1 | /* GLoBES -- General LOng Baseline Experiment Simulator |
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2 | * (C) 2002 - 2004, The GLoBES Team |
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3 | * |
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4 | * GLoBES is mainly intended for academic purposes. Proper |
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5 | * credit must be given if you use GLoBES or parts of it. Please |
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6 | * read the section 'Credit' in the README file. |
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7 | * |
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8 | * This program is free software; you can redistribute it and/or modify |
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9 | * it under the terms of the GNU General Public License as published by |
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10 | * the Free Software Foundation; either version 2 of the License, or |
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11 | * (at your option) any later version. |
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12 | * |
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13 | * This program is distributed in the hope that it will be useful, |
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14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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16 | * GNU General Public License for more details. |
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17 | * |
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18 | * You should have received a copy of the GNU General Public License |
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19 | * along with this program; if not, write to the Free Software |
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20 | * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA |
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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 | |
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28 | /* -------------------------------------------------------- |
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29 | * --- Comment on numerical accuracy ---------------------- |
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30 | * -------------------------------------------------------- |
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31 | * The whole code uses double precision, whatever this is |
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32 | * on Your machine. The following information was derived |
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33 | * on 32-bit Pentium III processor. |
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34 | * Even though double precision should give relative errors of |
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35 | * order <1E-12, functions involving minimization like ChiTheta |
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36 | * may be off in the order of 1E-8 (absolute). This may cause |
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37 | * ChiTheta and SingleChiTheta to yield results differing by 1E-8. |
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38 | * The same applies for all other ChiglbXSection and SingleChiglbXSection functions. |
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39 | * The crucial lines are: |
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40 | * erg2 = erg2 |
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41 | * + glb_prior(x[1],start[2],inp_errs[2]) |
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42 | * + glb_prior(x[3],start[4],inp_errs[4]) |
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43 | * + glb_prior(x[4],start[5],inp_errs[5]) |
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44 | * + glb_prior(x[5],(glb_experiment_list[glb_single_experiment_number]).density_center, |
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45 | * (glb_experiment_list[glb_single_experiment_number]).density_error); |
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46 | * in the chi_xxx functions. This looks of course different |
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47 | * in the MDchi_xxx functions. Basically its a matter of how |
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48 | * and in which order the truncations are performed. This may |
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49 | * also change under compiler optimization. In any case the errors |
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50 | * should be very small (i.e. <<1E-6) and should not have any impact |
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51 | * on the physics results. |
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52 | */ |
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53 | |
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54 | |
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55 | #include <stdio.h> |
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56 | #include <stdlib.h> |
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57 | #include <math.h> |
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58 | #include <setjmp.h> |
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59 | #include <globes/globes.h> |
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60 | |
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61 | #include "glb_probability.h" |
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62 | #include "glb_fluxes.h" |
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63 | #include "glb_rate_engine.h" |
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64 | #include "glb_min_sup.h" |
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65 | #include "glb_types.h" |
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66 | #include "glb_multiex.h" |
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67 | #include "glb_error.h" |
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68 | #include "glb_wrapper.h" |
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69 | |
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70 | |
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71 | |
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72 | |
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73 | |
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74 | /* Warning-- fiddling around with these in general may |
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75 | * influence the stability of the minimization process ! |
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76 | * |
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77 | * The latest Recator (D-CHOOZ as in hep-ph/0403068) setups |
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78 | * have TOLSYS 1.0E-12, whereas all the other setups have TOLSYS 1.0E-5 |
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79 | * and TOLSYS 1.0E-8 may be faster by 20% for Nufact (improves convergence |
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80 | * of the second layer of minimization) |
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81 | */ |
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82 | |
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83 | #define TOLSYS 1.0E-8 |
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84 | #define TOLOSC 1.0E-5 |
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85 | |
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86 | |
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87 | /* defines wether the program will run |
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88 | * with (1) or w/o mathematica (0) |
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89 | */ |
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90 | |
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91 | #define GLB_MATHLINK 1 |
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92 | |
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93 | /* Defines wether the thing runs on UNIX (0) or not (1) */ |
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94 | |
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95 | #define UNIX 0 |
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96 | |
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97 | #define FLOAT double |
