Geant4 Cross Reference

Cross-Referencing   Geant4
Geant4/processes/hadronic/models/particle_hp/src/G4ParticleHPArbitaryTab.cc

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  1 //
  2 // ********************************************************************
  3 // * License and Disclaimer                                           *
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 25 //
 26 // neutron_hp -- source file
 27 // J.P. Wellisch, Nov-1996
 28 // A prototype of the low energy neutron transport model.
 29 //
 30 // P. Arce, June-2014 Conversion neutron_hp to particle_hp
 31 //
 32 #include "G4ParticleHPArbitaryTab.hh"
 33 
 34 #include "G4ios.hh"
 35 
 36 G4double G4ParticleHPArbitaryTab::Sample(G4double anEnergy)
 37 {
 38   G4int i;
 39   for (i = 0; i < nDistFunc; i++) {
 40     if (anEnergy < theDistFunc[i].GetLabel()) break;  // that is the energy we need
 41   }
 42   G4int low(0), high(0);
 43   if (i == nDistFunc) {
 44     low = i - 2;
 45     high = i - 1;
 46   }
 47   else if (i == 0) {
 48     if (nDistFunc == 0) {
 49       G4cerr << "No distribution functions to sample "
 50              << "from in G4ParticleHPArbitaryTab::Sample" << G4endl;
 51       throw G4HadronicException(__FILE__, __LINE__, "nDistFunc==0");
 52     }
 53     return theDistFunc[0].Sample();
 54   }
 55   else {
 56     low = i - 1;
 57     high = i;
 58   }
 59   //************************************************************************
 60   // EMendoza
 61   /*
 62     theBuffer.Merge(theManager.GetScheme(low), anEnergy,
 63     theDistFunc+low, theDistFunc+high);
 64     return theBuffer.Sample();
 65   */
 66   //************************************************************************
 67   // New way to perform the 2D sampling:
 68   G4double elow = theDistFunc[low].GetLabel();
 69   G4double ehigh = theDistFunc[high].GetLabel();
 70   G4double rval = (anEnergy - elow) / (ehigh - elow);  // rval is 0 for elow and 1 for ehigh
 71   G4double eoutlow = theLowThreshold[low] + rval * (theLowThreshold[high] - theLowThreshold[low]);
 72   G4double eouthigh =
 73     theHighThreshold[low] + rval * (theHighThreshold[high] - theHighThreshold[low]);
 74   G4double rand = G4UniformRand();
 75   G4double Eout_1 = 0, Eout_2 = 0;
 76   if (rval < rand) {
 77     Eout_1 = theDistFunc[low].Sample();
 78     Eout_2 = eoutlow
 79              + (Eout_1 - theLowThreshold[low]) * (eouthigh - eoutlow)
 80                  / (theHighThreshold[low] - theLowThreshold[low]);
 81   }
 82   else {
 83     Eout_1 = theDistFunc[high].Sample();
 84     Eout_2 = eoutlow
 85              + (Eout_1 - theLowThreshold[high]) * (eouthigh - eoutlow)
 86                  / (theHighThreshold[high] - theLowThreshold[high]);
 87   }
 88   return Eout_2;
 89 
 90   //************************************************************************
 91 }
 92