| 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 | #include "timing.h"
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| 10 | #include "histerr.h"
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| 11 | #include "hist2err.h"
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| 12 | #include "fitshisterr.h"
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| 13 |
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| 14 | int ObjectType(string nameh,string nameppf);
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| 15 | int ConcatHistoErr(string nameh,vector<string> ppfname,int wrtyp=2,bool do_cov=false);
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| 16 | int ConcatHisto2DErr(string nameh,vector<string> ppfname,int wrtyp=2,int ibinkt=-1,int ibinkz=-1);
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| 17 | void usage(void);
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| 18 | void usage(void)
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| 19 | {
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| 20 | cout
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| 21 | <<"cmvconcherr -w wtyp -n name_histoerr file1.ppf file2.ppf ..."<<endl
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| 22 | <<" name_histoerr: object name"<<endl
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| 23 | <<" wtyp: bit0 write ASCII, bit1 write PPF, bit2 write FITS (all=7)"<<endl
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| 24 | <<" -C : compute covariance for 1D spectrum"<<endl
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| 25 | <<" -Z ibinKt : compute covariance of line Pk(ibinKt,.) along Kz for 2D"<<endl
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| 26 | <<" -T ibinKz : compute covariance of line Pk(.,ibinKz) along Kt for 2D"<<endl
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| 27 | <<endl;
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| 28 | }
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| 29 |
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| 30 |
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| 31 | //---------------------------------------------------------------
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| 32 | int main(int narg,char *arg[])
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| 33 | {
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| 34 | // "hpkgen" "hpkgenf" "hpkrec" "hpkgen2" "hpkgenf2" "hpkrec2"
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| 35 | string nameh = "";
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| 36 | vector<string> ppfname;
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| 37 | int Write_Type = 2;
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| 38 | bool Do_Cov = false;
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| 39 | int ibinKt=-1, ibinKz=-1;
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| 40 |
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| 41 | // --- Decodage arguments
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| 42 | char c;
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| 43 | while((c = getopt(narg,arg,"hCn:w:Z:T:")) != -1) {
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| 44 | switch (c) {
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| 45 | case 'n' :
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| 46 | nameh = optarg;
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| 47 | break;
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| 48 | case 'w' :
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| 49 | sscanf(optarg,"%d",&Write_Type);
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| 50 | break;
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| 51 | case 'C' :
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| 52 | Do_Cov = true;
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| 53 | break;
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| 54 | case 'Z' :
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| 55 | sscanf(optarg,"%d",&ibinKt);
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| 56 | break;
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| 57 | case 'T' :
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| 58 | sscanf(optarg,"%d",&ibinKz);
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| 59 | break;
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| 60 | case 'h' :
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| 61 | default :
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| 62 | usage(); return -1;
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| 63 | }
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| 64 | }
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| 65 | if(nameh.size()<=0 || optind>=narg) {usage(); return -1;}
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| 66 | for (int i=optind;i<narg;i++) ppfname.push_back(arg[i]);
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| 67 | cout<<"nameh = "<<nameh
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| 68 | <<" , number of file to be read = "<<ppfname.size()
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| 69 | <<" , write_type="<<Write_Type<<" , cov="<<Do_Cov<<endl;
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| 70 |
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| 71 | // --- Quel type d'objet ?