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98 | |
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99 | //---------------------- |
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100 | |
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101 | /* this is for making the Chi... functions abortable */ |
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102 | static int okay_flag = 0; |
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103 | /* this needed by the wrappers in order not to return garbage */ |
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104 | static jmp_buf env; |
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105 | /* this is need by setjmp() longjmp() */ |
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106 | //-------------------------------------------------------- |
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107 | |
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108 | |
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109 | /* global variabels */ |
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110 | int glb_single_experiment_number=0; |
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111 | |
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112 | |
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113 | static double inp_errs[7]; |
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114 | static double start[7]; |
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115 | static int count=0; |
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116 | static int errordim[32]; |
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117 | static double sysglb_calc_buffer[6]; |
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118 | |
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119 | //------------------------------------------------------------- |
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120 | //------------------ MLAbort handling ------------------ |
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121 | //------------------------------------------------------------- |
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122 | // the whole stuff is being switched of if GLB_MATHLINK is set to 0. |
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123 | |
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124 | // this function handels a caught abort message |
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125 | // and jumps to the point where setjmp(env) has |
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126 | // been called. usually from one of the ChiTheta(), |
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127 | // MDChiTheta() or Chi() or SingleChi(). this |
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128 | // function then will return a garbage value. this |
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129 | // fact is comunicated to the wrappers with the |
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130 | // okay_flag. if they encounter an okay_flag=1 they |
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131 | // will send the Abort[] mathematica comand and then |
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132 | // return. |
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133 | |
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134 | static void ml_abort_handler() |
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135 | { |
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136 | fprintf(stderr,"Mathlink programe catched abort!\n"); |
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137 | longjmp(env,1); |
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138 | } |
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139 | |
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140 | // this function checks wether a abort message is sent by the |
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141 | // math-kernel, if so it calls the ml_abort_handler(). |
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142 | // otherwise it calls MLCallYieldFunction() in order to give |
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143 | // the kernel a possibility to send its message (this should |
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144 | // be needed only in Windows and on MacOS) |
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145 | |
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146 | #ifdef MLabort |
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147 | static void ml_abort_check(int flag) |
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148 | { |
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149 | |
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150 | if(flag==0) return; |
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151 | if(!MLAbort) |
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152 | { |
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153 | if(UNIX==1) MLCallYieldFunction(MLYieldFunction(stdlink), |
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154 | stdlink,(MLYieldParameters)0); |
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155 | } |
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156 | if(MLAbort) |
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157 | { |
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158 | ml_abort_handler(); |
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159 | } |
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160 | } |
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161 | #else |
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162 | static void ml_abort_check(int flag) |
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163 | { |
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164 | /* To silence gcc -Wall */ |
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165 | int i; |
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166 | i=flag; |
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167 | return; |
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168 | } |
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169 | |
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170 | #endif |
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171 | |
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172 | |
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173 | // functions for returning the bfp of systematic parameters |
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174 | |
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175 | static void to_glb_calc_buffer(double sys[],int len) |
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176 | { |
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177 | int i; |
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178 | for (i=0;i<len;i++) sysglb_calc_buffer[i]=sys[i+1]; |
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179 | return; |
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180 | } |
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181 | |
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182 | static void clear_glb_calc_buffer() |
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183 | { |
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184 | int i; |
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185 | for (i=0;i<6;i++) sysglb_calc_buffer[i]=0.0; |
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186 | return; |
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187 | } |
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188 | |
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189 | static double* read_glb_calc_buffer() |
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190 | { |
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191 | return &sysglb_calc_buffer[0]; |
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192 | } |
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193 | |
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194 | //-------------------------------------------------------------------------- |
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195 | //-------------------------------------------------------------------------- |
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196 | //------------------------ Systematics ------------------------------------- |
