#include #include #include using namespace wolff; class ising_t { public: int s; ising_t() : s(1) {}; ising_t(int i) : s(i) {}; ising_t act(const ising_t& x) const { return ising_t(s * x.s); } ising_t act_inverse(const ising_t& x) const { return this->act(x); } }; class measure_clusters : public measurement { private: v_t C; public: double Ctotal; measure_clusters() { Ctotal = 0; } void pre_cluster(N_t, N_t, const system&, v_t, const ising_t&) { C = 0; } void plain_site_transformed(const system&, v_t, const ising_t&) { C++; } void post_cluster(N_t, N_t, const system&) { Ctotal += C; } }; int main(int argc, char *argv[]) { // set defaults N_t N = (N_t)1e3; D_t D = 2; L_t L = 128; double T = 2.26918531421; double H = 0.01; // define the spin-spin coupling std::function Z = [](const ising_t& s1, const ising_t& s2) -> double { return (double)(s1.s * s2.s); }; // define the spin-field coupling std::function B = [=](const ising_t& s) -> double { return H * s.s; }; // initialize the lattice graph G(D, L); // initialize the system system S(G, T, Z, B); // define function that generates self-inverse rotations std::function &, v_t)> gen_R = [] (std::mt19937&, const system&, v_t) -> ising_t { return ising_t(-1); }; // initailze the measurement object measure_clusters A; // initialize the random number generator auto seed = std::chrono::high_resolution_clock::now().time_since_epoch().count(); std::mt19937 rng{seed}; // run wolff N times S.run_wolff(N, gen_R, A, rng); // print results std::cout << "The average cluster size per site was " << (A.Ctotal / N) / S.nv << ".\n"; // exit return 0; }