mirror of
https://github.com/cosmo-sims/MUSIC.git
synced 2024-09-19 17:03:46 +02:00
799 lines
24 KiB
C++
799 lines
24 KiB
C++
/*
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main.cc - This file is part of MUSIC -
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a code to generate multi-scale initial conditions
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for cosmological simulations
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Copyright (C) 2010 Oliver Hahn
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <stdio.h>
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#include <iostream>
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#include <iomanip>
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#include <math.h>
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#include <gsl/gsl_rng.h>
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#include <gsl/gsl_randist.h>
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#include <gsl/gsl_integration.h>
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#include "general.hh"
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#include "defaults.hh"
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#include "output.hh"
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#include "config_file.hh"
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#include "poisson.hh"
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#include "mg_solver.hh"
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#include "fd_schemes.hh"
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#include "random.hh"
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#include "densities.hh"
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#include "convolution_kernel.hh"
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#include "cosmology.hh"
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#include "transfer_function.hh"
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#define THE_CODE_NAME "music!"
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#define THE_CODE_VERSION "0.7.3a"
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namespace music
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{
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struct framework
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{
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transfer_function *the_transfer_function;
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//poisson_solver *the_poisson_solver;
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config_file *the_config_file;
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refinement_hierarchy *the_refinement_hierarchy;
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};
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}
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transfer_function *TransferFunction_real::ptf_ = NULL;
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//transfer_function *TransferFunction_real::ptf = NULL;
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transfer_function *TransferFunction_k::ptf_ = NULL;
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tf_type TransferFunction_k::type_;
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tf_type TransferFunction_real::type_;
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real_t TransferFunction_real::nspec_ = -1.0;
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//real_t TransferFunction_real::nspec = -1.0;
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real_t TransferFunction_k::nspec_ = -1.0;
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void splash(void)
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{
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std::cout
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<< "\n __ __ __ __ ______ __ ______ \n"
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<< " /\\ \"-./ \\ /\\ \\/\\ \\ /\\ ___\\ /\\ \\ /\\ ___\\ \n"
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<< " \\ \\ \\-./\\ \\ \\ \\ \\_\\ \\ \\ \\___ \\ \\ \\ \\ \\ \\ \\____ \n"
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<< " \\ \\_\\ \\ \\_\\ \\ \\_____\\ \\/\\_____\\ \\ \\_\\ \\ \\_____\\ \n"
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<< " \\/_/ \\/_/ \\/_____/ \\/_____/ \\/_/ \\/_____/ \n\n"
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<< " this is " << THE_CODE_NAME << " version " << THE_CODE_VERSION << "\n\n\n";
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}
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void modify_grid_for_TF( const refinement_hierarchy& rh_full, refinement_hierarchy& rh_TF, config_file& cf )
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{
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unsigned lbase, lbaseTF, lmax, overlap;
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lbase = cf.getValue<unsigned>( "setup", "levelmin" );
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lmax = cf.getValue<unsigned>( "setup", "levelmax" );
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lbaseTF = cf.getValueSafe<unsigned>( "setup", "levelmin_TF", lbase );
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overlap = cf.getValueSafe<unsigned>( "setup", "overlap", 4 );
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rh_TF = rh_full;
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unsigned pad = overlap;
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for( unsigned i=lbase+1; i<=lmax; ++i )
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{
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int x0[3], lx[3], lxmax = 0;
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for( int j=0; j<3; ++j )
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{
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lx[j] = rh_TF.size(i,j)+2*pad;
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x0[j] = rh_TF.offset_abs(i,j)-pad;
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if( lx[j] > lxmax )
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lxmax = lx[j];
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}
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//... make sure that grids are divisible by 4 for convolution.