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| 72 | int obtyp = ObjectType(nameh,ppfname[0]);
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| 73 |
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| 74 | // --- lecture et moyenne des HistoErr ou Histo2DErr
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| 75 | int nread=0;
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| 76 | if(obtyp==1) nread = ConcatHistoErr(nameh,ppfname,Write_Type,Do_Cov);
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| 77 | else if(obtyp==2) nread = ConcatHisto2DErr(nameh,ppfname,Write_Type,ibinKt,ibinKz);
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| 78 | else {
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| 79 | cout<<"Type of object "<<nameh<<" not decoded"<<endl;
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| 80 | return -1;
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| 81 | }
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| 82 | cout<<"Number of file read: "<<nread<<endl;
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| 83 | return 0;
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| 84 | }
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| 85 |
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| 86 | //---------------------------------------------------------------
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| 87 | int ObjectType(string nameh,string nameppf)
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| 88 | // retourne: 1 si HistoErr
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| 89 | // 2 si Histo2DErr,
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| 90 | // 0 si autre objet
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| 91 | // -1 si il n'y a pas d'objet de nom "nameh"
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| 92 | {
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| 93 | PInPersist pis(nameppf.c_str());
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| 94 |
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| 95 | bool found_tag = pis.GotoNameTag(nameh.c_str());
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| 96 | if(!found_tag) return -1;
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| 97 |
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| 98 | PPersist *pps = pis.ReadObject();
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| 99 | AnyDataObj *obj = pps->DataObj();
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| 100 | cout<<"Object type read from input PPF file : "<<typeid(*obj).name()<< endl;
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| 101 |
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| 102 | HistoErr *herr = dynamic_cast<HistoErr *>(obj);
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| 103 | if(herr) return 1;
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| 104 |
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| 105 | Histo2DErr *herr2 = dynamic_cast<Histo2DErr *>(obj);
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| 106 | if(herr2) return 2;
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| 107 |
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| 108 | return 0;
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| 109 | }
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| 110 |
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| 111 | //---------------------------------------------------------------
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| 112 | int ConcatHistoErr(string nameh,vector<string> ppfname,int wrtyp,bool do_cov)
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| 113 | {
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| 114 | if(ppfname.size()<=0) return 0;
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| 115 |
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| 116 | HistoErr *herrconc = NULL;
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| 117 | TVector<r_8> Tsum; TMatrix<r_8> Tsum2;
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| 118 | int nherr=0, nread=0, itest=0;
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| 119 | double sum=0., sum2=0., nsum=0;
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| 120 | for (unsigned int ifile=0;ifile<ppfname.size();ifile++) {
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| 121 | PInPersist pis(ppfname[ifile].c_str());
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| 122 | HistoErr herr;
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| 123 | pis.GetObject(herr,nameh);
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| 124 | cout<<ifile<<" : "<<ppfname[ifile]<<" nbin="<<herr.NBins()<<endl;
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| 125 |
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| 126 | if(ifile==0) {
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| 127 | herrconc = new HistoErr(herr.XMin(),herr.XMax(),herr.NBins());
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| 128 | nherr = herr.NBins();
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| 129 | itest = int(herrconc->NBins()/5.+0.5);
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| 130 | if(do_cov) {Tsum.ReSize(nherr); Tsum=0.; Tsum2.ReSize(nherr,nherr); Tsum2=0.;}
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| 131 | } else if(nherr!=herr.NBins()) {
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| 132 | cout<<"BAD NUMBER OF BINS"<<endl;
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| 133 | continue;
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| 134 | }
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| 135 |
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| 136 | if(herr.NMean()!=1) cout<<"ATTENTION: file="<<ppfname[ifile]
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| 137 | <<" nmean="<<herr.NMean()<<endl;
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| 138 | nread++;
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| 139 | for(int i=0;i<nherr;i++) herrconc->AddBin(i,herr(i));
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| 140 | sum+=herr(itest); sum2+=herr(itest)*herr(itest); nsum++;
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| 141 |
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| 142 | if(do_cov) {
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| 143 | for(int i=0;i<nherr;i++) {
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| 144 | Tsum(i) += herr(i);
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| 145 | for(int j=0;j<nherr;j++) Tsum2(i,j) += herr(i)*herr(j);
