mirror of
https://github.com/triqs/dft_tools
synced 2024-12-26 14:23:38 +01:00
0a1285405c
- Add Fourier for lattice. - Add regular_bz_mesh, cyclic_lattice, and their FFT. - rm freq_infty. - The gf can now be evaluated on a tail_view, which result in composing the tail. - Fix the following issue : g(om_) << g(om_ +1) will recompose the tail correctly. - TODO : TEST THIS NEW FEATURE IN DETAIL. - Work on singularity for G(x, omega) - Separate the factory for singularity from the data factory in gf. - overload assign_from_functoin (renamed). - Fix singularity_t and co in the gf (const issue). - Clean tail, add tail_const_view - add m_tail for x -> tail on any mesh - test curry + fourier works on k
151 lines
5.8 KiB
C++
151 lines
5.8 KiB
C++
/*******************************************************************************
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*
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* TRIQS: a Toolbox for Research in Interacting Quantum Systems
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*
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* Copyright (C) 2014 by O. Parcollet
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*
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* TRIQS is free software: you can redistribute it and/or modify it under the
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* terms of the GNU General Public License as published by the Free Software
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* Foundation, either version 3 of the License, or (at your option) any later
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* version.
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*
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* TRIQS is distributed in the hope that it will be useful, but WITHOUT ANY
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* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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* FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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* details.
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*
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* You should have received a copy of the GNU General Public License along with
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* TRIQS. If not, see <http://www.gnu.org/licenses/>.
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*
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******************************************************************************/
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#pragma once
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#include <triqs/utility/index_generator.hpp>
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#include <triqs/h5/vector.hpp>
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#include "./brillouin_zone.hpp"
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#include "../gfs/tools.hpp"
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#include "../gfs/meshes/mesh_tools.hpp"
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namespace triqs {
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namespace lattice {
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class regular_bz_mesh {
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brillouin_zone bz; //
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utility::mini_vector<int, 3> dims = {1, 1, 1}; // the size in each dimension
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size_t _size = dims[0] * dims[1] * dims[2]; // total size
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long s1 = dims[0]; // stride
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long s2 = dims[0] * dims[1]; // stride
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utility::mini_vector<double, 3> step = {2 * M_PI / dims[0], 2 * M_PI / dims[1], 2 * M_PI / dims[2]};
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public:
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regular_bz_mesh() = default;
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regular_bz_mesh(brillouin_zone const& bz, int n_l)
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: bz(bz), dims{n_l, (bz.lattice().dim() >= 2 ? n_l : 1), (bz.lattice().dim() >= 3 ? n_l : 1)} {}
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int rank() const { return (dims[2] > 1 ? 3 : (dims[1] > 1 ? 2 : 1)); }
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utility::mini_vector<int, 3> get_dimensions() const { return dims; }
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/// ----------- Model the mesh concept ----------------------
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using domain_t = brillouin_zone;
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using domain_pt_t = typename domain_t::point_t;
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domain_t const& domain() const { return bz; }
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using index_t = utility::mini_vector<long, 3>;
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using linear_index_t = long;
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size_t size() const { return _size; }
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utility::mini_vector<size_t, 1> size_of_components() const {
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return {size()};
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}
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k_t index_to_point(index_t const& i) const {
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return {i[0] * step[0], i[1] * step[1], i[2] * step[2]};
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//return {(i[0] + 0.5) * step[0], (i[1] + 0.5) * step[1], (i[2] + 0.5) * step[2]};
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}
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// flatten the index
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linear_index_t index_to_linear(index_t const& i) const { return i[0] + i[1] * s1 + i[2] * s2; }
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// f (k) -> void where k is a k_t, a point in the BZ
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template <typename F> friend void foreach(regular_bz_mesh const& m, F f) {
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k_t k = {0,0,0}; //{0.5 * m.step[0], 0.5 * m.step[1], 0.5 * m.step[2]};
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for (long i2 = 0; i2 < m.dims[2]; ++i2, k(2) += m.step[2])
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for (long i1 = 0; i1 < m.dims[1]; ++i1, k(1) += m.step[1])
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for (long i0 = 0; i0 < m.dims[0]; ++i0, k(0) += m.step[0]) f(k);
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}
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/// The wrapper for the mesh point
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class mesh_point_t : public utility::index3_generator, public utility::arithmetic_ops_by_cast<mesh_point_t, domain_pt_t> {
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regular_bz_mesh const* m = nullptr;
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public:
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mesh_point_t() = default;
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mesh_point_t(regular_bz_mesh const& mesh, index_t const& index) : index3_generator(mesh.get_dimensions(), index), m(&mesh) {}
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mesh_point_t(regular_bz_mesh const& mesh) : mesh_point_t(mesh, {0,0,0}) {}
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operator domain_pt_t() const { return m->index_to_point(index()); }
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linear_index_t linear_index() const { return m->index_to_linear(index()); }
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// The mesh point behaves like a vector // NOT GOOD : take the ith componenet, this is SLOW
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double operator()(int i) const { return index()[i] * m->step[i]; }
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//double operator()(int i) const { return (index()[i] + 0.5) * m->step[i]; }
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double operator[](int i) const { return operator()(i);}
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friend std::ostream& operator<<(std::ostream& out, mesh_point_t const& x) { return out << (domain_pt_t)x; }
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};
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/// Accessing a point of the mesh
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mesh_point_t operator[](index_t i) const {
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return {*this, i};
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}
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/// Iterating on all the points...
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using const_iterator = gfs::mesh_pt_generator<regular_bz_mesh>;
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const_iterator begin() const { return const_iterator(this); }
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const_iterator end() const { return const_iterator(this, true); }
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const_iterator cbegin() const { return const_iterator(this); }
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const_iterator cend() const { return const_iterator(this, true); }
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/// ----------- End mesh concept ----------------------
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/// locate the closest point
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mesh_point_t locate_neighbours(k_t const& k) const {
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auto l = [&](int i) {
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long r = std::lround(k(i) / step[i]) % dims[i];
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return (r >= 0 ? r : r + dims[i]);
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};
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return {*this, {l(0), l(1), l(2)}};
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}
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/// Write into HDF5
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friend void h5_write(h5::group fg, std::string subgroup_name, regular_bz_mesh const& m) {
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h5::group gr = fg.create_group(subgroup_name);
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h5_write(gr, "domain", m.domain());
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h5_write(gr, "n_pts", m.dims[2]);
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//h5_write(gr, "dims", m.dims.to_vector());
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}
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/// Read from HDF5
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friend void h5_read(h5::group fg, std::string subgroup_name, regular_bz_mesh& m) {
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h5::group gr = fg.open_group(subgroup_name);
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auto bz = h5::h5_read<brillouin_zone>(gr, "domain");
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auto dims = h5::h5_read<int>(gr, "n_pts");
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m = regular_bz_mesh(bz, dims);
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//auto dims = h5::h5_read<std::vector<int>>(gr, "dims");
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//m = regular_bz_mesh(bz, {dims[0], dims[1], dims[2]}); // NOT CORRECT IN GENERAL
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}
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// BOOST Serialization
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friend class boost::serialization::access;
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template <class Archive> void serialize(Archive& ar, const unsigned int version) {
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ar& TRIQS_MAKE_NVP("dims", dims);
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ar& TRIQS_MAKE_NVP("_size", _size);
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ar& TRIQS_MAKE_NVP("s2", s2);
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ar& TRIQS_MAKE_NVP("s1", s1);
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ar& TRIQS_MAKE_NVP("step", step);
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}
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};
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}
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}
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