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lxmax += lxmax%4;
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for( int j=0; j<3; ++j )
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{
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double dl = 0.5*((double)(lxmax-lx[j]));
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int add_left = (int)ceil(dl);
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lx[j] = lxmax;
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x0[j] -= add_left;
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x0[j] += x0[j]%2;
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}
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rh_TF.adjust_level(i, lx[0], lx[1], lx[2], x0[0], x0[1], x0[2] );
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}
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if( lbaseTF > lbase )
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{
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std::cout << " - Will use levelmin = " << lbaseTF << " to compute density field...\n";
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for( unsigned i=lbase; i<=lbaseTF; ++i )
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{
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unsigned nfull = (unsigned)pow(2,i);
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rh_TF.adjust_level(i, nfull, nfull, nfull, 0, 0, 0);
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}
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}
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}
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void coarsen_density( const refinement_hierarchy& rh, grid_hierarchy& u )
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{
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for( int i=rh.levelmax(); i>0; --i )
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mg_straight().restrict( *(u.get_grid(i)), *(u.get_grid(i-1)) );
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for( unsigned i=1; i<=rh.levelmax(); ++i )
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{
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if( rh.offset(i,0) != u.get_grid(i)->offset(0)
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|| rh.offset(i,1) != u.get_grid(i)->offset(1)
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|| rh.offset(i,2) != u.get_grid(i)->offset(2)
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|| rh.size(i,0) != u.get_grid(i)->size(0)
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|| rh.size(i,1) != u.get_grid(i)->size(1)
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|| rh.size(i,2) != u.get_grid(i)->size(2) )
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{
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u.cut_patch(i, rh.offset_abs(i,0), rh.offset_abs(i,1), rh.offset_abs(i,2),
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rh.size(i,0), rh.size(i,1), rh.size(i,2) );
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}
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}
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}
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void store_grid_structure( config_file& cf, const refinement_hierarchy& rh )
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{
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char str1[128], str2[128];
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for( unsigned i=rh.levelmin(); i<=rh.levelmax(); ++i )
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{
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for( int j=0; j<3; ++j )
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{
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sprintf(str1,"offset(%d,%d)",i,j);
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sprintf(str2,"%d",rh.offset(i,j));
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cf.insertValue("setup",str1,str2);
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sprintf(str1,"size(%d,%d)",i,j);
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sprintf(str2,"%ld",rh.size(i,j));
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cf.insertValue("setup",str1,str2);
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}
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}
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}
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void subtract_finest_mean( grid_hierarchy& u )
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{
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std::cout << " - Subtracting component mean...\n";
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double sum = 0.0;
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for( int ix = 0; ix < (int)(*u.get_grid(u.levelmax())).size(0); ++ix )
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for( int iy = 0; iy < (int)(*u.get_grid(u.levelmax())).size(1); ++iy )
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for( int iz = 0; iz < (int)(*u.get_grid(u.levelmax())).size(2); ++iz )
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sum += 0.5*(*u.get_grid(u.levelmax()))(ix,iy,iz);
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sum /= (*u.get_grid(u.levelmax())).size(0)
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* (*u.get_grid(u.levelmax())).size(1)
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* (*u.get_grid(u.levelmax())).size(2);
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std::cout << " component mean is " << sum << std::endl;
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for( unsigned ilevel=u.levelmin(); ilevel<=u.levelmax(); ++ilevel )
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#pragma omp parallel for
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for( int ix = 0; ix < (int)(*u.get_grid(ilevel)).size(0); ++ix )
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for( int iy = 0; iy < (int)(*u.get_grid(ilevel)).size(1); ++iy )
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for( int iz = 0; iz < (int)(*u.get_grid(ilevel)).size(2); ++iz )
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(*u.get_grid(ilevel))(ix,iy,iz) -= sum;
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}
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/*****************************************************************************************************/
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/*****************************************************************************************************/
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/*****************************************************************************************************/
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int main (int argc, const char * argv[])
