#include "sopnamsp.h" #include "machdefs.h" #include #include #include #include "perrors.h" #include "fioarr.h" #include "hist2err.h" /*! \class SOPHYA::Histo2DErr \ingroup HiStats Classe d'histogrammes 1D avec erreurs donnees par l'utilisateur */ /********* Methode *********/ /*! Constructeur par defaut */ Histo2DErr::Histo2DErr(void) : xmin_(1.), xmax_(-1.), nx_(0), dx_(0.) , ymin_(1.), ymax_(-1.), ny_(0), dy_(0.) , mCorrel(0) { } /********* Methode *********/ /*! Constructeur d'un histo */ Histo2DErr::Histo2DErr(r_8 xmin,r_8 xmax,int_4 nx,r_8 ymin,r_8 ymax,int_4 ny) { CreateOrResize(xmin,xmax,nx,ymin,ymax,ny); } /********* Methode *********/ /*! Constructeur par copie */ Histo2DErr::Histo2DErr(const Histo2DErr& H) : mCorrel(0) { if(H.nx_<=0 || H.ny_<=0) return; CreateOrResize(H.xmin_,H.xmax_,H.nx_,H.ymin_,H.ymax_,H.ny_); data_ = H.data_; err2_ = H.err2_; ndata_ = H.ndata_; mCorrel = H.mCorrel; } /********* Methode *********/ /*! Destructeur */ Histo2DErr::~Histo2DErr(void) { mCorrel = 0; } /********* Methode *********/ /*! Gestion de l'allocation */ void Histo2DErr::CreateOrResize(r_8 xmin,r_8 xmax,int_4 nx,r_8 ymin,r_8 ymax,int_4 ny) { xmin_ = xmin; xmax_ = xmax; nx_ = nx; dx_=0.; ymin_ = ymin; ymax_ = ymax; ny_ = ny; dy_=0.; if(nx_>0 && ny_>0) { data_.ReSize(nx_,ny_); data_ = 0.; err2_.ReSize(nx_,ny_); err2_ = 0.; ndata_.ReSize(nx_,ny_); ndata_ = 0.; dx_ = (xmax_-xmin_)/nx_; dy_ = (ymax_-ymin_)/ny_; } mCorrel = 0; } /********* Methode *********/ /*! Remise a zero */ void Histo2DErr::Zero(void) { if(nx_<=0 || ny_<=0) return; data_ = 0.; err2_ = 0.; ndata_ = 0.; } /********* Methode *********/ /*! Recompute XMin (YMin) and XMax (YMax) so that the CENTER of the first bin is exactly XMin (YMin) and the CENTER of the last bin is exactly XMax (YMax). Remember that otherwise XMin (YMin) is the beginning of the first bin and XMax (YMax) is the end of the last bin */ void Histo2DErr::ReCenterBinX(void) { if(nx_<=1) return; double dx = (xmax_-xmin_)/(nx_-1); xmin_ -= dx/2.; xmax_ += dx/2.; dx_ = (xmax_-xmin_)/nx_; } void Histo2DErr::ReCenterBinY(void) { if(ny_<=1) return; double dy = (ymax_-ymin_)/(ny_-1); ymin_ -= dy/2.; ymax_ += dy/2.; dy_ = (ymax_-ymin_)/ny_; } void Histo2DErr::ReCenterBin(void) { ReCenterBinX(); ReCenterBinY(); } /********* Methode *********/ /*! Compute the correlation histogram. Each bin content is divided by the number of entries in that bin. Each squared error is divided by the number of entries in that bin. The number of entries by bin is NOT set to 1 (calling ToCorrel many time will change the histogram !) */ void Histo2DErr::ToCorrel(void) { if(nx_<1 || ny_<1) return; mCorrel++; for(int_4 i=0;i=ny_ || ii<0 || ii>=nx_) continue; data_(ii,jj) += hfrom.data_(ii,jj); err2_(ii,jj) += hfrom.err2_(ii,jj); ndata_(ii,jj) += hfrom.ndata_(ii,jj); } } mCorrel = hfrom.mCorrel; } /********* Methode *********/ /*! Operateur egal Histo2DErr = Histo2DErr */ Histo2DErr& Histo2DErr::operator = (const Histo2DErr& h) { if(this==&h) return *this; CreateOrResize(h.xmin_,h.xmax_,h.nx_,h.ymin_,h.ymax_,h.ny_); data_ = h.data_; err2_ = h.err2_; ndata_ = h.ndata_; mCorrel = h.mCorrel; return *this; } /********* Methode *********/ /*! Operateur de multiplication par une constante */ Histo2DErr& Histo2DErr::operator *= (r_8 b) { r_8 b2 = b*b; for(int_4 i=0;imCorrel); // Ecriture des parametres Histo2DErr os.Put(dobj->xmin_); os.Put(dobj->xmax_); os.Put(dobj->nx_); os.Put(dobj->dx_); os.Put(dobj->ymin_); os.Put(dobj->ymax_); os.Put(dobj->ny_); os.Put(dobj->dy_); // Ecriture des donnees if(dobj->nx_>0 && dobj->ny_>0) { os << dobj->data_; os << dobj->err2_; os << dobj->ndata_; } return; } #ifdef __CXX_PRAGMA_TEMPLATES__ #pragma define_template ObjFileIO #endif #if defined(ANSI_TEMPLATES) || defined(GNU_TEMPLATES) template class SOPHYA::ObjFileIO; #endif