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197 | //-------------------------------------------------------------------------- |
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198 | //-------------------------------------------------------------------------- |
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199 | |
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200 | |
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201 | // this an init function - |
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202 | // setting up the input matrix for minimization |
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203 | // ie. the set of starting directions |
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204 | |
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205 | |
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206 | static void init_mat(double **m, int dim) |
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207 | { |
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208 | int i; |
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209 | int j; |
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210 | for (i=1 ;i<= dim;i++) |
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211 | { |
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212 | for (j=1;j<= dim;j++) |
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213 | { |
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214 | if (i==j) |
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215 | { |
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216 | m[i][j]=1.0; |
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217 | } |
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218 | else |
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219 | { |
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220 | m[i][j]=0.0; |
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221 | } |
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222 | } |
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223 | } |
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224 | } |
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225 | |
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226 | //This is a wraper for accessing the minimizer |
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227 | |
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228 | static double chi_sys_wrap(double (*chi_func)(), int dimension, int alpha_in) |
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229 | { |
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230 | double **mat; // contains the direction set |
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231 | double *sp; // stores the coordinates of the minimum |
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232 | double result=0; // stores the minimum value |
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233 | int it=0; // counts the number of iterations |
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234 | mat=glb_alloc_mat(1,dimension,1,dimension); |
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235 | sp=glb_alloc_vec(1,6); // that is the maximal length |
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236 | glb_rule_number=alpha_in; |
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237 | init_mat(mat,dimension); |
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238 | |
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239 | sp[1]=1; |
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240 | sp[2]=0; |
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241 | sp[3]=glb_bg_norm_center[alpha_in]; |
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242 | sp[4]=glb_bg_tilt_center[alpha_in]; |
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243 | sp[5]=glb_tre_null_center[alpha_in]; |
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244 | sp[6]=glb_tre_tilt_center[alpha_in]; |
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245 | glb_powell(sp,mat,dimension,TOLSYS,&it,&result,chi_func); |
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246 | glb_free_vec(sp,1,6); |
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247 | glb_free_mat(mat,1,dimension,1,dimension); |
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248 | return result; |
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249 | } |
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250 | //Chi^2 where the systematics are integrated out |
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251 | |
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252 | void glb_set_errordim(int typ, int rule) |
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253 | { |
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254 | errordim[rule]=typ; |
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255 | } |
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256 | |
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257 | int glb_check_errordim(int rule) |
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258 | { |
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259 | return errordim[rule]; |
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260 | } |
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261 | |
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262 | |
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263 | |
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264 | // probably will be replaced by a more object oriented approach |
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265 | |
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266 | // those two are needed in order to write unique |
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267 | // chi^2 functions |
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268 | double *glb_sys_errors; |
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269 | double *glb_sys_centers; |
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270 | |
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271 | struct glb_systematic glb_init_systematic(double (*chi_func)(),int dimension, |
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272 | double *sp, double *errors, double (*evalf)(), |
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273 | char info[]) |
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274 | { |
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275 | struct glb_systematic out; |
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276 | double *si,*se; |
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277 | int i; |
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278 | si=(double *) glb_malloc(sizeof(double)*dimension); |
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279 | se=(double *) glb_malloc(sizeof(double)*dimension); |
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280 | for(i=0;i<dimension;i++) si[i]=sp[i]; |
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281 | for(i=0;i<dimension;i++) se[i]=errors[i]; |
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282 | out.chi_func=chi_func; |
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283 | out.dimension=dimension; |
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284 | out.sp=si; |
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285 | out.errors=se; |
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286 | out.evalf=evalf; |
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287 | out.info=info; |
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288 | return out; |
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289 | } |
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290 | |
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291 | |
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292 | |
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293 | double glb_evaluate_chi(struct glb_systematic *in) |
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294 | { |
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295 | int i; |
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296 | double **mat; // contains the direction set |
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297 | double *spi; // stores the coordinates of the minimum |
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298 | double result=0; // stores the minimum value |