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| 146 | }
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| 147 | }
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| 148 |
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| 149 | }
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| 150 | herrconc->ToVariance();
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| 151 | if(nsum>0) {sum/=nsum; sum2/=nsum; sum2-=sum*sum;}
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| 152 | cout<<"Test bin "<<itest<<" mean="<<sum<<" sigma^2="<<sum2<<" nsum="<<nsum<<endl;
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| 153 | cout<<" "<<" mean="<<(*herrconc)(itest)
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| 154 | <<" sigma^2="<<herrconc->Error2(itest)<<endl;
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| 155 |
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| 156 | // --- Covariance
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| 157 | if(do_cov && nread>1) {
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| 158 | Tsum /= nread;
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| 159 | Tsum2 /= nread;
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| 160 | for(int i=0;i<nherr;i++)
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| 161 | for(int j=0;j<nherr;j++) Tsum2(i,j) -= Tsum(i)*Tsum(j);
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| 162 | }
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| 163 |
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| 164 | // --- ecriture
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| 165 | if(wrtyp&1) { // ecriture ASCII
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| 166 | string asname = "cmvconcherr.data";
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| 167 | herrconc->WriteASCII(asname);
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| 168 | }
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| 169 | if(wrtyp&2 || do_cov) { // ecriture PPF
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| 170 | string tagobs = "cmvconcherr.ppf";
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| 171 | POutPersist posobs(tagobs);
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| 172 | tagobs = "herrconc"; posobs.PutObject(*herrconc,tagobs);
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| 173 | if(do_cov) {
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| 174 | tagobs = "mean"; posobs.PutObject(Tsum,tagobs);
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| 175 | tagobs = "cov"; posobs.PutObject(Tsum2,tagobs);
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| 176 | }
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| 177 | }
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| 178 | if(wrtyp&4) { // ecriture FITS
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| 179 | FitsInOutFile fio("!cmvconcherr.fits",FitsInOutFile::Fits_Create);
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| 180 | fio << *herrconc;
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| 181 | }
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| 182 |
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| 183 | delete herrconc;
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| 184 |
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| 185 | return nread;
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| 186 | }
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| 187 |
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| 188 | //---------------------------------------------------------------
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| 189 | int ConcatHisto2DErr(string nameh,vector<string> ppfname,int wrtyp,int ibinkt,int ibinkz)
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| 190 | {
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| 191 | if(ppfname.size()<=0) return 0;
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| 192 |
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| 193 | Histo2DErr *herrconc = NULL;
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| 194 | TVector<r_8> Tsum_kz; TMatrix<r_8> Tsum2_kz;
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| 195 | TVector<r_8> Tsum_kt; TMatrix<r_8> Tsum2_kt;
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| 196 | int nherrx=0, nherry=0, nread=0, itestx=0, itesty=0;
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| 197 | double sum=0., sum2=0., nsum=0;
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| 198 | for (unsigned int ifile=0;ifile<ppfname.size();ifile++) {
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| 199 | PInPersist pis(ppfname[ifile].c_str());
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| 200 | Histo2DErr herr;
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| 201 | pis.GetObject(herr,nameh);
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| 202 | cout<<ifile<<" : "<<ppfname[ifile]<<" nbin="
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| 203 | <<herr.NBinX()<<","<<herr.NBinY()<<endl;
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| 204 |
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| 205 | if(ifile==0) {
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| 206 | herrconc = new Histo2DErr(herr.XMin(),herr.XMax(),herr.NBinX()
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| 207 | ,herr.YMin(),herr.YMax(),herr.NBinY());
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| 208 | nherrx = herr.NBinX(); nherry = herr.NBinY();
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| 209 | itestx = int(herrconc->NBinX()/5.+0.5);
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| 210 | itesty = int(herrconc->NBinY()/5.+0.5);
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| 211 | if(ibinkt>=0) { // matrix de covariance pour une ligne Kz
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| 212 | if(ibinkt>=nherrx) ibinkt = nherrx-1;
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| 213 | Tsum_kz.ReSize(nherry); Tsum_kz=0.;
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| 214 | Tsum2_kz.ReSize(nherry,nherry); Tsum2_kz=0.;
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| 215 | }
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| 216 | if(ibinkz>=0) { // matrix de covariance pour une ligne Kt
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| 217 | if(ibinkz>=nherry) ibinkz = nherry-1;
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| 218 | Tsum_kt.ReSize(nherrx); Tsum_kt=0.;
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| 219 | Tsum2_kt.ReSize(nherrx,nherrx); Tsum2_kt=0.;