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{
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const unsigned nbnd = 4;
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unsigned lbase, lmax, lbaseTF;
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double err;
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cosmology cosmo;
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double boxlength, zstart;
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std::vector<long> rngseeds;
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std::vector<std::string> rngfnames;
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double x0[3], lx[3];
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unsigned npad = 8;
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splash();
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if( argc != 2 ){
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std::cout << " This version is compiled with the following plug-ins:\n";
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print_transfer_function_plugins();
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print_output_plugins();
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std::cerr << "\n In order to run, you need to specify a parameter file!\n\n";
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exit(0);
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}
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//... open log file
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char logfname[128];
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sprintf(logfname,"%s_log.txt",argv[1]);
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MUSIC::log::setOutput(logfname);
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time_t ltime=time(NULL);
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LOGINFO("Opening log file \'%s\'.",logfname);
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LOGUSER("Running %s, version %s",THE_CODE_NAME,THE_CODE_VERSION);
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LOGUSER("Running with a maximum of %d OpenMP threads", omp_get_max_threads() );
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LOGUSER("Log is for run started %s",asctime( localtime(<ime) ));
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#ifdef SINGLETHREAD_FFTW
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LOGUSER("Code was compiled for single-threaded FFTW");
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#else
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LOGUSER("Code was compiled for multi-threaded FFTW");
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#endif
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#ifdef SINGLE_PRECISION
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LOGUSER("Code was compiled for single precision.");
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#else
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LOGUSER("Code was compiled for double precision.");
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#endif
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/******************************************************************************************************/
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/* read and interpret config file *********************************************************************/
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/******************************************************************************************************/
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config_file cf(argv[1]);
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std::string tfname,randfname,temp, outformat, outfname, poisson_solver_name;;
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bool shift_back(false), align_top(false), kspace(false), force_shift(false);
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float tf0,tf1,tf2;
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boxlength = cf.getValue<double>( "setup", "boxlength" );
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lbase = cf.getValue<unsigned>( "setup", "levelmin" );
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lmax = cf.getValue<unsigned>( "setup", "levelmax" );
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lbaseTF = cf.getValueSafe<unsigned>( "setup", "levelmin_TF", lbase );
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force_shift = cf.getValueSafe<bool>("setup", "force_shift", force_shift );
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if( lbase == lmax && !force_shift )
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cf.insertValue("setup","no_shift","yes");
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if( lbaseTF < lbase )
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{
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std::cout << " - WARNING: levelminTF < levelmin. This is not good!\n"
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<< " I will set levelminTF = levelmin.\n";
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LOGUSER("levelminTF < levelmin. set levelminTF = levelmin.");
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lbaseTF = lbase;
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cf.insertValue("setup","levelmin_TF",cf.getValue<std::string>("setup","levelmin"));
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}
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temp = cf.getValue<std::string>( "setup", "ref_offset" );
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sscanf( temp.c_str(), "%g,%g,%g", &tf0, &tf1, &tf2 ); x0[0] = tf0; x0[1] = tf1; x0[2] = tf2;
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temp = cf.getValue<std::string>( "setup", "ref_extent" );
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sscanf( temp.c_str(), "%g,%g,%g", &tf0, &tf1, &tf2 ); lx[0] = tf0; lx[1] = tf1; lx[2] = tf2;
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npad = cf.getValue<unsigned>( "setup", "padding" );
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align_top = cf.getValueSafe<bool>( "setup", "align_top", false );
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kspace = cf.getValueSafe<bool>( "poisson", "kspace", false );
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if( kspace )
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poisson_solver_name = std::string("fft_poisson");
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else
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poisson_solver_name = std::string("mg_poisson");
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// TODO: move cosmology parameters reading to cosmo_calc
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zstart = cf.getValue<double>( "setup", "zstart" );
