LORENE
et_rot_mag_mag.C
1/*
2 * Computes magnetic fields and derived quantities for rotating equilibrium
3 *
4 * (see file et_rot_mag.h for documentation)
5 *
6 */
7
8/*
9 * Copyright (c) 2002 Emmanuel Marcq
10 * Copyright (c) 2002 Jerome Novak
11 *
12 * This file is part of LORENE.
13 *
14 * LORENE is free software; you can redistribute it and/or modify
15 * it under the terms of the GNU General Public License as published by
16 * the Free Software Foundation; either version 2 of the License, or
17 * (at your option) any later version.
18 *
19 * LORENE is distributed in the hope that it will be useful,
20 * but WITHOUT ANY WARRANTY; without even the implied warranty of
21 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
22 * GNU General Public License for more details.
23 *
24 * You should have received a copy of the GNU General Public License
25 * along with LORENE; if not, write to the Free Software
26 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
27 *
28 */
29
30
31
32/*
33 * $Id: et_rot_mag_mag.C,v 1.19 2022/06/30 16:24:16 j_novak Exp $
34 * $Log: et_rot_mag_mag.C,v $
35 * Revision 1.19 2022/06/30 16:24:16 j_novak
36 * Corrected a bug in the matching of A_t potential in the case np>1 (loops were not correctly set).
37 *
38 * Revision 1.18 2016/12/05 16:17:54 j_novak
39 * Suppression of some global variables (file names, loch, ...) to prevent redefinitions
40 *
41 * Revision 1.17 2014/10/13 08:52:58 j_novak
42 * Lorene classes and functions now belong to the namespace Lorene.
43 *
44 * Revision 1.16 2014/09/03 15:33:42 j_novak
45 * Filtering of Maxwell sources is now optional.
46 *
47 * Revision 1.15 2014/07/04 12:15:12 j_novak
48 * Added filtering.
49 *
50 * Revision 1.14 2005/06/03 15:31:56 j_novak
51 * Better computation when more than one point in phi.
52 *
53 * Revision 1.13 2003/10/03 15:58:47 j_novak
54 * Cleaning of some headers
55 *
56 * Revision 1.12 2002/09/09 13:00:39 e_gourgoulhon
57 * Modification of declaration of Fortran 77 prototypes for
58 * a better portability (in particular on IBM AIX systems):
59 * All Fortran subroutine names are now written F77_* and are
60 * defined in the new file C++/Include/proto_f77.h.
61 *
62 * Revision 1.11 2002/06/05 15:15:59 j_novak
63 * The case of non-adapted mapping is treated.
64 * parmag.d and parrot.d have been merged.
65 *
66 * Revision 1.10 2002/06/03 13:23:16 j_novak
67 * The case when the mapping is not adapted is now treated
68 *
69 * Revision 1.9 2002/06/03 13:00:45 e_marcq
70 *
71 * conduc parameter read in parmag.d
72 *
73 * Revision 1.7 2002/05/20 10:31:59 j_novak
74 * *** empty log message ***
75 *
76 * Revision 1.6 2002/05/17 15:08:01 e_marcq
77 *
78 * Rotation progressive plug-in, units corrected, Q and a_j new member data
79 *
80 * Revision 1.5 2002/05/16 10:02:09 j_novak
81 * Errors in stress energy tensor corrected
82 *
83 * Revision 1.4 2002/05/15 09:54:00 j_novak
84 * First operational version
85 *
86 * Revision 1.3 2002/05/14 13:38:36 e_marcq
87 *
88 *
89 * Unit update, new outputs
90 *
