[230f479] | 1 | /** |
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| 2 | This software was developed by the University of Tennessee as part of the |
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| 3 | Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 4 | project funded by the US National Science Foundation. |
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| 5 | |
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| 6 | If you use DANSE applications to do scientific research that leads to |
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| 7 | publication, we ask that you acknowledge the use of the software with the |
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| 8 | following sentence: |
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| 9 | |
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| 10 | "This work benefited from DANSE software developed under NSF award DMR-0520547." |
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| 11 | |
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| 12 | copyright 2010, University of Tennessee |
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| 13 | */ |
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| 14 | |
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| 15 | /** |
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| 16 | * Scattering model classes |
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| 17 | * The classes use the IGOR library found in |
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| 18 | * sansmodels/src/libigor |
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| 19 | */ |
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| 20 | |
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| 21 | #include <math.h> |
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| 22 | #include "parameters.hh" |
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| 23 | #include <stdio.h> |
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| 24 | using namespace std; |
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| 25 | |
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| 26 | extern "C" { |
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| 27 | #include "libCylinder.h" |
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| 28 | #include "libStructureFactor.h" |
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| 29 | } |
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| 30 | #include "csparallelepiped.h" |
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| 31 | |
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| 32 | // Convenience parameter structure |
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| 33 | typedef struct { |
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| 34 | double scale; |
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| 35 | double shortA; |
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| 36 | double midB; |
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| 37 | double longC; |
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| 38 | double rimA; |
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| 39 | double rimB; |
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| 40 | double rimC; |
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| 41 | double sld_rimA; |
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| 42 | double sld_rimB; |
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| 43 | double sld_rimC; |
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| 44 | double sld_pcore; |
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| 45 | double sld_solv; |
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| 46 | double background; |
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| 47 | double parallel_theta; |
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| 48 | double parallel_phi; |
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| 49 | double parallel_psi; |
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| 50 | } CSParallelepipedParameters; |
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| 51 | |
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| 52 | static double cspkernel(double dp[],double q, double ala, double alb, double alc){ |
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| 53 | // mu passed in is really mu*sqrt(1-sig^2) |
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| 54 | double argA,argB,argC,argtA,argtB,argtC,tmp1,tmp2,tmp3,tmpt1,tmpt2,tmpt3; //local variables |
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| 55 | |
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| 56 | double aa,bb,cc, ta,tb,tc; |
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| 57 | double Vin,Vot,V1,V2,V3; |
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| 58 | double rhoA,rhoB,rhoC, rhoP, rhosolv; |
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| 59 | double dr0, drA,drB, drC; |
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| 60 | double retVal; |
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| 61 | |
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| 62 | aa = dp[1]; |
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| 63 | bb = dp[2]; |
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| 64 | cc = dp[3]; |
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| 65 | ta = dp[4]; |
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| 66 | tb = dp[5]; |
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| 67 | tc = dp[6]; |
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| 68 | rhoA=dp[7]; |
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| 69 | rhoB=dp[8]; |
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| 70 | rhoC=dp[9]; |
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| 71 | rhoP=dp[10]; |
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| 72 | rhosolv=dp[11]; |
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| 73 | dr0=rhoP-rhosolv; |
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| 74 | drA=rhoA-rhosolv; |
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| 75 | drB=rhoB-rhosolv; |
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| 76 | drC=rhoC-rhosolv; |
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| 77 | Vin=(aa*bb*cc); |
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| 78 | Vot=(aa*bb*cc+2.0*ta*bb*cc+2.0*aa*tb*cc+2.0*aa*bb*tc); |
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| 79 | V1=(2.0*ta*bb*cc); // incorrect V1 (aa*bb*cc+2*ta*bb*cc) |
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| 80 | V2=(2.0*aa*tb*cc); // incorrect V2(aa*bb*cc+2*aa*tb*cc) |
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| 81 | V3=(2.0*aa*bb*tc); |
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| 82 | //aa = aa/bb; |
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| 83 | ta=(aa+2.0*ta);///bb; |
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| 84 | tb=(aa+2.0*tb);///bb; |
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| 85 | tc=(aa+2.0*tc); |