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cosmo.astart = 1.0/(1.0+zstart);
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cosmo.Omega_b = cf.getValue<double>( "cosmology", "Omega_b" );
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cosmo.Omega_m = cf.getValue<double>( "cosmology", "Omega_m" );
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cosmo.Omega_L = cf.getValue<double>( "cosmology", "Omega_L" );
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cosmo.H0 = cf.getValue<double>( "cosmology", "H0" );
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cosmo.sigma8 = cf.getValue<double>( "cosmology", "sigma_8" );
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cosmo.nspect = cf.getValue<double>( "cosmology", "nspec" );
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cosmo.WDMg_x = cf.getValueSafe<double>( "cosmology", "WDMg_x", 1.5 );
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cosmo.WDMmass = cf.getValueSafe<double>( "cosmology", "WDMmass", 0.0 );
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cosmo.dplus = 0.0;
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cosmo.pnorm = 0.0;
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cosmo.vfact = 0.0;
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//cosmo.Gamma = cf.getValueSafe<double>( "cosmology", "Gamma", -1.0 );
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/******************************************************************************************************/
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/******************************************************************************************************/
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shift_back = cf.getValueSafe<bool>( "output", "shift_back", shift_back );
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outformat = cf.getValue<std::string>( "output", "format" );
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outfname = cf.getValue<std::string>( "output", "filename" );
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unsigned grad_order = cf.getValueSafe<unsigned> ( "poisson" , "grad_order", 4 );
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bool bdefd = cf.getValueSafe<bool> ( "poisson" , "fft_fine", true );
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//... if in unigrid mode, use k-space instead
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//if(bdefd&lbase==lmax)
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//kspace=true;
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//... switch off if using kspace anyway
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bdefd &= !kspace;
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/******************************************************************************************************/
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/******************************************************************************************************/
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/******************************************************************************************************/
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#if not defined(SINGLETHREAD_FFTW)
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#ifdef FFTW3
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fftw_init_threads();
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fftw_plan_with_nthreads(omp_get_max_threads());
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#else
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fftw_threads_init();
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#endif
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#endif
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transfer_function_plugin *the_transfer_function_plugin
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= select_transfer_function_plugin( cf );
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CosmoCalc ccalc(cosmo,the_transfer_function_plugin);
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cosmo.pnorm = ccalc.ComputePNorm( 2.0*M_PI/boxlength );
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cosmo.dplus = ccalc.CalcGrowthFactor( cosmo.astart )/ccalc.CalcGrowthFactor( 1.0 );
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cosmo.vfact = ccalc.ComputeVFact( cosmo.astart );
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{
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char tmpstr[128];
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sprintf(tmpstr,"%.12g",cosmo.pnorm);
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cf.insertValue("cosmology","pnorm",tmpstr);
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sprintf(tmpstr,"%.12g",cosmo.dplus);
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cf.insertValue("cosmology","dplus",tmpstr);
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sprintf(tmpstr,"%.12g",cosmo.vfact);
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cf.insertValue("cosmology","vfact",tmpstr);
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}
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/******************************************************************************************************/
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/******************************************************************************************************/
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bool
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do_baryons = cf.getValue<bool>("setup","baryons"),
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do_2LPT = cf.getValue<bool>("setup","use_2LPT"),
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do_LLA = cf.getValue<bool>("setup","use_LLA"),
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do_CVM = cf.getValueSafe<bool>("setup","center_velocities",false);
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//... determine the refinement hierarchy
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refinement_hierarchy rh_Poisson( cf );
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store_grid_structure(cf, rh_Poisson);
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rh_Poisson.output();
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refinement_hierarchy rh_TF( rh_Poisson );
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modify_grid_for_TF( rh_Poisson, rh_TF, cf );
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//rh_TF.output();
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LOGUSER("Grid structure for Poisson solver:");
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rh_Poisson.output_log();
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LOGUSER("Grid structure for density convolution:");
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rh_TF.output_log();
