// @(#)root/foam:$Id$ // Author: S. Jadach <mailto:Stanislaw.jadach@ifj.edu.pl>, P.Sawicki <mailto:Pawel.Sawicki@ifj.edu.pl> //______________________________________________________________________________ // // FOAM Version 1.02M // =================== // Authors: // S. Jadach and P.Sawicki // Institute of Nuclear Physics, Cracow, Poland // Stanislaw. Jadach@ifj.edu.pl, Pawel.Sawicki@ifj.edu.pl // // What is FOAM for? // ================= // * Suppose you want to generate randomly points (vectors) according to // an arbitrary probability distribution in n dimensions, // for which you supply your own subprogram. FOAM can do it for you! // Even if your distributions has quite strong peaks and is discontinuous! // * FOAM generates random points with weight one or with variable weight. // * FOAM is capable to integrate using efficient "adaptive" MC method. // (The distribution does not need to be normalized to one.) // How does it work? // ================= // FOAM is the simplified version of the multi-dimensional general purpose // Monte Carlo event generator (integrator) FOAM. // It creates hyper-rectangular "foam of cells", which is more dense around its peaks. // See the following 2-dim. example of the map of 1000 cells for doubly peaked distribution: //BEGIN_HTML <!-- /* --> <img src="gif/foam_MapCamel1000.gif"> <!--*/ // -->END_HTML // FOAM is now fully integrated with the ROOT package. // The important bonus of the ROOT use is persistency of the FOAM objects! // // For more sophisticated problems full version of FOAM may be more appropriate: //BEGIN_HTML <!-- /* --> See <A HREF="http://jadach.home.cern.ch/jadach/Foam/Index.html"> full version of FOAM</A> <!--*/ // -->END_HTML // Simple example of the use of FOAM: // ================================== // Int_t kanwa(){ // gSystem->Load("libFoam"); // TH2D *hst_xy = new TH2D("hst_xy" , "x-y plot", 50,0,1.0, 50,0,1.0); // Double_t *MCvect =new Double_t[2]; // 2-dim vector generated in the MC run // TRandom3 *PseRan = new TRandom3(); // Create random number generator // PseRan->SetSeed(4357); // Set seed // TFoam *FoamX = new TFoam("FoamX"); // Create Simulator // FoamX->SetkDim(2); // No. of dimensions, obligatory! // FoamX->SetnCells(500); // No. of cells, can be omitted, default=2000 // FoamX->SetRhoInt(Camel2); // Set 2-dim distribution, included below // FoamX->SetPseRan(PseRan); // Set random number generator // FoamX->Initialize(); // Initialize simulator, takes a few seconds... // // From now on FoamX is ready to generate events according to Camel2(x,y) // for(Long_t loop=0; loop<100000; loop++){ // FoamX->MakeEvent(); // generate MC event // FoamX->GetMCvect( MCvect); // get generated vector (x,y) // Double_t x=MCvect[0]; // Double_t y=MCvect[1]; // if(loop<10) cout<<"(x,y) = ( "<< x <<", "<< y <<" )"<<endl; // hst_xy->Fill(x,y); // fill scattergram // }// loop // Double_t mcResult, mcError; // FoamX->GetIntegMC( mcResult, mcError); // get MC integral, should be one // cout << " mcResult= " << mcResult << " +- " << mcError <<endl; // // now hst_xy will be plotted visualizing generated distribution // TCanvas *cKanwa = new TCanvas("cKanwa","Canvas for plotting",600,600); // cKanwa->cd(); // hst_xy->Draw("lego2"); // }//kanwa // Double_t sqr(Double_t x){return x*x;}; // Double_t Camel2(Int_t nDim, Double_t *Xarg){ // // 2-dimensional distribution for FOAM, normalized to one (within 1e-5) // Double_t x=Xarg[0]; // Double_t y=Xarg[1]; // Double_t GamSq= sqr(0.100e0); // Double_t Dist=exp(-(sqr(x-1./3) +sqr(y-1./3))/GamSq)/GamSq/TMath::Pi(); // Dist +=exp(-(sqr(x-2./3) +sqr(y-2./3))/GamSq)/GamSq/TMath::Pi(); // return 0.5*Dist; // }// Camel2 // Two-dim. histogram of the MC points generated with the above program looks as follows: //BEGIN_HTML <!-- /* --> <img src="gif/foam_cKanwa.gif"> <!--*/ // -->END_HTML // Canonical nine steering parameters of FOAM // =========================================== //------------------------------------------------------------------------------ // Name | default | Description //------------------------------------------------------------------------------ // kDim | 0 | Dimension of the integration space. Must be redefined! // nCells | 1000 | No of allocated number of cells, // nSampl | 200 | No. of MC events in the cell MC exploration // nBin | 8 | No. of bins in edge-histogram in cell exploration // OptRej | 1 | OptRej = 0, weighted; OptRej=1, wt=1 MC events // OptDrive | 2 | Maximum weight reduction, =1 for variance reduction // EvPerBin | 25 | Maximum number of the effective wt=1 events/bin, // | | EvPerBin=0 deactivates this option // Chat | 1 | =0,1,2 is the ``chat level'' in the standard output // MaxWtRej | 1.1 | Maximum weight used to get w=1 MC events //------------------------------------------------------------------------------ // The above can be redefined before calling 'Initialize()' method, // for instance FoamObject->SetkDim(15) sets dimension of the distribution to 15. // Only kDim HAS TO BE redefined, the other parameters may be left at their defaults. // nCell may be increased up to about million cells for wildly peaked distributions. // Increasing nSampl sometimes helps, but it may cost CPU time. // MaxWtRej may need to be increased for wild a distribution, while using OptRej=0. // // -------------------------------------------------------------------- // Past versions of FOAM: August 2003, v.1.00; September 2003 v.1.01 // Adopted starting from FOAM-2.06 by P. Sawicki // -------------------------------------------------------------------- // Users of FOAM are kindly requested to cite the following work: // S. Jadach, Computer Physics Communications 152 (2003) 55. // //______________________________________________________________________________ #include "TFoam.h" #include "TFoamIntegrand.h" #include "TFoamMaxwt.h" #include "TFoamVect.h" #include "TFoamCell.h" #include "Riostream.h" #include "TH1.h" #include "TRefArray.h" #include "TMethodCall.h" #include "TRandom.h" #include "TMath.h" #include "TInterpreter.h" ClassImp(TFoam); //FFFFFF BoX-FORMATs for nice and flexible outputs #define BXOPE cout<<\ "FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF"<<endl<<\ "F F"<<endl #define BXTXT(text) cout<<\ "F "<<setw(40)<< text <<" F"<<endl #define BX1I(name,numb,text) cout<<\ "F "<<setw(10)<<name<<" = "<<setw(10)<<numb<<" = " <<setw(50)<<text<<" F"<<endl #define BX1F(name,numb,text) cout<<"F "<<setw(10)<<name<<\ " = "<<setw(15)<<setprecision(8)<<numb<<" = "<<setw(40)<<text<<" F"<<endl #define BX2F(name,numb,err,text) cout<<"F "<<setw(10)<<name<<\ " = "<<setw(15)<<setprecision(8)<<numb<<" +- "<<setw(15)<<setprecision(8)<<err<<\ " = "<<setw(25)<<text<<" F"<<endl #define BXCLO cout<<\ "F F"<<endl<<\ "FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF"<<endl //FFFFFF BoX-FORMATs ends here static const Double_t gHigh= 1.0e150; static const Double_t gVlow=-1.0e150; #define SW2 setprecision(7) << setw(12) // class to wrap a global function in a TFoamIntegrand function class FoamIntegrandFunction : public TFoamIntegrand { public: typedef Double_t (*FunctionPtr)(Int_t, Double_t*); FoamIntegrandFunction(FunctionPtr func) : fFunc(func) {} virtual ~FoamIntegrandFunction() {} // evaluate the density using the provided function pointer Double_t Density (Int_t nDim, Double_t * x) { return fFunc(nDim,x); } private: FunctionPtr fFunc; }; //________________________________________________________________________________________________ TFoam::TFoam() : fDim(0), fNCells(0), fRNmax(0), fOptDrive(0), fChat(0), fOptRej(0), fNBin(0), fNSampl(0), fEvPerBin(0), fMaskDiv(0), fInhiDiv(0), fOptPRD(0), fXdivPRD(0), fNoAct(0), fLastCe(0), fCells(0), fMCMonit(0), fMaxWtRej(0), fCellsAct(0), fPrimAcu(0), fHistEdg(0), fHistDbg(0), fHistWt(0), fMCvect(0), fMCwt(0), fRvec(0), fRho(0), fMethodCall(0), fPseRan(0), fNCalls(0), fNEffev(0), fSumWt(0), fSumWt2(0), fSumOve(0), fNevGen(0), fWtMax(0), fWtMin(0), fPrime(0), fMCresult(0), fMCerror(0), fAlpha(0) { // Default constructor for streamer, user should not use it. } //_________________________________________________________________________________________________ TFoam::TFoam(const Char_t* Name) : fDim(0), fNCells(0), fRNmax(0), fOptDrive(0), fChat(0), fOptRej(0), fNBin(0), fNSampl(0), fEvPerBin(0), fMaskDiv(0), fInhiDiv(0), fOptPRD(0), fXdivPRD(0), fNoAct(0), fLastCe(0), fCells(0), fMCMonit(0), fMaxWtRej(0), fCellsAct(0), fPrimAcu(0), fHistEdg(0), fHistDbg(0), fHistWt(0), fMCvect(0), fMCwt(0), fRvec(0), fRho(0), fMethodCall(0), fPseRan(0), fNCalls(0), fNEffev(0), fSumWt(0), fSumWt2(0), fSumOve(0), fNevGen(0), fWtMax(0), fWtMin(0), fPrime(0), fMCresult(0), fMCerror(0), fAlpha(0) { // User constructor, to be employed by the user if(strlen(Name) >129) { Error("TFoam","Name too long %s \n",Name); } fName=Name; // Class name fDate=" Release date: 2005.04.10"; // Release date fVersion= "1.02M"; // Release version fMaskDiv = 0; // Dynamic Mask for cell division, h-cubic fInhiDiv = 0; // Flag allowing to inhibit cell division in certain projection/edge fXdivPRD = 0; // Lists of division values encoded in one vector per direction fCells = 0; fAlpha = 0; fCellsAct = 0; fPrimAcu = 0; fHistEdg = 0; fHistWt = 0; fHistDbg = 0; fDim = 0; // dimension of hyp-cubical space fNCells = 1000; // Maximum number of Cells, is usually re-set fNSampl = 200; // No of sampling when dividing cell fOptPRD = 0; // General Option switch for PRedefined Division, for quick check fOptDrive = 2; // type of Drive =1,2 for TrueVol,Sigma,WtMax fChat = 1; // Chat=0,1,2 chat level in output, Chat=1 normal level fOptRej = 1; // OptRej=0, wted events; OptRej=1, wt=1 events //------------------------------------------------------ fNBin = 8; // binning of edge-histogram in cell exploration fEvPerBin =25; // maximum no. of EFFECTIVE event per bin, =0 option is inactive //------------------------------------------------------ fNCalls = 0; // No of function calls fNEffev = 0; // Total no of eff. wt=1 events in build=up fLastCe =-1; // Index of the last cell fNoAct = 0; // No of active cells (used in MC generation) fWtMin = gHigh; // Minimal weight fWtMax = gVlow; // Maximal weight fMaxWtRej =1.10; // Maximum weight in rejection for getting wt=1 events fPseRan = 0; // Initialize private copy of random number generator fMCMonit = 0; // MC efficiency monitoring fRho = 0; // pointer to abstract class providing function to integrate fMCvect = 0; fRvec = 0; fPseRan = 0; // generator of pseudorandom numbers fMethodCall=0; // ROOT's pointer to global distribution function } //_______________________________________________________________________________________________ TFoam::~TFoam() { // Default destructor // cout<<" DESTRUCTOR entered "<<endl; Int_t i; if(fCells!= 0) { for(i=0; i<fNCells; i++) delete fCells[i]; // TFoamCell*[] delete [] fCells; } if (fCellsAct) delete fCellsAct ; // WVE FIX LEAK if (fRvec) delete [] fRvec; //double[] if (fAlpha) delete [] fAlpha; //double[] if (fMCvect) delete [] fMCvect; //double[] if (fPrimAcu) delete [] fPrimAcu; //double[] if (fMaskDiv) delete [] fMaskDiv; //int[] if (fInhiDiv) delete [] fInhiDiv; //int[] if( fXdivPRD!= 0) { for(i=0; i<fDim; i++) delete fXdivPRD[i]; // TFoamVect*[] delete [] fXdivPRD; } if (fMCMonit) delete fMCMonit; if (fHistWt) delete fHistWt; // delete histogram arrays if (fHistEdg) { fHistEdg->Delete(); delete fHistEdg; } if (fHistDbg) { fHistDbg->Delete(); delete fHistDbg; } // delete function object if it has been created here in SetRhoInt if (fRho && dynamic_cast<FoamIntegrandFunction*>(fRho) ) delete fRho; } //_____________________________________________________________________________________________ TFoam::TFoam(const TFoam &From): TObject(From) { // Copy Constructor NOT IMPLEMENTED (NEVER USED) Error("TFoam", "COPY CONSTRUCTOR NOT IMPLEMENTED \n"); } //_____________________________________________________________________________________________ void TFoam::Initialize(TRandom *PseRan, TFoamIntegrand *fun ) { // Basic initialization of FOAM invoked by the user. Mandatory! // ============================================================ // This method starts the process of the cell build-up. // User must invoke Initialize with two arguments or Initialize without arguments. // This is done BEFORE generating first MC event and AFTER allocating FOAM object // and reseting (optionally) its internal parameters/switches. // The overall operational scheme of the FOAM is the following: //BEGIN_HTML <!-- /* --> <img src="gif/foam_schema2.gif"> <!--*/ // -->END_HTML // // This method invokes several other methods: // ========================================== // InitCells initializes memory storage for cells and begins exploration process // from the root cell. The empty cells are allocated/filled using CellFill. // The procedure Grow which loops over cells, picks up the cell with the biggest // ``driver integral'', see Comp. Phys. Commun. 