91 * Revision 1.1 2002/05/10 09:26:52 j_novak
92 * Added new class Et_rot_mag for magnetized rotating neutron stars (under development)
93 *
94 *
95 * $Header: /cvsroot/Lorene/C++/Source/Etoile/et_rot_mag_mag.C,v 1.19 2022/06/30 16:24:16 j_novak Exp $
96 *
97 */
98
99// Headers C
100#include <cstdlib>
101#include <cmath>
102
103// Headers Lorene
104#include "et_rot_mag.h"
105#include "utilitaires.h"
106#include "param.h"
107#include "proto_f77.h"
108#include "graphique.h"
109#include "tensor.h"
110
111namespace Lorene {
112// Local prototype (for drawings only)
113Cmp raccord_c1(const Cmp& uu, int l1) ;
114
115// Algo du papier de 1995
116
117void Et_rot_mag::magnet_comput(const int adapt_flag,
118 Cmp (*f_j)(const Cmp&, const double),
119 Param& par_poisson_At,
120 Param& par_poisson_Avect){
121 double relax_mag = 0.5 ;
122
123 int mag_filter = 0 ;
124 if (par_poisson_At.get_n_int() > 1)
125 mag_filter = par_poisson_At.get_int(1) ;
126
127 int Z = mp.get_mg()->get_nzone();
128
129 if(is_conduct()) {
130 bool adapt(adapt_flag) ;
131 /****************************************************************
132 * Assertion that all zones have same number of points in theta
133 ****************************************************************/
134 int nt = mp.get_mg()->get_nt(nzet-1) ;
135 int np = mp.get_mg()->get_np(nzet-1) ;
136 for (int l=0; l<Z; l++) assert(mp.get_mg()->get_nt(l) == nt) ;
137
138 Tbl Rsurf(nt) ;
139 Rsurf.set_etat_qcq() ;
140 mp.r.fait() ;
141 mp.tet.fait() ;
142 Mtbl* theta = mp.tet.c ;
143 const Map_radial* mpr = dynamic_cast<const Map_radial*>(&mp) ;
144 assert (mpr != 0x0) ;
145 for (int j=0; j<nt; j++)
146 Rsurf.set(j) = mpr->val_r_jk(l_surf()(0,j), xi_surf()(0,j), j, 0) ;
147
148
149 // Calcul de A_0t dans l'etoile (conducteur parfait)
150
151 Cmp A_0t(- omega * A_phi) ;
152 //A_0t.annule(nzet,Z-1) ;
153
154 Tenseur ATTENS(A_t) ;
155 Tenseur APTENS(A_phi) ;
156 Tenseur BMN(-logn) ;
157 BMN = BMN + log(bbb) ;
158 BMN.set_std_base() ;
159
160
162 nphi.gradient_spher())());
164 nphi.gradient_spher())()) ;
166 BMN.gradient_spher())()
168 BMN.gradient_spher())()) ;
169
170 Cmp ATANT(A_phi.srdsdt()); // Constrction par copie pour mapping
171
172 ATANT.va = ATANT.va.mult_ct().ssint() ;
173
174 Cmp ttnphi(tnphi()) ;
175 ttnphi.mult_rsint() ;
176 Cmp BLAH(- b_car()/(nnn()*nnn())*ttnphi*grad1) ;
177 BLAH -= (1+b_car()/(nnn()*nnn())*tnphi()*tnphi())*grad2 ;
178 Cmp nphisr(nphi()) ;
179 nphisr.div_r() ;
180 Cmp npgrada(2*nphisr*(A_phi.dsdr()+ATANT )) ;
181 npgrada.inc2_dzpuis() ;
182 BLAH -= grad3 + npgrada ;
183 Cmp gtt(-nnn()*nnn()+b_car()*tnphi()*tnphi()) ;
184 Cmp gtphi( - b_car()*ttnphi) ;
185
186 // Calcul de j_t grace a Maxwell-Gauss
187 Cmp tmp(((BLAH - A_0t.laplacien())/a_car() - gtphi*j_phi)
188 / gtt);
189 tmp.annule(nzet, Z-1) ;
190 if (adapt) {
191 j_t = tmp ;
192 }
193 else {
194 j_t.allocate_all() ;
195 for (int k=0; k<np; k++)
196 for (int j=0; j<nt; j++)
197 for (int l=0; l<nzet; l++)
198 for (int i=0; i<mp.get_mg()->get_nr(l); i++)
199 j_t.set(l,k,j,i) = ( (*mp.r.c)(l,k,j,i) > Rsurf(j) ?
