1 | /* ======================================================================== *\
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2 | !
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3 | ! *
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4 | ! * This file is part of MARS, the MAGIC Analysis and Reconstruction
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5 | ! * Software. It is distributed to you in the hope that it can be a useful
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6 | ! * and timesaving tool in analyzing Data of imaging Cerenkov telescopes.
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7 | ! * It is distributed WITHOUT ANY WARRANTY.
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8 | ! *
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9 | ! * Permission to use, copy, modify and distribute this software and its
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10 | ! * documentation for any purpose is hereby granted without fee,
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11 | ! * provided that the above copyright notice appear in all copies and
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12 | ! * that both that copyright notice and this permission notice appear
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13 | ! * in supporting documentation. It is provided "as is" without express
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14 | ! * or implied warranty.
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15 | ! *
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16 | !
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17 | ! Author(s): Thomas Bretz <mailto:tbretz@astro.uni-wuerzbrug.de>
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18 | ! Author(s): Markus Gaug 09/2004 <mailto:markus@ifae.es>
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19 | !
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20 | ! Copyright: MAGIC Software Development, 2002-2009
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21 | !
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22 | !
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23 | \* ======================================================================== */
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24 |
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25 | //////////////////////////////////////////////////////////////////////////////
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26 | //
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27 | // MExtralgoSpline
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28 | //
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29 | // Fast Spline extractor using a cubic spline algorithm, adapted from
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30 | // Numerical Recipes in C++, 2nd edition, pp. 116-119.
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31 | //
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32 | // The coefficients "ya" are here denoted as "fVal" corresponding to
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33 | // the FADC value subtracted by the clock-noise corrected pedestal.
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34 | //
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35 | // The coefficients "y2a" get immediately divided 6. and are called here
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36 | // fDer2 although they are now not exactly the second derivative
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37 | // coefficients any more.
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38 | //
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39 | // The calculation of the cubic-spline interpolated value "y" on a point
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40 | // "x" along the FADC-slices axis becomes: EvalAt(x)
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41 | //
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42 | // The coefficients fDer2 are calculated with the simplified
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43 | // algorithm in InitDerivatives.
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44 | //
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45 | // This algorithm takes advantage of the fact that the x-values are all
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46 | // separated by exactly 1 which simplifies the Numerical Recipes algorithm.
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47 | // (Note that the variables fDer are not real first derivative coefficients.)
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48 | //
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49 | // Note, this spline is not optimized to be evaluated many many times, but
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50 | // it is optimized to be initialized very fast with new values again and
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51 | // again.
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52 | //
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53 | //////////////////////////////////////////////////////////////////////////////
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54 | #include "MExtralgoSpline.h"
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55 |
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56 | #include <TRandom.h>
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57 |
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58 | #include "../mbase/MMath.h"
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59 | #include "../mbase/MArrayF.h"
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60 |
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61 | using namespace std;
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62 |
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63 | // --------------------------------------------------------------------------
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64 | //
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65 | // Calculate the first and second derivative for the splie.
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66 | //
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67 | // The coefficients are calculated such that
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68 | // 1) fVal[i] = Eval(i, 0)
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69 | // 2) Eval(i-1, 1)==Eval(i, 0)
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70 | //
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71 | // In other words: The values with the index i describe the spline
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72 | // between fVal[i] and fVal[i+1]
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73 | //
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74 | void MExtralgoSpline::InitDerivatives() const
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75 | {
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76 | if (fNum<2)
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77 | return;
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78 |
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79 | // Look up table for coefficients
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80 | static MArrayF lut;
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81 |
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82 | // If the lut is not yet large enough: resize and reclaculate
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83 | if (fNum>(Int_t)lut.GetSize())
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84 | {
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85 | lut.Set(fNum);
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86 |
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87 | lut[0] = 0.;
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88 | for (Int_t i=1; i<fNum-1; i++)
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89 | lut[i] = -1.0/(lut[i-1] + 4);
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90 | }
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91 |
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92 | // Calculate the coefficients used to get reproduce the first and
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93 | // second derivative.
