star_bhns_extr_curv.C

/*
 *  Method of class Star_bhns to compute the extrinsic curvature tensor
 *
 *    (see file star_bhns.h for documentation).
 *
 */
 
/*
 *   Copyright (c) 2005-2007 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
 *
 */
 
char star_bhns_extr_curv_C[] = "$Header: /cvsroot/Lorene/C++/Source/Star_bhns/star_bhns_extr_curv.C,v 1.4 2014/10/13 08:53:40 j_novak Exp $" ;
 
/*
 * $Id: star_bhns_extr_curv.C,v 1.4 2014/10/13 08:53:40 j_novak Exp $
 * $Log: star_bhns_extr_curv.C,v $
 * Revision 1.4  2014/10/13 08:53:40  j_novak
 * Lorene classes and functions now belong to the namespace Lorene.
 *
 * Revision 1.3  2014/10/06 15:13:16  j_novak
 * Modified #include directives to use c++ syntax.
 *
 * Revision 1.2  2008/05/15 19:14:24  k_taniguchi
 * Change of some parameters.
 *
 * Revision 1.1  2007/06/22 01:31:05  k_taniguchi
 * *** empty log message ***
 *
 *
 * $Header: /cvsroot/Lorene/C++/Source/Star_bhns/star_bhns_extr_curv.C,v 1.4 2014/10/13 08:53:40 j_novak Exp $
 *
 */
 
// C++ headers
//#include <>
 
// C headers
#include <cmath>
 
// Lorene headers
#include "star_bhns.h"
 
namespace Lorene {
void Star_bhns::extr_curv_bhns() {
 
    // Computation of \tilde{A}_{NS}^{ij}
    // ----------------------------------
 
    Scalar divshift(mp) ;
    divshift = d_shift_auto(1,1) + d_shift_auto(2,2)
      + d_shift_auto(3,3) ;
    divshift.std_spectral_base() ;
 
    Sym_tensor flat_taij(mp, CON, mp.get_bvect_cart()) ;
    flat_taij.set_etat_qcq() ;
 
    for (int i=1; i<=3; i++) {
        for (int j=1; j<=3; j++) {
        flat_taij.set(i,j) = d_shift_auto(i,j)
          + d_shift_auto(j,i)
          - 2. * divshift * flat.con()(i,j) / 3. ;
    }
    }
    flat_taij.std_spectral_base() ;
 
    taij_auto = 0.5 * pow(confo_auto+0.5, 7.) * flat_taij
      / (lapconf_auto+0.5) ;
    taij_auto.std_spectral_base() ;
 
 
    // Computation of \tilde{A}_{NS}^{ij} \tilde{A}^{NS}_{ij}
    // ------------------------------------------------------
 
    Sym_tensor flat_dshift(mp, COV, mp.get_bvect_cart()) ;
    flat_dshift.set_etat_qcq() ;
 
    for (int i=1; i<=3; i++) {
        for (int j=1; j<=3; j++) {
        flat_dshift.set(i,j) =
          flat.cov()(j,1) % d_shift_auto(i,1)
          + flat.cov()(j,2) % d_shift_auto(i,2)
          + flat.cov()(j,3) % d_shift_auto(i,3)
          + flat.cov()(i,1) % d_shift_auto(j,1)
          + flat.cov()(i,2) % d_shift_auto(j,2)
          + flat.cov()(i,3) % d_shift_auto(j,3)
          - 2. * divshift % flat.cov()(i,j) / 3. ;
    }
    }
    flat_dshift.std_spectral_base() ;
 
    Sym_tensor taij_down(mp, COV, mp.get_bvect_cart()) ;
    taij_down.set_etat_qcq() ;
 
    taij_down = 0.5 * pow(confo_auto+0.5, 7.) * flat_dshift
      / (lapconf_auto+0.5) ;
    taij_down.std_spectral_base() ;
 
    taij_quad_auto = 0. ;
 
    for (int i=1; i<=3; i++) {
        for (int j=1; j<=3; j++) {
        taij_quad_auto += taij_down(i,j) % taij_auto(i,j) ;
    }
    }
 
    taij_quad_auto.std_spectral_base() ;
 
}
}