200 0. : tmp(l,k,j,i) ) ;
201 j_t.annule(nzet,Z-1) ;
202 }
203 j_t.std_base_scal() ;
204
205
206 // Calcul du courant j_phi
207 j_phi = omega * j_t + (ener() + press())*f_j(A_phi, a_j) ;
208 j_phi.std_base_scal() ;
209
210 // Resolution de Maxwell Ampere (-> A_phi)
211 // Calcul des termes sources avec A-t du pas precedent.
212
214 BMN.gradient_spher())());
215
216 Tenseur source_tAphi(mp, 1, CON, mp.get_bvect_spher()) ;
217
218 source_tAphi.set_etat_qcq() ;
219 Cmp tjphi(j_phi) ;
220 tjphi.mult_rsint() ;
221 Cmp tgrad1(grad1) ;
222 tgrad1.mult_rsint() ;
223 Cmp d_grad4(grad4) ;
224 d_grad4.div_rsint() ;
225 source_tAphi.set(0)=0 ;
226 source_tAphi.set(1)=0 ;
227 source_tAphi.set(2)= -b_car()*a_car()*(tjphi-tnphi()*j_t)
228 + b_car()/(nnn()*nnn())*(tgrad1+tnphi()*grad2)+d_grad4 ;
229
230 source_tAphi.change_triad(mp.get_bvect_cart());
231 if (mag_filter == 1) {
232 for (int i=0; i<3; i++) {
233 Scalar tmp_filter = source_tAphi(i) ;
234 tmp_filter.exponential_filter_r(0, 2, 1) ;
235 tmp_filter.exponential_filter_ylm(0, 2, 1) ;
236 source_tAphi.set(i) = tmp_filter ;
237 }
238 }
239
240
241 Tenseur WORK_VECT(mp, 1, CON, mp.get_bvect_cart()) ;
242 WORK_VECT.set_etat_qcq() ;
243 for (int i=0; i<3; i++) {
244 WORK_VECT.set(i) = 0 ;
245 }
246 Tenseur WORK_SCAL(mp) ;
247 WORK_SCAL.set_etat_qcq() ;
248 WORK_SCAL.set() = 0 ;
249
250 double lambda_mag = 0. ; // No 3D version !
251
252 Tenseur AVECT(source_tAphi) ;
253 if (source_tAphi.get_etat() != ETATZERO) {
254
255 for (int i=0; i<3; i++) {
256 if(source_tAphi(i).dz_nonzero()) {
257 assert( source_tAphi(i).get_dzpuis() == 4 ) ;
258 }
259 else{
260 (source_tAphi.set(i)).set_dzpuis(4) ;
261 }
262 }
263
264 }
265 source_tAphi.poisson_vect(lambda_mag, par_poisson_Avect, AVECT, WORK_VECT,
266 WORK_SCAL) ;
267 AVECT.change_triad(mp.get_bvect_spher());
268 Cmp A_phi_n(AVECT(2));
269 A_phi_n.mult_rsint() ;
270
271 // Resolution de Maxwell-Ampere : A_1
272
273 Cmp source_A_1t(-a_car()*(j_t*gtt + j_phi*gtphi) + BLAH);
274 if (mag_filter == 1) {
275 Scalar tmp_filter = source_A_1t ;
276 tmp_filter.exponential_filter_r(0, 2, 1) ;
277 tmp_filter.exponential_filter_ylm(0, 2, 1) ;
278 source_A_1t = tmp_filter ;
279 }
280
281 Cmp A_1t(mp);
282 A_1t = 0 ;
283
284 source_A_1t.poisson(par_poisson_At, A_1t) ;
285
286 int L = mp.get_mg()->get_nt(0) ;
287
288 Tbl MAT(L,L) ;
289 Tbl MAT_PHI(L,L);
290 Tbl VEC(L) ;
291
292 MAT.set_etat_qcq() ;
293 VEC.set_etat_qcq() ;
294 MAT_PHI.set_etat_qcq() ;
295
