+xi, the corrected excess number of pairs found in the 2D cloud of points  
     dist= gives the oportunity to specify the distance to be used.  
     period = allows for periodic boundary conditions (warning period *is* the period)  
     fun = is a function of the vector distance and  which  
     returns a scalar weight which is applied to all pairs: the weighting is fun(xy,xy2,fxy,fxy2))  
     EXAMPLE  
       
     random noise;  
     cc=[];pp=1000; for(i=1;i<=15;i++){ u=random(2,pp);tt=Dtwoptcor2D(u,rrange,period=1); grow,cc,[tt];}  
     gaussian field  
 require, "Chris/randfield.i";  
 cc=[]; for(i=1;i<=25;i++){ pp=2^10; xy=Dgenrandfield2D(pp); tt=Dtwoptcor2D(transpose(xy),rrange); grow,cc,[tt]; }  
 pler,cc-1,mean=1;  
// this doesn't seem to work fully well at this stage...  
ws;cc=dd=[]; for(i=1;i<=50;i++){ rrange=span(1e-4,0.5,2^7); xy=Dgenrandfield2D(2^12,u,pp=2^8);tt=Dtwoptcor2D(transpose(xy),rrange,period=1); grow,cc,[tt]; grow,dd,[twoptcor2D(u/avg(u)-1,ft=1,iso=1)(1:2^7)]; } pler,cc-1,mean=1; pler,dd,mean=1,color=-1;  
pp=64; tt=Dtwoptcor2D(random(2,pp),rrange,fun=__tst_fun_wght2D,fxy=random_normal(pp))  
interpreted function, defined at contrib/correl.i   line 194  

               
 
     returns  
     the 1+xi, the corrected excess number of pairs found in the 2D cloud of points  
     dist= gives the oportunity to specify the distance to be used.  
     period = allows for periodic boundary conditions (warning period *is* the period)  
     fun = is a function of the positions xyz and xyz2 and a (possibly vector) field fxyz and fxyz2  which  
     returns a scalar weight which is applied to all pairs: the weighting is fun(xyz,xyz2,fxyz,fxyz2)  
     TODO : deal with log rrange  
            deal with proper correction for   
       
EXAMPLE  
       
cc=[]; for(i=1;i<=15;i++){ pp=1500; u=random(3,pp);tt=Dtwoptcor3D(u,rrange,period=1); grow,cc,[tt];}  
pler,cc,mean=1,color=-1,marker=-1;  
// need to account for window;  
     // might want to consider linear sampling ...  
interpreted function, defined at contrib/correl.i   line 293