152 152 (2003) 55 for explanations, // with the help of PeekMax procedure. The chosen cell is split using Divide. // Subsequently, the procedure Explore called by the Divide // (and by InitCells for the root cell) does the most important // job in the FOAM object build-up: it performs a small MC run for each // newly allocated daughter cell. // Explore calculates how profitable the future split of the cell will be // and defines the optimal cell division geometry with the help of Carver or Varedu // procedures, for maximum weight or variance optimization respectively. // All essential results of the exploration are written into // the explored cell object. At the very end of the foam build-up, // Finally, MakeActiveList is invoked to create a list of pointers to // all active cells, for the purpose of the quick access during the MC generation. // The procedure Explore employs MakeAlpha to generate random coordinates // inside a given cell with the uniform distribution. // The above sequence of the procedure calls is depicted in the following figure: //BEGIN_HTML <!-- /* --> <img src="gif/foam_Initialize_schema.gif"> <!--*/ // -->END_HTML SetPseRan(PseRan); SetRho(fun); Initialize(); } //_______________________________________________________________________________________ void TFoam::Initialize() { // Basic initialization of FOAM invoked by the user. // IMPORTANT: Random number generator and the distribution object has to be // provided using SetPseRan and SetRho prior to invoking this initializator! Bool_t addStatus = TH1::AddDirectoryStatus(); TH1::AddDirectory(kFALSE); Int_t i; if(fChat>0){ BXOPE; BXTXT("****************************************"); BXTXT("****** TFoam::Initialize ******"); BXTXT("****************************************"); BXTXT(fName); BX1F(" Version",fVersion, fDate); BX1I(" kDim",fDim, " Dimension of the hyper-cubical space "); BX1I(" nCells",fNCells, " Requested number of Cells (half of them active) "); BX1I(" nSampl",fNSampl, " No of MC events in exploration of a cell "); BX1I(" nBin",fNBin, " No of bins in histograms, MC exploration of cell "); BX1I(" EvPerBin",fEvPerBin, " Maximum No effective_events/bin, MC exploration "); BX1I(" OptDrive",fOptDrive, " Type of Driver =1,2 for Sigma,WtMax "); BX1I(" OptRej",fOptRej, " MC rejection on/off for OptRej=0,1 "); BX1F(" MaxWtRej",fMaxWtRej, " Maximum wt in rejection for wt=1 evts"); BXCLO; } if(fPseRan==0) Error("Initialize", "Random number generator not set \n"); if(fRho==0 && fMethodCall==0 ) Error("Initialize", "Distribution function not set \n"); if(fDim==0) Error("Initialize", "Zero dimension not allowed \n"); ///////////////////////////////////////////////////////////////////////// // ALLOCATE SMALL LISTS // // it is done globally, not for each cell, to save on allocation time // ///////////////////////////////////////////////////////////////////////// fRNmax= fDim+1; fRvec = new Double_t[fRNmax]; // Vector of random numbers if(fRvec==0) Error("Initialize", "Cannot initialize buffer fRvec \n"); if(fDim>0){ fAlpha = new Double_t[fDim]; // sum<1 for internal parametrization of the simplex if(fAlpha==0) Error("Initialize", "Cannot initialize buffer fAlpha \n" ); } fMCvect = new Double_t[fDim]; // vector generated in the MC run if(fMCvect==0) Error("Initialize", "Cannot initialize buffer fMCvect \n" ); //====== List of directions inhibited for division if(fInhiDiv == 0){ fInhiDiv = new Int_t[fDim]; for(i=0; i<fDim; i++) fInhiDiv[i]=0; } //====== Dynamic mask used in Explore for edge determination if(fMaskDiv == 0){ fMaskDiv = new Int_t[fDim]; for(i=0; i<fDim; i++) fMaskDiv[i]=1; } //====== List of predefined division values in all directions (initialized as empty) if(fXdivPRD == 0){ fXdivPRD = new TFoamVect*[fDim]; for(i=0; i<fDim; i++) fXdivPRD[i]=0; // Artificially extended beyond fDim } //====== Initialize list of histograms fHistWt = new TH1D("HistWt","Histogram of MC weight",100,0.0, 1.5*fMaxWtRej); // MC weight fHistEdg = new TObjArray(fDim); // Initialize list of histograms TString hname; TString htitle; for(i=0;i<fDim;i++){ hname=fName+TString("_HistEdge_"); hname+=i; htitle=TString("Edge Histogram No. "); htitle+=i; //cout<<"i= "<<i<<" hname= "<<hname<<" htitle= "<<htitle<<endl; (*fHistEdg)[i] = new TH1D(hname.Data(),htitle.Data(),fNBin,0.0, 1.0); // Initialize histogram for each edge ((TH1D*)(*fHistEdg)[i])->Sumw2(); } //====== extra histograms for debug purposes fHistDbg = new TObjArray(fDim); // Initialize list of histograms for(i=0;i<fDim;i++){ hname=fName+TString("_HistDebug_"); hname+=i; htitle=TString("Debug Histogram "); htitle+=i; (*fHistDbg)[i] = new TH1D(hname.Data(),htitle.Data(),fNBin,0.0, 1.0); // Initialize histogram for each edge } // ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| // // BUILD-UP of the FOAM // // ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| // // // Define and explore root cell(s) InitCells(); // PrintCells(); cout<<" ===== after InitCells ====="<<endl; Grow(); // PrintCells(); cout<<" ===== after Grow ====="<<endl; MakeActiveList(); // Final Preperations for the M.C. generation // Preperations for the M.C. generation fSumWt = 0.0; // M.C. generation sum of Wt fSumWt2 = 0.0; // M.C. generation sum of Wt**2 fSumOve = 0.0; // M.C. generation sum of overweighted fNevGen = 0.0; // M.C. generation sum of 1d0 fWtMax = gVlow; // M.C. generation maximum wt fWtMin = gHigh; // M.C. generation minimum wt fMCresult=fCells[0]->GetIntg(); // M.C. Value of INTEGRAL,temporary assignment fMCresult=fCells[0]->GetIntg(); // M.C. Value of INTEGRAL,temporary assignment fMCerror =fCells[0]->GetIntg(); // M.C. Value of ERROR ,temporary assignment fMCMonit = new TFoamMaxwt(5.0,1000); // monitoring M.C. efficiency // if(fChat>0){ Double_t driver = fCells[0]->GetDriv(); BXOPE; BXTXT("*** TFoam::Initialize FINISHED!!! ***"); BX1I(" nCalls",fNCalls, "Total number of function calls "); BX1F(" XPrime",fPrime, "Primary total integral "); BX1F(" XDiver",driver, "Driver total integral "); BX1F(" mcResult",fMCresult,"Estimate of the true MC Integral "); BXCLO; } if(fChat==2) PrintCells(); TH1::AddDirectory(addStatus); } // Initialize //_______________________________________________________________________________________ void TFoam::InitCells() { // Internal subprogram used by Initialize. // It initializes "root part" of the FOAM of the tree of cells. Int_t i; fLastCe =-1; // Index of the last cell if(fCells!