296 Tbl leg(L,2*L) ;
297 leg.set_etat_qcq() ;
298
299 Cmp psi(mp);
300 Cmp psi2(mp);
301 Cmp psi3(mp);
302 psi.allocate_all() ;
303 psi2.allocate_all() ;
304 psi3.allocate_all() ;
305
306 Tbl VEC3(L) ;
307 VEC3.set_etat_qcq() ;
308 for (int i=0; i<L; i++)
309 VEC3.set(i) = 1. / double(i+1) ;
310
311 for (int p=0; p<np; p++) {
312 // leg[k,l] : legendre_l(cos(theta_k))
313 // Construction par recurrence de degre 2
314 for(int k=0;k<L;k++){
315 for(int l=0;l<2*L;l++){
316
317 if(l==0) leg.set(k,l)=1. ;
318 if(l==1) leg.set(k,l)=cos((*theta)(l_surf()(p,k),p,k,0)) ;
319 if(l>=2) leg.set(k,l) = double(2*l-1)/double(l)
320 * cos((*theta)(l_surf()(p,k),p,k,0))
321 * leg(k,l-1)-double(l-1)/double(l)*leg(k,l-2) ;
322 }
323 }
324
325 for(int k=0;k<L;k++){
326
327 // Valeurs a la surface trouvees via va.val_point_jk(l,xisurf,k,p)
328
329 VEC.set(k) = A_0t.va.val_point_jk(l_surf()(p,k), xi_surf()(p,k), k, p)
330 -A_1t.va.val_point_jk(l_surf()(p,k), xi_surf()(p,k), k, p);
331
332 for(int l=0;l<L;l++) MAT.set(l,k) = leg(k,2*l)/pow(Rsurf(k),2*l+1);
333
334 }
335 // appel fortran :
336
337 int* IPIV=new int[L] ;
338 int INFO ;
339
340 Tbl MAT_SAVE(MAT) ;
341 Tbl VEC2(L) ;
342 VEC2.set_etat_qcq() ;
343 int un = 1 ;
344
345 F77_dgesv(&L, &un, MAT.t, &L, IPIV, VEC.t, &L, &INFO) ;
346
347 // coeffs a_l dans VEC
348
349 for(int k=0;k<L;k++) {VEC2.set(k)=1. ; }
350
351 F77_dgesv(&L, &un, MAT_SAVE.t, &L, IPIV, VEC2.t, &L, &INFO) ;
352
353 delete [] IPIV ;
354
355 for(int nz=0;nz < Z; nz++){
356 for(int i=0;i< mp.get_mg()->get_nr(nz);i++){
357 for(int k=0;k<L;k++){
358 psi.set(nz,p,k,i) = 0. ;
359 psi2.set(nz,p,k,i) = 0. ;
360 psi3.set(nz,p,k,i) = 0. ;
361 for(int l=0;l<L;l++){
362 psi.set(nz,p,k,i) += VEC(l)*leg(k,2*l) /
363 pow((*mp.r.c)(nz,p,k,i),2*l+1);
364 psi2.set(nz,p,k,i) += VEC2(l)*leg(k,2*l)/
365 pow((*mp.r.c)(nz, p, k,i),2*l+1);
366 psi3.set(nz,p,k,i) += VEC3(l)*leg(k,2*l)/
367 (pow((*mp.r.c)(nz, p, k,i),2*l+1)) ;
368 }
369 }
370 }
371 }
372 }
373 psi.std_base_scal() ;
374 psi2.std_base_scal() ;
375
376 assert(psi.get_dzpuis() == 0) ;
377 int dif = A_1t.get_dzpuis() ;
378 if (dif > 0) {
379 for (int d=0; d<dif; d++) A_1t.dec_dzpuis() ;
380 }
381
382 if (adapt) {
383 Cmp A_t_ext(A_1t + psi) ;
384 A_t_ext.annule(0,nzet-1) ;
385 A_0t += A_t_ext ;
386 }
387 else {
388 tmp = A_0t ;
389 A_0t.allocate_all() ;
390 for (int k=0; k<np; k++)
391 for (int j=0; j<nt; j++)
392 for (int l=0; l<Z; l++)
393 for (int i=0; i<mp.get_mg()->get_nr(l); i++)
