| 1 | #include "sopnamsp.h"
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| 2 | #include "machdefs.h"
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| 3 | #include <iostream>
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| 4 | #include <stdlib.h>
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| 5 | #include <stdio.h>
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| 6 | #include <string.h>
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| 7 | #include <math.h>
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| 8 | #include <unistd.h>
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| 9 |
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| 10 | #include "sophyainit.h"
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| 11 | #include "timing.h"
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| 12 | #include "dvlist.h"
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| 13 | #include "histos.h"
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| 14 | #include "fabtcolread.h"
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| 15 | #include "fftwserver.h"
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| 16 |
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| 17 | #include "constcosmo.h"
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| 18 | #include "geneutils.h"
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| 19 | #include "genefluct3d.h"
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| 20 | // set simul = 6_0p0_780
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| 21 | // cmvrvloscorf -K 75 -S ginit3d_${simul}_r.fits ginit3d_${simul}_rv.fits
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| 22 | // cmvrvloscorf -n 1,30 -K 75 -S -2 ginit3d_${simul}_r.fits ginit3d_${simul}_rv.fits
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| 23 | // cmvrvloscorf -n 1,30 -2 ginit3d_${simul}_r.fits ginit3d_${simul}_rv.fits
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| 24 |
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| 25 | void usage(void);
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| 26 | void usage(void)
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| 27 | {
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| 28 | cout
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| 29 | <<"cmvrvloscor [options] rho.fits vlos.fits"<<endl
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| 30 | <<"-n nplany,nhfill: process one Y plane every \"nplany\" (def:1(all))"<<endl
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| 31 | <<" fill histos with \"nhfill\" los (def:25)"<<endl
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| 32 | <<"-K npix: compute correlation R*V at +/- npix pixels (def: no)"<<endl
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| 33 | <<" (very time consuming!!!)"<<endl
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| 34 | <<"-S: compute cross-power spectrum of V*conj(R) (def: no)"<<endl
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| 35 | <<"-N: do not create 3D cube and recompute 1D and 2D spectra (def: no do-it !)"<<endl
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| 36 | <<"-2: compute 2D projection fpr dRho and dRho(corrected) (def=no)"<<endl
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| 37 | <<endl;
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| 38 | }
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| 39 |
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| 40 | int main(int narg,char *arg[])
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| 41 | {
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| 42 | int nthread = 1, nplany=1, nhfilllos = 25, npixcor = 0;
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| 43 | bool docube=true, dopk = false, do2d = false;
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| 44 |
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| 45 | // --- Decodage des arguments
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| 46 | char c;
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| 47 | while((c = getopt(narg,arg,"hn:K:SN2")) != -1) {
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| 48 | switch (c) {
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| 49 | case 'n' :
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| 50 | sscanf(optarg,"%d,%d",&nplany,&nhfilllos);
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| 51 | if(nplany<=0) nplany = 1;
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| 52 | if(nhfilllos<=0) nhfilllos = 0;
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| 53 | break;
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| 54 | case 'K' :
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| 55 | npixcor = atoi(optarg);
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| 56 | break;
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| 57 | case 'S' :
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| 58 | dopk = true;
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| 59 | break;
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| 60 | case 'N' :
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| 61 | docube = false;
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| 62 | break;
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| 63 | case '2' :
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| 64 | do2d = true;
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| 65 | break;
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| 66 | case 'h' :
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| 67 | default :
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| 68 | usage(); return -1;
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| 69 | }
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| 70 | }
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| 71 | if(optind>=narg-1) {usage(); return -1;}
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| 72 |
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| 73 | //----TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH
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| 74 | try {
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| 75 | //----TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH