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| 86 | //handle arg=0 separately, as sin(t)/t -> 1 as t->0 |
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| 87 | argA = q*aa*ala/2.0; |
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| 88 | argB = q*bb*alb/2.0; |
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| 89 | argC = q*cc*alc/2.0; |
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| 90 | argtA = q*ta*ala/2.0; |
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| 91 | argtB = q*tb*alb/2.0; |
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| 92 | argtC = q*tc*alc/2.0; |
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| 93 | |
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| 94 | if(argA==0.0) { |
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| 95 | tmp1 = 1.0; |
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| 96 | } else { |
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| 97 | tmp1 = sin(argA)/argA; |
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| 98 | } |
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| 99 | if (argB==0.0) { |
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| 100 | tmp2 = 1.0; |
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| 101 | } else { |
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| 102 | tmp2 = sin(argB)/argB; |
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| 103 | } |
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| 104 | |
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| 105 | if (argC==0.0) { |
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| 106 | tmp3 = 1.0; |
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| 107 | } else { |
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| 108 | tmp3 = sin(argC)/argC; |
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| 109 | } |
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| 110 | if(argtA==0.0) { |
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| 111 | tmpt1 = 1.0; |
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| 112 | } else { |
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| 113 | tmpt1 = sin(argtA)/argtA; |
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| 114 | } |
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| 115 | if (argtB==0.0) { |
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| 116 | tmpt2 = 1.0; |
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| 117 | } else { |
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| 118 | tmpt2 = sin(argtB)/argtB; |
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| 119 | } |
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| 120 | if (argtC==0.0) { |
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| 121 | tmpt3 = 1.0; |
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| 122 | } else { |
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| 123 | tmpt3 = sin(argtC)*sin(argtC)/argtC/argtC; |
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| 124 | } |
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| 125 | // This expression is different from NIST/IGOR package (I strongly believe the IGOR is wrong!!!). 10/15/2010. |
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| 126 | retVal =( dr0*tmp1*tmp2*tmp3*Vin + drA*(tmpt1-tmp1)*tmp2*tmp3*V1+ drB*tmp1*(tmpt2-tmp2)*tmp3*V2 + drC*tmp1*tmp2*(tmpt3-tmp3)*V3)* |
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| 127 | ( dr0*tmp1*tmp2*tmp3*Vin + drA*(tmpt1-tmp1)*tmp2*tmp3*V1+ drB*tmp1*(tmpt2-tmp2)*tmp3*V2 + drC*tmp1*tmp2*(tmpt3-tmp3)*V3); // correct FF : square of sum of phase factors |
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| 128 | //retVal *= (tmp3*tmp3); |
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| 129 | retVal /= Vot; |
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| 130 | |
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| 131 | return (retVal); |
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| 132 | |
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| 133 | }//Function cspkernel() |
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| 134 | |
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| 135 | /** |
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| 136 | * Function to evaluate 2D scattering function |
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| 137 | * @param pars: parameters of the CSparallelepiped |
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| 138 | * @param q: q-value |
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| 139 | * @param q_x: q_x / q |
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| 140 | * @param q_y: q_y / q |
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| 141 | * @return: function value |
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| 142 | */ |
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| 143 | static double csparallelepiped_analytical_2D_scaled(CSParallelepipedParameters *pars, double q, double q_x, double q_y) { |
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| 144 | double dp[13]; |
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| 145 | double cparallel_x, cparallel_y, bparallel_x, bparallel_y, parallel_x, parallel_y; |
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| 146 | //double q_z; |
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| 147 | double cos_val_c, cos_val_b, cos_val_a, edgeA, edgeB, edgeC; |
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| 148 | |
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| 149 | double answer; |
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| 150 | //convert angle degree to radian |
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| 151 | double pi = 4.0*atan(1.0); |
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| 152 | double theta = pars->parallel_theta * pi/180.0; |
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| 153 | double phi = pars->parallel_phi * pi/180.0; |
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| 154 | double psi = pars->parallel_psi* pi/180.0; |
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| 155 | |
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| 156 | // Fill paramater array |
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| 157 | dp[0] = 1.0; |
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| 158 | dp[1] = pars->shortA; |
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| 159 | dp[2] = pars->midB; |
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| 160 | dp[3] = pars->longC; |
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| 161 | dp[4] = pars->rimA; |
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| 162 | dp[5] = pars->rimB; |
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| 163 | dp[6] = pars->rimC; |
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| 164 | dp[7] = pars->sld_rimA; |
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| 165 | dp[8] = pars->sld_rimB; |
