[2] | 1 | /* GLoBES -- General LOng Baseline Experiment Simulator |
---|
| 2 | * (C) 2002 - 2004, The GLoBES Team |
---|
| 3 | * |
---|
| 4 | * GLoBES is mainly intended for academic purposes. Proper |
---|
| 5 | * credit must be given if you use GLoBES or parts of it. Please |
---|
| 6 | * read the section 'Credit' in the README file. |
---|
| 7 | * |
---|
| 8 | * This program is free software; you can redistribute it and/or modify |
---|
| 9 | * it under the terms of the GNU General Public License as published by |
---|
| 10 | * the Free Software Foundation; either version 2 of the License, or |
---|
| 11 | * (at your option) any later version. |
---|
| 12 | * |
---|
| 13 | * This program is distributed in the hope that it will be useful, |
---|
| 14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
---|
| 15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
---|
| 16 | * GNU General Public License for more details. |
---|
| 17 | * |
---|
| 18 | * You should have received a copy of the GNU General Public License |
---|
| 19 | * along with this program; if not, write to the Free Software |
---|
| 20 | * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA |
---|
| 21 | */ |
---|
| 22 | |
---|
| 23 | |
---|
| 24 | |
---|
| 25 | |
---|
| 26 | |
---|
| 27 | |
---|
| 28 | /* -------------------------------------------------------- |
---|
| 29 | * --- Comment on numerical accuracy ---------------------- |
---|
| 30 | * -------------------------------------------------------- |
---|
| 31 | * The whole code uses double precision, whatever this is |
---|
| 32 | * on Your machine. The following information was derived |
---|
| 33 | * on 32-bit Pentium III processor. |
---|
| 34 | * Even though double precision should give relative errors of |
---|
| 35 | * order <1E-12, functions involving minimization like ChiTheta |
---|
| 36 | * may be off in the order of 1E-8 (absolute). This may cause |
---|
| 37 | * ChiTheta and SingleChiTheta to yield results differing by 1E-8. |
---|
| 38 | * The same applies for all other ChiglbXSection and SingleChiglbXSection functions. |
---|
| 39 | * The crucial lines are: |
---|
| 40 | * erg2 = erg2 |
---|
| 41 | * + glb_prior(x[1],start[2],inp_errs[2]) |
---|
| 42 | * + glb_prior(x[3],start[4],inp_errs[4]) |
---|
| 43 | * + glb_prior(x[4],start[5],inp_errs[5]) |
---|
| 44 | * + glb_prior(x[5],(glb_experiment_list[glb_single_experiment_number]).density_center, |
---|
| 45 | * (glb_experiment_list[glb_single_experiment_number]).density_error); |
---|
| 46 | * in the chi_xxx functions. This looks of course different |
---|
| 47 | * in the MDchi_xxx functions. Basically its a matter of how |
---|
| 48 | * and in which order the truncations are performed. This may |
---|
| 49 | * also change under compiler optimization. In any case the errors |
---|
| 50 | * should be very small (i.e. <<1E-6) and should not have any impact |
---|
| 51 | * on the physics results. |
---|
| 52 | */ |
---|
| 53 | |
---|
| 54 | |
---|
| 55 | #include <stdio.h> |
---|
| 56 | #include <stdlib.h> |
---|
| 57 | #include <math.h> |
---|
| 58 | #include <setjmp.h> |
---|
| 59 | #include <globes/globes.h> |
---|
| 60 | |
---|
| 61 | #include "glb_probability.h" |
---|
| 62 | #include "glb_fluxes.h" |
---|
| 63 | #include "glb_rate_engine.h" |
---|
| 64 | #include "glb_min_sup.h" |
---|
| 65 | #include "glb_types.h" |
---|