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299 | int it=0; // counts the number of iterations |
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300 | mat=glb_alloc_mat(1,in->dimension,1,in->dimension); |
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301 | spi=glb_alloc_vec(1,in->dimension); // that is the maximal length |
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302 | init_mat(mat,in->dimension); |
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303 | for(i=1;i<in->dimension+1;i++) spi[i]=in->sp[i-1]; |
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304 | // this part of the unified interface to this quantities |
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305 | glb_sys_centers=in->sp; |
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306 | glb_sys_errors=in->errors; |
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307 | //------------------------ |
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308 | glb_powell(spi,mat,in->dimension,TOLSYS,&it,&result,in->chi_func); |
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309 | glb_free_vec(spi,1,in->dimension); |
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310 | glb_free_mat(mat,1,in->dimension,1,in->dimension); |
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311 | return result; |
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312 | } |
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313 | |
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314 | // This is the central switch board for choosing the |
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315 | // chi^2 function and systematics treatment according |
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316 | // to each value of errordim |
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317 | |
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318 | static double chi_dispatch(int error_dim, int i) |
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319 | { |
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320 | // finally |
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321 | double erg2=0; |
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322 | |
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323 | if(error_dim==0) //chi^2 with 4 sys. parameters |
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324 | { |
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325 | erg2=chi_sys_wrap(&glb_chi_sys_w_bg,4,i); |
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326 | |
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327 | } |
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328 | else if(error_dim==1) //chi^2 with 6 sys. parameters |
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329 | { |
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330 | erg2=chi_sys_wrap(&glb_chi_sys_w_bg2,6,i); |
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331 | } |
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332 | else if(error_dim==2) // chi^2 without sys. parameters |
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333 | { |
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334 | erg2=chi_sys_wrap(&glb_chi_sys_w_bg,0,i); |
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335 | // it seems that the minimizer correctly interprest zero dimensions |
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336 | // as the function value at the starting point |
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337 | } |
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338 | else if(error_dim==3) // very special for JHF-HK |
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339 | { |
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340 | if(i<4) erg2=chi_sys_wrap(&glb_chi_sys_w_bg,4,i); |
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341 | else erg2=chi_sys_wrap(&glb_chi_sys_w_bgtot,4,i); |
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342 | } |
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343 | else if(error_dim==4) // total chi^2 with 4 sys parameters |
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344 | { |
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345 | erg2=chi_sys_wrap(&glb_chi_sys_w_bgtot2,4,i); |
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346 | } |
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347 | else if(error_dim==5) // obsolete |
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348 | { |
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349 | fprintf(stderr,"Warning: obsolete errordim\n"); |
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350 | erg2=0; |
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351 | } |
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352 | else if(error_dim==6) // obsolete |
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353 | { |
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354 | fprintf(stderr,"Warning: obsolete errordim\n"); |
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355 | erg2=0; |
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356 | } |
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357 | else if(error_dim==7) // free normalization, i.e. spectrum only |
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358 | { |
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359 | erg2=chi_sys_wrap(&glb_chi_spec,1,i); |
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360 | } |
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361 | else if(error_dim==8) //total chi^2 w/o systematics |
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362 | { |
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363 | erg2=chi_sys_wrap(&glb_chi_sys_w_bgtot2,0,i); |
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364 | } |
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365 | else if(error_dim==9) // chi^2 with 4 syst params and |
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366 | // true energy calibration |
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367 | { |
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368 | erg2=chi_sys_wrap(&glb_chi_sys_w_bg_calib,4,i); |
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369 | } |
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370 | else if(error_dim==10) // total chi^2 with 4 syst params |
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371 | { |
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372 | erg2=chi_sys_wrap(&glb_chi_sys_w_bgtot,4,i); |
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373 | } |
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374 | else if(error_dim==20) // total chi^2 with 4 syst params |
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375 | { |
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376 | erg2=glb_evaluate_chi(&sys_calc[i]); |
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377 | } |
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378 | else if(error_dim==21) // total chi^2 with 4 syst params |
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379 | { |
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380 | erg2=sys_calc[i].evalf(&sys_calc[i]); |
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381 | } |
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382 | else |
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383 | { |
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384 | erg2=0; |
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385 | } |
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386 | return erg2; |
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387 | } |
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388 | |
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389 | static double ChiS0(int typ[]) |
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390 | { |
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391 | double erg2; |
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392 | int i,rul; |
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393 | |
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394 | ml_abort_check(GLB_MATHLINK); |
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395 | |
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396 | erg2=0; |
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397 | for (i=0;i<glb_num_of_rules;i++) |
