Geant4 Cross Reference |
1 // 1 2 // ******************************************* 3 // * License and Disclaimer 4 // * 5 // * The Geant4 software is copyright of th 6 // * the Geant4 Collaboration. It is provided 7 // * conditions of the Geant4 Software License 8 // * LICENSE and available at http://cern.ch/ 9 // * include a list of copyright holders. 10 // * 11 // * Neither the authors of this software syst 12 // * institutes,nor the agencies providing fin 13 // * work make any representation or warran 14 // * regarding this software system or assum 15 // * use. Please see the license in the file 16 // * for the full disclaimer and the limitatio 17 // * 18 // * This code implementation is the result 19 // * technical work of the GEANT4 collaboratio 20 // * By using, copying, modifying or distri 21 // * any work based on the software) you ag 22 // * use in resulting scientific publicati 23 // * acceptance of all terms of the Geant4 Sof 24 // ******************************************* 25 // 26 // neutron_hp -- source file 27 // J.P. Wellisch, Nov-1996 28 // A prototype of the low energy neutron trans 29 // 30 // P. Arce, June-2014 Conversion neutron_hp to 31 // 32 #include "G4ParticleHPArbitaryTab.hh" 33 34 #include "G4ios.hh" 35 36 G4double G4ParticleHPArbitaryTab::Sample(G4dou 37 { 38 G4int i; 39 for (i = 0; i < nDistFunc; i++) { 40 if (anEnergy < theDistFunc[i].GetLabel()) 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 50 << "from in G4ParticleHPArbitaryT 51 throw G4HadronicException(__FILE__, __LI 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), 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 - 71 G4double eoutlow = theLowThreshold[low] + rv 72 G4double eouthigh = 73 theHighThreshold[low] + rval * (theHighThr 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]) 80 / (theHighThreshold[low] - th 81 } 82 else { 83 Eout_1 = theDistFunc[high].Sample(); 84 Eout_2 = eoutlow 85 + (Eout_1 - theLowThreshold[high] 86 / (theHighThreshold[high] - t 87 } 88 return Eout_2; 89 90 //****************************************** 91 } 92