| 66 | #include "glb_multiex.h" |
---|
| 67 | #include "glb_error.h" |
---|
| 68 | #include "glb_wrapper.h" |
---|
| 69 | |
---|
| 70 | |
---|
| 71 | |
---|
| 72 | |
---|
| 73 | |
---|
| 74 | /* Warning-- fiddling around with these in general may |
---|
| 75 | * influence the stability of the minimization process ! |
---|
| 76 | * |
---|
| 77 | * The latest Recator (D-CHOOZ as in hep-ph/0403068) setups |
---|
| 78 | * have TOLSYS 1.0E-12, whereas all the other setups have TOLSYS 1.0E-5 |
---|
| 79 | * and TOLSYS 1.0E-8 may be faster by 20% for Nufact (improves convergence |
---|
| 80 | * of the second layer of minimization) |
---|
| 81 | */ |
---|
| 82 | |
---|
| 83 | #define TOLSYS 1.0E-8 |
---|
| 84 | #define TOLOSC 1.0E-5 |
---|
| 85 | |
---|
| 86 | |
---|
| 87 | /* defines wether the program will run |
---|
| 88 | * with (1) or w/o mathematica (0) |
---|
| 89 | */ |
---|
| 90 | |
---|
| 91 | #define GLB_MATHLINK 1 |
---|
| 92 | |
---|
| 93 | /* Defines wether the thing runs on UNIX (0) or not (1) */ |
---|
| 94 | |
---|
| 95 | #define UNIX 0 |
---|
| 96 | |
---|
| 97 | #define FLOAT double |
---|
| 98 | |
---|
| 99 | //---------------------- |
---|
| 100 | |
---|
| 101 | /* this is for making the Chi... functions abortable */ |
---|
| 102 | static int okay_flag = 0; |
---|
| 103 | /* this needed by the wrappers in order not to return garbage */ |
---|
| 104 | static jmp_buf env; |
---|
| 105 | /* this is need by setjmp() longjmp() */ |
---|
| 106 | //-------------------------------------------------------- |
---|
| 107 | |
---|
| 108 | |
---|
| 109 | /* global variabels */ |
---|
| 110 | int glb_single_experiment_number=0; |
---|
| 111 | |
---|
| 112 | |
---|
| 113 | static double inp_errs[7]; |
---|
| 114 | static double start[7]; |
---|
| 115 | static int count=0; |
---|
| 116 | static int errordim[32]; |
---|
| 117 | static double sysglb_calc_buffer[6]; |
---|
| 118 | |
---|
| 119 | //------------------------------------------------------------- |
---|
| 120 | //------------------ MLAbort handling ------------------ |
---|
| 121 | //------------------------------------------------------------- |
---|
| 122 | // the whole stuff is being switched of if GLB_MATHLINK is set to 0. |
---|
| 123 | |
---|
| 124 | // this function handels a caught abort message |
---|
| 125 | // and jumps to the point where setjmp(env) has |
---|
| 126 | // been called. usually from one of the ChiTheta(), |
---|
| 127 | // MDChiTheta() or Chi() or SingleChi(). this |
---|
| 128 | // function then will return a garbage value. this |
---|
| 129 | // fact is comunicated to the wrappers with the |
---|
| 130 | // okay_flag. if they encounter an okay_flag=1 they |
---|
| 131 | // will send the Abort[] mathematica comand and then |
---|
| 132 | // return. |
---|
| 133 | |
---|
| 134 | static void ml_abort_handler() |
---|
| 135 | { |
---|
| 136 | fprintf(stderr,"Mathlink programe catched abort!\n"); |
---|
| 137 | longjmp(env,1); |
---|
| 138 | } |
---|
| 139 | |
---|
| 140 | // this function checks wether a abort message is sent by the |
---|
| 141 | // math-kernel, if so it calls the ml_abort_handler(). |
---|
| 142 | // otherwise it calls MLCallYieldFunction() in order to give |
---|
| 143 | // the kernel a possibility to send its message (this should |
---|
| 144 | // be needed only in Windows and on MacOS) |
---|
| 145 | |
---|
| 146 | #ifdef MLabort |
---|
