#include "space_wolff.hpp" int main(int argc, char* argv[]) { const unsigned D = 2; double L = 32; unsigned N = 1000; double T = 2.0 / log(1.0 + sqrt(2.0)); double H = 1.0; unsigned n = 25; int opt; while ((opt = getopt(argc, argv, "n:N:L:T:H:")) != -1) { switch (opt) { case 'n': n = (unsigned)atof(optarg); break; case 'N': N = (unsigned)atof(optarg); break; case 'L': L = atof(optarg); break; case 'T': T = atof(optarg); break; case 'H': H = atof(optarg); break; default: exit(1); } } std::function, spin)> Z = [L] (spin s1, spin s2) -> double { vector diff = s1.x - s2.x; for (unsigned i = 0; i < D; i++) { if (fabs(diff(i)) > L / 2) { diff(i) = L - fabs(diff(i)); } else { diff(i) = fabs(diff(i)); } } if (diff.transpose() * diff < pow(s1.s + s2.s, 2)) { return -std::numeric_limits::infinity(); } else { return 0; } }; std::function)> B = [L, H] (spin s) -> double { return H * sin(2 * M_PI * 3 * s.x(0) / L); }; std::function(model&, unsigned, spin)> neighbors = [] (model& m, unsigned i0, spin s1) -> std::set { std::set nn; if (i0 < m.s.size()) { std::set os1 = m.dict.on_site(s1.x); std::set nn0 = m.dict.nearest_neighbors(m.s[i0].x); std::set nn1 = m.dict.nearest_neighbors(s1.x); std::set nnn0 = m.dict.next_nearest_neighbors(m.s[i0].x); std::set nnn1 = m.dict.next_nearest_neighbors(s1.x); nn.insert(nn0.begin(), nn0.end()); nn.insert(nn1.begin(), nn1.end()); nn.insert(nnn0.begin(), nnn0.end()); nn.insert(nnn1.begin(), nnn1.end()); nn.insert(os1.begin(), os1.end()); nn.insert(m.s.size()); } else { for (unsigned i = 0; i < m.s.size(); i++) { nn.insert(i); } } return nn; }; model sphere(L, Z, B, neighbors); randutils::auto_seed_128 seeds; std::mt19937 rng{seeds}; std::uniform_real_distribution dist(0.0, L); for (unsigned i = 0; i < n; i++) { vector pos = {dist(rng), dist(rng)}; sphere.s.push_back({pos, 0.5}); sphere.dict.record(pos, i); } sphere.wolff(T, N, rng); for (spin s : sphere.s) { spin rs = sphere.s0.inverse().act(s); std::cout << s.x.transpose() << "\n"; } return 0; }