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| 166 | dp[9] = pars->sld_rimC; |
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| 167 | dp[10] = pars->sld_pcore; |
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| 168 | dp[11] = pars->sld_solv; |
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| 169 | dp[12] = 0.0; |
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| 170 | |
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| 171 | |
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| 172 | edgeA = pars->shortA; |
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| 173 | edgeB = pars->midB; |
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| 174 | edgeC = pars->longC; |
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| 175 | |
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| 176 | |
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| 177 | // parallelepiped c axis orientation |
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| 178 | cparallel_x = cos(theta) * cos(phi); |
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| 179 | cparallel_y = sin(theta); |
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| 180 | //cparallel_z = -cos(theta) * sin(phi); |
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| 181 | |
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| 182 | // q vector |
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| 183 | //q_z = 0.0; |
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| 184 | |
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| 185 | // Compute the angle btw vector q and the |
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| 186 | // axis of the parallelepiped |
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| 187 | cos_val_c = cparallel_x*q_x + cparallel_y*q_y;// + cparallel_z*q_z; |
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| 188 | //alpha = acos(cos_val_c); |
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| 189 | |
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| 190 | // parallelepiped a axis orientation |
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| 191 | parallel_x = -cos(phi)*sin(psi) * sin(theta)+sin(phi)*cos(psi); |
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| 192 | parallel_y = sin(psi)*cos(theta); |
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| 193 | |
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| 194 | cos_val_a = parallel_x*q_x + parallel_y*q_y; |
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| 195 | |
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| 196 | |
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| 197 | |
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| 198 | // parallelepiped b axis orientation |
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| 199 | bparallel_x = -sin(theta)*cos(psi)*cos(phi)-sin(psi)*sin(phi); |
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| 200 | bparallel_y = cos(theta)*cos(psi); |
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| 201 | // axis of the parallelepiped |
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| 202 | cos_val_b = bparallel_x*q_x + bparallel_y*q_y; |
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| 203 | |
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| 204 | // The following test should always pass |
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| 205 | if (fabs(cos_val_c)>1.0) { |
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| 206 | //printf("parallel_ana_2D: Unexpected error: cos(alpha)>1\n"); |
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| 207 | cos_val_c = 1.0; |
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| 208 | } |
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| 209 | if (fabs(cos_val_a)>1.0) { |
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| 210 | //printf("parallel_ana_2D: Unexpected error: cos(alpha)>1\n"); |
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| 211 | cos_val_a = 1.0; |
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| 212 | } |
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| 213 | if (fabs(cos_val_b)>1.0) { |
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| 214 | //printf("parallel_ana_2D: Unexpected error: cos(alpha)>1\n"); |
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| 215 | cos_val_b = 1.0; |
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| 216 | } |
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| 217 | // Call the IGOR library function to get the kernel |
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| 218 | answer = cspkernel( dp, q, cos_val_a, cos_val_b, cos_val_c); |
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| 219 | |
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| 220 | //convert to [cm-1] |
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| 221 | answer *= 1.0e8; |
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| 222 | |
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| 223 | //Scale |
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| 224 | answer *= pars->scale; |
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| 225 | |
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| 226 | // add in the background |
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| 227 | answer += pars->background; |
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| 228 | |
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| 229 | return answer; |
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| 230 | } |
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| 231 | |
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| 232 | /** |
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| 233 | * Function to evaluate 2D scattering function |
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| 234 | * @param pars: parameters of the CSparallelepiped |
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| 235 | * @param q: q-value |
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| 236 | * @return: function value |
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| 237 | */ |
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| 238 | static double csparallelepiped_analytical_2DXY(CSParallelepipedParameters *pars, double qx, double qy) { |
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| 239 | double q; |
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| 240 | q = sqrt(qx*qx+qy*qy); |
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| 241 | return csparallelepiped_analytical_2D_scaled(pars, q, qx/q, qy/q); |
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| 242 | } |
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| 243 | |
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| 244 | |
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| 245 | |
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| 246 | |
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| 247 | CSParallelepipedModel :: CSParallelepipedModel() { |
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| 248 | scale = Parameter(1.0); |