| 147 | static void ml_abort_check(int flag) |
---|
| 148 | { |
---|
| 149 | |
---|
| 150 | if(flag==0) return; |
---|
| 151 | if(!MLAbort) |
---|
| 152 | { |
---|
| 153 | if(UNIX==1) MLCallYieldFunction(MLYieldFunction(stdlink), |
---|
| 154 | stdlink,(MLYieldParameters)0); |
---|
| 155 | } |
---|
| 156 | if(MLAbort) |
---|
| 157 | { |
---|
| 158 | ml_abort_handler(); |
---|
| 159 | } |
---|
| 160 | } |
---|
| 161 | #else |
---|
| 162 | static void ml_abort_check(int flag) |
---|
| 163 | { |
---|
| 164 | /* To silence gcc -Wall */ |
---|
| 165 | int i; |
---|
| 166 | i=flag; |
---|
| 167 | return; |
---|
| 168 | } |
---|
| 169 | |
---|
| 170 | #endif |
---|
| 171 | |
---|
| 172 | |
---|
| 173 | // functions for returning the bfp of systematic parameters |
---|
| 174 | |
---|
| 175 | static void to_glb_calc_buffer(double sys[],int len) |
---|
| 176 | { |
---|
| 177 | int i; |
---|
| 178 | for (i=0;i<len;i++) sysglb_calc_buffer[i]=sys[i+1]; |
---|
| 179 | return; |
---|
| 180 | } |
---|
| 181 | |
---|
| 182 | static void clear_glb_calc_buffer() |
---|
| 183 | { |
---|
| 184 | int i; |
---|
| 185 | for (i=0;i<6;i++) sysglb_calc_buffer[i]=0.0; |
---|
| 186 | return; |
---|
| 187 | } |
---|
| 188 | |
---|
| 189 | static double* read_glb_calc_buffer() |
---|
| 190 | { |
---|
| 191 | return &sysglb_calc_buffer[0]; |
---|
| 192 | } |
---|
| 193 | |
---|
| 194 | //-------------------------------------------------------------------------- |
---|
| 195 | //-------------------------------------------------------------------------- |
---|
| 196 | //------------------------ Systematics ------------------------------------- |
---|
| 197 | //-------------------------------------------------------------------------- |
---|
| 198 | //-------------------------------------------------------------------------- |
---|
| 199 | |
---|
| 200 | |
---|
| 201 | // this an init function - |
---|
| 202 | // setting up the input matrix for minimization |
---|
| 203 | // ie. the set of starting directions |
---|
| 204 | |
---|
| 205 | |
---|
| 206 | static void init_mat(double **m, int dim) |
---|
| 207 | { |
---|
| 208 | int i; |
---|
| 209 | int j; |
---|
| 210 | for (i=1 ;i<= dim;i++) |
---|
| 211 | { |
---|
| 212 | for (j=1;j<= dim;j++) |
---|
| 213 | { |
---|
| 214 | if (i==j) |
---|
| 215 | { |
---|
| 216 | m[i][j]=1.0; |
---|
| 217 | } |
---|
| 218 | else |
---|
| 219 | { |
---|
| 220 | m[i][j]=0.0; |
---|
| 221 | } |
---|
| 222 | } |
---|
| 223 | } |
---|
| 224 | } |
---|
| 225 | |
---|
| 226 | //This is a wraper for accessing the minimizer |
---|
| 227 | |
---|
| 228 | static double chi_sys_wrap(double (*chi_func)(), int dimension, int alpha_in) |
---|
| 229 | { |
---|
| 230 | double **mat; // contains the direction set |
---|
| 231 | double *sp; // stores the coordinates of the minimum |
---|
| 232 | double result=0; // stores the minimum value |
---|
| 233 | int it=0; // counts the number of iterations |
---|
| 234 | mat=glb_alloc_mat(1,dimension,1,dimension); |
---|
| 235 | sp=glb_alloc_vec(1,6); // that is the maximal length |
---|
| 236 | glb_rule_number=alpha_in; |
---|
| 237 | init_mat(mat,dimension); |
---|
| 238 | |
---|
| 239 | sp[1]=1; |
---|
| 240 | sp[2]=0; |
---|
| 241 | sp[3]=glb_bg_norm_center[alpha_in]; |
---|
| 242 | sp[4]=glb_bg_tilt_center[alpha_in]; |
---|
| 243 | sp[5]=glb_tre_null_center[alpha_in]; |
---|
| 244 | sp[6]=glb_tre_tilt_center[alpha_in]; |