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| 76 |
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| 77 | SophyaInit();
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| 78 | InitTim();
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| 79 |
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| 80 | // --- open FITS files (dRho/Rho and Vlos)
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| 81 | cout<<"> read rho: "<<arg[optind]<<endl;
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| 82 | FitsImg3DRead f3dr(arg[optind],0,5);
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| 83 | cout<<"> read vlos: "<<arg[optind+1]<<endl;
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| 84 | FitsImg3DRead f3dv(arg[optind+1],0,5);
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| 85 | long Nx = f3dr.ReadKeyL("Nx");
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| 86 | long Ny = f3dr.ReadKeyL("Ny");;
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| 87 | long Nz = f3dr.ReadKeyL("Nz");;
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| 88 | cout<<"N: x="<<Nx<<" y="<<Ny<<" z="<<Nz<<endl;
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| 89 | double Dx = f3dr.ReadKey("Dx");
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| 90 | double Dy = f3dr.ReadKey("Dy");
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| 91 | double Dz = f3dr.ReadKey("Dz");
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| 92 | cout<<"D: x="<<Dx<<" y="<<Dy<<" z="<<Dz<<endl;
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| 93 | double Zref = f3dr.ReadKey("ZREF");
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| 94 | double Href = f3dr.ReadKey("HREF");
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| 95 | cout<<"Zref="<<Zref<<" Href="<<Href<<endl;
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| 96 |
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| 97 | double dmin = min(Dx,min(Dy,Dz));
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| 98 | long nmax = max(Nx,max(Ny,Nz));
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| 99 | cout<<"dmin="<<dmin<<" nmax="<<nmax<<endl;
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| 100 | Histo hmpc(-dmin*nmax,dmin*nmax,4*nmax);
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| 101 |
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| 102 | POutPersist pos("cmvrvloscor.ppf");
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| 103 | DVList dvlcor;
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| 104 |
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| 105 | // --- Create a Cube for analysis
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| 106 | GeneFluct3D *fluct3d = NULL;
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| 107 | TArray<GEN3D_TYPE>* rgen = NULL;
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| 108 | if(docube) {
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| 109 | cout<<"...Create and fill 3D cube"<<endl;
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| 110 | fluct3d = new GeneFluct3D(Nx,Ny,Nz,Dx,Dy,Dz,nthread,2);
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| 111 | fluct3d->Print();
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| 112 | rgen = &(fluct3d->GetRealArray());
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| 113 | *rgen = 0.;
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| 114 | cout<<"rgen: size [1]="<<rgen->SizeX()
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| 115 | <<" [2]="<<rgen->SizeY()
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| 116 | <<" [3]="<<rgen->SizeZ()<<endl;
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| 117 | cout<<"pkgen: size [1]="<<fluct3d->GetComplexArray().SizeX()
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| 118 | <<" [2]="<<fluct3d->GetComplexArray().SizeY()
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| 119 | <<" [3]="<<fluct3d->GetComplexArray().SizeZ()<<endl;
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| 120 | }
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| 121 |
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| 122 | // --- Vector for real-space correlation computation
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| 123 | int imil = Nz-1;
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| 124 | dvlcor("imil") = (int_4)imil;
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| 125 | TVector<int_4> nKsi;
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| 126 | TVector<r_8> Ksirv, Ksirvc, Ksirr, Ksirrc;
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| 127 | if(npixcor>0) {
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| 128 | Ksirv.ReSize(2*Nz-1); Ksirv = 0.;
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| 129 | Ksirvc.ReSize(2*Nz-1); Ksirvc = 0.;
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| 130 | Ksirr.ReSize(2*Nz-1); Ksirr = 0.;
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| 131 | Ksirrc.ReSize(2*Nz-1); Ksirrc = 0.;
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| 132 | nKsi.ReSize(2*Nz-1); nKsi = 0;
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| 133 | cout<<"...Compute R*V correlation on +/-"<<npixcor<<" px"<<endl;
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| 134 | }
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| 135 |
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| 136 | // --- Vector for PK cross-correlation computation
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| 137 | int npk = 0;
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| 138 | TVector< complex<r_4> > FR, FV;
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| 139 | TVector< complex<r_8> > pkvr, FRdis;
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| 140 | TVector<r_8> pkr, pkrc;
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| 141 | FFTWServer fftserv;
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| 142 | if(dopk) cout<<"...compute V*conj(R) cross-power spectrum"<<endl;
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| 143 |
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| 144 | // --- Read and process data
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| 145 | TVector<r_4> R(Nz), V(Nz);
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| 146 | TVector<r_8> Rdis(Nz);
