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25 // 25 //
26 // neutron_hp -- source file 26 // neutron_hp -- source file
27 // J.P. Wellisch, Nov-1996 27 // J.P. Wellisch, Nov-1996
28 // A prototype of the low energy neutron trans 28 // A prototype of the low energy neutron transport model.
29 // 29 //
30 // P. Arce, June-2014 Conversion neutron_hp to 30 // P. Arce, June-2014 Conversion neutron_hp to particle_hp
31 // 31 //
32 #include "G4ParticleHPArbitaryTab.hh" 32 #include "G4ParticleHPArbitaryTab.hh"
33 <<
34 #include "G4ios.hh" 33 #include "G4ios.hh"
35 34
36 G4double G4ParticleHPArbitaryTab::Sample(G4dou << 35 G4double G4ParticleHPArbitaryTab::Sample(G4double anEnergy)
37 { << 36 {
38 G4int i; << 37 G4int i;
39 for (i = 0; i < nDistFunc; i++) { << 38 for(i=0;i<nDistFunc;i++)
40 if (anEnergy < theDistFunc[i].GetLabel()) << 39 {
41 } << 40 if(anEnergy<theDistFunc[i].GetLabel()) break; // that is the energy we need
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 } 41 }
53 return theDistFunc[0].Sample(); << 42 G4int low(0), high(0);
54 } << 43 if(i==nDistFunc)
55 else { << 44 {
56 low = i - 1; << 45 low = i-2;
57 high = i; << 46 high = i-1;
58 } << 47 }
59 //****************************************** << 48 else if(i==0)
60 // EMendoza << 49 {
61 /* << 50 if(nDistFunc==0)
62 theBuffer.Merge(theManager.GetScheme(low), << 51 {
63 theDistFunc+low, theDistFunc+high); << 52 G4cerr << "No distribution functions to sample "
64 return theBuffer.Sample(); << 53 << "from in G4ParticleHPArbitaryTab::Sample"<<G4endl;
65 */ << 54 throw G4HadronicException(__FILE__, __LINE__, "nDistFunc==0");
66 //****************************************** << 55 }
67 // New way to perform the 2D sampling: << 56 else
68 G4double elow = theDistFunc[low].GetLabel(); << 57 {
69 G4double ehigh = theDistFunc[high].GetLabel( << 58 return theDistFunc[0].Sample();
70 G4double rval = (anEnergy - elow) / (ehigh - << 59 }
71 G4double eoutlow = theLowThreshold[low] + rv << 60 }
72 G4double eouthigh = << 61 else
73 theHighThreshold[low] + rval * (theHighThr << 62 {
74 G4double rand = G4UniformRand(); << 63 low = i-1;
75 G4double Eout_1 = 0, Eout_2 = 0; << 64 high = i;
76 if (rval < rand) { << 65 }
77 Eout_1 = theDistFunc[low].Sample(); << 66 //************************************************************************
78 Eout_2 = eoutlow << 67 //EMendoza
79 + (Eout_1 - theLowThreshold[low]) << 68 /*
80 / (theHighThreshold[low] - th << 69 theBuffer.Merge(theManager.GetScheme(low), anEnergy,
81 } << 70 theDistFunc+low, theDistFunc+high);
82 else { << 71 return theBuffer.Sample();
83 Eout_1 = theDistFunc[high].Sample(); << 72 */
84 Eout_2 = eoutlow << 73 //************************************************************************
85 + (Eout_1 - theLowThreshold[high] << 74 //New way to perform the 2D sampling:
86 / (theHighThreshold[high] - t << 75 G4double elow=theDistFunc[low].GetLabel();
87 } << 76 G4double ehigh=theDistFunc[high].GetLabel();
88 return Eout_2; << 77 G4double rval=(anEnergy-elow)/(ehigh-elow);//rval is 0 for elow and 1 for ehigh
>> 78 G4double eoutlow=theLowThreshold[low]+rval*(theLowThreshold[high]-theLowThreshold[low]);
>> 79 G4double eouthigh=theHighThreshold[low]+rval*(theHighThreshold[high]-theHighThreshold[low]);
>> 80 G4double rand=G4UniformRand();
>> 81 G4double Eout_1=0,Eout_2=0;
>> 82 if(rval<rand){
>> 83 Eout_1=theDistFunc[low].Sample();
>> 84 Eout_2=eoutlow+(Eout_1-theLowThreshold[low])*(eouthigh-eoutlow)/(theHighThreshold[low]-theLowThreshold[low]);
>> 85 }
>> 86 else{
>> 87 Eout_1=theDistFunc[high].Sample();
>> 88 Eout_2=eoutlow+(Eout_1-theLowThreshold[high])*(eouthigh-eoutlow)/(theHighThreshold[high]-theLowThreshold[high]);
>> 89 }
>> 90 return Eout_2;
89 91
90 //****************************************** << 92 //************************************************************************
91 } << 93 }
92 94