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if( !the_transfer_function_plugin->tf_is_distinct() && do_baryons )
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std::cout << " - WARNING: The selected transfer function does not support\n"
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<< " distinct amplitudes for baryon and DM fields!\n"
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<< " Perturbation amplitudes will be identical!" << std::endl;
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//... initialize the output plug-in
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output_plugin *the_output_plugin = select_output_plugin( cf );
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//... initialize the random numbers
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rand_gen rand( cf, rh_TF );
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//... initialize the Poisson solver
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poisson_plugin_creator *the_poisson_plugin_creator = get_poisson_plugin_map()[ poisson_solver_name ];
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poisson_plugin *the_poisson_solver = the_poisson_plugin_creator->create( cf );
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//... THIS IS THE MAIN DRIVER BRANCHING TREE RUNNING THE VARIOUS PARTS OF THE CODE
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bool bfatal = false;
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try{
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if( ! do_2LPT )
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{
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LOGUSER("Entering 1LPT branch");
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//... cdm density and displacements
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std::cout << "=============================================================\n";
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std::cout << " COMPUTING DARK MATTER DISPLACEMENTS\n";
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std::cout << "-------------------------------------------------------------\n";
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LOGUSER("Computing dark matter displacements...");
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grid_hierarchy f( nbnd ), u(nbnd);
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GenerateDensityHierarchy( cf, the_transfer_function_plugin, cdm , rh_TF, rand, f, true, false );
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coarsen_density(rh_Poisson, f);
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normalize_density(f);
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u = f; u.zero();
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the_output_plugin->write_dm_mass(f);
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the_output_plugin->write_dm_density(f);
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err = the_poisson_solver->solve(f, u);
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if(!bdefd)
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f.deallocate();
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the_output_plugin->write_dm_potential(u);
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//... DM displacements
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{
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grid_hierarchy data_forIO(u);
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for( int icoord = 0; icoord < 3; ++icoord )
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{
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if( bdefd )
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{
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data_forIO.zero();
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*data_forIO.get_grid(data_forIO.levelmax()) = *f.get_grid(f.levelmax());
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poisson_hybrid(*data_forIO.get_grid(data_forIO.levelmax()), icoord, grad_order, data_forIO.levelmin()==data_forIO.levelmax());
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*data_forIO.get_grid(data_forIO.levelmax()) /= 1<<f.levelmax();
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the_poisson_solver->gradient_add(icoord, u, data_forIO );
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}
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else
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//... displacement
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the_poisson_solver->gradient(icoord, u, data_forIO );
|
|
|
|
the_output_plugin->write_dm_position(icoord, data_forIO );
|
|
}
|
|
}
|
|
|
|
//... gas density
|
|
if( do_baryons )
|
|
{
|
|
std::cout << "=============================================================\n";
|
|
std::cout << " COMPUTING BARYON DENSITY\n";
|
|
std::cout << "-------------------------------------------------------------\n";
|
|
LOGUSER("Computing baryon density...");
|
|
|
|
GenerateDensityHierarchy( cf, the_transfer_function_plugin, baryon , rh_TF, rand, f, false, true );
|
|
coarsen_density(rh_Poisson, f);
|
|
normalize_density(f);
|
|
|
|
if( do_LLA )
|
|
{
|
|
u = f; u.zero();
|
|
err = the_poisson_solver->solve(f, u);
|
|
compute_LLA_density( u, f,grad_order );
|
|
normalize_density(f);
|
|
}
|
|
|
|
the_output_plugin->write_gas_density(f);
|
|
}
|
|
|
|
std::cout << "=============================================================\n";
|
|
std::cout << " COMPUTING VELOCITIES\n";
|
|
std::cout << "-------------------------------------------------------------\n";
|
|
LOGUSER("Computing velocitites...");
|
|
|
|
//... velocities
|
|
if( do_baryons )
|
|
{
|
|
GenerateDensityHierarchy( cf, the_transfer_function_plugin, total , rh_TF, rand, f, true, false );
|
|
coarsen_density(rh_Poisson, f);
|
|
normalize_density(f);
|
|
|
|
u = f; u.zero();
|
|
|
|
err = the_poisson_solver->solve(f, u);
|
|
|
|
if(!bdefd)
|
|
f.deallocate();
|
|
}
|
|
grid_hierarchy data_forIO(u);
|
|
for( int icoord = 0; icoord < 3; ++icoord )
|
|
{
|
|
//... displacement
|
|
if(bdefd)
|
|
{
|
|
data_forIO.zero();
|
|
*data_forIO.get_grid(data_forIO.levelmax()) = *f.get_grid(f.levelmax());
|
|
poisson_hybrid(*data_forIO.get_grid(data_forIO.levelmax()), icoord, grad_order, data_forIO.levelmin()==data_forIO.levelmax());
|
|
*data_forIO.get_grid(data_forIO.levelmax()) /= 1<<f.levelmax();
|
|
the_poisson_solver->gradient_add(icoord, u, data_forIO );
|
|
}
|
|
else
|
|
the_poisson_solver->gradient(icoord, u, data_forIO );
|
|
|
|
//... multiply to get velocity
|
|
data_forIO *= cosmo.vfact;
|
|
|
|
if(do_CVM)
|
|
subtract_finest_mean(data_forIO);
|
|
|
|
the_output_plugin->write_dm_velocity(icoord, data_forIO);
|
|
if( do_baryons )
|
|
the_output_plugin->write_gas_velocity(icoord, data_forIO);
|
|
}
|
|
|
|
}else {
|
|
//.. use 2LPT ...
