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Diffstat (limited to 'plot.py')
-rw-r--r-- | plot.py | 60 |
1 files changed, 60 insertions, 0 deletions
@@ -0,0 +1,60 @@ +import numpy as np +import scipy.stats as stats +import scipy.constants as const +from scipy.optimize import minimize + +import matplotlib +import matplotlib.pyplot as plt + +from boltzgas import HardSphereSetup, HardSphereSimulation +from boltzgas.initial_condition import grid_of_random_velocity_particles + +grid_width = 30 +radius = 0.002 +char_u = 1120 + +position, velocity = grid_of_random_velocity_particles(grid_width, radius, char_u) +velocity[:,:] = 0 +velocity[0,0] = 10.75*char_u +velocity[0,1] = -.25*char_u +config = HardSphereSetup(radius, char_u, position, velocity) +gas = HardSphereSimulation(config) + +m_nitrogen = 0.028 / const.N_A + +def plot(step, velocities): + velocities = np.array([np.linalg.norm(v) for v in velocities]) + maxwellian = stats.maxwell.fit(velocities) + + print("T = %.0f K; u_mean = %.0f [m/s]; energy = %.05f" % ((maxwellian[1]**2 / const.k * m_nitrogen, stats.maxwell.mean(*maxwellian), np.sum([x**2 for x in velocities])))) + + plt.figure() + + plt.ylim(0, 0.003) + plt.ylabel('Probability') + + plt.xlim(0, 1.2*char_u) + plt.xlabel('Velocity magnitude [m/s]') + + plt.hist(velocities, bins=50, density=True, alpha=0.5, label='Simulated velocities') + + xs = np.linspace(0, 1.2*char_u, 100) + plt.plot(xs, stats.maxwell.pdf(xs, *maxwellian), label='Maxwell-Boltzmann distribution') + + plt.legend(loc='upper right') + + plt.savefig("result/%04d.png" % step) + plt.close() + +def simulate(n_steps, section): + for i in range(0, int(n_steps / section)): + print("Plot step %d." % (i * section)) + + velocities = gas.get_velocities() + + for j in range(0,section): + gas.evolve() + + plot(i, velocities) + +simulate(100000, 1000) |