394 A_0t.set(l,k,j,i) = ( (*mp.r.c)(l,k,j,i) > Rsurf(j) ?
395 A_1t(l,k,j,i) + psi(l,k,j,i) : tmp(l,k,j,i) ) ;
396 }
397 A_0t.std_base_scal() ;
398
399 if (mag_filter == 1) {
400 Scalar tmp_filter = A_0t ;
401 tmp_filter.exponential_filter_r(0, 2, 1) ;
402 tmp_filter.exponential_filter_ylm(0, 2, 1) ;
403 A_0t = tmp_filter ;
404 }
405
406 Valeur** asymp = A_0t.asymptot(1) ;
407
408 double Q_0 = -4*M_PI*(*asymp[1])(Z-1,0,0,0) ; // utilise A_0t plutot que E
409 delete asymp[0] ;
410 delete asymp[1] ;
411
412 delete [] asymp ;
413
414 asymp = psi2.asymptot(1) ;
415
416 double Q_2 = -4*M_PI*(*asymp[1])(Z-1,0,0,0) ; // A_2t = psi2 a l'infini
417 delete asymp[0] ;
418 delete asymp[1] ;
419
420 delete [] asymp ;
421
422 // solution definitive de A_t:
423
424 double C = (Q-Q_0)/Q_2 ;
425
426 assert(psi2.get_dzpuis() == 0) ;
427 dif = A_0t.get_dzpuis() ;
428 if (dif > 0) {
429 for (int d=0; d<dif; d++) A_0t.dec_dzpuis() ;
430 }
431 Cmp A_t_n(mp) ;
432 if (adapt) {
433 A_t_n = A_0t + C ;
434 Cmp A_t_ext(A_0t + C*psi2) ;
435 A_t_ext.annule(0,nzet-1) ;
436 A_t_n.annule(nzet,Z-1) ;
437 A_t_n += A_t_ext ;
438 }
439 else {
440 A_t_n.allocate_all() ;
441 for (int k=0; k<np; k++)
442 for (int j=0; j<nt; j++)
443 for (int l=0; l<Z; l++)