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| 220 | }
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| 221 | } else if(nherrx!=herr.NBinX() || nherry!=herr.NBinY()) {
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| 222 | cout<<"BAD NUMBER OF BINS"<<endl;
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| 223 | continue;
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| 224 | }
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| 225 |
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| 226 | if(herr.NMean()!=1) cout<<"ATTENTION: file="<<ppfname[ifile]
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| 227 | <<" nmean="<<herr.NMean()<<endl;
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| 228 | nread++;
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| 229 | for(int i=0;i<nherrx;i++)
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| 230 | for(int j=0;j<nherry;j++) herrconc->AddBin(i,j,herr(i,j));
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| 231 | sum+=herr(itestx,itesty); sum2+=herr(itestx,itesty)*herr(itestx,itesty); nsum++;
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| 232 |
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| 233 | if(ibinkt>=0) {
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| 234 | for(int i=0;i<Tsum_kz.Size();i++) {
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| 235 | Tsum_kz(i) += herr(ibinkt,i);
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| 236 | for(int j=0;j<Tsum_kz.Size();j++) Tsum2_kz(i,j) += herr(ibinkt,i)*herr(ibinkt,j);
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| 237 | }
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| 238 | }
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| 239 |
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| 240 | if(ibinkz>=0) {
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| 241 | for(int i=0;i<Tsum_kt.Size();i++) {
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| 242 | Tsum_kt(i) += herr(i,ibinkz);
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| 243 | for(int j=0;j<Tsum_kt.Size();j++) Tsum2_kt(i,j) += herr(i,ibinkz)*herr(j,ibinkz);
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| 244 | }
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| 245 | }
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| 246 |
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| 247 | }
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| 248 | herrconc->ToVariance();
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| 249 | if(nsum>0) {sum/=nsum; sum2/=nsum; sum2-=sum*sum;}
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| 250 | cout<<"Test bin "<<itestx<<","<<itesty
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| 251 | <<" mean="<<sum<<" sigma^2="<<sum2<<" nsum="<<nsum<<endl;
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| 252 | cout<<" "<<" mean="<<(*herrconc)(itestx,itesty)
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| 253 | <<" sigma^2="<<herrconc->Error2(itestx,itesty)<<endl;
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| 254 |
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| 255 | // --- Covariance
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| 256 | if(ibinkt>=0 && nread>1) {
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| 257 | Tsum_kz /= nread;
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| 258 | Tsum2_kz /= nread;
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| 259 | for(int i=0;i<Tsum_kz.Size();i++)
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| 260 | for(int j=0;j<Tsum_kz.Size();j++) Tsum2_kz(i,j) -= Tsum_kz(i)*Tsum_kz(j);
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| 261 | }
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| 262 | if(ibinkz>=0 && nread>1) {
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| 263 | Tsum_kt /= nread;
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| 264 | Tsum2_kt /= nread;
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| 265 | for(int i=0;i<Tsum_kt.Size();i++)
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| 266 | for(int j=0;j<Tsum_kt.Size();j++) Tsum2_kt(i,j) -= Tsum_kt(i)*Tsum_kt(j);
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| 267 | }
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| 268 |
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| 269 | // --- ecriture
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| 270 | if(wrtyp&1) { // ecriture ASCII
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| 271 | string asname = "cmvconcherr2.data";
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| 272 | herrconc->WriteASCII(asname);
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| 273 | }
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| 274 | if(wrtyp&2) { // ecriture PPF
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| 275 | string tagobs = "cmvconcherr2.ppf";
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| 276 | POutPersist posobs(tagobs);
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| 277 | tagobs = "herrconc2"; posobs.PutObject(*herrconc,tagobs);
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| 278 | if(ibinkt>=0) {
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| 279 | char str[32];
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| 280 | sprintf(str,"kzm%d",ibinkt);
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| 281 | posobs.PutObject(Tsum_kz,str);
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| 282 | sprintf(str,"kzc%d",ibinkt);
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| 283 | posobs.PutObject(Tsum2_kz,str);
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| 284 | }
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| 285 | if(ibinkz>=0) {
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| 286 | char str[32];
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| 287 | sprintf(str,"ktm%d",ibinkz);
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| 288 | posobs.PutObject(Tsum_kt,str);
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| 289 | sprintf(str,"ktc%d",ibinkz);
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| 290 | posobs.PutObject(Tsum2_kt,str);
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| 291 | }
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| 292 | }
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| 293 | if(wrtyp&4) { // ecriture FITS
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| 294 | FitsInOutFile fio("!cmvconcherr2.fits",FitsInOutFile::Fits_Create);