|
|
LOGUSER("Entering 2LPT branch");
|
|
|
|
grid_hierarchy f( nbnd ), u1(nbnd), u2LPT(nbnd), f2LPT( nbnd );
|
|
|
|
std::cout << "=============================================================\n";
|
|
std::cout << " COMPUTING VELOCITIES\n";
|
|
std::cout << "-------------------------------------------------------------\n";
|
|
LOGUSER("Computing velocities...");
|
|
|
|
GenerateDensityHierarchy( cf, the_transfer_function_plugin, total , rh_TF, rand, f, true, false );
|
|
coarsen_density(rh_Poisson, f);
|
|
normalize_density(f);
|
|
|
|
u1 = f; u1.zero();
|
|
|
|
if(bdefd)
|
|
f2LPT=f;
|
|
|
|
//... compute 1LPT term
|
|
err = the_poisson_solver->solve(f, u1);
|
|
the_output_plugin->write_dm_potential(u1);
|
|
|
|
//... compute 2LPT term
|
|
u2LPT = f; u2LPT.zero();
|
|
|
|
if( !kspace )
|
|
compute_2LPT_source(u1, f2LPT, grad_order );
|
|
else
|
|
compute_2LPT_source_FFT(cf, u1, f2LPT);
|
|
|
|
|
|
err = the_poisson_solver->solve(f2LPT, u2LPT);
|
|
|
|
//... if doing the hybrid step, we need a combined source term
|
|
if( bdefd )
|
|
{
|
|
f2LPT*=6.0/7.0;
|
|
f+=f2LPT;
|
|
|
|
if( do_baryons )
|
|
f2LPT.deallocate();
|
|
}
|
|
|
|
//... add the 2LPT contribution
|
|
u2LPT *= 6.0/7.0;
|
|
u1 += u2LPT;
|
|
|
|
if( do_baryons )
|
|
u2LPT.deallocate();
|
|
|
|
grid_hierarchy data_forIO(u1);
|
|
for( int icoord = 0; icoord < 3; ++icoord )
|
|
{
|
|
if(bdefd)
|
|
{
|
|
data_forIO.zero();
|
|
*data_forIO.get_grid(data_forIO.levelmax()) = *f.get_grid(f.levelmax());
|
|
poisson_hybrid(*data_forIO.get_grid(data_forIO.levelmax()), icoord, grad_order, data_forIO.levelmin()==data_forIO.levelmax());
|
|
*data_forIO.get_grid(data_forIO.levelmax()) /= 1<<f.levelmax();
|
|
the_poisson_solver->gradient_add(icoord, u1, data_forIO );
|
|
}
|
|
else
|
|
the_poisson_solver->gradient(icoord, u1, data_forIO );
|
|
|
|
data_forIO *= cosmo.vfact;
|
|
|
|
if( do_CVM )
|
|
subtract_finest_mean(data_forIO);
|
|
|
|
the_output_plugin->write_dm_velocity(icoord, data_forIO);
|
|
|
|
if( do_baryons )
|
|
the_output_plugin->write_gas_velocity(icoord, data_forIO);
|
|
}
|
|
data_forIO.deallocate();
|
|
|
|
|
|
std::cout << "=============================================================\n";
|
|
std::cout << " COMPUTING DARK MATTER DISPLACEMENTS\n";
|
|
std::cout << "-------------------------------------------------------------\n";
|
|
LOGUSER("Computing dark matter displacements...");
|
|
|
|
//... if baryons are enabled, the displacements have to be recomputed
|
|
//... otherwise we can compute them directly from the velocities
|
|
if( do_baryons )
|
|
{
|
|
GenerateDensityHierarchy( cf, the_transfer_function_plugin, cdm , rh_TF, rand, f, true, false );
|
|
coarsen_density(rh_Poisson, f);
|
|
normalize_density(f);
|
|
the_output_plugin->write_dm_density(f);
|
|
the_output_plugin->write_dm_mass(f);
|
|
u1 = f; u1.zero();
|
|
|
|
if(bdefd)
|
|
f2LPT=f;
|
|
|
|
//... compute 1LPT term
|
|
err = the_poisson_solver->solve(f, u1);
|
|
|
|
//... compute 2LPT term
|
|
u2LPT = f; u2LPT.zero();
|
|
|
|
if( !kspace )
|
|
compute_2LPT_source(u1, f2LPT, grad_order );
|
|
else
|
|
compute_2LPT_source_FFT(cf, u1, f2LPT);
|
|
|
|
err = the_poisson_solver->solve(f2LPT, u2LPT);
|
|
|
|
if( bdefd )
|
|
{
|
|
f2LPT*=3.0/7.0;
|
|
f+=f2LPT;
|
|
f2LPT.deallocate();
|
|
}
|
|
|
|
u2LPT *= 3.0/7.0;
|
|
u1 += u2LPT;
|
|
u2LPT.deallocate();
|
|
}else{
|
|
//... reuse prior data
|
|
f-=f2LPT;
|
|