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398 | { |
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399 | erg2+=chi_dispatch(typ[i],i); |
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400 | } |
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401 | |
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402 | glb_rule_number=0; |
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403 | return erg2; |
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404 | } |
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405 | |
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406 | // this is the same as ChiSO() but it allows access to a single rule ! |
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407 | |
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408 | static double ChiS0_Rule(int typ[],int rule) |
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409 | { |
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410 | double erg2; |
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411 | clear_glb_calc_buffer(); |
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412 | erg2=chi_dispatch(typ[rule],rule); |
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413 | glb_rule_number=0; |
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414 | return erg2; |
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415 | } |
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416 | |
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417 | //--------------------------------------------------------------- |
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418 | //---------- MES begins here ------------------------------------ |
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419 | //--------------------------------------------------------------- |
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420 | |
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421 | // redfinition of ChiS |
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422 | |
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423 | static double ChiS() |
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424 | { |
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425 | double erg; |
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426 | int i; |
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427 | erg=0; |
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428 | for (i=0;i<glb_num_of_exps;i++) |
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429 | { |
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430 | glbSetExperiment(glb_experiment_list[i]); |
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431 | erg += ChiS0(glb_experiment_list[i]->errordim); |
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432 | } |
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433 | return erg; |
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434 | } |
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435 | |
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436 | //redefinition of Chi |
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437 | |
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438 | static double Chi(double x[]) |
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439 | { |
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440 | int i; |
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441 | double erg; |
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442 | glb_set_c_vacuum_parameters(x[0],x[1],x[2],x[3]); |
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443 | glb_set_c_squared_masses(0,x[4],x[5]); |
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444 | for (i=0;i<glb_num_of_exps;i++) |
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445 | { |
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446 | glbSetExperiment(glb_experiment_list[i]); |
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447 | glb_set_profile_scaling(x[6+i],i); |
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448 | glb_set_new_rates(); |
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449 | } |
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450 | if (setjmp(env)==1) |
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451 | { |
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452 | okay_flag=1; |
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453 | return erg; |
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454 | } |
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455 | erg=ChiS(); |
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456 | return erg; |
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457 | } |
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458 | |
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459 | |
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460 | |
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461 | |
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462 | // chi^2 with systematics for each Experiment |
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463 | |
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464 | static double SingleChi(double x[7],int exp) |
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465 | { |
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466 | double erg; |
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467 | glb_set_c_vacuum_parameters(x[0], x[1],x[2],x[3]); |
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468 | glb_set_c_squared_masses(0,x[4],x[5]); |
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469 | |
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470 | glbSetExperiment(glb_experiment_list[exp]); |
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471 | glb_set_profile_scaling(x[6],exp); |
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472 | glb_set_new_rates(); |
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473 | |
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474 | |
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475 | |
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476 | glbSetExperiment(glb_experiment_list[exp]); |
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477 | if (setjmp(env)==1) |
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478 | { |
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479 | okay_flag=1; |
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480 | return erg; |
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481 | } |
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482 | erg=ChiS0(errordim); |
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483 | return erg; |
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484 | } |
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485 | |
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486 | // chi^2 with systematics for each Experiment |
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487 | |
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488 | static double SingleRuleChi(double x[7],int exp, int rule) |
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489 | { |
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490 | double erg; |
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491 | glb_set_c_vacuum_parameters(x[0], x[1],x[2],x[3]); |
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492 | glb_set_c_squared_masses(0,x[4],x[5]); |
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493 | |
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494 | glbSetExperiment(glb_experiment_list[exp]); |
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495 | glb_set_profile_scaling(x[6],exp); |
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496 | glb_set_new_rates(); |
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497 | |
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498 | |
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499 | |
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500 | glbSetExperiment(glb_experiment_list[exp]); |
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501 | erg=ChiS0_Rule(errordim,rule); |
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502 | return erg; |
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503 | } |
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504 | |
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505 | /* Wrappers for the API */ |