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| 249 | shortA = Parameter(35.0, true); |
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| 250 | shortA.set_min(1.0); |
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| 251 | midB = Parameter(75.0, true); |
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| 252 | midB.set_min(1.0); |
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| 253 | longC = Parameter(400.0, true); |
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| 254 | longC.set_min(1.0); |
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| 255 | rimA = Parameter(10.0, true); |
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| 256 | rimB = Parameter(10.0, true); |
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| 257 | rimC = Parameter(10.0, true); |
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| 258 | sld_rimA = Parameter(2.0e-6, true); |
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| 259 | sld_rimB = Parameter(4.0e-6, true); |
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| 260 | sld_rimC = Parameter(2.0e-6, true); |
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| 261 | sld_pcore = Parameter(1.0e-6); |
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| 262 | sld_solv = Parameter(6.0e-6); |
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| 263 | background = Parameter(0.06); |
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| 264 | parallel_theta = Parameter(0.0, true); |
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| 265 | parallel_phi = Parameter(0.0, true); |
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| 266 | parallel_psi = Parameter(0.0, true); |
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| 267 | } |
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| 268 | |
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| 269 | /** |
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| 270 | * Function to evaluate 1D scattering function |
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| 271 | * The NIST IGOR library is used for the actual calculation. |
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| 272 | * @param q: q-value |
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| 273 | * @return: function value |
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| 274 | */ |
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| 275 | double CSParallelepipedModel :: operator()(double q) { |
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| 276 | double dp[13]; |
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| 277 | |
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| 278 | // Fill parameter array for IGOR library |
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| 279 | // Add the background after averaging |
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| 280 | dp[0] = scale(); |
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| 281 | dp[1] = shortA(); |
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| 282 | dp[2] = midB(); |
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| 283 | dp[3] = longC(); |
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| 284 | dp[4] = rimA(); |
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| 285 | dp[5] = rimB(); |
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| 286 | dp[6] = rimC(); |
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| 287 | dp[7] = sld_rimA(); |
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| 288 | dp[8] = sld_rimB(); |
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| 289 | dp[9] = sld_rimC(); |
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| 290 | dp[10] = sld_pcore(); |
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| 291 | dp[11] = sld_solv(); |
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| 292 | dp[12] = 0.0; |
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| 293 | |
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| 294 | // Get the dispersion points for the short_edgeA |
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| 295 | vector<WeightPoint> weights_shortA; |
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| 296 | shortA.get_weights(weights_shortA); |
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| 297 | |
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| 298 | // Get the dispersion points for the longer_edgeB |
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| 299 | vector<WeightPoint> weights_midB; |
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| 300 | midB.get_weights(weights_midB); |
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| 301 | |
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| 302 | // Get the dispersion points for the longuest_edgeC |
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| 303 | vector<WeightPoint> weights_longC; |
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| 304 | longC.get_weights(weights_longC); |
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| 305 | |
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| 306 | |
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| 307 | |
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| 308 | // Perform the computation, with all weight points |
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| 309 | double sum = 0.0; |
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| 310 | double norm = 0.0; |
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| 311 | double vol = 0.0; |
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| 312 | |
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| 313 | // Loop over short_edgeA weight points |
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| 314 | for(int i=0; i< (int)weights_shortA.size(); i++) { |
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| 315 | dp[1] = weights_shortA[i].value; |
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| 316 | |
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| 317 | // Loop over longer_edgeB weight points |
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| 318 | for(int j=0; j< (int)weights_midB.size(); j++) { |
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| 319 | dp[2] = weights_midB[j].value; |
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| 320 | |
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| 321 | // Loop over longuest_edgeC weight points |
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| 322 | for(int k=0; k< (int)weights_longC.size(); k++) { |
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| 323 | dp[3] = weights_longC[k].value; |
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| 324 | //Un-normalize by volume |
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| 325 | sum += weights_shortA[i].weight * weights_midB[j].weight |
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| 326 | * weights_longC[k].weight * CSParallelepiped(dp, q) |
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| 327 | * weights_shortA[i].value*weights_midB[j].value |