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| 147 | if(nplany>Ny) nplany = Ny;
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| 148 | cout<<"...Will read one Y plane every "<<nplany<<endl;
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| 149 | if(nhfilllos) {
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| 150 | cout<<"...Fill Mpc displacement histo with "<<nhfilllos<<" los"<<endl;
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| 151 | nhfilllos = int((double)Nx*Ny/nplany/nhfilllos + 0.5);
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| 152 | if(nhfilllos<=0) nhfilllos = 1;
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| 153 | cout<<" -> fill one los every "<<nhfilllos<<endl;
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| 154 | }
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| 155 |
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| 156 | cout<<">>> filling redshift distorted cube"<<endl;
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| 157 | int nlosread = 0;
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| 158 | for(int i=0;i<Nx;i++) {
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| 159 | if(i%(Nx/10)==0) cout<<" i="<<i<<endl;
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| 160 | TMatrix<r_4> M2d, M2dc;
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| 161 | if(do2d && (i==0 || i==Nx/2 || i==Nx-1)) {
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| 162 | M2d.ReSize(Ny,Nz); M2d = 0.;
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| 163 | M2dc.ReSize(Ny,Nz); M2dc = 0.;
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| 164 | }
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| 165 | for(int j=0;j<Ny;j+=nplany) {
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| 166 | bool fhis = false;
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| 167 | if(nhfilllos) if(nlosread%nhfilllos==0) fhis = true;
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| 168 | //for(int l=0;l<Nz;l++) R(l) = f3dr.Read(l,j,i);
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| 169 | //for(int l=0;l<Nz;l++) V(l) = f3dv.Read(l,j,i);
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| 170 | f3dr.Read(j,i,R);
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| 171 | f3dv.Read(j,i,V);
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| 172 | Rdis = 0.;
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| 173 | // Calcul du champ R redshift distordu
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| 174 | for(int l=0;l<Nz;l++) {
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| 175 | double d = (1.+Zref) / Href * V(l);
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| 176 | if(fhis) hmpc.Add(d);
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| 177 | double lpd = (double)l + d/Dz; // valeur du deplacee
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| 178 | // on repartit proportionellement au recouvrement sur 2 pixels
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| 179 | long l1 = long(lpd); // pixel de gauche
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| 180 | long l2 = l1 + 1; // pixel de droite
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| 181 | lpd -= (double)l1; // recouvrement du pixel du dessus
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| 182 | if(l1>=0 && l1<Nz) Rdis(l1) += R(l) * (1.-lpd);
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| 183 | if(l2>=0 && l2<Nz) Rdis(l2) += R(l) * lpd;
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| 184 | }
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| 185 | // On remplit eventuellement les matrices 2D
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| 186 | if(do2d && M2d.Size()>0)
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| 187 | for(int l=0;l<Nz;l++) {M2d(j,l) = R(l); M2dc(j,l) = Rdis(l);}
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| 188 | // On remplit le cube avec le champ R redshift distordu
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| 189 | if(fluct3d) for(int l=0;l<Nz;l++) (*rgen)(l,j,i) += Rdis(l);
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| 190 | // Calcul eventuel de la fonction de correlation R*V
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| 191 | if(npixcor>0) {
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| 192 | for(long l1=0;l1<Nz;l1++) {
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| 193 | for(long l2=max(0L,l1-npixcor);l2<min(Nz,l1+npixcor);l2++) {
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| 194 | int lc = imil+(l2-l1);
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| 195 | Ksirr(lc) += R(l1)*R(l2);
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| 196 | Ksirrc(lc) += Rdis(l1)*R(l2);
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| 197 | Ksirv(lc) += R(l1)*V(l2);
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| 198 | Ksirvc(lc) += Rdis(l1)*V(l2);
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| 199 | nKsi(lc)++;
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| 200 | }
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| 201 | }
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| 202 | }
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| 203 | // Cross-power spectrum computation
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| 204 | if(dopk) {
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| 205 | fftserv.FFTForward(V,FV);
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| 206 | int nf = FV.Size();
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| 207 | if(pkvr.Size()<=0) {
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| 208 | cout<<"...Create vector for cross-power spectrum computation"<<endl;
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| 209 | pkvr.ReSize(nf); pkvr = complex<r_8>(0.);
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| 210 | pkr.ReSize(nf); pkr = 0.;
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| 211 | pkrc.ReSize(nf); pkrc = 0.;
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| 212 | }
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| 213 | fftserv.FFTForward(R,FR);
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| 214 | for(int l=0;l<nf;l++) {