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506 | |
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507 | double glbChiSys(const glb_params in,int experiment, int rule) |
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508 | { |
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509 | int i; |
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510 | double res,x[38]; |
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511 | |
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512 | if(in==NULL) |
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513 | { |
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514 | glb_error("Failure in glbChiSys: Input pointer must be non-NULL"); |
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515 | return -1; |
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516 | } |
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517 | for(i=0;i<GLB_OSCP;i++) x[i]=glbGetOscParams(in,i); |
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518 | if(experiment==GLB_ALL) |
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519 | { |
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520 | if(rule==GLB_ALL) |
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521 | { |
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522 | for(i=0;i<glb_num_of_exps;i++) |
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523 | x[i+GLB_OSCP]=glbGetDensityParams(in,i); |
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524 | res=Chi(x); |
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525 | } |
---|
526 | else |
---|
527 | { |
---|
528 | res=0; |
---|
529 | for(i=0;i<glb_num_of_exps;i++) |
---|
530 | { |
---|
531 | if(rule < glb_experiment_list[i]->numofrules) |
---|
532 | { |
---|
533 | x[GLB_OSCP]=glbGetDensityParams(in,i); |
---|
534 | res+=SingleRuleChi(x,i,rule); |
---|
535 | } |
---|
536 | else |
---|
537 | {glb_error("Invalid rule number");return -1;} |
---|
538 | } |
---|
539 | } |
---|
540 | } |
---|
541 | else |
---|
542 | { |
---|
543 | if(experiment >= glb_num_of_exps) |
---|
544 | { |
---|
545 | glb_error("Failure in glbChiSys: 2nd argument must be smaller than" |
---|
546 | "glb_num_of_exps"); |
---|
547 | return -1; |
---|
548 | } |
---|
549 | x[GLB_OSCP]=glbGetDensityParams(in,experiment); |
---|
550 | if(rule==GLB_ALL) res=SingleChi(x,experiment); |
---|
551 | else |
---|
552 | { |
---|
553 | if(rule >= glb_experiment_list[experiment]->numofrules) |
---|
554 | { |
---|
555 | glb_error("Failure in glbChiSys: 3rd argument must be" |
---|
556 | " smaller than numofrules"); |
---|
557 | return -1; |
---|
558 | } |
---|
559 | res=SingleRuleChi(x,experiment,rule); |
---|
560 | } |
---|
561 | } |
---|
562 | return res; |
---|
563 | } |
---|
564 | |
---|
565 | |
---|
566 | //----------------------------------------------------------------- |
---|
567 | //------------------- END ----------------------------------------- |
---|
568 | //--------------- Systematics ------------------------------------- |
---|
569 | //----------------------------------------------------------------- |
---|
570 | |
---|
571 | |
---|
572 | //-------------------------------------------------------------- |
---|
573 | //--------- Setting the glb_priors --------------------------------- |
---|
574 | //-------------------------------------------------------------- |
---|
575 | |
---|
576 | int glb_set_input_errors(double a, double b, double c, double d, double e, double f) |
---|
577 | { |
---|
578 | |
---|
579 | inp_errs[1]=a; |
---|
580 | inp_errs[2]=b; |
---|
581 | inp_errs[3]=c; |
---|
582 | inp_errs[4]=d; |
---|
583 | inp_errs[5]=e; |
---|
584 | inp_errs[6]=f; |
---|
585 | return 0; |
---|
586 | } |
---|
587 | |
---|
588 | int glb_set_starting_values(double a, double b, double c, double d, double e, double f) |
---|
589 | { |
---|
590 | start[1]=a; |
---|
591 | start[2]=b; |
---|
592 | start[3]=c; |
---|
593 | start[4]=d; |
---|
594 | start[5]=e; |
---|
595 | start[6]=f; |
---|
596 | return 0; |
---|
597 | } |
---|
598 | |
---|
599 | |
---|
600 | |
---|
601 | |
---|
602 | |
---|
603 | |
---|
604 | // setting starting values for densities and errors on densitites |
---|
605 | // for different experiments |
---|
606 | |
---|
607 | void glbSetDensityPrior(double start, double error, int typ) |
---|
608 | { |
---|
609 | glb_experiment_list[typ]->density_center=start; |
---|
610 | glb_experiment_list[typ]->density_error=error; |
---|
611 | } |
---|
612 | |
---|
613 | void glbSetDensityStartingValue(double start, int typ) |
---|
614 | { |
---|
615 | glb_experiment_list[typ]->density_center=start; |
---|
616 | } |
---|
617 | |
---|
618 | |
---|
619 | void glbSetDensityInputError(double error, int typ) |
---|
620 | { |
---|
621 | glb_experiment_list[typ]->density_error=error; |
---|
622 | } |
---|
623 | |
---|
624 | |
---|
625 | double* glb_return_input_errors() |
---|
626 | { |
---|
627 | double* out; |
---|
628 | int i; |
---|
629 | i=6+glb_num_of_exps; |
---|
630 | out=(double*) glb_malloc(i*sizeof(double)); |
---|
631 | for(i=0;i<6;i++) out[i]=inp_errs[i]; |
---|
632 | for(i=0;i<glb_num_of_exps;i++) out[i+6]=glb_experiment_list[i]->density_error; |
---|
633 | return out; |
---|
634 | } |
---|
635 | |
---|
636 | double* glb_return_input_values() |
---|
637 | { |
---|
638 | double* out; |
---|
639 | int i; |
---|
640 | i=6+glb_num_of_exps; |
---|
641 | out=(double*) glb_malloc(i*sizeof(double)); |
---|
642 | for(i=0;i<6;i++) out[i]=start[i]; |
---|
643 | for(i=0;i<glb_num_of_exps;i++) out[i+6]=glb_experiment_list[i]->density_center; |
---|
644 | return out; |
---|
645 | } |
---|
646 | |
---|
647 | |
---|
648 | |
---|
649 | //-------------------------------------------------------------- |
---|
650 | //--------- Setting the glb_priors for th12 ------------------------ |
---|
651 | //-------------------------------------------------------------- |
---|
652 | |
---|
653 | int glb_set_solar_input_errors(double a) |
---|
654 | { |
---|
655 | inp_errs[0]=a; |
---|
656 | return 0; |
---|
657 | } |
---|
658 | |
---|
659 | int glb_set_solar_starting_values(double a) |
---|
660 | { |
---|
661 | start[0]=a; |
---|
662 | return 0; |
---|
663 | } |
---|
664 | |
---|
665 | |
---|
666 | |
---|
667 | //---------------------------------------------------------------- |
---|
668 | //----------- shifted rate access -------------------------------- |
---|
669 | //---------------------------------------------------------------- |
---|
670 | |
---|
671 | static void ReturnShiftedRates(int rulenumber, int exp, double* inrates) |
---|
672 | { |
---|
673 | int i; |
---|
674 | int bins; |
---|
675 | glbSetExperiment(glb_experiment_list[exp]); |
---|
676 | //glb_set_new_rates(); |
---|
677 | //glbSetExperiment(&glb_experiment_list[exp]); |
---|
678 | //ChiS0_Rule(errordim,rulenumber); |
---|
679 | bins=rulenumber; |
---|
680 | bins=glb_get_number_of_bins(); |
---|
681 | for(i=0;i<bins;i++) inrates[i]=glb_chirate[i]; |
---|
682 | |
---|
683 | } |
---|
684 | |
---|
685 | //------------------------------------------------------------------ |
---|
686 | //---- Chi^2 with arbitrary number of free parameters -------------- |
---|
687 | //----------------------- 23.01.2004 ------------------------------- |
---|
688 | //------------------------------------------------------------------ |
---|
689 | |
---|
690 | //This serves for ChiNP |
---|
691 | |
---|
692 | static double fix_params[37]; |
---|
693 | static int para_tab[37]; |
---|
694 | static int index_tab[37]; |
---|
695 | static int n_free; |
---|
696 | static int n_fix; |
---|
697 | |
---|
698 | //----------------------- |
---|
699 | |
---|
700 | |
---|
701 | static void SelectProjection(int *vec) |
---|
702 | { |
---|
703 | int i,c,c1,c2; |
---|
704 | |
---|
705 | for(i=0;i<6+glb_num_of_exps;i++) para_tab[i]=vec[i]; |
---|
706 | c=0; |
---|
707 | c1=0; |
---|
708 | c2=0; |
---|
709 | for(i=0;i<6+glb_num_of_exps;i++) |
---|
710 | { |
---|
711 | if(para_tab[i]==1) c++; |
---|
712 | } |
---|
713 | for(i=0;i<6+glb_num_of_exps;i++) |
---|
714 | { |
---|
715 | if(para_tab[i]==1) |
---|
716 | { |
---|
717 | index_tab[c1]=i; |
---|
718 | c1++; |
---|
719 | } |
---|
720 | else if(para_tab[i]==0) |
---|
721 | { |
---|
722 | index_tab[c+c2]=i; |
---|
723 | c2++; |
---|
724 | } |
---|
725 | else |
---|
726 | { |
---|
727 | glb_fatal("SelectProjection input error\n"); |
---|
728 | } |
---|
729 | } |
---|
730 | n_free=c; |
---|