= 0) { for(i=0; i<fNCells; i++) delete fCells[i]; delete [] fCells; } // fCells = new TFoamCell*[fNCells]; for(i=0;i<fNCells;i++){ fCells[i]= new TFoamCell(fDim); // Allocate BIG list of cells fCells[i]->SetSerial(i); } if(fCells==0) Error("InitCells", "Cannot initialize CELLS \n" ); ///////////////////////////////////////////////////////////////////////////// // Single Root Hypercube // ///////////////////////////////////////////////////////////////////////////// CellFill(1, 0); // 0-th cell ACTIVE // Exploration of the root cell(s) for(Long_t iCell=0; iCell<=fLastCe; iCell++){ Explore( fCells[iCell] ); // Exploration of root cell(s) } }//InitCells //_______________________________________________________________________________________ Int_t TFoam::CellFill(Int_t Status, TFoamCell *parent) { // Internal subprogram used by Initialize. // It initializes content of the newly allocated active cell. TFoamCell *cell; if (fLastCe==fNCells){ Error( "CellFill", "Too many cells\n"); } fLastCe++; // 0-th cell is the first if (Status==1) fNoAct++; cell = fCells[fLastCe]; cell->Fill(Status, parent, 0, 0); cell->SetBest( -1); // pointer for planning division of the cell cell->SetXdiv(0.5); // factor for division Double_t xInt2,xDri2; if(parent!=0){ xInt2 = 0.5*parent->GetIntg(); xDri2 = 0.5*parent->GetDriv(); cell->SetIntg(xInt2); cell->SetDriv(xDri2); }else{ cell->SetIntg(0.0); cell->SetDriv(0.0); } return fLastCe; } //______________________________________________________________________________________ void TFoam::Explore(TFoamCell *cell) { // Internal subprogram used by Initialize. // It explores newly defined cell with help of special short MC sampling. // As a result, estimates of true and drive volume is defined/determined // Average and dispersion of the weight distribution will is found along // each edge and the best edge (minimum dispersion, best maximum weight) // is memorized for future use. // The optimal division point for eventual future cell division is // determined/recorded. Recorded are also minimum and maximum weight etc. // The volume estimate in all (inactive) parent cells is updated. // Note that links to parents and initial volume = 1/2 parent has to be // already defined prior to calling this routine. Double_t wt, dx, xBest=0, yBest=0; Double_t intOld, driOld; Long_t iev; Double_t nevMC; Int_t i, j, k; Int_t nProj, kBest; Double_t ceSum[5], xproj; TFoamVect cellSize(fDim); TFoamVect cellPosi(fDim); cell->GetHcub(cellPosi,cellSize); TFoamCell *parent; Double_t *xRand = new Double_t[fDim]; Double_t *volPart=0; cell->CalcVolume(); dx = cell->GetVolume(); intOld = cell->GetIntg(); //memorize old values, driOld = cell->GetDriv(); //will be needed for correcting parent cells ///////////////////////////////////////////////////// // Special Short MC sampling to probe cell // ///////////////////////////////////////////////////// ceSum[0]=0; ceSum[1]=0; ceSum[2]=0; ceSum[3]=gHigh; //wtmin ceSum[4]=gVlow; //wtmax // for(i=0;i<fDim;i++) ((TH1D *)(*fHistEdg)[i])->Reset(); // Reset histograms fHistWt->Reset(); // // ||||||||||||||||||||||||||BEGIN MC LOOP||||||||||||||||||||||||||||| Double_t nevEff=0.; for(iev=0;iev<fNSampl;iev++){ MakeAlpha(); // generate uniformly vector inside hypercube if(fDim>0){ for(j=0; j<fDim; j++) xRand[j]= cellPosi[j] +fAlpha[j]*(cellSize[j]); } wt=dx*Eval(xRand); nProj = 0; if(fDim>0) { for(k=0; k<fDim; k++) { xproj =fAlpha[k]; ((TH1D *)(*fHistEdg)[nProj])->Fill(xproj,wt); nProj++; } } // fNCalls++; ceSum[0] += wt; // sum of weights ceSum[1] += wt*wt; // sum of weights squared ceSum[2]++; // sum of 1 if (ceSum[3]>wt) ceSum[3]=wt; // minimum weight; if (ceSum[4]<wt) ceSum[4]=wt; // maximum weight // test MC loop exit condition nevEff = ceSum[0]*ceSum[0]/ceSum[1]; if( nevEff >= fNBin*fEvPerBin) break; } // ||||||||||||||||||||||||||END MC LOOP||||||||||||||||||||||||||||| //------------------------------------------------------------------ //--- predefine logics of searching for the best division edge --- for(k=0; k<fDim;k++){ fMaskDiv[k] =1; // default is all if( fInhiDiv[k]==1) fMaskDiv[k] =0; // inhibit some... } // Note that predefined division below overrule inhibition above kBest=-1; Double_t rmin,rmax,rdiv; if(fOptPRD) { // quick check for(k=0; k<fDim; k++) { rmin= cellPosi[k]; rmax= cellPosi[k] +cellSize[k]; if( fXdivPRD[k] != 0) { Int_t n= (fXdivPRD[k])->GetDim(); for(j=0; j<n; j++) { rdiv=(*fXdivPRD[k])[j]; // check predefined divisions is available in this cell if( (rmin +1e-99 <rdiv) && (rdiv< rmax -1e-99)) { kBest=k; xBest= (rdiv-cellPosi[k])/cellSize[k] ; goto ee05; } } } }//k } ee05: //------------------------------------------------------------------ fNEffev += (Long_t)nevEff; nevMC = ceSum[2]; Double_t intTrue = ceSum[0]/(nevMC+0.000001); Double_t intDriv=0.; Double_t intPrim=0.; switch(fOptDrive){ case 1: // VARIANCE REDUCTION if(kBest == -1) Varedu(ceSum,kBest,xBest,yBest); // determine the best edge, //intDriv =sqrt( ceSum[1]/nevMC -intTrue*intTrue ); // Older ansatz, numerically not bad intDriv =sqrt(ceSum[1]/nevMC) -intTrue; // Foam build-up, sqrt(<w**2>) -<w> intPrim =sqrt(ceSum[1]/nevMC); // MC gen. sqrt(<w**2>) =sqrt(<w>**2 +sigma**2) break; case 2: // WTMAX REDUCTION if(kBest == -1) Carver(kBest,xBest,yBest); // determine the best edge intDriv =ceSum[4] -intTrue; // Foam build-up, wtmax-<w> intPrim =ceSum[4]; // MC generation, wtmax! break; default: Error("Explore", "Wrong fOptDrive = \n" ); }//switch //================================================================================= //hist_Neff_distrib.Fill( fLastCe/2.0+0.01, nevEff+0.01); // //hist_kBest_distrib.Fill( kBest+0.50, 1.0 ); // debug //hist_xBest_distrib.Fill( xBest+0.01, 1.0 ); // debug //================================================================================= cell->SetBest(kBest); cell->SetXdiv(xBest); cell->SetIntg(intTrue); cell->SetDriv(intDriv); cell->SetPrim(intPrim); // correct/update integrals in all parent cells to the top of the tree Double_t parIntg, parDriv; for(parent = cell->GetPare(); parent!=0; parent = parent->GetPare()){ parIntg = parent->GetIntg(); parDriv = parent->GetDriv(); parent->SetIntg( parIntg +intTrue -intOld ); parent->SetDriv( parDriv +intDriv -driOld ); } delete [] volPart; delete [] xRand; //cell->Print(); } // TFoam::Explore //______________________________________________________________________________________ void TFoam::Varedu(Double_t ceSum[5], Int_t &kBest, Double_t &xBest, Double_t &yBest) { // Internal subrogram used by Initialize. // In determines the best edge candidate and the position of the cell division plane // in case of the variance reduction for future cell division, // using results of the MC exploration run stored in fHistEdg Double_t nent = ceSum[2]; Double_t swAll = ceSum[0]; Double_t sswAll = ceSum[1]; Double_t ssw = sqrt(sswAll)/sqrt(nent); // Double_t swIn,swOut,sswIn,sswOut,xLo,xUp; kBest =-1; xBest =0.5; yBest =1.0; Double_t maxGain=0.0; // Now go over all projections kProj for(Int_t kProj=0; kProj<fDim; kProj++) { if( fMaskDiv[kProj]) { // initialize search over bins Double_t sigmIn =0.0; Double_t sigmOut =0.0; Double_t sswtBest = gHigh; Double_t