et_bin_bhns_extr_excurv.C

/*
 *  Method of class Et_bin_bhns_extr to compute the extrinsic curvature tensor
 *  in the Kerr-Schild background metric or in the conformally flat one
 *  with extreme mass ratio
 *
 *    (see file et_bin_bhns_extr.h for documentation).
 *
 */
 
/*
 *   Copyright (c) 2004-2005 Keisuke Taniguchi
 *
 *   This file is part of LORENE.
 *
 *   LORENE is free software; you can redistribute it and/or modify
 *   it under the terms of the GNU General Public License version 2
 *   as published by the Free Software Foundation.
 *
 *   LORENE is distributed in the hope that it will be useful,
 *   but WITHOUT ANY WARRANTY; without even the implied warranty of
 *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *   GNU General Public License for more details.
 *
 *   You should have received a copy of the GNU General Public License
 *   along with LORENE; if not, write to the Free Software
 *   Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 *
 */
 
 
 
/*
 * $Id: et_bin_bhns_extr_excurv.C,v 1.5 2016/12/05 16:17:52 j_novak Exp $
 * $Log: et_bin_bhns_extr_excurv.C,v $
 * Revision 1.5  2016/12/05 16:17:52  j_novak
 * Suppression of some global variables (file names, loch, ...) to prevent redefinitions
 *
 * Revision 1.4  2014/10/13 08:52:55  j_novak
 * Lorene classes and functions now belong to the namespace Lorene.
 *
 * Revision 1.3  2014/10/06 15:13:07  j_novak
 * Modified #include directives to use c++ syntax.
 *
 * Revision 1.2  2005/02/28 23:13:25  k_taniguchi
 * Modification to include the case of the conformally flat background metric
 *
 * Revision 1.1  2004/11/30 20:49:13  k_taniguchi
 * *** empty log message ***
 *
 *
 * $Header: /cvsroot/Lorene/C++/Source/Etoile/et_bin_bhns_extr_excurv.C,v 1.5 2016/12/05 16:17:52 j_novak Exp $
 *
 */
 
// C headers
#include <cmath>
 
// Lorene headers
#include "et_bin_bhns_extr.h"
#include "etoile.h"
#include "coord.h"
#include "unites.h"
 
namespace Lorene {
void Et_bin_bhns_extr::extrinsic_curv_extr(const double& mass,
                       const double& sepa) {
 
  using namespace Unites ;
 
    if (kerrschild) {

 
        // Components of shift_auto with respect to the Cartesian triad
        //  (d/dx, d/dy, d/dz) of the mapping :
 
        Tenseur shift_auto_local = shift_auto ;
    shift_auto_local.change_triad( mp.get_bvect_cart() ) ;
 
    // Gradient (partial derivatives with respect to the Cartesian
    //           coordinates of the mapping)
    // dn(i, j) = D_i N^j
 
    Tenseur dn = shift_auto_local.gradient() ;
 
    // Return to the absolute reference frame
    dn.change_triad(ref_triad) ;
 
    // Trace of D_i N^j = divergence of N^j :
    Tenseur divn = contract(dn, 0, 1) ;
 
    // Computation of quantities coming from the companion (K-S BH)
    // ------------------------------------------------------------
 
    const Coord& xx = mp.x ;
    const Coord& yy = mp.y ;
    const Coord& zz = mp.z ;
 
    Tenseur r_bh(mp) ;
    r_bh.set_etat_qcq() ;
    r_bh.set() = pow( (xx+sepa)*(xx+sepa) + yy*yy + zz*zz, 0.5) ;
    r_bh.set_std_base() ;
 
    Tenseur xx_con(mp, 1, CON, ref_triad) ;
    xx_con.set_etat_qcq() ;
    xx_con.set(0) = xx + sepa ;
    xx_con.set(1) = yy ;
    xx_con.set(2) = zz ;
    xx_con.set_std_base() ;
 
    Tenseur xsr_con(mp, 1, CON, ref_triad) ;
    xsr_con = xx_con / r_bh ;
    xsr_con.set_std_base() ;
 
    Tenseur msr(mp) ;
    msr = ggrav * mass / r_bh ;
    msr.set_std_base() ;
 
    Tenseur lapse_bh2(mp) ;  // lapse_bh * lapse_bh
    lapse_bh2 = 1. / (1.+2.*msr) ;
    lapse_bh2.set_std_base() ;
 
    // Computation of some auxiliary functions
    // ---------------------------------------
 
    shift_auto_local.change_triad( ref_triad ) ;
 
    Tenseur tmp1(mp, 2, CON, ref_triad) ;
    Tenseur tmp2(mp, 2, CON, ref_triad) ;
    Tenseur tmp3(mp, 2, CON, ref_triad) ;
    tmp1.set_etat_qcq() ;
    tmp2.set_etat_qcq() ;
    tmp3.set_etat_qcq() ;
 
    for (int i=0; i<3; i++) {
        for (int j=0; j<3; j++) {
            tmp1.set(i, j) = -2.*lapse_bh2()%msr()%xsr_con(i)%xsr_con(j) ;
 
        tmp2.set(i, j) = -3.*lapse_bh2()%xsr_con(i)%xsr_con(j)
          -4.*lapse_bh2()*msr()%xsr_con(i)%xsr_con(j) ;
 
        tmp3.set(i, j) = xsr_con(i)%shift_auto_local(j) ;
        }
    }
 
    tmp1.set_std_base() ;
    tmp2.set_std_base() ;
    tmp3.set_std_base() ;
 
    Tenseur tmp4(mp) ;
    tmp4.set_etat_qcq() ;
    tmp4.set() = 0 ;
    tmp4.set_std_base() ;
 
    for (int i=0; i<3; i++)
        tmp4.set() += xsr_con(i) % shift_auto_local(i) ;
 
    tmp4.set_std_base() ;
 
