rd.global_optimization()

RotationalDiffusion.fitting.global_optimization(lag_times, Q_data, weights=1, chi2_func=<function chi2_PCS>, D_init=None, PCS_init=None, seed=None, beta_params=(0.1, 20.0, 0.05), D_scale_params=(0.5, 0.05, -0.005), angle_params=(90.0, 1.0, -0.5), max_iter=1000, switch_freq=20, use_relative_energy=True)

Global optimization of diffusion coefficients and principal axes using a simulated annealing algorithm.