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G4DNACPA100LogLogInterpolation.cc
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1 //
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18 // * This code implementation is the result of the scientific and *
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24 // ********************************************************************
25 //
26 // Based on the work of M. Terrissol and M. C. Bordage
27 //
28 // Users are requested to cite the following papers:
29 // - M. Terrissol, A. Baudre, Radiat. Prot. Dosim. 31 (1990) 175-177
30 // - M.C. Bordage, J. Bordes, S. Edel, M. Terrissol, X. Franceries,
31 // M. Bardies, N. Lampe, S. Incerti, Phys. Med. 32 (2016) 1833-1840
32 //
33 // Authors of this class:
34 // M.C. Bordage, M. Terrissol, S. Edel, J. Bordes, S. Incerti
35 //
36 // 15.01.2014: creation
37 //
38 
40 
41 // Constructor
42 
44 { }
45 
46 // Destructor
47 
49 { }
50 
52 { return new G4DNACPA100LogLogInterpolation; }
53 
54 
56  const G4DataVector& points,
57  const G4DataVector& data) const
58 {
59  //G4cout << "G4DNACPA100LogLogInterpolation is performed (2 arguments) " << G4endl;
60  G4int nBins = data.size() - 1;
61 //G4double oldresult = 0.;
62  G4double value = 0.;
63  if (x < points[0])
64  {
65  value = 0.;
66  }
67  else if (bin < nBins)
68  {
69  G4double e1 = points[bin];
70  G4double e2 = points[bin+1];
71  G4double d1 = data[bin];
72  G4double d2 = data[bin+1];
73 // Check of e1, e2, d1 and d2 values to avoid floating-point errors when estimating the interpolated value below -- S.I., Jun. 2008
74  if ((d1 > 0.) && (d2 > 0.) && (e1 > 0.) && (e2 > 0.))
75  {
76 // Streamline the Log-Log Interpolation formula in order to reduce the required number of log10() function calls
77 // Variable oldresult contains the result of old implementation of Log-Log interpolation -- M.G.P. Jun. 2001
78 // oldresult = (std::log10(d1)*std::log10(e2/x) + std::log10(d2)*std::log10(x/e1)) / std::log10(e2/e1);
79 // oldresult = std::pow(10.,oldresult);
80 // Variable value contains the result of new implementation, after streamlining the math operation -- N.A.K. Oct. 2008
81  value = std::log10(d1)+(std::log10(d2/d1)/std::log10(e2/e1)*std::log10(x/e1));
82  value = std::pow(10.,value);
83 // Test of the new implementation result (value variable) against the old one (oldresult) -- N.A.K. Dec. 2008
84 // G4double diffResult = value - oldresult;
85 // G4double relativeDiff = 1e-11;
86 // Comparison of the two values based on a max allowable relative difference
87 // if ( std::fabs(diffResult) > relativeDiff*std::fabs(oldresult) )
88 // {
89 // Abort comparison when at least one of two results is infinite
90 // if ((!std::isinf(oldresult)) && (!std::isinf(value)))
91 // {
92 // G4cout << "G4DNACPA100LogLogInterpolation> Old Interpolated Value is:" << oldresult << G4endl;
93 // G4cout << "G4DNACPA100LogLogInterpolation> New Interpolated Value is:" << value << G4endl << G4endl;
94 // G4cerr << "G4DNACPA100LogLogInterpolation> Error in Interpolation:" << G4endl;
95 // G4cerr << "The difference between new and old interpolated value is:" << diffResult << G4endl << G4endl;
96 // }
97 // }
98  }
99  else value = 0.;
100  }
101  else
102  {
103  value = data[nBins];
104  }
105  return value;
106 }
107 
108 
109 // Nicolas A. Karakatsanis: New implementation of log-log interpolation after directly loading
110 // logarithmic values from G4EMLOW dataset
111 
113  const G4DataVector& points,
114  const G4DataVector& data,
115  const G4DataVector& log_points,
116  const G4DataVector& log_data) const
117 {
118  G4int nBins = data.size() - 1;
119  G4double value = 0.;
120  G4double log_x = std::log10(x);
121  if (x < points[0])
122  {
123  value = 0.;
124  }
125  else if (bin < nBins)
126  {
127  G4double log_e1 = log_points[bin];
128  //G4double log_e2 = log_points[bin+1];
129  G4double log_d1 = log_data[bin];
130  G4double log_d2 = log_data[bin+1];
131 
132  //G4cout << "x = " << x << " , logx = " << log_x << " , bin = " << bin << G4endl;
133  //G4cout << "e1 = " << points[bin] << " d1 = " << data[bin] << G4endl;
134  //G4cout << "e2 = " << points[bin+1] << " d2 = " << data[bin+1] << G4endl;
135  //G4cout << "loge1 = " << log_e1 << " logd1 = " << log_d1 << G4endl;
136  //G4cout << "loge2 = " << log_e2 << " logd2 = " << log_d2 << G4endl;
137  //G4cout << "interpol " << log_d1 + (log_d2 - log_d1)*(log_x - log_e1)/(log_e2 - log_e1) << " " << G4endl;
138 
139 
140  // Values e1, e2, d1 and d2 are the log values of the corresponding
141  // original energy and data values. Simple linear interpolation performed
142  // on loagarithmic data should be equivalent to log-log interpolation
143 
144  // CPA100 specific
145  //value = log_d1 + (log_d2 - log_d1)*(log_x - log_e1)/(log_e2 - log_e1);
146  // value = log_d1;
147 
148  value = log_d2; // UPPER VALUE INTERPOLATION
149  if (log_x == log_e1) value = log_d1; // IN CASE OF EQUALITY
150 
151 // Delogarithmize to obtain interpolated value
152  value = std::pow(10.,value);
153  }
154  else
155  {
156  value = data[nBins];
157  }
158 
159  return value;
160 }
Float_t x
Definition: compare.C:6
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double G4double
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int G4int
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