731 | n_fix=c2; |
---|
732 | return; |
---|
733 | } |
---|
734 | |
---|
735 | |
---|
736 | static int CheckFree() |
---|
737 | { |
---|
738 | int k; |
---|
739 | k=n_free; |
---|
740 | return k; |
---|
741 | } |
---|
742 | |
---|
743 | static int* CheckProjection() |
---|
744 | { |
---|
745 | |
---|
746 | return ¶_tab[0]; |
---|
747 | } |
---|
748 | |
---|
749 | |
---|
750 | static double sglb_prior(double x, double center, double sigma) |
---|
751 | { |
---|
752 | if(fabs(sigma-0)<1E-12) return 0; |
---|
753 | return (x-center)*(x-center)/sigma/sigma; |
---|
754 | } |
---|
755 | |
---|
756 | // multi-experiment functions MDglbXSection |
---|
757 | static double MD_chi_NP(double x[]) |
---|
758 | { |
---|
759 | double erg2; |
---|
760 | double y[37]; |
---|
761 | int i; |
---|
762 | count = count +1; |
---|
763 | for(i=0;i<n_free;i++) y[index_tab[i]]=x[i+1]; |
---|
764 | // This basically is superflous, however it appears to be safer not |
---|
765 | // change a global (i.e to this file) parameter (fix_params) at this place |
---|
766 | for(i=n_free;i<n_free+n_fix;i++) y[index_tab[i]]=fix_params[index_tab[i]]; |
---|
767 | |
---|
768 | //fprintf(stderr,"x2 %f\n",x2[1]); |
---|
769 | glb_set_c_vacuum_parameters(y[0],y[1],y[2],y[3]); |
---|
770 | glb_set_c_squared_masses(0,y[4],y[5]); |
---|
771 | for (i=0;i<glb_num_of_exps;i++) |
---|
772 | { |
---|
773 | glbSetExperiment(glb_experiment_list[i]); |
---|
774 | glb_set_profile_scaling(y[6+i],i); |
---|
775 | glb_set_new_rates(); |
---|
776 | } |
---|
777 | |
---|
778 | erg2=ChiS(); |
---|
779 | |
---|
780 | // adding the glb_priors |
---|
781 | for(i=0;i<n_free;i++) |
---|
782 | { |
---|
783 | if(index_tab[i]<6) |
---|
784 | { |
---|
785 | erg2+=sglb_prior(y[index_tab[i]], |
---|
786 | start[index_tab[i]],inp_errs[index_tab[i]]); |
---|
787 | |
---|
788 | } |
---|
789 | else |
---|
790 | { |
---|
791 | erg2+=sglb_prior(y[index_tab[i]], |
---|
792 | (glb_experiment_list[index_tab[i]-6])->density_center, |
---|
793 | (glb_experiment_list[index_tab[i]-6])->density_error); |
---|
794 | } |
---|
795 | } |
---|
796 | |
---|
797 | return erg2; |
---|
798 | } |
---|
799 | |
---|
800 | |
---|
801 | // single-experiment functions ChiglbXSection |
---|
802 | //This serves for ChiNP |
---|
803 | |
---|
804 | static double s_fix_params[7]; |
---|
805 | static int s_para_tab[7]; |
---|
806 | static int s_index_tab[7]; |
---|
807 | static int s_n_free; |
---|
808 | static int s_n_fix; |
---|
809 | |
---|
810 | //----------------------- |
---|
811 | |
---|
812 | |
---|
813 | static void single_SelectProjection(int set) |
---|
814 | { |
---|
815 | int i,c,c1,c2; |
---|
816 | |
---|
817 | for(i=0;i<6;i++) s_para_tab[i]=para_tab[i]; |
---|
818 | s_para_tab[6]=para_tab[6+set]; |
---|
819 | c=0; |
---|
820 | c1=0; |
---|
821 | c2=0; |
---|
822 | for(i=0;i<6+1;i++) |
---|
823 | { |
---|
824 | if(s_para_tab[i]==1) c++; |
---|
825 | } |
---|
826 | for(i=0;i<6+1;i++) |
---|
827 | { |
---|
828 | if(s_para_tab[i]==1) |
---|
829 | { |
---|
830 | s_index_tab[c1]=i; |
---|
831 | c1++; |
---|
832 | } |
---|
833 | else if(s_para_tab[i]==0) |
---|
834 | { |
---|
835 | s_index_tab[c+c2]=i; |
---|
836 | c2++; |
---|
837 | } |
---|
838 | else |
---|
839 | { |
---|
840 | fprintf(stderr,"SelectProjection input error\n"); |
---|
841 | } |
---|
842 | } |
---|
843 | s_n_free=c; |
---|
844 | s_n_fix=c2; |
---|
845 | return; |
---|
846 | } |
---|
847 | |
---|
848 | //------------------ JEC START: 13/5/05 ---------------- |
---|
849 | int same_th23(double start_th23, double fit_th23) { |
---|
850 | |
---|
851 | // testing if fit_th23 is at the same side as the true value |
---|
852 | |
---|
853 | return ( |
---|
854 | (start_th23 > M_PI/4. && fit_th23 > M_PI/4.) || |
---|
855 | (start_th23 < M_PI/4. && fit_th23 < M_PI/4.) |
---|
856 | ); |
---|
857 | }//same_th23 |
---|
858 | |
---|
859 | //--------------------------------------------------------------------- |
---|
860 | int same_hier(double start_dmq, double fit_dmq) { |
---|
861 | |
---|
862 | // testing if fit_dmq has the same sign as the true value |
---|
863 | return ( |
---|
864 | (fit_dmq * start_dmq) > 0 |
---|
865 | ); |
---|
866 | }//same_hier |
---|
867 | |
---|
868 | //--------------------------------------------------------------------- |
---|
869 | |
---|
870 | /* bool test(double start_dmq, double fit_dmq, */ |
---|
871 | /* double start_th23, double fit_th23) { */ |
---|
872 | /* //test if Hierarchy is the same, and if Octant is the same */ |
---|
873 | /* return same_th23(start_th23,fit_th23) && same_hier(start_dmq,fit_dmq); */ |
---|
874 | /* } */ |
---|
875 | //------------------ JEC END: 13/5/05 ---------------- |
---|
876 | |
---|
877 | |
---|
878 | static double chi_NP(double x[]) |
---|
879 | { |
---|
880 | double erg2; |
---|
881 | double y[7]; |
---|
882 | int i; |
---|
883 | count = count +1; |
---|
884 | for(i=0;i<s_n_free;i++) y[s_index_tab[i]]=x[i+1]; |
---|
885 | // This basically is superflous, however it appears to be safer not |
---|
886 | // change a global (i.e to this file) parameter (fix_params) at this place |
---|
887 | for(i=s_n_free;i<s_n_free+s_n_fix;i++) y[s_index_tab[i]] |
---|
888 | =s_fix_params[s_index_tab[i]]; |
---|
889 | |
---|
890 | //fprintf(stderr,"x2 %f\n",x2[1]); |
---|
891 | glb_set_c_vacuum_parameters(y[0],y[1],y[2],y[3]); |
---|
892 | glb_set_c_squared_masses(0,y[4],y[5]); |
---|
893 | |
---|
894 | glbSetExperiment(glb_experiment_list[glb_single_experiment_number]); |
---|
895 | glb_set_profile_scaling(y[6],glb_single_experiment_number); |
---|
896 | glb_set_new_rates(); |
---|
897 | |
---|
898 | |
---|
899 | erg2=ChiS0(errordim); |
---|
900 | |
---|
901 | |
---|
902 | // adding the glb_priors |
---|
903 | for(i=0;i<s_n_free;i++) |
---|
904 | { |
---|
905 | if(s_index_tab[i]<6) |
---|
906 | { |
---|
907 | erg2+=sglb_prior(y[s_index_tab[i]], |
---|
908 | start[s_index_tab[i]],inp_errs[s_index_tab[i]]); |
---|
909 | //----- JEC START: 13/5/05 ---- |
---|
910 | if(2 == s_index_tab[i]) { //Theta23 special case |
---|
911 | if ( !same_th23(start[s_index_tab[i]],y[s_index_tab[i]]) ) { |
---|
912 | erg2 += 1.e6; |
---|
913 | } |
---|
914 | } else if (5 == s_index_tab[i]) { |
---|
915 | if ( !same_hier(start[s_index_tab[i]],y[s_index_tab[i]]) ) { |
---|
916 | erg2 += 1.e6; |
---|
917 | } |
---|
918 | } |
---|
919 | //----- JEC END: 13/5/05 ---- |
---|
920 | } |
---|
921 | else |
---|
922 | { |
---|
923 | erg2+=sglb_prior(y[6], |
---|
924 | (glb_experiment_list[glb_single_experiment_number])->density_center, |
---|
925 | (glb_experiment_list[glb_single_experiment_number])->density_error); |
---|
926 | } |
---|
927 | } |
---|
928 | |
---|
929 | return erg2; |
---|
930 | } |
---|
931 | |
---|
932 | |
---|
933 | |
---|
934 | /* This implemenst the API for the ChiXXX functions */ |
---|
935 | |
---|
936 | |
---|
937 | |
---|
938 | static double internal_glbSingleChiNP(const glb_params in, glb_params out, |
---|
939 | int exp) |
---|
940 | { |
---|
941 | double *sp2; |
---|
942 | double **mat2; |
---|
943 | double er1; |
---|
944 | glb_projection fbuf,fnew; |
---|
945 | |
---|
946 | double x[38]; |
---|
947 | int it; |
---|
948 | int i; |
---|
949 | int dim; |
---|
950 | fbuf=glbAllocProjection(); |
---|
951 | fnew=glbAllocProjection(); |
---|
952 | if(exp >= glb_num_of_exps) |
---|
953 | { |
---|
954 | glb_error("Failure in internal_glbSingleChiNP: exp must be smaller than" |
---|
955 | " glb_num_of_exps"); |
---|
956 | return -1; |
---|
957 | } |
---|
958 | |
---|
959 | |
---|
960 | |
---|
961 | glb_single_experiment_number=exp; |
---|
962 | |
---|
963 | //creating memory |
---|
964 | single_SelectProjection(exp); |
---|
965 | |
---|
966 | dim=s_n_free; |
---|
967 | /* declaring temporariliy all densities of all other experiments as fixed */ |
---|
968 | glbGetProjection(fbuf); |
---|
969 | fnew=glbCopyProjection(fbuf,fnew); |
---|
970 | fnew=glbSetDensityProjectionFlag(fnew,GLB_FIXED,GLB_ALL); |
---|
971 | fnew=glbSetDensityProjectionFlag(fnew,glbGetDensityProjectionFlag(fbuf,exp) |
---|
972 | ,exp); |
---|
973 | glbSetProjection(fnew); |
---|
974 | /* - finis - */ |
---|
975 | mat2=glb_alloc_mat(1,dim,1,dim); |
---|
976 | sp2=glb_alloc_vec(1,dim); |
---|
977 | init_mat(mat2,dim); |
---|
978 | //initializing various things |
---|
979 | count=0; |
---|
980 | |
---|
981 | if(out!=NULL) { |
---|
982 | out=glbCopyParams(in,out); |
---|
983 | if(out==NULL) |
---|
984 | { |
---|
985 | glb_error("Failure while copying input of glbChiNP"); |