444 for (int i=0; i<mp.get_mg()->get_nr(l); i++) {
445 A_t_n.set(l,k,j,i) = ( (*mp.r.c)(l,k,j,i) > Rsurf(j) ?
446 A_0t(l,k,j,i) + C*psi2(l,k,j,i) :
447 A_0t(l,k,j,i) + C ) ;
448 }
449 }
450 A_t_n.std_base_scal() ;
451 if (mag_filter == 1) {
452 Scalar tmp_filter = A_t_n ;
453 tmp_filter.exponential_filter_r(0, 2, 1) ;
454 tmp_filter.exponential_filter_ylm(0, 2, 1) ;
455 A_t_n = tmp_filter ;
456 }
457
458 asymp = A_t_n.asymptot(1) ;
459
460 delete asymp[0] ;
461 delete asymp[1] ;
462
463 delete [] asymp ;
464 A_t = relax_mag*A_t_n + (1.-relax_mag)*A_t ;
465 A_phi = relax_mag*A_phi_n + (1. - relax_mag)*A_phi ;
466
467 } // End of perfect conductor case
468
469 else
470 {
471
472 /***************
473 * CAS ISOLANT *
474 ***************/
475
476 // Calcul de j_t
477 j_t = Q*nbar() + (ener()+press())*f_j(omega* A_phi - A_t,a_j) ;
478 j_t.annule(nzet,Z-1) ;
479 j_t.std_base_scal() ;
480
481 // Calcul de j_phi
482 j_phi = omega * j_t ;
483 j_phi.std_base_scal() ;
484
485 // Resolution de A_t
486
487 Tenseur ATTENS(A_t) ;
488 Tenseur APTENS(A_phi) ;
489 Tenseur BMN(-logn) ;
490 BMN = BMN + log(bbb) ;
491 BMN.set_std_base() ;
492
493
495 nphi.gradient_spher())());
497 nphi.gradient_spher())()) ;
499 BMN.gradient_spher())()
501 BMN.gradient_spher())()) ;
502
503 Cmp ATANT(A_phi.srdsdt());
504
505 ATANT.va = ATANT.va.mult_ct().ssint() ;
506
507 Cmp ttnphi(tnphi()) ;
508 ttnphi.mult_rsint() ;
509 Cmp BLAH(- b_car()/(nnn()*nnn())*ttnphi*grad1) ;
510 BLAH -= (1+b_car()/(nnn()*nnn())*tnphi()*tnphi())*grad2 ;
511 Cmp nphisr(nphi()) ;
512 nphisr.div_r() ;
513 Cmp npgrada(2*nphisr*(A_phi.dsdr()+ATANT )) ;
514 npgrada.inc2_dzpuis() ;
515 BLAH -= grad3 + npgrada ;
516 Cmp gtt(-nnn()*nnn()+b_car()*tnphi()*tnphi()) ;
517 Cmp gtphi( - b_car()*ttnphi) ;
518
519 Cmp source_A_t_n(mp);
520 if (relativistic) {
521 source_A_t_n = (-a_car()*(j_t*gtt + j_phi*gtphi) + BLAH);
522 source_A_t_n.std_base_scal();}
523 else{
524 source_A_t_n = j_t;}
525
526 Cmp A_t_n(A_t) ;
527 A_t_n = 0 ;
528 A_t_n.std_base_scal() ;
529
530 source_A_t_n.poisson(par_poisson_At, A_t_n) ;
531
532 // Resolution de A_phi
533
535 BMN.gradient_spher())());
536
537 Tenseur source_tAphi(mp, 1, CON, mp.get_bvect_spher()) ;
538
539 source_tAphi.set_etat_qcq() ;
540
541 Cmp tjphi(j_phi) ;
542 tjphi.mult_rsint() ;
543 Cmp tgrad1(grad1) ;
544 tgrad1.mult_rsint() ;
545 Cmp d_grad4(grad4) ;
546 d_grad4.div_rsint() ;
547 source_tAphi.set(0)=0 ;
548 source_tAphi.set(1)=0 ;
549
550 if (relativistic) {
551 source_tAphi.set(2)= -b_car()*a_car()*(tjphi-tnphi()*j_t)
552 + b_car()/(nnn()*nnn())*(tgrad1+tnphi()*grad2)+d_grad4 ;}
553 else{
554 source_tAphi.set(2)= - tjphi ;}
555
556 source_tAphi.change_triad(mp.get_bvect_cart());
557
558 Tenseur WORK_VECT(mp, 1, CON, mp.get_bvect_cart()) ;
559 WORK_VECT.set_etat_qcq() ;
560 for (int i=0; i<3; i++) {
561 WORK_VECT.set(i) = 0 ;
562 }
563 Tenseur WORK_SCAL(mp) ;
564 WORK_SCAL.set_etat_qcq() ;
565 WORK_SCAL.set() = 0 ;
566
567 double lambda_mag = 0. ; // No 3D version !