gain =0.0; Double_t xMin=0.0; Double_t xMax=0.0; // Double loop over all pairs jLo<jUp for(Int_t jLo=1; jLo<=fNBin; jLo++) { Double_t aswIn=0; Double_t asswIn=0; for(Int_t jUp=jLo; jUp<=fNBin;jUp++) { aswIn += ((TH1D *)(*fHistEdg)[kProj])->GetBinContent(jUp); asswIn += Sqr(((TH1D *)(*fHistEdg)[kProj])->GetBinError( jUp)); xLo=(jLo-1.0)/fNBin; xUp=(jUp*1.0)/fNBin; swIn = aswIn/nent; swOut = (swAll-aswIn)/nent; sswIn = sqrt(asswIn) /sqrt(nent*(xUp-xLo)) *(xUp-xLo); sswOut= sqrt(sswAll-asswIn)/sqrt(nent*(1.0-xUp+xLo)) *(1.0-xUp+xLo); if( (sswIn+sswOut) < sswtBest) { sswtBest = sswIn+sswOut; gain = ssw-sswtBest; sigmIn = sswIn -swIn; // Debug sigmOut = sswOut-swOut; // Debug xMin = xLo; xMax = xUp; } }//jUp }//jLo Int_t iLo = (Int_t) (fNBin*xMin); Int_t iUp = (Int_t) (fNBin*xMax); //----------DEBUG printout //cout<<"@@@@@ xMin xMax = "<<xMin <<" "<<xMax<<" iLo= "<<iLo<<" iUp= "<<iUp; //cout<<" sswtBest/ssw= "<<sswtBest/ssw<<" Gain/ssw= "<< Gain/ssw<<endl; //----------DEBUG auxilary Plot for(Int_t iBin=1;iBin<=fNBin;iBin++) { if( ((iBin-0.5)/fNBin > xMin) && ((iBin-0.5)/fNBin < xMax) ){ ((TH1D *)(*fHistDbg)[kProj])->SetBinContent(iBin,sigmIn/(xMax-xMin)); } else { ((TH1D *)(*fHistDbg)[kProj])->SetBinContent(iBin,sigmOut/(1-xMax+xMin)); } } if(gain>=maxGain) { maxGain=gain; kBest=kProj; // <--- !!!!! The best edge xBest=xMin; yBest=xMax; if(iLo == 0) xBest=yBest; // The best division point if(iUp == fNBin) yBest=xBest; // this is not really used } } } //kProj //----------DEBUG printout //cout<<"@@@@@@@>>>>> kBest= "<<kBest<<" maxGain/ssw= "<< maxGain/ssw<<endl; if( (kBest >= fDim) || (kBest<0) ) Error("Varedu", "Something wrong with kBest \n" ); } //TFoam::Varedu //________________________________________________________________________________________ void TFoam::Carver(Int_t &kBest, Double_t &xBest, Double_t &yBest) { // Internal subrogram used by Initialize. // Determines the best edge-candidate and the position of the division plane // for the future cell division, in the case of the optimization of the maximum weight. // It exploits results of the cell MC exploration run stored in fHistEdg. Int_t kProj,iBin; Double_t carve,carvTot,carvMax,carvOne,binMax,binTot; Int_t jLow,jUp,iLow,iUp; Double_t theBin; // Int_t jDivi; // TEST Int_t j; Double_t *bins = new Double_t[fNBin]; // bins of histogram for single PROJECTION if(bins==0) Error("Carver", "Cannot initialize buffer Bins \n" ); kBest =-1; xBest =0.5; yBest =1.0; carvMax = gVlow; // primMax = gVlow; for(kProj=0; kProj<fDim; kProj++) if( fMaskDiv[kProj] ) { //if( kProj==1 ){ //cout<<"==================== Carver histogram: kProj ="<<kProj<<"==================="<<endl; //((TH1D *)(*fHistEdg)[kProj])->Print("all"); binMax = gVlow; for(iBin=0; iBin<fNBin;iBin++){ bins[iBin]= ((TH1D *)(*fHistEdg)[kProj])->GetBinContent(iBin+1); binMax = TMath::Max( binMax, bins[iBin]); // Maximum content/bin } if(binMax < 0 ) { //case of empty cell delete [] bins; return; } carvTot = 0.0; binTot = 0.0; for(iBin=0;iBin<fNBin;iBin++){ carvTot = carvTot + (binMax-bins[iBin]); // Total Carve (more stable) binTot +=bins[iBin]; } // primTot = binMax*fNBin; //cout <<"Carver: CarvTot "<<CarvTot<< " primTot "<<primTot<<endl; jLow =0; jUp =fNBin-1; carvOne = gVlow; Double_t yLevel = gVlow; for(iBin=0; iBin<fNBin;iBin++) { theBin = bins[iBin]; //----- walk to the left and find first bin > theBin iLow = iBin; for(j=iBin; j>-1; j-- ) { if(theBin< bins[j]) break; iLow = j; } //iLow = iBin; //if(iLow>0) while( (theBin >= bins[iLow-1])&&(iLow >0) ){iLow--;} // horror!!! //------ walk to the right and find first bin > theBin iUp = iBin; for(j=iBin; j<fNBin; j++) { if(theBin< bins[j]) break; iUp = j; } //iUp = iBin; //if(iUp<fNBin-1) while( (theBin >= bins[iUp+1])&&( iUp<fNBin-1 ) ){iUp++;} // horror!!! // carve = (iUp-iLow+1)*(binMax-theBin); if( carve > carvOne) { carvOne = carve; jLow = iLow; jUp = iUp; yLevel = theBin; } }//iBin if( carvTot > carvMax) { carvMax = carvTot; //primMax = primTot; //cout <<"Carver: primMax "<<primMax<<endl; kBest = kProj; // Best edge xBest = ((Double_t)(jLow))/fNBin; yBest = ((Double_t)(jUp+1))/fNBin; if(jLow == 0 ) xBest = yBest; if(jUp == fNBin-1) yBest = xBest; // division ratio in units of 1/fNBin, testing // jDivi = jLow; // if(jLow == 0 ) jDivi=jUp+1; } //====== extra histograms for debug purposes //cout<<"kProj= "<<kProj<<" jLow= "<<jLow<<" jUp= "<<jUp<<endl; for(iBin=0; iBin<fNBin; iBin++) ((TH1D *)(*fHistDbg)[kProj])->SetBinContent(iBin+1,binMax); for(iBin=jLow; iBin<jUp+1; iBin++) ((TH1D *)(*fHistDbg)[kProj])->SetBinContent(iBin+1,yLevel); }//kProj if( (kBest >= fDim) || (kBest<0) ) Error("Carver", "Something wrong with kBest \n" ); delete [] bins; } //TFoam::Carver //______________________________________________________________________________________________ void TFoam::MakeAlpha() { // Internal subrogram used by Initialize. // Provides random vector Alpha 0< Alpha(i) < 1 Int_t k; if(fDim<1) return; // simply generate and load kDim uniform random numbers fPseRan->RndmArray(fDim,fRvec); // kDim random numbers needed for(k=0; k<fDim; k++) fAlpha[k] = fRvec[k]; } //MakeAlpha //_____________________________________________________________________________________________ void TFoam::Grow() { // Internal subrogram used by Initialize. // It grow new cells by the binary division process. Long_t iCell; TFoamCell* newCell; while ( (fLastCe+2) < fNCells ) { // this condition also checked inside Divide iCell = PeekMax(); // peek up cell with maximum driver integral if( (iCell<0) || (iCell>fLastCe) ) Error("Grow", "Wrong iCell \n"); newCell = fCells[iCell]; if(fLastCe !=0) { Int_t kEcho=10; if(fLastCe>=10000) kEcho=100; if( (fLastCe%kEcho)==0) { if (fChat>0) { if(fDim<10) cout<<fDim<<flush; else cout<<"."