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94 | fDer1[0] = 0.;
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95 | for (Int_t i=1; i<fNum-1; i++)
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96 | {
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97 | const Float_t d1 = fVal[i+1] - 2*fVal[i] + fVal[i-1];
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98 | fDer1[i] = (fDer1[i-1]-d1)*lut[i];
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99 | }
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100 |
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101 | fDer2[fNum-1] = 0.;
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102 | for (Int_t k=fNum-2; k>=0; k--)
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103 | fDer2[k] = lut[k]*fDer2[k+1] + fDer1[k];
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104 | }
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105 |
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106 | // --------------------------------------------------------------------------
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107 | //
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108 | // Return the two results x1 and x2 of f'(x)=0 for the third order
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109 | // polynomial (spline) in the interval i. Return the number of results.
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110 | // (0 if the fist derivative does not have a null-point)
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111 | //
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112 | Int_t MExtralgoSpline::EvalDerivEq0(const Int_t i, Double_t &x1, Double_t &x2) const
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113 | {
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114 | const Double_t difder = fDer2[i+1]-fDer2[i];
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115 | const Double_t difval = fVal[i+1] -fVal[i];
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116 |
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117 | return MMath::SolvePol2(3*difder, 6*fDer2[i], difval-2*fDer2[i]-fDer2[i+1], x1, x2);
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118 | }
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119 |
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120 | // --------------------------------------------------------------------------
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121 | //
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122 | // Solve the polynomial
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123 | //
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124 | // y = a*x^3 + b*x^2 + c*x + d'
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125 | // 0 = a*x^3 + b*x^2 + c*x + d' - y
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126 | //
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127 | // to find y in the i-th bin. Return the result as x1, x2, x3 and the return
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128 | // code from MMath::SolvPol3.
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129 | //
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130 | Int_t MExtralgoSpline::SolvePol3(Int_t i, Double_t y, Double_t &x1, Double_t &x2, Double_t &x3) const
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131 | {
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132 | // y = a*x^3 + b*x^2 + c*x + d'
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133 | // 0 = a*x^3 + b*x^2 + c*x + d' - y
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134 |
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135 | // Calculate coefficients
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136 | const Double_t a = fDer2[i+1]-fDer2[i];
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137 | const Double_t b = 3*fDer2[i];
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138 | const Double_t c = fVal[i+1]-fVal[i] -2*fDer2[i]-fDer2[i+1];
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139 | const Double_t d = fVal[i] - y;
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140 |
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141 | // If the first derivative is nowhere==0 and it is increasing
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142 | // in one point, and the value we search is outside of the
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143 | // y-interval... it cannot be there
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144 | // if (c>0 && (d>0 || fVal[i+1]<y) && b*b<3*c*a)
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145 | // return -2;
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146 |
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147 | return MMath::SolvePol3(a, b, c, d, x1, x2, x3);
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148 | }
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149 |
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150 | // --------------------------------------------------------------------------
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151 | //
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152 | // Returns the highest x value in [min;max[ at which the spline in
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153 | // the bin i is equal to y
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154 | //
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155 | // min and max must be in the range [0;1]
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156 | //
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157 | // The default for min is 0, the default for max is 1
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158 | // The default for y is 0
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159 | //
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160 | Double_t MExtralgoSpline::FindYdn(Int_t i, Double_t y, Double_t min, Double_t max) const
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161 | {
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162 | Double_t x1, x2, x3;
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163 | const Int_t rc = SolvePol3(i, y, x1, x2, x3);
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164 |
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165 | Double_t x = -1;
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166 |
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167 | if (rc>0 && x1>=min && x1<max && x1>x)
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168 | x = x1;
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169 | if (rc>1 && x2>=min && x2<max && x2>x)
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170 | x = x2;