    // Computation of contraction
    // --------------------------
 
    Tenseur tmp1dn = contract(tmp1, 1, dn, 0) ;
 
    // Computation of A^2 A^{ij}
    // -------------------------
    tkij_auto.set_etat_qcq() ;
 
    for (int i=0; i<3; i++) {
        for (int j=i; j<3; j++) {
            tkij_auto.set(i, j) = dn(i, j) + dn(j, i)
          + tmp1dn(i, j) + tmp1dn(j, i)
          + 2.*lapse_bh2()%msr()/r_bh()%( tmp3(i, j) + tmp3(j, i)
                          + tmp4() % tmp2(i, j) )
          - double(2)/double(3) * tmp1(i, j)
          * (divn() - lapse_bh2() % msr() / r_bh() % tmp4()) ;
        }
        tkij_auto.set(i, i) -= double(2) /double(3)
          * (divn() - lapse_bh2() % msr() / r_bh() % tmp4()) ;
    }
 
    tkij_auto = - 0.5 * tkij_auto / nnn ;
 
    tkij_auto.set_std_base() ;
 
    // Computation of A^2 A_{ij} A^{ij}
    // --------------------------------
 
    Tenseur xx_cov(mp, 1, COV, ref_triad) ;
    xx_cov.set_etat_qcq() ;
    xx_cov.set(0) = xx + sepa ;
    xx_cov.set(1) = yy ;
    xx_cov.set(2) = zz ;
    xx_cov.set_std_base() ;
 
    Tenseur xsr_cov(mp, 1, COV, ref_triad) ;
    xsr_cov = xx_cov / r_bh ;
    xsr_cov.set_std_base() ;
 
    Tenseur tmp5(mp, 2, COV, ref_triad) ;
    Tenseur tmp6(mp, 2, CON, ref_triad) ;
    tmp5.set_etat_qcq() ;
    tmp6.set_etat_qcq() ;
 
    for (int i=0; i<3; i++) {
        for (int j=0; j<3; j++) {
            tmp6.set(i, j) = 0 ;
        }
    }
    tmp6.set_std_base() ;
 
    for (int i=0; i<3; i++) {
        for (int j=0; j<3; j++) {
            tmp5.set(i, j) = 2.*msr()%xsr_cov(i)%xsr_cov(j) ;
        }
    }
 
    for (int i=0; i<3; i++) {
        for (int j=0; j<3; j++) {
            for (int k=0; k<3; k++) {
            tmp6.set(i, j) += tkij_auto(i,k) % tkij_auto(j,k) ;
        }
        }
    }
 
    tmp5.set_std_base() ;
    tmp6.set_std_base() ;
 
    Tenseur tmp7(mp) ;
    tmp7.set_etat_qcq() ;
    tmp7.set() = 0 ;
    tmp7.set_std_base() ;
 
    for (int i=0; i<3; i++) {
        for (int j=0; j<3; j++) {
            tmp7.set() += tmp5(i,j) % tmp6(i,j) ;
        }
    }
    tmp7.set_std_base() ;
 
    Tenseur tmp8(mp) ;
    tmp8.set_etat_qcq() ;
    tmp8.set() = 0 ;
    tmp8.set_std_base() ;
 
    for (int i=0; i<3; i++) {
        for (int j=0; j<3; j++) {
            tmp8.set() += tmp5(i,j) % tkij_auto(i,j) ;
        }
    }
    tmp8.set_std_base() ;
 
    akcar_auto.set_etat_qcq() ;
    akcar_auto.set() = 2.*tmp7() + tmp8() % tmp8() ;
    akcar_auto.set_std_base() ;
 
    for (int i=0; i<3; i++) {
        for (int j=0; j<3; j++) {
            akcar_auto.set() += tkij_auto(i, j) % tkij_auto(i, j) ;
        }
    }
 
    akcar_auto.set_std_base() ;
 
    akcar_auto = a_car % akcar_auto ;
 
    }
    else {

 
        // Components of shift_auto with respect to the Cartesian triad
        //  (d/dx, d/dy, d/dz) of the mapping :
 
        Tenseur shift_auto_local = shift_auto ;
    shift_auto_local.change_triad( mp.get_bvect_cart() ) ;
 
    // Gradient (partial derivatives with respect to the Cartesian
    //           coordinates of the mapping)
    // dn(i, j) = D_i N^j
 
    Tenseur dn = shift_auto_local.gradient() ;
 
    // Return to the absolute reference frame
    dn.change_triad(ref_triad) ;
 
    // Trace of D_i N^j = divergence of N^j :
    Tenseur divn = contract(dn, 0, 1) ;
 
    // Computation of A^2 A^{ij}
    // -------------------------
    tkij_auto.set_etat_qcq() ;
 
    for (int i=0; i<3; i++) {
        for (int j=i; j<3; j++) {
            tkij_auto.set(i, j) = dn(i, j) + dn(j, i) ;
        }
        tkij_auto.set(i, i) -= double(2) /double(3) * divn() ;
    }
 
    tkij_auto = - 0.5 * tkij_auto / nnn ;
 
    tkij_auto.set_std_base() ;
 
    // Computation of A^2 A_{ij} A^{ij}
    // --------------------------------
 
    akcar_auto.set_etat_qcq() ;
    akcar_auto.set() = 0. ;
    akcar_auto.set_std_base() ;
 
    for (int i=0; i<3; i++) {
        for (int j=0; j<3; j++) {
            akcar_auto.set() += tkij_auto(i, j) % tkij_auto(i, j) ;
        }
    }
 
    akcar_auto.set_std_base() ;
 
    akcar_auto = a_car % akcar_auto ;
 
    }
 
}
}