---|
| 245 | glb_powell(sp,mat,dimension,TOLSYS,&it,&result,chi_func); |
---|
| 246 | glb_free_vec(sp,1,6); |
---|
| 247 | glb_free_mat(mat,1,dimension,1,dimension); |
---|
| 248 | return result; |
---|
| 249 | } |
---|
| 250 | //Chi^2 where the systematics are integrated out |
---|
| 251 | |
---|
| 252 | void glb_set_errordim(int typ, int rule) |
---|
| 253 | { |
---|
| 254 | errordim[rule]=typ; |
---|
| 255 | } |
---|
| 256 | |
---|
| 257 | int glb_check_errordim(int rule) |
---|
| 258 | { |
---|
| 259 | return errordim[rule]; |
---|
| 260 | } |
---|
| 261 | |
---|
| 262 | |
---|
| 263 | |
---|
| 264 | // probably will be replaced by a more object oriented approach |
---|
| 265 | |
---|
| 266 | // those two are needed in order to write unique |
---|
| 267 | // chi^2 functions |
---|
| 268 | double *glb_sys_errors; |
---|
| 269 | double *glb_sys_centers; |
---|
| 270 | |
---|
| 271 | struct glb_systematic glb_init_systematic(double (*chi_func)(),int dimension, |
---|
| 272 | double *sp, double *errors, double (*evalf)(), |
---|
| 273 | char info[]) |
---|
| 274 | { |
---|
| 275 | struct glb_systematic out; |
---|
| 276 | double *si,*se; |
---|
| 277 | int i; |
---|
| 278 | si=(double *) glb_malloc(sizeof(double)*dimension); |
---|
| 279 | se=(double *) glb_malloc(sizeof(double)*dimension); |
---|
| 280 | for(i=0;i<dimension;i++) si[i]=sp[i]; |
---|
| 281 | for(i=0;i<dimension;i++) se[i]=errors[i]; |
---|
| 282 | out.chi_func=chi_func; |
---|
| 283 | out.dimension=dimension; |
---|
| 284 | out.sp=si; |
---|
| 285 | out.errors=se; |
---|
| 286 | out.evalf=evalf; |
---|
| 287 | out.info=info; |
---|
| 288 | return out; |
---|
| 289 | } |
---|
| 290 | |
---|
| 291 | |
---|
| 292 | |
---|
| 293 | double glb_evaluate_chi(struct glb_systematic *in) |
---|
| 294 | { |
---|
| 295 | int i; |
---|
| 296 | double **mat; // contains the direction set |
---|
| 297 | double *spi; // stores the coordinates of the minimum |
---|
| 298 | double result=0; // stores the minimum value |
---|
| 299 | int it=0; // counts the number of iterations |
---|
| 300 | mat=glb_alloc_mat(1,in->dimension,1,in->dimension); |
---|
| 301 | spi=glb_alloc_vec(1,in->dimension); // that is the maximal length |
---|
| 302 | init_mat(mat,in->dimension); |
---|
| 303 | for(i=1;i<in->dimension+1;i++) spi[i]=in->sp[i-1]; |
---|
| 304 | // this part of the unified interface to this quantities |
---|
| 305 | glb_sys_centers=in->sp; |
---|
| 306 | glb_sys_errors=in->errors; |
---|
| 307 | //------------------------ |
---|
| 308 | glb_powell(spi,mat,in->dimension,TOLSYS,&it,&result,in->chi_func); |
---|
| 309 | glb_free_vec(spi,1,in->dimension); |
---|
| 310 | glb_free_mat(mat,1,in->dimension,1,in->dimension); |
---|
| 311 | return result; |
---|
| 312 | } |
---|
| 313 | |
---|
| 314 | // This is the central switch board for choosing the |
---|
| 315 | // chi^2 function and systematics treatment according |
---|
| 316 | // to each value of errordim |
---|
| 317 | |
---|
| 318 | static double chi_dispatch(int error_dim, int i) |
---|
| 319 | { |
---|
| 320 | // finally |
---|
| 321 | double erg2=0; |
---|
| 322 | |
---|
| 323 | if(error_dim==0) //chi^2 with 4 sys. parameters |
---|
| 324 | { |
---|
| 325 | erg2=chi_sys_wrap(&glb_chi_sys_w_bg,4,i); |
---|
| 326 | |
---|
| 327 | } |
---|
| 328 | else if(error_dim==1) //chi^2 with 6 sys. parameters |
---|
| 329 | { |
---|