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| 215 | pkvr(l) += FV(l)*conj(FR(l));
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| 216 | pkr(l) += norm(FR(l));
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| 217 | }
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| 218 | fftserv.FFTForward(Rdis,FRdis);
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| 219 | for(int l=0;l<nf;l++) pkrc(l) += norm(FRdis(l));
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| 220 | npk++;
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| 221 | }
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| 222 | nlosread++;
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| 223 | }
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| 224 | if(do2d && M2d.Size()>0) {
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| 225 | char str[64];
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| 226 | sprintf(str,"mx_%d",i);
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| 227 | pos.PutObject(M2d,str);
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| 228 | sprintf(str,"mxc_%d",i);
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| 229 | pos.PutObject(M2dc,str);
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| 230 | }
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| 231 | }
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| 232 |
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| 233 | cout<<"Number of processed los: "<<nlosread<<" / "<<Nx*Ny<<endl;
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| 234 | dvlcor("nlosread") = (int_4)nlosread;
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| 235 | if(hmpc.NEntries()>0) {
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| 236 | hmpc.Show();
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| 237 | pos.PutObject(hmpc,"hmpc");
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| 238 | }
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| 239 | if(Ksirr.Size()>0) {
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| 240 | for(int l=0;l<Ksirr.Size();l++) if(nKsi(l)>0) {
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| 241 | Ksirr(l) /= nKsi(l);
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| 242 | Ksirrc(l) /= nKsi(l);
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| 243 | Ksirv(l) /= nKsi(l);
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| 244 | Ksirvc(l) /= nKsi(l);
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| 245 | }
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| 246 | pos.PutObject(Ksirr,"ksirr");
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| 247 | pos.PutObject(Ksirrc,"ksirrc");
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| 248 | pos.PutObject(Ksirv,"ksirv");
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| 249 | pos.PutObject(Ksirvc,"ksirvc");
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| 250 | pos.PutObject(nKsi,"nksi");
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| 251 | }
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| 252 | if(npk>0) {
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| 253 | pkvr /= (double)npk;
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| 254 | pkr /= (double)npk;
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| 255 | pkrc /= (double)npk;
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| 256 | pos.PutObject(pkvr,"pkvr");
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| 257 | pos.PutObject(pkr,"pkr");
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| 258 | pos.PutObject(pkrc,"pkrc");
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| 259 | }
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| 260 | PrtTim(">>>> End filling redshift distorted cube");
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| 261 |
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| 262 | // --- Fourier transform 3D cube and compute 1D and 2D power spectra
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| 263 | if(fluct3d) {
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| 264 | cout<<">>> Fourier transform 3D cube and compute 1D and 2D power spectra"<<endl;
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| 265 | // do the FFT for spectrum analysis
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| 266 | fluct3d->ReComputeFourier();
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| 267 | PrtTim(">>>> End ReComputing spectrum");
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| 268 |
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| 269 | // Compute 1D spectrum
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| 270 | cout<<endl<<"\n--- Computing final 1D spectrum"<<endl;
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| 271 | double dkmin = fluct3d->GetKincMin(), knyqmax = fluct3d->GetKmax();
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| 272 | long nherr = long(knyqmax/dkmin+0.5);
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| 273 | cout<<"\nFor HistoErr: d="<<dkmin<<" max="<<knyqmax<<" n="<<nherr<<endl;
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| 274 | HistoErr hpkrec(0.,knyqmax,nherr); hpkrec.Zero();
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| 275 | hpkrec.ReCenterBin(); hpkrec.Show();
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| 276 | fluct3d->ComputeSpectrum(hpkrec);
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| 277 | pos.PutObject(hpkrec,"hpkrec");
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| 278 | PrtTim(">>>> End Computing final spectrum");
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| 279 |
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| 280 | // Compute 2D spectrum
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| 281 | cout<<"\n--- Computing final 2D spectrum"<<endl;
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| 282 | double dktmin = fluct3d->GetKTincMin(), ktnyqmax = fluct3d->GetKTmax();
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| 283 | double dkzmin = fluct3d->GetKinc()[2], kznyqmax = fluct3d->GetKnyq()[2];
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| 284 | long nherrt = long(ktnyqmax/dktmin+0.5), nherrz = long(kznyqmax/dkzmin+0.5);
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| 285 | cout<<"For Histo2DErr: d="<<dktmin<<","<<dkzmin
