| 1 | /*  ------------------------ Projet BAORadio -------------------- 
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| 2 |     Classe  ForegroundCleaner
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| 3 |     R. Ansari , C. Magneville - Juin 2010 
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| 4 | ---------------------------------------------------------------  */
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| 5 | 
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| 6 | #include "fgndsub.h"
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| 7 | #include "lobe.h"
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| 8 | 
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| 9 | #include "cubedef.h"
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| 10 | #include "matharr.h"
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| 11 | 
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| 12 | #include "ctimer.h"
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| 13 | 
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| 14 | /* --Methode-- */
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| 15 | ForegroundCleaner::ForegroundCleaner(Four2DResponse& arrep, Four2DResponse& tbeam, TArray< TF >& skycube)
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| 16 |   : arrep_(arrep) , tbeam_(tbeam), skycube_(skycube)
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| 17 | {
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| 18 |   double dxdeg = ThetaSizeDegre/(double)NTheta;
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| 19 |   double dydeg = PhiSizeDegre/(double)NPhi;
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| 20 |   dx_ = DegreeToRadian(dxdeg);
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| 21 |   dy_ = DegreeToRadian(dydeg);
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| 22 |   freq0_ = Freq0MHz;
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| 23 |   dfreq_ = FreqSizeMHz/(double)NFreq;
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| 24 |   cout << " ForegroundCleaner: " << " dx=" << dxdeg << " dy=" << dydeg << " degres ( dx_rad=" << dx_ << " dy_rad=" << dy_ << ")" 
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| 25 |        << " Freq0=" << freq0_ << " deltaFreq=" << dfreq_ << " MHz" << endl;
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| 26 |   skycube.Show();
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| 27 | }
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| 28 | 
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| 29 | /* --Methode-- */
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| 30 | void ForegroundCleaner::BeamCorrections()
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| 31 | {
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| 32 |   BeamEffect beam(arrep_);
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| 33 |   beam.Correct2RefLobe(tbeam_, skycube_, dx_, dy_, freq0_, dfreq_);
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| 34 |   cout << " ForegroundCleaner::BeamCorrections() done " << endl;
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| 35 | }
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| 36 | 
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| 37 | /* --Methode-- */
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| 38 | int ForegroundCleaner::CleanNegatives(TF seuil)
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| 39 | {
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| 40 |   sa_size_t nneg = 0.;
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| 41 |   for(sa_size_t kz=0; kz<skycube_.SizeZ(); kz++) 
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| 42 |     for(sa_size_t ky=0; ky<skycube_.SizeY(); ky++) 
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| 43 |       for(sa_size_t kx=0; kx<skycube_.SizeX(); kx++) 
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| 44 |         if (skycube_(kx, ky, kz) < seuil)  {
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| 45 |           nneg++; skycube_(kx, ky, kz)=seuil;
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| 46 |         }
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| 47 |   cout << " ForegroundCleaner::CleanNegatives " << nneg << " sky-pixels <" << seuil << " changed to" << seuil << endl;
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| 48 |   return (int)nneg;
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| 49 | }
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| 50 | 
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| 51 | /* --Methode-- */
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| 52 | int ForegroundCleaner::CleanPointSources(double nsigmas)
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| 53 | {
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| 54 |   Timer tm("ForegroundCleaner::CleanPointSources");
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| 55 |   TArray< TF > sky2d(skycube_.SizeX(), skycube_.SizeY());
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| 56 |   for(sa_size_t ky=0; ky<sky2d.SizeY(); ky++) 
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| 57 |     for(sa_size_t kx=0; kx<sky2d.SizeX(); kx++) 
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| 58 |       sky2d(kx, ky) = skycube_(Range(kx), Range(ky), Range::all()).Sum();
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| 59 | 
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| 60 | 
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| 61 |   double mean, sigma;
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| 62 |   
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| 63 | 
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| 64 |   TArray< TF > amz(1,1,skycube_.SizeZ()), asz(1,1,skycube_.SizeZ());
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| 65 |   for(sa_size_t kz=0; kz<skycube_.SizeZ(); kz++)  {
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| 66 |     TArray< TF > slice = skycube_(Range::all() , Range::all(), Range(kz));
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| 67 |     MeanSigma(slice, mean, sigma);
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| 68 |     amz(0,0,kz)=mean;  asz(0,0,kz)=sigma; 
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| 69 |   }
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| 70 | 
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| 71 |   MeanSigma(sky2d, mean, sigma);
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| 72 |   cout << " ForegroundCleaner::CleanPointSources 2D Sky projection, mean=" << mean << " sigma=" << sigma << endl;  
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| 73 |   
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| 74 |   TF seuil = (TF)(mean+nsigmas*sigma);
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| 75 |   
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| 76 |   sa_size_t srccnt=0;
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| 77 |   for(sa_size_t ky=0; ky<skycube_.SizeY(); ky++) 
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| 78 |     for(sa_size_t kx=0; kx<skycube_.SizeX(); kx++) {
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| 79 |       if (sky2d(kx,ky)>seuil) {
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| 80 |         srccnt++; 
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| 81 |         skycube_(Range(kx), Range(ky), Range::all()) = amz;
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| 82 |       }
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| 83 |     }
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| 84 |   
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| 85 |   cout << " Cleaned NSrc= " << srccnt << " 2D source/pixels (TotNPix=" << sky2d.Size() 
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| 86 |        << ")-> " << 100.*srccnt/sky2d.Size() <<  "% with S>" << seuil << " NSigmas=" << nsigmas << endl;