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| 295 | fio << *herrconc;
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| 296 | }
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| 297 |
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| 298 | delete herrconc;
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| 299 |
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| 300 | return nread;
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| 301 | }
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| 302 |
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| 303 | /*
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| 304 | ####
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| 305 | #### HistoErr 1D
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| 306 | ####
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| 307 | openppf cmvconcherr.ppf
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| 308 |
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| 309 | zone 2 2
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| 310 | disp herrconc "hbincont err"
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| 311 | disp herrconc "hbinerr"
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| 312 | disp herrconc "hbinent"
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| 313 |
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| 314 | zone
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| 315 | n/plot herrconc.val%log10(x) x>0 ! "connectpoints"
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| 316 | n/plot herrconc.val-sqrt(err2)%log10(x) x>0&&err2>0 ! "connectpoints same red"
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| 317 | n/plot herrconc.val+sqrt(err2)%log10(x) x>0&&err2>0 ! "connectpoints same red"
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| 318 |
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| 319 | n/plot herrconc.sqrt(err2)%log10(x) x>0&&err2>0 ! "connectpoints same red"
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| 320 | n/plot herrconc.sqrt(err2)/val%log10(x) x>0&&err2>0&&val>0 ! "connectpoints"
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| 321 |
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| 322 | disp mean
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| 323 | imag cov
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| 324 |
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| 325 | del cor
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| 326 | c++exec \
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| 327 | TMatrix<r_8> cor(cov,false); cor = 0.; \
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| 328 | for(int i=0;i<cor.NRows();i++) { \
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| 329 | for(int j=0;j<cor.NCols();j++) { \
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| 330 | double v = cov(i,i)*cov(j,j); \
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| 331 | if(v<=0.) continue; \
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| 332 | cor(i,j) = cov(i,j)/sqrt(v); \
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| 333 | } } \
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| 334 | KeepObj(cor); \
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| 335 | cout<<"Matrice cor cree "<<endl;
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| 336 |
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| 337 | imag cor
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| 338 | n/plot cor.val%c r==500 ! "connectpoints"
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| 339 |
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| 340 | ####
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| 341 | #### Histo2DErr 2D
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| 342 | ####
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| 343 | openppf cmvconcherr2.ppf
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| 344 |
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| 345 | zone 2 2
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| 346 | imag herrconc2 "hbincont"
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| 347 | imag herrconc2 "hbinerr"
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| 348 | imag herrconc2 "hbinent"
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| 349 |
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| 350 | zone
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| 351 |
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| 352 | set mean kzm140
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| 353 | set cov kzc140
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| 354 |
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| 355 | set mean ktm32
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| 356 | set cov ktc32
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| 357 |
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| 358 | n/plot $mean.val%n ! ! "connectpoints"
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| 359 | disp $cov
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| 360 | n/plot $cov.val%c r==32 ! "connectpoints"
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| 361 |
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| 362 | set cor ${cov}cor
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| 363 | del $cor
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| 364 | c++exec \
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| 365 | TMatrix<r_8> $cor($cov,false); $cor = 0.; \
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| 366 | for(int i=0;i<$cor.NRows();i++) { \
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| 367 | for(int j=0;j<$cor.NCols();j++) { \
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| 368 | double v = $cov(i,i)*$cov(j,j); \
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| 369 | if(v<=0.) continue; \
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| 370 | $cor(i,j) = $cov(i,j)/sqrt(v); \
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| 371 | } } \
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| 372 | KeepObj($cor); \
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| 373 | cout<<"Matrice cor cree "<<endl;
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| 374 |
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| 375 | disp $cor
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| 376 | n/plot $cor.val%c r==32 ! "connectpoints"
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| 377 | */
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