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171 | if (rc>2 && x3>=min && x3<max && x3>x)
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172 | x = x3;
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173 |
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174 | return x<0 ? -2 : x+i;
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175 | }
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176 |
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177 | // --------------------------------------------------------------------------
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178 | //
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179 | // Returns the lowest x value in [min;max[ at which the spline in
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180 | // the bin i is equal to y
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181 | //
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182 | // min and max must be in the range [0;1]
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183 | //
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184 | // The default for min is 0, the default for max is 1
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185 | // The default for y is 0
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186 | //
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187 | Double_t MExtralgoSpline::FindYup(Int_t i, Double_t y, Double_t min, Double_t max) const
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188 | {
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189 | Double_t x1, x2, x3;
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190 | const Int_t rc = SolvePol3(i, y, x1, x2, x3);
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191 |
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192 | Double_t x = 2;
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193 |
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194 | if (rc>0 && x1>min && x1<=max && x1<x)
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195 | x = x1;
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196 | if (rc>1 && x2>min && x2<=max && x2<x)
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197 | x = x2;
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198 | if (rc>2 && x3>min && x3<=max && x3<x)
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199 | x = x3;
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200 |
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201 | return x>1 ? -2 : x+i;
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202 | }
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203 |
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204 | // --------------------------------------------------------------------------
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205 | //
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206 | // Search analytically downward for the value y of the spline, starting
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207 | // at x, until x==0. If y is not found or out of range -2 is returned.
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208 | //
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209 | Double_t MExtralgoSpline::SearchYdn(Double_t x, Double_t y) const
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210 | {
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211 | if (x>=fNum-1)
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212 | x = fNum-1.0001;
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213 |
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214 | Int_t i = TMath::FloorNint(x);
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215 | if (i<0)
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216 | return -2;
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217 |
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218 | Double_t rc = FindYdn(i, y, 0, x-i);
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219 | while (--i>=0 && rc<0)
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220 | rc = FindYdn(i, y);
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221 |
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222 | return rc;
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223 | }
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224 |
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225 | // --------------------------------------------------------------------------
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226 | //
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227 | // Search analytically upwards for the value y of the spline, starting
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228 | // at x, until x==fNum-1. If y is not found or out of range -2 is returned.
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229 | //
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230 | Double_t MExtralgoSpline::SearchYup(Double_t x, Double_t y) const
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231 | {
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232 | if (x<0)
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233 | x = 0.0001;
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234 |
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235 | Int_t i = TMath::FloorNint(x);
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236 | if (i>fNum-2)
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237 | return -2;
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238 |
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239 | Double_t rc = FindYup(i, y, x-i, 1.);
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240 | while (++i<fNum-1 && rc<0)
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241 | rc = FindYup(i, y);
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242 |
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243 | return rc;
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244 | }
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245 |
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246 | // --------------------------------------------------------------------------
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247 | //
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248 | // Do a range check an then calculate the integral from start-fRiseTime
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249 | // to start+fFallTime. An extrapolation of 0.5 slices is allowed.
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250 | //
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251 | Float_t MExtralgoSpline::CalcIntegral(Float_t pos) const
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252 | {
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253 | // We allow extrapolation of 1/2 slice.