568
569 Tenseur AVECT(source_tAphi) ;
570 if (source_tAphi.get_etat() != ETATZERO) {
571
572 for (int i=0; i<3; i++) {
573 if(source_tAphi(i).dz_nonzero()) {
574 assert( source_tAphi(i).get_dzpuis() == 4 ) ;
575 }
576 else{
577 (source_tAphi.set(i)).set_dzpuis(4) ;
578 }
579 }
580
581 }
582 source_tAphi.poisson_vect(lambda_mag, par_poisson_Avect, AVECT, WORK_VECT,
583 WORK_SCAL) ;
584 AVECT.change_triad(mp.get_bvect_spher());
585 Cmp A_phi_n(AVECT(2));
586 A_phi_n.mult_rsint() ;
587
588 // Relaxation
589
590 A_t = relax_mag*A_t_n + (1.-relax_mag)*A_t ;
591 A_phi = relax_mag*A_phi_n + (1. - relax_mag)*A_phi ;
592
593 }
594
595
596}
597
598
599
600
601
602
603
604
605
606
607
608
609
610}
Component of a tensorial field *** DEPRECATED : use class Scalar instead ***.
Definition cmp.h:446
void mult_rsint()
Multiplication by .
void allocate_all()
Sets the logical state to ETATQCQ (ordinary state) and performs the memory allocation of all the elem...
Definition cmp.C:326
void div_r()
Division by r everywhere.
Definition cmp_r_manip.C:81
void dec_dzpuis()
Decreases by 1 the value of dzpuis and changes accordingly the values of the Cmp in the external comp...
Valeur va
The numerical value of the Cmp.
Definition cmp.h:464
void std_base_scal()
Sets the spectral bases of the Valeur va to the standard ones for a scalar.
Definition cmp.C:647
void annule(int l)
Sets the Cmp to zero in a given domain.
Definition cmp.C:351
const Cmp & laplacien(int zec_mult_r=4) const
Returns the Laplacian of *this.
Definition cmp_deriv.C:245
int get_dzpuis() const
Returns dzpuis.
Definition cmp.h:903
void inc2_dzpuis()
Increases by 2 the value of dzpuis and changes accordingly the values of the Cmp in the external comp...
Tbl & set(int l)
Read/write of the value in a given domain.
Definition cmp.h:724
Valeur ** asymptot(int n, const int flag=0) const
Asymptotic expansion at r = infinity.
void div_rsint()
Division by .
Cmp poisson() const
Solves the scalar Poisson equation with *this as a source.
Definition cmp_pde.C:97
Cmp j_phi
-component of the current 4-vector
Definition et_rot_mag.h:159
Cmp A_phi
-component of the electromagnetic potential 1-form divided by .
Definition et_rot_mag.h:155
double a_j
Amplitude of the curent/charge function.
Definition et_rot_mag.h:180
void magnet_comput(const int adapt_flag, Cmp(*f_j)(const Cmp &x, const double), Param &par_poisson_At, Param &par_poisson_Avect)
Computes the electromagnetic quantities solving the Maxwell equations (6) and (7) of [Bocquet,...
Cmp A_t
t-component of the elecctromagnetic potential 1-form, divided by .
Definition et_rot_mag.h:150
bool is_conduct() const
Tells if the star is made of conducting or isolating material.
Definition et_rot_mag.h:241
Cmp j_t
t-component of the current 4-vector
Definition et_rot_mag.h:158
double Q
In the case of a perfect conductor, the requated baryonic charge.
Definition et_rot_mag.h:179
double omega
Rotation angular velocity ([f_unit] ).
Definition etoile.h:1504
Tenseur & logn
Metric potential = logn_auto.
Definition etoile.h:1524
virtual const Itbl & l_surf() const
Description of the stellar surface: returns a 2-D Itbl containing the values of the domain index l on...
Tenseur nphi
Metric coefficient .
Definition etoile.h:1513
Tenseur bbb
Metric factor B.
Definition etoile.h:1507
Tenseur b_car
Square of the metric factor B.
Definition etoile.h:1510
Tenseur tnphi
Component of the shift vector.