| 330 | erg2=chi_sys_wrap(&glb_chi_sys_w_bg2,6,i); |
---|
| 331 | } |
---|
| 332 | else if(error_dim==2) // chi^2 without sys. parameters |
---|
| 333 | { |
---|
| 334 | erg2=chi_sys_wrap(&glb_chi_sys_w_bg,0,i); |
---|
| 335 | // it seems that the minimizer correctly interprest zero dimensions |
---|
| 336 | // as the function value at the starting point |
---|
| 337 | } |
---|
| 338 | else if(error_dim==3) // very special for JHF-HK |
---|
| 339 | { |
---|
| 340 | if(i<4) erg2=chi_sys_wrap(&glb_chi_sys_w_bg,4,i); |
---|
| 341 | else erg2=chi_sys_wrap(&glb_chi_sys_w_bgtot,4,i); |
---|
| 342 | } |
---|
| 343 | else if(error_dim==4) // total chi^2 with 4 sys parameters |
---|
| 344 | { |
---|
| 345 | erg2=chi_sys_wrap(&glb_chi_sys_w_bgtot2,4,i); |
---|
| 346 | } |
---|
| 347 | else if(error_dim==5) // obsolete |
---|
| 348 | { |
---|
| 349 | fprintf(stderr,"Warning: obsolete errordim\n"); |
---|
| 350 | erg2=0; |
---|
| 351 | } |
---|
| 352 | else if(error_dim==6) // obsolete |
---|
| 353 | { |
---|
| 354 | fprintf(stderr,"Warning: obsolete errordim\n"); |
---|
| 355 | erg2=0; |
---|
| 356 | } |
---|
| 357 | else if(error_dim==7) // free normalization, i.e. spectrum only |
---|
| 358 | { |
---|
| 359 | erg2=chi_sys_wrap(&glb_chi_spec,1,i); |
---|
| 360 | } |
---|
| 361 | else if(error_dim==8) //total chi^2 w/o systematics |
---|
| 362 | { |
---|
| 363 | erg2=chi_sys_wrap(&glb_chi_sys_w_bgtot2,0,i); |
---|
| 364 | } |
---|
| 365 | else if(error_dim==9) // chi^2 with 4 syst params and |
---|
| 366 | // true energy calibration |
---|
| 367 | { |
---|
| 368 | erg2=chi_sys_wrap(&glb_chi_sys_w_bg_calib,4,i); |
---|
| 369 | } |
---|
| 370 | else if(error_dim==10) // total chi^2 with 4 syst params |
---|
| 371 | { |
---|
| 372 | erg2=chi_sys_wrap(&glb_chi_sys_w_bgtot,4,i); |
---|
| 373 | } |
---|
| 374 | else if(error_dim==20) // total chi^2 with 4 syst params |
---|
| 375 | { |
---|
| 376 | erg2=glb_evaluate_chi(&sys_calc[i]); |
---|
| 377 | } |
---|
| 378 | else if(error_dim==21) // total chi^2 with 4 syst params |
---|
| 379 | { |
---|
| 380 | erg2=sys_calc[i].evalf(&sys_calc[i]); |
---|
| 381 | } |
---|
| 382 | else |
---|
| 383 | { |
---|
| 384 | erg2=0; |
---|
| 385 | } |
---|
| 386 | return erg2; |
---|
| 387 | } |
---|
| 388 | |
---|
| 389 | static double ChiS0(int typ[]) |
---|
| 390 | { |
---|
| 391 | double erg2; |
---|
| 392 | int i,rul; |
---|
| 393 | |
---|
| 394 | ml_abort_check(GLB_MATHLINK); |
---|
| 395 | |
---|
| 396 | erg2=0; |
---|
| 397 | for (i=0;i<glb_num_of_rules;i++) |
---|
| 398 | { |
---|
| 399 | erg2+=chi_dispatch(typ[i],i); |
---|
| 400 | } |
---|
| 401 | |
---|
| 402 | glb_rule_number=0; |
---|
| 403 | return erg2; |
---|
| 404 | } |
---|
| 405 | |
---|
| 406 | // this is the same as ChiSO() but it allows access to a single rule ! |
---|
| 407 | |
---|
| 408 | static double ChiS0_Rule(int typ[],int rule) |
---|
| 409 | { |
---|
| 410 | double erg2; |
---|
| 411 | clear_glb_calc_buffer(); |
---|
| 412 | erg2=chi_dispatch(typ[rule],rule); |
---|
| 413 | glb_rule_number=0; |
---|
| 414 | return erg2; |
---|
| 415 | } |
---|
| 416 | |
---|
| 417 | //--------------------------------------------------------------- |
---|
| 418 | //---------- MES begins here ------------------------------------ |
---|
| 419 | //--------------------------------------------------------------- |
---|
| 420 | |
---|
| 421 | // redfinition of ChiS |
