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tamaas/src/surface/surface_generator_filter_fft.cpp
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surface_generator_filter_fft.cpp
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/**
* @file
*
* @author Guillaume Anciaux <guillaume.anciaux@epfl.ch>
*
* @section LICENSE
*
* Copyright (©) 2016 EPFL (Ecole Polytechnique Fédérale de
* Lausanne) Laboratory (LSMS - Laboratoire de Simulation en Mécanique des
* Solides)
*
* Tamaas is free software: you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License as published by the Free
* Software Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* Tamaas 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 Lesser General Public License for more
* details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Tamaas. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
/* -------------------------------------------------------------------------- */
#include "surface_generator_filter_fft.hh"
#include "isopowerlaw.hh"
#include "surface_statistics.hh"
/* -------------------------------------------------------------------------- */
__BEGIN_TAMAAS__
extern template class Grid<Real, 2>;
SurfaceGeneratorFilterFFT::SurfaceGeneratorFilterFFT() {
generator.setFilter(&pl_filter);
}
SurfaceGeneratorFilterFFT::~SurfaceGeneratorFilterFFT() {}
Real SurfaceGeneratorFilterFFT::constrainRMS() {
std::cerr << "Waring /!\\ :: Statistical bias in using the generated RMS as "
"normalizing factor"
<< std::endl;
Real hrms_grid = SurfaceStatistics::computeStdev(generator.grid);
generator.grid *= rms / hrms_grid;
return rms;
}
Grid<Real, 2>& SurfaceGeneratorFilterFFT::buildSurface() {
generator.setSizes({{grid_size, grid_size}});
return generator.buildSurface();
}
__END_TAMAAS__
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