the_output_plugin->write_dm_density(f);
|
|
the_output_plugin->write_dm_mass(f);
|
|
f+=f2LPT;
|
|
|
|
u2LPT *= 0.5;
|
|
u1 -= u2LPT;
|
|
u2LPT.deallocate();
|
|
|
|
if(bdefd)
|
|
{
|
|
f2LPT *= 0.5;
|
|
f-=f2LPT;
|
|
f2LPT.deallocate();
|
|
}
|
|
}
|
|
|
|
data_forIO = u1;
|
|
|
|
for( int icoord = 0; icoord < 3; ++icoord )
|
|
{
|
|
//... displacement
|
|
if(bdefd)
|
|
{
|
|
data_forIO.zero();
|
|
*data_forIO.get_grid(data_forIO.levelmax()) = *f.get_grid(f.levelmax());
|
|
poisson_hybrid(*data_forIO.get_grid(data_forIO.levelmax()), icoord, grad_order, data_forIO.levelmin()==data_forIO.levelmax());
|
|
*data_forIO.get_grid(data_forIO.levelmax()) /= 1<<f.levelmax();
|
|
the_poisson_solver->gradient_add(icoord, u1, data_forIO );
|
|
}
|
|
else
|
|
the_poisson_solver->gradient(icoord, u1, data_forIO );
|
|
|
|
the_output_plugin->write_dm_position(icoord, data_forIO );
|
|
}
|
|
|
|
|
|
if( do_baryons )
|
|
{
|
|
std::cout << "=============================================================\n";
|
|
std::cout << " COMPUTING BARYON DENSITY\n";
|
|
std::cout << "-------------------------------------------------------------\n";
|
|
LOGUSER("Computing baryon density...");
|
|
|
|
GenerateDensityHierarchy( cf, the_transfer_function_plugin, baryon , rh_TF, rand, f, false, true );
|
|
coarsen_density(rh_Poisson, f);
|
|
normalize_density(f);
|
|
|
|
if( !do_LLA )
|
|
the_output_plugin->write_gas_density(f);
|
|
else
|
|
{
|
|
u1 = f; u1.zero();
|
|
|
|
//... compute 1LPT term
|
|
err = the_poisson_solver->solve(f, u1);
|
|
|
|
//... compute 2LPT term
|
|
u2LPT = f; u2LPT.zero();
|
|
|
|
if( !kspace )
|
|
compute_2LPT_source(u1, f2LPT, grad_order );
|
|
else
|
|
compute_2LPT_source_FFT(cf, u1, f2LPT);
|
|
|
|
err = the_poisson_solver->solve(f2LPT, u2LPT);
|
|
u2LPT *= 3.0/7.0;
|
|
u1 += u2LPT;
|
|
u2LPT.deallocate();
|
|
|
|
compute_LLA_density( u1, f, grad_order );
|
|
normalize_density(f);
|
|
the_output_plugin->write_gas_density(f);
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
|
|
}catch(std::runtime_error& excp){
|
|
LOGERR("Fatal error occured. Code will exit.");
|
|
std::cerr << " - " << excp.what() << std::endl;
|
|
std::cerr << " - A fatal error occured. We need to exit...\n";
|
|
bfatal = true;
|
|
}
|
|
|
|
std::cout << "=============================================================\n";
|
|
|
|
//... clean up
|
|
the_output_plugin->finalize();
|
|
delete the_output_plugin;
|
|
|
|
|
|
if( !bfatal )
|
|
{
|
|
std::cout << " - Wrote output file \'" << outfname << "\'\n using plugin \'" << outformat << "\'...\n";
|
|
LOGUSER("Wrote output file \'%s\'.",outfname.c_str());
|
|
}
|
|
|
|
delete the_transfer_function_plugin;
|
|
delete the_poisson_solver;
|
|
|
|
/** we are done ! **/
|
|
std::cout << " - Done!" << std::endl << std::endl;
|
|
ltime=time(NULL);
|
|
LOGUSER("Run finished succesfully on %s",asctime( localtime(<ime) ));
|
|
|
|
///*****************************************///
|
|
|
|
/*std::string save_fname(std::string(argv[1])+std::string("_stats"));
|
|
std::ofstream ofs(save_fname.c_str());
|
|
time_t ltime=time(NULL);
|
|
|
|
ofs << "Parameter dump for the run on " << asctime( localtime(<ime) );
|
|
ofs << "You ran " << THE_CODE_NAME << " version " << THE_CODE_VERSION << std::endl << std::endl;
|
|
|
|
cf.dump( ofs );
|
|
*/
|
|
|
|
#ifdef FFTW3
|
|
fftw_cleanup_threads();
|
|
#endif
|
|
|
|
cf.log_dump();
|
|
|
|
|
|
return 0;
|
|
}
|