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| 328 | * weights_longC[k].value; |
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| 329 | //Find average volume |
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| 330 | vol += weights_shortA[i].weight * weights_midB[j].weight |
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| 331 | * weights_longC[k].weight |
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| 332 | * weights_shortA[i].value * weights_midB[j].value |
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| 333 | * weights_longC[k].value; |
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| 334 | |
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| 335 | norm += weights_shortA[i].weight |
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| 336 | * weights_midB[j].weight * weights_longC[k].weight; |
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| 337 | } |
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| 338 | } |
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| 339 | } |
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| 340 | if (vol != 0.0 && norm != 0.0) { |
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| 341 | //Re-normalize by avg volume |
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| 342 | sum = sum/(vol/norm);} |
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| 343 | |
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| 344 | return sum/norm + background(); |
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| 345 | } |
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| 346 | /** |
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| 347 | * Function to evaluate 2D scattering function |
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| 348 | * @param q_x: value of Q along x |
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| 349 | * @param q_y: value of Q along y |
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| 350 | * @return: function value |
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| 351 | */ |
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| 352 | double CSParallelepipedModel :: operator()(double qx, double qy) { |
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| 353 | CSParallelepipedParameters dp; |
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| 354 | // Fill parameter array |
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| 355 | dp.scale = scale(); |
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| 356 | dp.shortA = shortA(); |
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| 357 | dp.midB = midB(); |
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| 358 | dp.longC = longC(); |
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| 359 | dp.rimA = rimA(); |
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| 360 | dp.rimB = rimB(); |
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| 361 | dp.rimC = rimC(); |
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| 362 | dp.sld_rimA = sld_rimA(); |
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| 363 | dp.sld_rimB = sld_rimB(); |
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| 364 | dp.sld_rimC = sld_rimC(); |
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| 365 | dp.sld_pcore = sld_pcore(); |
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| 366 | dp.sld_solv = sld_solv(); |
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| 367 | dp.background = 0.0; |
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| 368 | //dp.background = background(); |
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| 369 | dp.parallel_theta = parallel_theta(); |
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| 370 | dp.parallel_phi = parallel_phi(); |
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| 371 | dp.parallel_psi = parallel_psi(); |
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| 372 | |
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| 373 | |
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| 374 | |
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| 375 | // Get the dispersion points for the short_edgeA |
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| 376 | vector<WeightPoint> weights_shortA; |
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| 377 | shortA.get_weights(weights_shortA); |
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| 378 | |
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| 379 | // Get the dispersion points for the longer_edgeB |
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| 380 | vector<WeightPoint> weights_midB; |
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| 381 | midB.get_weights(weights_midB); |
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| 382 | |
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| 383 | // Get the dispersion points for the longuest_edgeC |
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| 384 | vector<WeightPoint> weights_longC; |
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| 385 | longC.get_weights(weights_longC); |
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| 386 | |
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| 387 | // Get angular averaging for theta |
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| 388 | vector<WeightPoint> weights_parallel_theta; |
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| 389 | parallel_theta.get_weights(weights_parallel_theta); |
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| 390 | |
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| 391 | // Get angular averaging for phi |
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| 392 | vector<WeightPoint> weights_parallel_phi; |
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| 393 | parallel_phi.get_weights(weights_parallel_phi); |
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| 394 | |
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| 395 | // Get angular averaging for psi |
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| 396 | vector<WeightPoint> weights_parallel_psi; |
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| 397 | parallel_psi.get_weights(weights_parallel_psi); |
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| 398 | |
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| 399 | // Perform the computation, with all weight points |
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| 400 | double sum = 0.0; |
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| 401 | double norm = 0.0; |
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| 402 | double norm_vol = 0.0; |
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| 403 | double vol = 0.0; |
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| 404 | double pi = 4.0*atan(1.0); |
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| 405 | |
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| 406 | // Loop over radius weight points |
