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+
+#include <getopt.h>
+#include <iostream>
+#include <chrono>
+
+#include "simple_measurement.hpp"
+
+#include <wolff/models/vector.hpp>
+#include <wolff/models/orthogonal.hpp>
+#include <wolff.hpp>
+
+int main(int argc, char *argv[]) {
+
+ // set defaults
+ N_t N = (N_t)1e4;
+ D_t D = 2;
+ L_t L = 128;
+ double T = 0.8;
+ vector_t<WOLFF_N, double> H;
+ H.fill(0.0);
+ q_t 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 = (N_t)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 <double(const vector_t<WOLFF_N, double>&, const vector_t<WOLFF_N, double>&)> Z = [] (const vector_t<WOLFF_N, double>& s1, const vector_t<WOLFF_N, double>& s2) -> double {
+ return s1 * s2;
+ };
+
+ // define the spin-field coupling
+ std::function <double(const vector_t<WOLFF_N, double>&)> B = [&] (const vector_t<WOLFF_N, double>& s) -> double {
+ return H * s;
+ };
+
+ // initialize the system
+ wolff_system<orthogonal_t<WOLFF_N, double>, vector_t<WOLFF_N, double>> S(D, L, T, Z, B);
+
+ std::function <orthogonal_t<WOLFF_N, double>(std::mt19937&, const vector_t<WOLFF_N, double>&)> gen_R = generate_rotation_uniform<WOLFF_N>;
+
+ // initailze the measurement object
+ simple_measurement A(S);
+
+ // 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
+ wolff<orthogonal_t<WOLFF_N, double>, vector_t<WOLFF_N, double>>(N, S, 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;
+}
+