---|
| 422 | |
---|
| 423 | static double ChiS() |
---|
| 424 | { |
---|
| 425 | double erg; |
---|
| 426 | int i; |
---|
| 427 | erg=0; |
---|
| 428 | for (i=0;i<glb_num_of_exps;i++) |
---|
| 429 | { |
---|
| 430 | glbSetExperiment(glb_experiment_list[i]); |
---|
| 431 | erg += ChiS0(glb_experiment_list[i]->errordim); |
---|
| 432 | } |
---|
| 433 | return erg; |
---|
| 434 | } |
---|
| 435 | |
---|
| 436 | //redefinition of Chi |
---|
| 437 | |
---|
| 438 | static double Chi(double x[]) |
---|
| 439 | { |
---|
| 440 | int i; |
---|
| 441 | double erg; |
---|
| 442 | glb_set_c_vacuum_parameters(x[0],x[1],x[2],x[3]); |
---|
| 443 | glb_set_c_squared_masses(0,x[4],x[5]); |
---|
| 444 | for (i=0;i<glb_num_of_exps;i++) |
---|
| 445 | { |
---|
| 446 | glbSetExperiment(glb_experiment_list[i]); |
---|
| 447 | glb_set_profile_scaling(x[6+i],i); |
---|
| 448 | glb_set_new_rates(); |
---|
| 449 | } |
---|
| 450 | if (setjmp(env)==1) |
---|
| 451 | { |
---|
| 452 | okay_flag=1; |
---|
| 453 | return erg; |
---|
| 454 | } |
---|
| 455 | erg=ChiS(); |
---|
| 456 | return erg; |
---|
| 457 | } |
---|
| 458 | |
---|
| 459 | |
---|
| 460 | |
---|
| 461 | |
---|
| 462 | // chi^2 with systematics for each Experiment |
---|
| 463 | |
---|
| 464 | static double SingleChi(double x[7],int exp) |
---|
| 465 | { |
---|
| 466 | double erg; |
---|
| 467 | glb_set_c_vacuum_parameters(x[0], x[1],x[2],x[3]); |
---|
| 468 | glb_set_c_squared_masses(0,x[4],x[5]); |
---|
| 469 | |
---|
| 470 | glbSetExperiment(glb_experiment_list[exp]); |
---|
| 471 | glb_set_profile_scaling(x[6],exp); |
---|
| 472 | glb_set_new_rates(); |
---|
| 473 | |
---|
| 474 | |
---|
| 475 | |
---|
| 476 | glbSetExperiment(glb_experiment_list[exp]); |
---|
| 477 | if (setjmp(env)==1) |
---|
| 478 | { |
---|
| 479 | okay_flag=1; |
---|
| 480 | return erg; |
---|
| 481 | } |
---|
| 482 | erg=ChiS0(errordim); |
---|
| 483 | return erg; |
---|
| 484 | } |
---|
| 485 | |
---|
| 486 | // chi^2 with systematics for each Experiment |
---|
| 487 | |
---|
| 488 | static double SingleRuleChi(double x[7],int exp, int rule) |
---|
| 489 | { |
---|
| 490 | double erg; |
---|
| 491 | glb_set_c_vacuum_parameters(x[0], x[1],x[2],x[3]); |
---|
| 492 | glb_set_c_squared_masses(0,x[4],x[5]); |
---|
| 493 | |
---|
| 494 | glbSetExperiment(glb_experiment_list[exp]); |
---|
| 495 | glb_set_profile_scaling(x[6],exp); |
---|
| 496 | glb_set_new_rates(); |
---|
| 497 | |
---|
| 498 | |
---|
| 499 | |
---|
| 500 | glbSetExperiment(glb_experiment_list[exp]); |
---|
| 501 | erg=ChiS0_Rule(errordim,rule); |
---|
| 502 | return erg; |
---|
| 503 | } |
---|
| 504 | |
---|
| 505 | /* Wrappers for the API */ |
---|
| 506 | |
---|
| 507 | double glbChiSys(const glb_params in,int experiment, int rule) |
---|
| 508 | { |
---|
| 509 | int i; |
---|
| 510 | double res,x[38]; |
---|
| 511 | |
---|
| 512 | if(in==NULL) |
---|
| 513 | { |
---|
| 514 | glb_error("Failure in glbChiSys: Input pointer must be non-NULL"); |
---|
| 515 | return -1; |
---|
| 516 | } |
---|
| 517 | for(i=0;i<GLB_OSCP;i++) x[i]=glbGetOscParams(in,i); |
---|
| 518 | if(experiment==GLB_ALL) |
---|
| 519 | { |
---|
| 520 | if(rule==GLB_ALL) |
---|
| 521 | { |
---|
| 522 | for(i=0;i<glb_num_of_exps;i++) |
---|
| 523 | x[i+GLB_OSCP]=glbGetDensityParams(in,i); |
---|
| 524 | res=Chi(x); |
---|
| 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 | } |
---|