<<flush; if( (fLastCe%(100*kEcho))==0) cout<<"|"<<fLastCe<<endl<<flush; } } } if( Divide( newCell )==0) break; // and divide it into two } if (fChat>0) { cout<<endl<<flush; } CheckAll(0); // set arg=1 for more info }// Grow //_____________________________________________________________________________________________ Long_t TFoam::PeekMax() { // Internal subprogram used by Initialize. // It finds cell with maximal driver integral for the purpose of the division. Long_t i; Long_t iCell = -1; Double_t drivMax, driv; drivMax = gVlow; for(i=0; i<=fLastCe; i++) {//without root if( fCells[i]->GetStat() == 1 ) { driv = TMath::Abs( fCells[i]->GetDriv()); //cout<<"PeekMax: Driv = "<<driv<<endl; if(driv > drivMax) { drivMax = driv; iCell = i; } } } // cout << 'TFoam_PeekMax: iCell=' << iCell << endl; if (iCell == -1) cout << "STOP in TFoam::PeekMax: not found iCell=" << iCell << endl; return(iCell); } // TFoam_PeekMax //_____________________________________________________________________________________________ Int_t TFoam::Divide(TFoamCell *cell) { // Internal subrogram used by Initialize. // It divides cell iCell into two daughter cells. // The iCell is retained and tagged as inactive, daughter cells are appended // at the end of the buffer. // New vertex is added to list of vertices. // List of active cells is updated, iCell removed, two daughters added // and their properties set with help of MC sampling (TFoam_Explore) // Returns Code RC=-1 of buffer limit is reached, fLastCe=fnBuf. Int_t kBest; if(fLastCe+1 >= fNCells) Error("Divide", "Buffer limit is reached, fLastCe=fnBuf \n"); cell->SetStat(0); // reset cell as inactive fNoAct--; kBest = cell->GetBest(); if( kBest<0 || kBest>=fDim ) Error("Divide", "Wrong kBest \n"); ////////////////////////////////////////////////////////////////// // define two daughter cells (active) // ////////////////////////////////////////////////////////////////// Int_t d1 = CellFill(1, cell); Int_t d2 = CellFill(1, cell); cell->SetDau0((fCells[d1])); cell->SetDau1((fCells[d2])); Explore( (fCells[d1]) ); Explore( (fCells[d2]) ); return 1; } // TFoam_Divide //_________________________________________________________________________________________ void TFoam::MakeActiveList() { // Internal subrogram used by Initialize. // It finds out number of active cells fNoAct, // creates list of active cell fCellsAct and primary cumulative fPrimAcu. // They are used during the MC generation to choose randomly an active cell. Long_t n, iCell; Double_t sum; // flush previous result if(fPrimAcu != 0) delete [] fPrimAcu; if(fCellsAct != 0) delete fCellsAct; // Allocate tables of active cells fCellsAct = new TRefArray(); // Count Active cells and find total Primary // Fill-in tables of active cells fPrime = 0.0; n = 0; for(iCell=0; iCell<=fLastCe; iCell++) { if (fCells[iCell]->GetStat()==1) { fPrime += fCells[iCell]->GetPrim(); fCellsAct->Add(fCells[iCell]); n++; } } if(fNoAct != n) Error("MakeActiveList", "Wrong fNoAct \n" ); if(fPrime == 0.) Error("MakeActiveList", "Integrand function is zero \n" ); fPrimAcu = new Double_t[fNoAct]; // cumulative primary for MC generation if( fCellsAct==0 || fPrimAcu==0 ) Error("MakeActiveList", "Cant allocate fCellsAct or fPrimAcu \n"); sum =0.0; for(iCell=0; iCell<fNoAct; iCell++) { sum = sum + ( (TFoamCell *) (fCellsAct->At(iCell)) )->GetPrim()/fPrime; fPrimAcu[iCell]=sum; } } //MakeActiveList //__________________________________________________________________________________________ void TFoam::ResetPseRan(TRandom *PseRan) { // User may optionally reset random number generator using this method // Usually it is done when FOAM object is restored from the disk. // IMPORTANT: this method deletes existing random number generator registered in the FOAM object. // In particular such an object is created by the streamer during the disk-read operation. if(fPseRan) { Info("ResetPseRan", "Resetting random number generator \n"); delete fPseRan; } SetPseRan(PseRan); } //__________________________________________________________________________________________ void TFoam::SetRho(TFoamIntegrand *fun) { // User may use this method to set the distribution object if (fun) fRho=fun; else Error("SetRho", "Bad function \n" ); } //__________________________________________________________________________________________ void TFoam::SetRhoInt(Double_t (*fun)(Int_t, Double_t *) ) { // User may use this method to set the distribution object as a global function pointer // (and not as an interpreted function). // This is needed for both AClic and Cling if (fun) { // delete function object if it has been created here in SetRho if (fRho && dynamic_cast<FoamIntegrandFunction*>(fRho) ) delete fRho; fRho= new FoamIntegrandFunction(fun); } else Error("SetRho", "Bad function \n" ); } //__________________________________________________________________________________________ void TFoam::ResetRho(TFoamIntegrand *fun) { // User may optionally reset the distribution using this method // Usually it is done when FOAM object is restored from the disk. // IMPORTANT: this method deletes existing distribution object registered in the FOAM object. // In particular such an object is created by the streamer diring the disk-read operation. // This method is used only in very special cases, because the distribution in most cases // should be "owned" by the FOAM object and should not be replaced by another one after initialization. if(fRho) { Info("ResetRho", "!!! Resetting distribution function !!!\n"); delete fRho; } SetRho(fun); } //__________________________________________________________________________________________ void TFoam::SetRhoInt( void * f) { // User may use this to set pointer to the global function (not descending // from TFoamIntegrand) serving as a distribution for FOAM. // It is useful for simple interactive applications. // Note that persistency for FOAM object will not work in the case of such // a distribution. const char *namefcn = gCint->Getp2f2funcname(f); //name of integrand function if(namefcn) { fMethodCall=new TMethodCall(); fMethodCall->InitWithPrototype(namefcn, "Int_t, Double_t *"); } fRho=0; } //__________________________________________________________________________________________ Double_t TFoam::Eval(Double_t *xRand) { // Internal subprogram. // Evaluates distribution to be generated. Double_t result; if(!fRho) { //interactive mode Long_t paramArr[3]; paramArr[0]=(Long_t)fDim; paramArr[1]=(Long_t)xRand; fMethodCall->SetParamPtrs(paramArr); fMethodCall->Execute(result); } else { //compiled mode result=fRho->Density(fDim,xRand); } return result; } //___________________________________________________________________________________________ void TFoam::GenerCel2(TFoamCell *&pCell) { // Internal subprogram. // Return randomly chosen active cell with probability equal to its // contribution into total driver integral using interpolation search. Long_t lo, hi, hit; Double_t fhit, flo, fhi; Double_t random; random=fPseRan->Rndm(); lo = 0; hi =fNoAct-1; flo = fPrimAcu[lo]; fhi=fPrimAcu[hi]; while(lo+1<hi) { hit = lo + (Int_t)( (hi-lo)*(random-flo)/(fhi-flo)+0.5); if (hit<=lo) hit = lo+1; else if(hit>=hi) hit = hi-1; fhit=fPrimAcu[hit]; if (fhit>random) { hi = hit; fhi = fhit; } else { lo = hit; flo = fhit; } } if (fPrimAcu[lo]>random) pCell = (TFoamCell *) fCellsAct->At(lo); else pCell = (TFoamCell *) fCellsAct->At(hi); } // TFoam::GenerCel2 //___________________________________________________________________________________________ void TFoam::MakeEvent(void) { // User subprogram. // It generates randomly point/vector according to user-defined distribution. // Prior initialization with help of Initialize() is mandatory. // Generated MC point/vector is available using GetMCvect and the MC weight with GetMCwt. // MC point is generated with wt=1 or with variable weight, see OptRej switch. Int_t j; Double_t wt,dx,mcwt; TFoamCell *rCell; // //********************** MC LOOP STARS HERE ********************** ee0: GenerCel2(rCell); // choose randomly one cell MakeAlpha(); TFoamVect cellPosi(fDim); TFoamVect cellSize(fDim); rCell->GetHcub(cellPosi,cellSize); for(j=0; j<fDim; j++) fMCvect[j]= cellPosi[j] +fAlpha[j]*cellSize[j]; dx = rCell->GetVolume(); // Cartesian volume of the Cell // weight average normalized to PRIMARY integral over the cell wt=dx*Eval(fMCvect); mcwt = wt / rCell->GetPrim(); // PRIMARY controls normalization fNCalls++; fMCwt = mcwt; // accumulation of statistics for the main MC weight fSumWt += mcwt; // sum of Wt fSumWt2 += mcwt*mcwt; // sum of Wt**2 fNevGen++; // sum of 1d0 fWtMax = TMath::Max(fWtMax, mcwt); // maximum wt fWtMin = TMath::Min(fWtMin, mcwt); // minimum wt fMCMonit->Fill(mcwt); fHistWt->Fill(mcwt,1.0); // histogram //******* Optional rejection ****** if(fOptRej == 1) { Double_t random; random=fPseRan->Rndm(); if( fMaxWtRej*random > fMCwt) goto ee0; // Wt=1 events, internal rejection if( fMCwt<fMaxWtRej ) { fMCwt = 1.0; // normal Wt=1 event } else { fMCwt = fMCwt/fMaxWtRej; // weight for overweighted events! kept for debug fSumOve += fMCwt-fMaxWtRej; // contribution of overweighted } } //********************** MC LOOP ENDS HERE ********************** } // MakeEvent //_________________________________________________________________________________ void TFoam::GetMCvect(Double_t *MCvect) { // User may get generated MC point/vector with help of this method for ( Int_t k=0 ; k<fDim ; k++) *(MCvect +k) = fMCvect[k]; }//GetMCvect //___________________________________________________________________________________ Double_t TFoam::GetMCwt(void) { // User may get weight MC weight using this method return(fMCwt); } //___________________________________________________________________________________ void TFoam::GetMCwt(Double_t &mcwt) { // User may get weight MC weight using this method mcwt=fMCwt; } //___________________________________________________________________________________ Double_t TFoam::MCgenerate(Double_t *MCvect) { // User subprogram which generates MC event and returns MC weight MakeEvent(); GetMCvect(MCvect); return(fMCwt); }//MCgenerate //___________________________________________________________________________________ void TFoam::GetIntegMC(Double_t &mcResult, Double_t &mcError) { // User subprogram. // It provides the value of the integral calculated from the averages of the MC run // May be called after (or during) the MC run. Double_t mCerelat; mcResult = 0.0; mCerelat = 1.0; if (fNevGen>0) { mcResult = fPrime*fSumWt/fNevGen; mCerelat = sqrt( fSumWt2/(fSumWt*fSumWt) - 1/fNevGen); } mcError = mcResult *mCerelat; }//GetIntegMC //____________________________________________________________________________________ void TFoam::GetIntNorm(Double_t& IntNorm, Double_t& Errel ) { // User subprogram. // It returns NORMALIZATION integral to be combined with the average weights // and content of the histograms in order to get proper absolute normalization // of the integrand and distributions. // It can be called after initialization, before or during the MC run. if(fOptRej == 1) { // Wt=1 events, internal rejection Double_t intMC,errMC; GetIntegMC(intMC,errMC); IntNorm = intMC; Errel = errMC; } else { // Wted events, NO internal rejection IntNorm = fPrime; Errel = 0; } }//GetIntNorm //______________________________________________________________________________________ void TFoam::GetWtParams(Double_t eps, Double_t &aveWt, Double_t &wtMax, Double_t &sigma) { // May be called optionally after the MC run. // Returns various parameters of the MC weight for efficiency evaluation Double_t mCeff, wtLim; fMCMonit->GetMCeff(eps, mCeff, wtLim); wtMax = wtLim; aveWt = fSumWt/fNevGen; sigma = sqrt( fSumWt2/fNevGen -aveWt*aveWt ); }//GetmCeff //_______________________________________________________________________________________ void TFoam::Finalize(Double_t& IntNorm, Double_t& Errel) { // May be called optionally by the user after the MC run. // It provides normalization and also prints some information/statistics on the MC run. GetIntNorm(IntNorm,Errel); Double_t mcResult,mcError; GetIntegMC(mcResult,mcError); Double_t mCerelat= mcError/mcResult; // if(fChat>0) { Double_t eps = 0.0005; Double_t mCeff, mcEf2, wtMax, aveWt, sigma; GetWtParams(eps, aveWt, wtMax, sigma); mCeff=0; if(wtMax>0.0) mCeff=aveWt/wtMax; mcEf2 = sigma/aveWt; Double_t driver = fCells[0]->GetDriv(); // BXOPE; BXTXT("****************************************"); BXTXT("****** TFoam::Finalize ******"); BXTXT("****************************************"); BX1I(" NevGen",fNevGen, "Number of generated events in the MC generation "); BX1I(" nCalls",fNCalls, "Total number of function calls "); BXTXT("----------------------------------------"); BX1F(" AveWt",aveWt, "Average MC weight "); BX1F(" WtMin",fWtMin, "Minimum MC weight (absolute) "); BX1F(" WtMax",fWtMax, "Maximum MC weight (absolute) "); BXTXT("----------------------------------------"); BX1F(" XPrime",fPrime, "Primary total integral, R_prime "); BX1F(" XDiver",driver, "Driver total integral, R_loss "); BXTXT("----------------------------------------"); BX2F(" IntMC", mcResult, mcError, "Result of the MC Integral"); BX1F(" mCerelat", mCerelat, "Relative error of the MC integral "); BX1F(" <w>/WtMax",mCeff, "MC efficiency, acceptance rate"); BX1F(" Sigma/<w>",mcEf2, "MC efficiency, variance/ave_wt"); BX1F(" WtMax",wtMax, "WtMax(esp= 0.0005) "); BX1F(" Sigma",sigma, "variance of MC weight "); if(fOptRej==1) { Double_t avOve=fSumOve/fSumWt; BX1F("<OveW>/<W>",avOve, "Contrib. of events wt>MaxWtRej"); } BXCLO; } } // Finalize //_____________________________________________________________________________________ void TFoam::SetInhiDiv(Int_t iDim, Int_t InhiDiv) { // This can be called before Initialize, after setting kDim // It defines which variables are excluded in the process of the cell division. // For example 'FoamX->SetInhiDiv(1, 1);' inhibits division of y-variable. // The resulting map of cells in 2-dim. case will look as follows: //BEGIN_HTML <!-- /* --> <img src="gif/foam_Map2.gif"> <!