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| 407 | for(int i=0; i< (int)weights_shortA.size(); i++) { |
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| 408 | dp.shortA = weights_shortA[i].value; |
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| 409 | |
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| 410 | // Loop over longer_edgeB weight points |
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| 411 | for(int j=0; j< (int)weights_midB.size(); j++) { |
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| 412 | dp.midB = weights_midB[j].value; |
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| 413 | |
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| 414 | // Average over longuest_edgeC distribution |
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| 415 | for(int k=0; k< (int)weights_longC.size(); k++) { |
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| 416 | dp.longC = weights_longC[k].value; |
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| 417 | |
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| 418 | // Average over theta distribution |
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| 419 | for(int l=0; l< (int)weights_parallel_theta.size(); l++) { |
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| 420 | dp.parallel_theta = weights_parallel_theta[l].value; |
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| 421 | |
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| 422 | // Average over phi distribution |
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| 423 | for(int m=0; m< (int)weights_parallel_phi.size(); m++) { |
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| 424 | dp.parallel_phi = weights_parallel_phi[m].value; |
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| 425 | |
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| 426 | // Average over phi distribution |
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| 427 | for(int n=0; n< (int)weights_parallel_psi.size(); n++) { |
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| 428 | dp.parallel_psi = weights_parallel_psi[n].value; |
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| 429 | //Un-normalize by volume |
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| 430 | double _ptvalue = weights_shortA[i].weight |
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| 431 | * weights_midB[j].weight |
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| 432 | * weights_longC[k].weight |
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| 433 | * weights_parallel_theta[l].weight |
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| 434 | * weights_parallel_phi[m].weight |
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| 435 | * weights_parallel_psi[n].weight |
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| 436 | * csparallelepiped_analytical_2DXY(&dp, qx, qy) |
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| 437 | * weights_shortA[i].value*weights_midB[j].value |
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| 438 | * weights_longC[k].value; |
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| 439 | |
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| 440 | if (weights_parallel_theta.size()>1) { |
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| 441 | _ptvalue *= fabs(cos(weights_parallel_theta[l].value*pi/180.0)); |
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| 442 | } |
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| 443 | sum += _ptvalue; |
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| 444 | //Find average volume |
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| 445 | vol += weights_shortA[i].weight |
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| 446 | * weights_midB[j].weight |
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| 447 | * weights_longC[k].weight |
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| 448 | * weights_shortA[i].value*weights_midB[j].value |
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| 449 | * weights_longC[k].value; |
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| 450 | //Find norm for volume |
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| 451 | norm_vol += weights_shortA[i].weight |
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| 452 | * weights_midB[j].weight |
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| 453 | * weights_longC[k].weight; |
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| 454 | |
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| 455 | norm += weights_shortA[i].weight |
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| 456 | * weights_midB[j].weight |
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| 457 | * weights_longC[k].weight |
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| 458 | * weights_parallel_theta[l].weight |
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| 459 | * weights_parallel_phi[m].weight |
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| 460 | * weights_parallel_psi[n].weight; |
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| 461 | } |
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| 462 | } |
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| 463 | |
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| 464 | } |
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| 465 | } |
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| 466 | } |
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| 467 | } |
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| 468 | // Averaging in theta needs an extra normalization |
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| 469 | // factor to account for the sin(theta) term in the |
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| 470 | // integration (see documentation). |
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| 471 | if (weights_parallel_theta.size()>1) norm = norm / asin(1.0); |
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| 472 | |
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| 473 | if (vol != 0.0 && norm_vol != 0.0) { |
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| 474 | //Re-normalize by avg volume |
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| 475 | sum = sum/(vol/norm_vol);} |
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| 476 | |
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| 477 | return sum/norm + background(); |
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| 478 | } |
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| 479 | |
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| 480 | |
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| 481 | /** |
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| 482 | * Function to evaluate 2D scattering function |
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| 483 | * @param pars: parameters of the cylinder |
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| 484 | * @param q: q-value |