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254 | const Float_t min = fRiseTime; //-0.5+fRiseTime;
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255 | const Float_t max = fNum-1-fFallTime; //fNum-0.5+fFallTime;
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256 |
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257 | if (pos<min)
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258 | pos = min;
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259 | if (pos>max)
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260 | pos = max;
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261 |
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262 | return EvalInteg(pos-fRiseTime, pos+fFallTime);
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263 | }
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264 |
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265 | Float_t MExtralgoSpline::CalcIntegral(Float_t beg, Float_t width) const
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266 | {
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267 | Float_t end = beg + width;
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268 |
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269 | if (beg<0)
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270 | {
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271 | end -= beg;
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272 | beg = 0;
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273 | }
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274 |
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275 | if (end>fNum-1)
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276 | {
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277 | beg -= (end-fNum-1);
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278 | end = fNum-1;
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279 | }
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280 |
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281 | return EvalInteg(beg, end);
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282 | }
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283 |
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284 | MArrayF MExtralgoSpline::GetIntegral(bool norm) const
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285 | {
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286 | MArrayF val(fNum);
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287 |
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288 | //val[0] = 0;
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289 |
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290 | Double_t integ = 0;
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291 | for (int i=0; i<fNum-1; i++)
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292 | {
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293 | integ += EvalInteg(i);
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294 |
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295 | val[i+1] = integ;
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296 | }
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297 |
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298 | if (norm)
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299 | for (int i=0; i<fNum-1; i++)
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300 | val[i+1] /= val[fNum-1];
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301 |
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302 | return val;
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303 | }
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304 |
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305 | Float_t MExtralgoSpline::ExtractNoise()
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306 | {
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307 | if (fNum<5)
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308 | return 0;
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309 |
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310 | if (!(fExtractionType&kIntegral))
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311 | {
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312 | const Int_t pos = gRandom->Integer(fNum-1);
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313 | const Float_t nsx = gRandom->Uniform();
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314 | return Eval(pos, nsx);
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315 | }
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316 | else
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317 | {
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318 | const Float_t pos = gRandom->Uniform(fNum-1-fRiseTime-fFallTime)+fRiseTime;
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319 | return CalcIntegral(pos);
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320 | }
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321 | }
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322 |
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323 | void MExtralgoSpline::Extract(Int_t maxbin, Bool_t width)
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324 | {
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325 | fSignal = 0;
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326 | fTime = 0;
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327 | fWidth = 0;
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328 | fSignalDev = -1;
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329 | fTimeDev = -1;
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330 | fWidthDev = -1;
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331 |
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332 | if (fNum<2)
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333 | return;
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334 |
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335 | Float_t maxpos;
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336 | // FIXME: Check the default if no maximum found!!!
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337 | GetMaxAroundI(maxbin, maxpos, fHeight);
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338 |
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339 | // --- End NEW ---
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340 |
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341 | //kDynWidth = kTimeRel|kDynWidth, // Integrate between leading edge and falling edge
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342 | // kFixedWidth = kTimeRel|kFixedWidth, // Integrate between leading edge and edge plus fRiseTime+fFallTime
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343 |
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344 | if (fExtractionType&kIntegral)
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345 | {
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346 | fSignal = CalcIntegral(maxpos);
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347 | fSignalDev = 0; // means: is valid
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348 | }
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349 |
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350 | if (!(fExtractionType&kIntegralDyn) && !(fExtractionType&kIntegralFixed))
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351 | {
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352 | fSignal = fHeight;
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353 | fSignalDev = 0; // means: is valid
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354 | }
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355 |
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356 | // Position of maximum
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357 | if (((fExtractionType&kTimeRel) && fHeightTm<0) || (fExtractionType&kMaximum))
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358 | {
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359 | fTime = maxpos;
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360 | fTimeDev = 0;
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361 | return;
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362 | }
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363 |
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364 | // Position of fraction height or absolute height
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365 | const Float_t h = (fExtractionType&kTimeRel) ? fHeight*fHeightTm : fHeightTm;
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366 |
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367 | // Search downwards for fHeight/2
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368 | // By doing also a search upwards we could extract the pulse width
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369 | fTime = SearchYdn(maxpos, h);
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370 | fTimeDev = 0;
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371 | if (width || fExtractionType&kIntegralDyn)
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372 | {
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373 | fWidth = SearchYup(maxpos, h)-fTime;
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374 | fWidthDev = 0;
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375 | }
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376 |
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377 | if (fExtractionType&kIntegralDyn)
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378 | {
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379 | fSignal = CalcIntegral(fTime, fWidth);
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380 | fSignalDev = 0;
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381 | }
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382 | if (fExtractionType&kIntegralFixed)
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383 | {
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384 | fSignal = CalcIntegral(fTime-fRiseTime, fRiseTime+fFallTime);
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385 | fSignalDev = 0;
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386 | }
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387 | }
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