G4NeutronHPArbitaryTab.hh

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00027 // $Id$
00028 //
00029 #ifndef G4NeutronHPArbitaryTab_h
00030 #define G4NeutronHPArbitaryTab_h 1
00031 
00032 #include <fstream>
00033 #include <CLHEP/Units/SystemOfUnits.h>
00034 
00035 #include "globals.hh"
00036 #include "G4ios.hh"
00037 #include "Randomize.hh"
00038 #include "G4NeutronHPVector.hh"
00039 #include "G4VNeutronHPEDis.hh"
00040 #include "G4InterpolationManager.hh"
00041 
00042 // we will need a List of these .... one per term.
00043 
00044 class G4NeutronHPArbitaryTab : public G4VNeutronHPEDis
00045 {
00046   public:
00047   G4NeutronHPArbitaryTab()
00048   {
00049    theDistFunc = 0;
00050   }
00051   ~G4NeutronHPArbitaryTab()
00052   {
00053    if(theDistFunc!=0) delete [] theDistFunc;
00054   }
00055   
00056   inline void Init(std::ifstream & theData)
00057   {
00058     G4int i;
00059     theFractionalProb.Init(theData, CLHEP::eV);
00060     theData >> nDistFunc; // = number of incoming n energy points
00061     theDistFunc = new G4NeutronHPVector [nDistFunc];
00062     theManager.Init(theData);
00063     G4double currentEnergy;
00064     for(i=0; i<nDistFunc; i++)
00065     {
00066       theData >> currentEnergy;
00067       theDistFunc[i].SetLabel(currentEnergy*CLHEP::eV);
00068       theDistFunc[i].Init(theData, CLHEP::eV);
00069       //************************************************************************
00070       //EMendoza:
00071       //ThinOut() assumes that the data is linear-linear, what is false:
00072       //theDistFunc[i].ThinOut(0.02); // @@@ optimization to be finished.
00073       //************************************************************************
00074     }
00075 
00076     //************************************************************************
00077     //EMendoza:
00078     //Here we calculate the thresholds for the 2D sampling:
00079     for(i=0; i<nDistFunc; i++){
00080       G4int np=theDistFunc[i].GetVectorLength();
00081       theLowThreshold[i]=theDistFunc[i].GetEnergy(0);
00082       theHighThreshold[i]=theDistFunc[i].GetEnergy(np-1);
00083       for(G4int j=0;j<np-1;j++){
00084         if(theDistFunc[i].GetXsec(j+1)>1.e-20){
00085           theLowThreshold[i]=theDistFunc[i].GetEnergy(j);
00086           break;
00087         }
00088       }
00089       for(G4int j=1;j<np;j++){
00090         if(theDistFunc[i].GetXsec(j-1)>1.e-20){
00091           theHighThreshold[i]=theDistFunc[i].GetEnergy(j);
00092         }
00093       }
00094     }
00095      //************************************************************************
00096   }
00097   
00098   inline G4double GetFractionalProbability(G4double anEnergy)
00099   {
00100     return theFractionalProb.GetY(anEnergy);
00101   }
00102   
00103   G4double Sample(G4double anEnergy) ;
00104   
00105   private:
00106   
00107   G4NeutronHPVector theFractionalProb;
00108   G4int nDistFunc;
00109   G4InterpolationManager theManager; // knows the interpolation between stores
00110   G4NeutronHPVector * theDistFunc; // one per incoming energy
00111   G4NeutronHPVector theBuffer;
00112   //************************************************************************
00113   //EMendoza:
00114   G4double theLowThreshold[1000];
00115   G4double theHighThreshold[1000];
00116   //************************************************************************
00117 
00118 };
00119 
00120 #endif

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