--*/ // -->END_HTML if(fDim==0) Error("TFoam","SetInhiDiv: fDim=0 \n"); if(fInhiDiv == 0) { fInhiDiv = new Int_t[ fDim ]; for(Int_t i=0; i<fDim; i++) fInhiDiv[i]=0; } // if( ( 0<=iDim) && (iDim<fDim)) { fInhiDiv[iDim] = InhiDiv; } else Error("SetInhiDiv:","Wrong iDim \n"); }//SetInhiDiv //______________________________________________________________________________________ void TFoam::SetXdivPRD(Int_t iDim, Int_t len, Double_t xDiv[]) { // This should be called before Initialize, after setting kDim // It predefines values of the cell division for certain variable iDim. // For example setting 3 predefined division lines using: // xDiv[0]=0.30; xDiv[1]=0.40; xDiv[2]=0.65; // FoamX->SetXdivPRD(0,3,xDiv); // results in the following 2-dim. pattern of the cells: //BEGIN_HTML <!-- /* --> <img src="gif/foam_Map3.gif"> <!--*/ // -->END_HTML Int_t i; if(fDim<=0) Error("SetXdivPRD", "fDim=0 \n"); if( len<1 ) Error("SetXdivPRD", "len<1 \n"); // allocate list of pointers, if it was not done before if(fXdivPRD == 0) { fXdivPRD = new TFoamVect*[fDim]; for(i=0; i<fDim; i++) fXdivPRD[i]=0; } // set division list for direction iDim in H-cubic space!!! if( ( 0<=iDim) && (iDim<fDim)) { fOptPRD =1; // !!!! if( fXdivPRD[iDim] != 0) Error("SetXdivPRD", "Second allocation of XdivPRD not allowed \n"); fXdivPRD[iDim] = new TFoamVect(len); // allocate list of division points for(i=0; i<len; i++) { (*fXdivPRD[iDim])[i]=xDiv[i]; // set list of division points } } else { Error("SetXdivPRD", "Wrong iDim \n"); } // Priting predefined division points cout<<" SetXdivPRD, idim= "<<iDim<<" len= "<<len<<" "<<endl; for(i=0; i<len; i++) { if (iDim < fDim) cout<< (*fXdivPRD[iDim])[i] <<" "; } cout<<endl; for(i=0; i<len; i++) cout<< xDiv[i] <<" "; cout<<endl; // }//SetXdivPRD //_______________________________________________________________________________________ void TFoam::CheckAll(Int_t level) { // User utility, miscellaneous and debug. // Checks all pointers in the tree of cells. This is useful autodiagnostic. // level=0, no printout, failures causes STOP // level=1, printout, failures lead to WARNINGS only Int_t errors, warnings; TFoamCell *cell; Long_t iCell; errors = 0; warnings = 0; if (level==1) cout << "///////////////////////////// FOAM_Checks /////////////////////////////////" << endl; for(iCell=1; iCell<=fLastCe; iCell++) { cell = fCells[iCell]; // checking general rules if( ((cell->GetDau0()==0) && (cell->GetDau1()!=0) ) || ((cell->GetDau1()==0) && (cell->GetDau0()!=0) ) ) { errors++; if (level==1) Error("CheckAll","ERROR: Cell's no %ld has only one daughter \n",iCell); } if( (cell->GetDau0()==0) && (cell->GetDau1()==0) && (cell->GetStat()==0) ) { errors++; if (level==1) Error("CheckAll","ERROR: Cell's no %ld has no daughter and is inactive \n",iCell); } if( (cell->GetDau0()!=0) && (cell->GetDau1()!=0) && (cell->GetStat()==1) ) { errors++; if (level==1) Error("CheckAll","ERROR: Cell's no %ld has two daughters and is active \n",iCell); } // checking parents if( (cell->GetPare())!=fCells[0] ) { // not child of the root if ( (cell != cell->GetPare()->GetDau0()) && (cell != cell->GetPare()->GetDau1()) ) { errors++; if (level==1) Error("CheckAll","ERROR: Cell's no %ld parent not pointing to this cell\n ",iCell); } } // checking daughters if(cell->GetDau0()!=0) { if(cell != (cell->GetDau0())->GetPare()) { errors++; if (level==1) Error("CheckAll","ERROR: Cell's no %ld daughter 0 not pointing to this cell \n",iCell); } } if(cell->GetDau1()!=0) { if(cell != (cell->GetDau1())->GetPare()) { errors++; if (level==1) Error("CheckAll","ERROR: Cell's no %ld daughter 1 not pointing to this cell \n",iCell); } } }// loop after cells; // Check for empty cells for(iCell=0; iCell<=fLastCe; iCell++) { cell = fCells[iCell]; if( (cell->GetStat()==1) && (cell->GetDriv()==0) ) { warnings++; if(level==1) Warning("CheckAll", "Warning: Cell no. %ld is active but empty \n", iCell); } } // summary if(level==1){ Info("CheckAll","Check has found %d errors and %d warnings \n",errors, warnings); } if(errors>0){ Info("CheckAll","Check - found total %d errors \n",errors); } } // Check //________________________________________________________________________________________ void TFoam::PrintCells(void) { // Prints geometry of ALL cells of the FOAM Long_t iCell; for(iCell=0; iCell<=fLastCe; iCell++) { cout<<"Cell["<<iCell<<"]={ "; //cout<<" "<< fCells[iCell]<<" "; // extra DEBUG cout<<endl; fCells[iCell]->Print("1"); cout<<"}"<<endl; } } //_________________________________________________________________________________________ void TFoam::RootPlot2dim(Char_t *filename) { // Debugging tool which plots 2-dimensional cells as rectangles // in C++ format readable for root ofstream outfile(filename, ios::out); Double_t x1,y1,x2,y2,x,y; Long_t iCell; Double_t offs =0.1; Double_t lpag =1-2*offs; outfile<<"{" << endl; outfile<<"cMap = new TCanvas(\"Map1\",\" Cell Map \",600,600);"<<endl; // outfile<<"TBox*a=new TBox();"<<endl; outfile<<"a->SetFillStyle(0);"<<endl; // big frame outfile<<"a->SetLineWidth(4);"<<endl; outfile<<"a->SetLineColor(2);"<<endl; outfile<<"a->DrawBox("<<offs<<","<<offs<<","<<(offs+lpag)<<","<<(offs+lpag)<<");"<<endl; // outfile<<"TText*t=new TText();"<<endl; // text for numbering outfile<<"t->SetTextColor(4);"<<endl; if(fLastCe<51) outfile<<"t->SetTextSize(0.025);"<<endl; // text for numbering else if(fLastCe<251) outfile<<"t->SetTextSize(0.015);"<<endl; else outfile<<"t->SetTextSize(0.008);"<<endl; // outfile<<"TBox*b=new TBox();"<<endl; // single cell outfile <<"b->SetFillStyle(0);"<<endl; // if(fDim==2 && fLastCe<=2000) { TFoamVect cellPosi(fDim); TFoamVect cellSize(fDim); outfile << "// =========== Rectangular cells ==========="<< endl; for(iCell=1; iCell<=fLastCe; iCell++) { if( fCells[iCell]->GetStat() == 1) { fCells[iCell]->GetHcub(cellPosi,cellSize); x1 = offs+lpag*( cellPosi[0]); y1 = offs+lpag*( cellPosi[1]); x2 = offs+lpag*(cellPosi[0]+cellSize[0]); y2 = offs+lpag*(cellPosi[1]+cellSize[1]); // cell rectangle if(fLastCe<=2000) outfile<<"b->DrawBox("<<x1<<","<<y1<<","<<x2<<","<<y2<<");"<<endl; // cell number if(fLastCe<=250) { x = offs+lpag*(cellPosi[0]+0.5*cellSize[0]); y = offs+lpag*(cellPosi[1]+0.5*cellSize[1]); outfile<<"t->DrawText("<<x<<","<<y<<","<<"\""<<iCell<<"\""<<");"<<endl; } } } outfile<<"// ============== End Rectangles ==========="<< endl; }//kDim=2 // // outfile << "}" << endl; outfile.close(); } void TFoam::LinkCells() { // Void function for backward compatibility Info("LinkCells", "VOID function for backward compatibility \n"); return; } //////////////////////////////////////////////////////////////////////////////// // End of Class TFoam // ////////////////////////////////////////////////////////////////////////////////