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| 485 | * @param phi: angle phi |
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| 486 | * @return: function value |
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| 487 | */ |
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| 488 | double CSParallelepipedModel :: evaluate_rphi(double q, double phi) { |
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| 489 | double qx = q*cos(phi); |
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| 490 | double qy = q*sin(phi); |
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| 491 | return (*this).operator()(qx, qy); |
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| 492 | } |
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| 493 | /** |
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| 494 | * Function to calculate effective radius |
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| 495 | * @return: effective radius value |
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| 496 | */ |
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| 497 | double CSParallelepipedModel :: calculate_ER() { |
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| 498 | CSParallelepipedParameters dp; |
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| 499 | dp.shortA = shortA(); |
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| 500 | dp.midB = midB(); |
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| 501 | dp.longC = longC(); |
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| 502 | dp.rimA = rimA(); |
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| 503 | dp.rimB = rimB(); |
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| 504 | dp.rimC = rimC(); |
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| 505 | |
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| 506 | double rad_out = 0.0; |
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| 507 | double pi = 4.0*atan(1.0); |
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| 508 | double suf_rad = sqrt((dp.shortA*dp.midB+2.0*dp.rimA*dp.midB+2.0*dp.rimA*dp.shortA)/pi); |
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| 509 | double height =(dp.longC + 2.0*dp.rimC); |
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| 510 | // Perform the computation, with all weight points |
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| 511 | double sum = 0.0; |
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| 512 | double norm = 0.0; |
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| 513 | |
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| 514 | // Get the dispersion points for the short_edgeA |
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| 515 | vector<WeightPoint> weights_shortA; |
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| 516 | shortA.get_weights(weights_shortA); |
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| 517 | |
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| 518 | // Get the dispersion points for the longer_edgeB |
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| 519 | vector<WeightPoint> weights_midB; |
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| 520 | midB.get_weights(weights_midB); |
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| 521 | |
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| 522 | // Get angular averaging for the longuest_edgeC |
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| 523 | vector<WeightPoint> weights_longC; |
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| 524 | longC.get_weights(weights_longC); |
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| 525 | |
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| 526 | // Loop over radius weight points |
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| 527 | for(int i=0; i< (int)weights_shortA.size(); i++) { |
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| 528 | dp.shortA = weights_shortA[i].value; |
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| 529 | |
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| 530 | // Loop over longer_edgeB weight points |
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| 531 | for(int j=0; j< (int)weights_midB.size(); j++) { |
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| 532 | dp.midB = weights_midB[j].value; |
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| 533 | |
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| 534 | // Average over longuest_edgeC distribution |
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| 535 | for(int k=0; k< (int)weights_longC.size(); k++) { |
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| 536 | dp.longC = weights_longC[k].value; |
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| 537 | //Calculate surface averaged radius |
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| 538 | //This is rough approximation. |
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| 539 | suf_rad = sqrt((dp.shortA*dp.midB+2.0*dp.rimA*dp.midB+2.0*dp.rimA*dp.shortA)/pi); |
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| 540 | height =(dp.longC + 2.0*dp.rimC); |
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| 541 | //Note: output of "DiamCyl(dp.length,dp.radius)" is a DIAMETER. |
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| 542 | sum +=weights_shortA[i].weight* weights_midB[j].weight |
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| 543 | * weights_longC[k].weight*DiamCyl(height, suf_rad)/2.0; |
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| 544 | norm += weights_shortA[i].weight* weights_midB[j].weight*weights_longC[k].weight; |
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| 545 | } |
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| 546 | } |
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| 547 | } |
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| 548 | |
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| 549 | if (norm != 0){ |
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| 550 | //return the averaged value |
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| 551 | rad_out = sum/norm;} |
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| 552 | else{ |
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| 553 | //return normal value |
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| 554 | //Note: output of "DiamCyl(length,radius)" is DIAMETER. |
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| 555 | rad_out = DiamCyl(dp.longC, suf_rad)/2.0;} |
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| 556 | return rad_out; |
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| 557 | |
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| 558 | } |
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| 559 | double CSParallelepipedModel :: calculate_VR() { |
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| 560 | return 1.0; |
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| 561 | } |
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