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| 87 |   return (int)srccnt;
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| 88 | }
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| 89 | 
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| 90 | 
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| 91 | /* --Methode-- */
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| 92 | TArray< TF >  ForegroundCleaner::extractLSSCube(TArray< TF >& synctemp, TArray< TF >& specidx)
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| 93 | {
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| 94 |   Timer tm("ForegroundCleaner::extractLSSCube");
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| 95 | // Inputs : maplss, mapsyc, freq0, dfreq
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| 96 | // Outputs : synctemp, specidx  (reconstructed foreground temperature and spectral index
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| 97 | // Return_Array : foreground subtracted LSS signal 
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| 98 |   sa_size_t sz[5];   sz[0]=skycube_.SizeX();  sz[1]=skycube_.SizeY();
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| 99 |   synctemp.SetSize(2, sz); 
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| 100 |   specidx.SetSize(2, sz);
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| 101 |   TArray<r_4> omap; 
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| 102 |   omap.SetSize(skycube_, true);
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| 103 |   Vector vlnf(skycube_.SizeZ());
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| 104 |   int nprt = 0;
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| 105 |   // double freq0 : Frequence premier index en k (MHz)
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| 106 |   // double dfreq :   // largeur en frequence de chaque plan (Mhz)  
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| 107 |   for(sa_size_t k=0; k<skycube_.SizeZ(); k++)  
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| 108 |     vlnf(k)=log((double)k*dfreq_+freq0_);
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| 109 | 
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| 110 |   sa_size_t nbinfini=0;
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| 111 |   sa_size_t nbbad=0;
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| 112 |   sa_size_t imodprt=skycube_.SizeX()/6;
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| 113 |   sa_size_t jmodprt=skycube_.SizeY()/6;
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| 114 |   for(sa_size_t i=0; i<skycube_.SizeX(); i++) 
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| 115 |     for(sa_size_t j=0; j<skycube_.SizeY(); j++)  {
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| 116 |       r_8 s1, sx, sx2, sy, sxy;
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| 117 |       s1=sx=sx2=sy=sxy=0.;
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| 118 |       for(sa_size_t k=0; k<skycube_.SizeZ(); k++)  {
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| 119 |         double lnf = vlnf(k);
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| 120 |         double ttot=(r_8)(skycube_(i,j,k));
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| 121 |         if (ttot < 1.e-5) continue;
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| 122 |         double lntt=log(ttot);
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| 123 |         s1+=1.;  sx+=lnf;  sx2+=(lnf*lnf);
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| 124 |         sy+=lntt;    sxy+=(lnf*lntt);
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| 125 |       }
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| 126 |       double beta = (sx*sxy-sx2*sy)/(sx*sx-s1*sx2);
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| 127 |       double alpha = (s1*sxy-sx*sy)/(s1*sx2-sx*sx);
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| 128 |       double T0 = exp(beta+alpha*vlnf(0));
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| 129 | 
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| 130 |       bool fgnan = false;
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| 131 |       if (!isfinite(alpha)||(!isfinite(beta))) {
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| 132 |         cout << "extractLSSCube[" << i << "," << j << "]/ Not finite alpha, beta - (mapsync="
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| 133 |              << skycube_(i,j,0) << " ... " << skycube_(i,j,skycube_.SizeZ()-1) << ")" << endl; 
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| 134 |         alpha=beta=-999.;
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| 135 |         fgnan = true;  nbinfini++;
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| 136 |       }
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| 137 |       else {
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| 138 |         double axp1 = beta+alpha*vlnf(0);
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| 139 |         double axp2 = beta+alpha*vlnf(vlnf.Size()-1);
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| 140 |         
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| 141 |         if ((axp1<-70.)||(axp1>70.)||(axp2<-70.)||(axp2>70.)) {
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| 142 |         cout << "extractLSSCube[" << i << "," << j << "] BAD alpha=" << alpha 
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| 143 |              << " beta=" << beta << " T0=" << T0 << " - (mapsync="
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| 144 |              << skycube_(i,j,0) << " ... " << skycube_(i,j,skycube_.SizeZ()-1) << ")" << endl; 
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| 145 |         fgnan = true;  nbbad++;
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| 146 |         }
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| 147 |       }
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| 148 |       if ((i%imodprt==0)&&(j%jmodprt==0)) 
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| 149 |         cout << "extractLSSCube[" << i << "," << j << "]: T0=" << T0 << " alpha=" << alpha 
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| 150 |              << " (mapsync=" << skycube_(i,j,0) << " ... " << skycube_(i,j,skycube_.SizeZ()-1) << ")" << endl; 
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| 151 |       synctemp(i,j) = T0;
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| 152 |       specidx(i,j) = alpha;
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| 153 |       if (fgnan) {
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| 154 |         for(sa_size_t k=0; k<skycube_.SizeZ(); k++)   omap(i,j,k) = 0.;
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| 155 |       }
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| 156 |       else {
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| 157 |         for(sa_size_t k=0; k<skycube_.SizeZ(); k++) {
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| 158 |           r_4 fittedtemp = (r_4)(exp(beta+alpha*vlnf(k)));
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| 159 |           omap(i,j,k) = skycube_(i,j,k)-fittedtemp;
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| 160 |         }
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| 161 |       }
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| 162 |     }
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| 163 |   cout << " ForegroundCleaner::extractLSSCube() - NbNan alpha/beta=" << nbinfini << " NbBAD =" << nbbad << endl;
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| 164 |   return omap;
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| 165 | }
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| 166 | 
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