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| 286 | <<" max="<<ktnyqmax<<","<<kznyqmax<<" n="<<nherrt<<","<<nherrz<<endl;
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| 287 | Histo2DErr hpkrec2(0.,ktnyqmax,nherrt,0.,kznyqmax,nherrz);
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| 288 | hpkrec2.ReCenterBin(); hpkrec2.Zero(); hpkrec2.Show();
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| 289 | fluct3d->ComputeSpectrum2D(hpkrec2);
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| 290 | pos.PutObject(hpkrec2,"hpkrec2");
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| 291 | PrtTim(">>>> End Computing final 2D spectrum");
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| 292 | }
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| 293 |
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| 294 | // --- end of job, write objects in ppf
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| 295 | pos.PutObject(dvlcor,"dvlcor");
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| 296 | if(fluct3d) delete fluct3d;
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| 297 |
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| 298 | //----TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH
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| 299 | } catch (PException& exc) {
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| 300 | cerr<<"cmvrvloscor.cc catched PException"<<exc.Msg()<<endl;
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| 301 | return 77;
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| 302 | } catch (std::exception& sex) {
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| 303 | cerr << "cmvrvloscor.cc std::exception :"
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| 304 | << (string)typeid(sex).name() << "\n msg= "
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| 305 | << sex.what() << endl;
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| 306 | return 78;
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| 307 | } catch (...) {
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| 308 | cerr << "cmvrvloscor.cc catched unknown (...) exception " << endl;
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| 309 | return 79;
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| 310 | }
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| 311 | //----TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH-TRY-CATCH
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| 312 |
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| 313 | return 0;
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| 314 | }
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| 315 |
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| 316 | /*
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| 317 | openppf cmvrvloscor.ppf
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| 318 |
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| 319 | disp hmpc
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| 320 |
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| 321 | # cross-correlation
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| 322 | disp nksi
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| 323 | set imil ${dvlcor.imil}
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| 324 | n/plot ksirv.val%n-${imil} ! ! "nsta cpts"
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| 325 | n/plot ksirvc.val%n-${imil} ! ! "nsta cpts same red"
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| 326 |
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| 327 | n/plot ksirr.val%n-${imil} ! ! "nsta cpts"
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| 328 | n/plot ksirrc.val%n-${imil} ! ! "nsta cpts same red"
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| 329 |
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| 330 | # cross-power spectrum
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| 331 | n/plot pkr.val%n ! ! "nsta cpts logx"
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| 332 | n/plot pkrc.val%n ! ! "nsta cpts logx same red"
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| 333 |
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| 334 | n/plot pkvr.val%n ! ! "nsta cpts logx"
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| 335 |
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| 336 | # reconstructed 1D power spectrum
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| 337 | n/plot hpkrec.val%x x>0 ! "nsta cpts logx"
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| 338 |
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| 339 | # reconstructed 2D power spectrum
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| 340 | imag hpkrec2
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| 341 | addoval 0 0 0.05 0.05 "green" false
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| 342 | addoval 0 0 0.1 0.1 "green" false
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| 343 | addoval 0 0 0.25 0.25 "green" false
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| 344 | addoval 0 0 0.5 0.5 "green" false
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| 345 | x = ${hpkrec2.xmax} / 2.
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| 346 | addoval 0 0 $x $x "green" false
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| 347 | x = ${hpkrec2.ymax} / 2.
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| 348 | addoval 0 0 $x $x "green" false
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| 349 |
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| 350 | # proj selon kT (black), selon kZ (red)
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| 351 | n/plot hpkrec2.val%sqrt(x*x+y*y) ! ! "nsta crossmarker3 logx"
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| 352 |
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| 353 | # les matrices 2D
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| 354 | set n 0
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| 355 | disp mx_$n
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| 356 | newwin
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| 357 | disp mxc_$n
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| 358 | */
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