Definition etoile.h:1518
int nzet
Number of domains of *mp occupied by the star.
Definition etoile.h:435
Tenseur nnn
Total lapse function.
Definition etoile.h:512
Tenseur nbar
Baryon density in the fluid frame.
Definition etoile.h:462
Map & mp
Mapping associated with the star.
Definition etoile.h:432
Tenseur ener
Total energy density in the fluid frame.
Definition etoile.h:463
Tenseur press
Fluid pressure.
Definition etoile.h:464
bool relativistic
Indicator of relativity: true for a relativistic star, false for a Newtonian one.
Definition etoile.h:440
const Tbl & xi_surf() const
Description of the stellar surface: returns a 2-D Tbl containing the values of the radial coordinat...
Tenseur a_car
Total conformal factor .
Definition etoile.h:518
Base class for pure radial mappings.
Definition map.h:1551
virtual double val_r_jk(int l, double xi, int j, int k) const =0
Returns the value of the radial coordinate r for a given and a given collocation point in in a give...
Multi-domain array.
Definition mtbl.h:118
Parameter storage.
Definition param.h:125
const int & get_int(int position=0) const
Returns the reference of a int stored in the list.
Definition param.C:295
int get_n_int() const
Returns the number of stored int 's addresses.
Definition param.C:242
Tensor field of valence 0 (or component of a tensorial field).
Definition scalar.h:393
virtual void exponential_filter_ylm(int lzmin, int lzmax, int p, double alpha=-16.)
Applies an exponential filter to the spectral coefficients in the angular directions.
virtual void exponential_filter_r(int lzmin, int lzmax, int p, double alpha=-16.)
Applies an exponential filter to the spectral coefficients in the radial direction.
Basic array class.
Definition tbl.h:161
void set_etat_qcq()
Sets the logical state to ETATQCQ (ordinary state).
Definition tbl.C:364
double & set(int i)
Read/write of a particular element (index i) (1D case).
Definition tbl.h:281
double * t
The array of double.
Definition tbl.h:173
Tensor handling *** DEPRECATED : use class Tensor instead ***.
Definition tenseur.h:304
Cmp & set()
Read/write for a scalar (see also operator=(const Cmp&) ).
Definition tenseur.C:830
void set_etat_qcq()
Sets the logical state to ETATQCQ (ordinary state).
Definition tenseur.C:642
void set_std_base()
Set the standard spectal basis of decomposition for each component.
Definition tenseur.C:1176
const Tenseur & gradient_spher() const
Returns the gradient of *this (Spherical coordinates) (scalar field only).
Definition tenseur.C:1554
void change_triad(const Base_vect &new_triad)
Sets a new vectorial basis (triad) of decomposition and modifies the components accordingly.
Definition tenseur.C:674
void poisson_vect(double lambda, Param &par, Tenseur &shift, Tenseur &vect, Tenseur &scal) const
Solves the vectorial Poisson equation : .
int get_etat() const
Returns the logical state.
Definition tenseur.h:710
Values and coefficients of a (real-value) function.
Definition valeur.h:297
const Valeur & mult_ct() const
Returns applied to *this.
double val_point_jk(int l, double x, int j, int k) const
Computes the value of the field represented by *this at an arbitrary point in , but collocation point...
Definition valeur.C:903
const Valeur & ssint() const
Returns of *this.
Cmp pow(const Cmp &, int)
Power .
Definition cmp_math.C:351
Cmp cos(const Cmp &)
Cosine.
Definition cmp_math.C:97
Cmp log(const Cmp &)
Neperian logarithm.
Definition cmp_math.C:299
Tenseur flat_scalar_prod_desal(const Tenseur &t1, const Tenseur &t2)
Same as flat_scalar_prod but with desaliasing.
Lorene prototypes.
Definition app_hor.h:67
virtual void adapt(const Cmp &ent, const Param &par, int nbr=0)=0
Adaptation of the mapping to a given scalar field.