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beginning to fold in HOD code with jeremy tinker's approval
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c_tools/hod/halo_exclusion.c
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c_tools/hod/halo_exclusion.c
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#include <stdlib.h>
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#include <stdio.h>
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#include <math.h>
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#include "header.h"
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double m_g3,r_g3;
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double func_ng(double m);
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/* The restr
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*/
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double restricted_number_density(double r)
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{
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static int flag=1;
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static double *x,*y;
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int i,n=50,j;
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double mlimit,dlogm,logm,mmin,sum=0,t0,t1,s1,r1,r2,ng2;
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r_g3=r;
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ng2=GALAXY_DENSITY*GALAXY_DENSITY;
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/* Calculate the maximum allowable halo mass.
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*/
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mlimit=log(4./3.*DELTA_HALO*RHO_CRIT*PI*r_g3*r_g3*r_g3*OMEGA_M);
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mmin=log(HOD.M_low);
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r1=pow(3*HOD.M_low/(4*PI*DELTA_HALO*RHO_CRIT*OMEGA_M),1.0/3.0);
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/* Calculate the double integral at specified masses.
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*/
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dlogm=(mlimit-mmin)/(n-1);
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for(i=1;i<=n;++i)
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{
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logm=(i-0.5)*dlogm+mmin;
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m_g3=exp(logm);
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r2 = pow(3*m_g3/(4*PI*DELTA_HALO*RHO_CRIT*OMEGA_M),1.0/3.0);
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if(EXCLUSION==3) {
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if(ellipsoidal_exclusion_probability(r1/r2,r_g3/(r1+r2))==0)break; }
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else {
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if(r1+r2>r_g3)break; }
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s1=qtrap(func_ng,mmin,mlimit,1.0E-4);
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sum+=s1*m_g3*dlogm;
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if(s1==0)break;
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if(sum>=ng2)break;
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}
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return sqrt(sum);
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}
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double func_ng(double m)
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{
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static double fac2=-1;
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double s1,rv1,rv2,exfac=1,n,N;
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m=exp(m);
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if(fac2<0)
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fac2=pow(3.0/(4*DELTA_HALO*PI*RHO_CRIT*OMEGA_M),1.0/3.0);
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rv1=pow(m_g3,1.0/3.0)*fac2;
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rv2=pow(m,1.0/3.0)*fac2;
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if(EXCLUSION==3)
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{
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if(0.5*(rv1+rv2)>r_g3)return(0);
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if(1.5*(rv1+rv2)>r_g3)exfac=ellipsoidal_exclusion_probability(rv2/rv1,r_g3/(rv2+rv1));
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}
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else
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{
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if(rv1+rv2>r_g3)return(0);
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}
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n=dndM_interp(m)*dndM_interp(m_g3);
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N=N_avg(m)*N_avg(m_g3);
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return(exfac*n*N*m);
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}
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/* This is the probability that two halos do not overlap, given their
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* radii and separation. Of course, for spherical halos P(x) is a step function
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* at x = (r1+r2)/r_sep = 1, but for ellipsoidal halos there is a chance
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* that they could be closer. In detail, P(x) changes depending on the mass
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* ratio of the halos, but using tabulated values does not appear to make
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* significant difference in the results for xi_2h(r). The function below is
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* a fit to Monte Carlo results for a halos with a distribution of axis ratios
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* which is lognormal in e_b = (1-b/a) and e_c = (1-c/a) with dispersions of 0.2
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* mean <b/a>=0.9 and <c/a>=0.8 (pretty reasonable values).
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*/
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double ellipsoidal_exclusion_probability(double rv, double r)
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{
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static int flag=0,nr=101,nratio=31;
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static double **xprob,*rad,*ratio,rhi,rlo,mhi,mlo,dr,dm;
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float x1,x2,x3;
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int i,j,im,ir;
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FILE *fp;
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if(rv<1)rv=1.0/rv;
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r=(r-0.8)/0.29;
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if(r>1)return(1.0);
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if(r<0)return(0.0);
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return(3*r*r-2*r*r*r);
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}
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