#include #include #include #define WOLFF_USE_FINITE_STATES #define WOLFF_FINITE_STATES_N WOLFF_POTTSQ #include #include #include #include "simple_measurement.hpp" using namespace wolff; int main(int argc, char *argv[]) { // set defaults unsigned N = (unsigned)1e4; unsigned D = 2; unsigned L = 128; double T = 2.26918531421; vector_t H; H.fill(0.0); unsigned Hi = 0; int opt; // take command line arguments while ((opt = getopt(argc, argv, "N:D:L:T:H:")) != -1) { switch (opt) { case 'N': // number of steps N = (unsigned)atof(optarg); break; case 'D': // dimension D = atoi(optarg); break; case 'L': // linear size L = atoi(optarg); break; case 'T': // temperature T = atof(optarg); break; case 'H': // external field H[Hi] = atof(optarg); Hi++; break; default: exit(EXIT_FAILURE); } } // define the spin-spin coupling std::function &, const potts_t&)> Z = [] (const potts_t& s1, const potts_t& s2) -> double { if (s1.x == s2.x) { return 1.0; } else { return 0.0; } }; // define the spin-field coupling std::function &)> B = [=] (const potts_t& s) -> double { return H[s.x]; }; // initialize the lattice graph<> G(D, L); // initialize the system system, potts_t, graph<>> S(G, T, Z, B); // initialize the random number generator auto seed = std::chrono::high_resolution_clock::now().time_since_epoch().count(); std::mt19937 rng{seed}; // define function that generates self-inverse rotations std::function (std::mt19937&, const system, potts_t, graph<>>&, const graph<>::vertex&)> gen_r = [] (std::mt19937& r, const system, potts_t, graph<>>& S, const graph<>::vertex& v) -> symmetric_t { symmetric_t rot; std::uniform_int_distribution dist(0, WOLFF_POTTSQ - 2); unsigned j = dist(r); unsigned swap_v; if (j < S.s[v.ind].x) { swap_v = j; } else { swap_v = j + 1; } rot[S.s[v.ind].x] = swap_v; rot[swap_v] = S.s[v.ind].x; return rot; }; // initailze the measurement object simple_measurement A(S); // run wolff N times S.run_wolff(N, gen_r, A, rng); // print the result of our measurements std::cout << "Wolff complete!\nThe average energy per site was " << A.avgE() / S.nv << ".\nThe average magnetization per site was " << A.avgM() / S.nv << ".\nThe average cluster size per site was " << A.avgC() / S.nv << ".\n"; // exit return 0; }