---|
986 | return -1; |
---|
987 | } |
---|
988 | } |
---|
989 | |
---|
990 | for(i=0;i<GLB_OSCP;i++) x[i]=glbGetOscParams(in,i); |
---|
991 | x[GLB_OSCP]=glbGetDensityParams(in,exp); |
---|
992 | |
---|
993 | for(i=0;i<GLB_OSCP+1;i++) s_fix_params[i]=x[i]; |
---|
994 | for(i=0;i<s_n_free;i++) sp2[i+1]=x[s_index_tab[i]]; |
---|
995 | if (setjmp(env)==1) |
---|
996 | { |
---|
997 | okay_flag=1; |
---|
998 | return er1; |
---|
999 | } |
---|
1000 | glb_powell2(sp2,mat2,dim,TOLOSC,&it,&er1,chi_NP); |
---|
1001 | if(out!=NULL) |
---|
1002 | { |
---|
1003 | for(i=0;i<s_n_free;i++) |
---|
1004 | { |
---|
1005 | if(s_index_tab[i]<GLB_OSCP) |
---|
1006 | glbSetOscParams(out,sp2[i+1],s_index_tab[i]); |
---|
1007 | else |
---|
1008 | glbSetDensityParams(out,sp2[i+1],exp); |
---|
1009 | } |
---|
1010 | out=glbSetIteration(out,count); |
---|
1011 | } |
---|
1012 | |
---|
1013 | glb_free_vec(sp2,1,dim); |
---|
1014 | glb_free_mat(mat2,1,dim,1,dim); |
---|
1015 | glbSetProjection(fbuf); |
---|
1016 | glbFreeProjection(fnew); |
---|
1017 | glbFreeProjection(fbuf); |
---|
1018 | return er1; |
---|
1019 | } |
---|
1020 | |
---|
1021 | |
---|
1022 | static double internal_glbChiNP(const glb_params in, glb_params out) |
---|
1023 | { |
---|
1024 | double *sp2; |
---|
1025 | double **mat2; |
---|
1026 | double er1; |
---|
1027 | |
---|
1028 | |
---|
1029 | double x[38]; |
---|
1030 | int it; |
---|
1031 | int i; |
---|
1032 | int dim; |
---|
1033 | //creating memory |
---|
1034 | |
---|
1035 | |
---|
1036 | dim=n_free; |
---|
1037 | |
---|
1038 | mat2=glb_alloc_mat(1,dim,1,dim); |
---|
1039 | sp2=glb_alloc_vec(1,dim); |
---|
1040 | init_mat(mat2,dim); |
---|
1041 | //initializing various things |
---|
1042 | count=0; |
---|
1043 | |
---|
1044 | |
---|
1045 | if(out!=NULL) { |
---|
1046 | out=glbCopyParams(in,out); |
---|
1047 | if(out==NULL) |
---|
1048 | { |
---|
1049 | glb_error("Failure while copying input of glbChiNP"); |
---|
1050 | return -1; |
---|
1051 | } |
---|
1052 | } |
---|
1053 | |
---|
1054 | for(i=0;i<GLB_OSCP;i++) x[i]=glbGetOscParams(in,i); |
---|
1055 | for(i=0;i<glb_num_of_exps;i++) x[i+GLB_OSCP]=glbGetDensityParams(in,i); |
---|
1056 | |
---|
1057 | for(i=0;i<6+glb_num_of_exps;i++) fix_params[i]=x[i]; |
---|
1058 | for(i=0;i<n_free;i++) sp2[i+1]=x[index_tab[i]]; |
---|
1059 | if (setjmp(env)==1) |
---|
1060 | { |
---|
1061 | okay_flag=1; |
---|
1062 | return er1; |
---|
1063 | } |
---|
1064 | glb_powell2(sp2,mat2,dim,TOLOSC,&it,&er1,MD_chi_NP); |
---|
1065 | if(out!=NULL) |
---|
1066 | { |
---|
1067 | for(i=0;i<n_free;i++) |
---|
1068 | { |
---|
1069 | if(index_tab[i]<GLB_OSCP) |
---|
1070 | glbSetOscParams(out,sp2[i+1],index_tab[i]); |
---|
1071 | else |
---|
1072 | glbSetDensityParams(out,sp2[i+1],index_tab[i]-GLB_OSCP); |
---|
1073 | } |
---|
1074 | out=glbSetIteration(out,count); |
---|
1075 | } |
---|
1076 | glb_free_vec(sp2,1,dim); |
---|
1077 | glb_free_mat(mat2,1,dim,1,dim); |
---|
1078 | return er1; |
---|
1079 | } |
---|
1080 | |
---|
1081 | double glbChiNP(const glb_params in, glb_params out, int exp) |
---|
1082 | { |
---|
1083 | double res; |
---|
1084 | |
---|
1085 | if(in==NULL) |
---|
1086 | { |
---|
1087 | glb_error("Failure in glbChiNP: Input pointer must be non-NULL"); |
---|
1088 | return -1; |
---|
1089 | } |
---|
1090 | |
---|
1091 | if(exp==GLB_ALL) res=internal_glbChiNP(in,out); |
---|
1092 | else res=internal_glbSingleChiNP(in,out,exp); |
---|
1093 | return res; |
---|
1094 | } |
---|
1095 | |
---|
1096 | |
---|
1097 | /* Convenience wrappers for glbChiNP |
---|
1098 | * |
---|
1099 | * First the 1-d wrappers |
---|
1100 | */ |
---|
1101 | |
---|
1102 | static double glbChi1P(const glb_params in, |
---|
1103 | glb_params out, int exp, int n) |
---|
1104 | { |
---|
1105 | double res; |
---|
1106 | int i,*b; |
---|
1107 | int swit[37]; |
---|
1108 | int buff[37]; |
---|
1109 | b=CheckProjection(); |
---|
1110 | for(i=0;i<6+glb_num_of_exps;i++) buff[i]=b[i]; |
---|
1111 | for(i=0;i<6+glb_num_of_exps;i++) swit[i]=GLB_FREE; |
---|
1112 | swit[n-1]=GLB_FIXED; |
---|
1113 | SelectProjection(swit); |
---|
1114 | if(in==NULL) |
---|
1115 | { |
---|
1116 | glb_error("Failure in glbChiNP: Input pointer must be non-NULL"); |
---|
1117 | return -1; |
---|
1118 | } |
---|
1119 | |
---|
1120 | if(exp==GLB_ALL) res=internal_glbChiNP(in,out); |
---|
1121 | else res=internal_glbSingleChiNP(in,out,exp); |
---|
1122 | SelectProjection(buff); |
---|
1123 | return res; |
---|
1124 | } |
---|
1125 | |
---|
1126 | |
---|
1127 | double glbChiTheta(const glb_params in,glb_params out, int exp) |
---|
1128 | { |
---|
1129 | double res; |
---|
1130 | res=glbChi1P(in,out,exp,2); |
---|
1131 | return res; |
---|
1132 | } |
---|
1133 | |
---|
1134 | double glbChiTheta23(const glb_params in,glb_params out, int exp) |
---|
1135 | { |
---|
1136 | double res; |
---|
1137 | res=glbChi1P(in,out,exp,3); |
---|
1138 | return res; |
---|
1139 | } |
---|
1140 | |
---|
1141 | double glbChiDelta(const glb_params in,glb_params out, int exp) |
---|
1142 | { |
---|
1143 | double res; |
---|
1144 | res=glbChi1P(in,out,exp,4); |
---|
1145 | return res; |
---|
1146 | } |
---|
1147 | |
---|
1148 | double glbChiDms(const glb_params in,glb_params out, int exp) |
---|
1149 | { |
---|
1150 | double res; |
---|
1151 | res=glbChi1P(in,out,exp,5); |
---|
1152 | return res; |
---|
1153 | } |
---|
1154 | |
---|
1155 | double glbChiDm(const glb_params in,glb_params out, int exp) |
---|
1156 | { |
---|
1157 | double res; |
---|
1158 | res=glbChi1P(in,out,exp,6); |
---|
1159 | return res; |
---|
1160 | } |
---|
1161 | |
---|
1162 | /* 2-d wrapper -- only ChiThetaDelta */ |
---|
1163 | |
---|
1164 | double glbChiThetaDelta(const glb_params in,glb_params out, int exp) |
---|
1165 | { |
---|
1166 | double res; |
---|
1167 | int i,*b; |
---|
1168 | int swit[37]; |
---|
1169 | int buff[37]; |
---|
1170 | |
---|
1171 | b=CheckProjection(); |
---|
1172 | for(i=0;i<6+glb_num_of_exps;i++) buff[i]=b[i]; |
---|
1173 | for(i=0;i<6+glb_num_of_exps;i++) swit[i]=GLB_FREE; |
---|
1174 | swit[1]=GLB_FIXED; |
---|
1175 | swit[3]=GLB_FIXED; |
---|
1176 | SelectProjection(swit); |
---|
1177 | if(in==NULL) |
---|
1178 | { |
---|
1179 | glb_error("Failure in glbChiNP: Input pointer must be non-NULL"); |
---|
1180 | return -1; |
---|
1181 | } |
---|
1182 | |
---|
1183 | if(exp==GLB_ALL) res=internal_glbChiNP(in,out); |
---|
1184 | else res=internal_glbSingleChiNP(in,out,exp); |
---|
1185 | SelectProjection(b); |
---|
1186 | return res; |
---|
1187 | } |
---|
1188 | |
---|
1189 | /* Wrapper for ChiAll */ |
---|
1190 | |
---|
1191 | double glbChiAll(const glb_params in,glb_params out, int exp) |
---|
1192 | { |
---|
1193 | double res; |
---|
1194 | int i,*b; |
---|
1195 | int swit[37]; |
---|
1196 | int buff[37]; |
---|
1197 | b=CheckProjection(); |
---|
1198 | for(i=0;i<6+glb_num_of_exps;i++) buff[i]=b[i]; |
---|
1199 | for(i=0;i<6+glb_num_of_exps;i++) swit[i]=GLB_FREE; |
---|
1200 | SelectProjection(swit); |
---|
1201 | if(in==NULL) |
---|
1202 | { |
---|
1203 | glb_error("Failure in glbChiNP: Input pointer must be non-NULL"); |
---|
1204 | return -1; |
---|
1205 | } |
---|
1206 | |
---|
1207 | if(exp==GLB_ALL) res=internal_glbChiNP(in,out); |
---|
1208 | else res=internal_glbSingleChiNP(in,out,exp); |
---|
1209 | SelectProjection(b); |
---|
1210 | return res; |
---|
1211 | } |
---|
1212 | |
---|
1213 | |
---|
1214 | /* New functions dealing with setting the projection flags */ |
---|
1215 | |
---|
1216 | |
---|
1217 | int |
---|
1218 | glbSetProjection(const glb_projection in) |
---|
1219 | { |
---|
1220 | int i; |
---|
1221 | int *buf; |
---|
1222 | if(in==NULL) return -1; |
---|
1223 | buf=glb_malloc(sizeof(int)*(GLB_OSCP+glb_num_of_exps)); |
---|
1224 | |
---|
1225 | for(i=0;i<GLB_OSCP;i++) buf[i]=glbGetProjectionFlag(in,i); |
---|
1226 | for(i=0;i<glb_num_of_exps;i++) buf[i+GLB_OSCP]= |
---|
1227 | glbGetDensityProjectionFlag(in,i); |
---|
1228 | SelectProjection(buf); |
---|
1229 | glb_free(buf); |
---|
1230 | return 0; |
---|
1231 | |
---|
1232 | } |
---|
1233 | |
---|
1234 | int |
---|
1235 | glbGetProjection(glb_projection in) |
---|
1236 | { |
---|
1237 | int i; |
---|
1238 | if(in==NULL) return -1; |
---|
1239 | for(i=0;i<GLB_OSCP;i++) in=glbSetProjectionFlag(in,para_tab[i],i); |
---|
1240 | for(i=0;i<glb_num_of_exps;i++) |
---|
1241 | in=glbSetDensityProjectionFlag(in,para_tab[i+GLB_OSCP],i); |
---|
1242 | return 0; |
---|
1243 | } |
---|