quantum-dev/numerov-animation.py
2024-04-24 12:05:43 -04:00

66 lines
2.2 KiB
Python

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
iterations = 60000 # iterations for approximation
step = 0.0001 # step size for x
step_sqrd = pow(step, 2) # square of step size
epsilon = 2.5 # energy level, should be integer n+1/2 for good solutions
psi = 0.0 # initial value of wave function
potential = 0.0 # initial value of the potential energy function
pos = -1 * (iterations - 2) * step # initial value of the position
potential_past_2 = epsilon + pos - 2 * step # k_0, potential energy at two steps before current
potential_past_1 = epsilon + pos - step # k_1, potential energy at one step before current
amplitude = 0.1 # initial amplitude of wave function
psi_past_2 = 0 # y_0, wave function at two steps before current
psi_past_1 = amplitude # y_1, wave function at one step before current
x_out = [] # list to store x values for plotting
y_out = [] # list to store y values for plotting
fig, ax = plt.subplots()
line, = ax.plot([], [], label=f'epsilon = {epsilon}')
ax.set_xlim(-1, 1)
ax.set_ylim(-1, 1)
ax.set_xlabel("x")
ax.set_ylabel("y")
ax.set_title("Schrodinger Eqn in Harmonic Potential")
ax.legend(loc=1)
def init():
line.set_data([], [])
return line,
def update(frame):
global pos, potential, psi, potential_past_2, potential_past_1, psi_past_2, psi_past_1
for i in range(frame * 1000, (frame * 1000) + 1000):
print(i)
pos += step
potential = 2 * epsilon - pow(pos, 2) # potential energy function
b = step_sqrd / 12 # constant used for Numerov
# Numerov method to calculate psi at current step
psi = ((2 * (1 - 5 * b * potential_past_1) * psi_past_1 - (1 + b * potential_past_2) * psi_past_2)
/ (1 + b * potential))
# Save for plotting
x_out.append(pos)
y_out.append(psi)
# Shift for next iteration
psi_past_2 = psi_past_1
psi_past_1 = psi
potential_past_2 = potential_past_1
potential_past_1 = potential
line.set_data(x_out, y_out)
return line,
ani = animation.FuncAnimation(fig, update, frames=np.arange(0, (iterations - 2)), init_func=init, blit=True)
plt.show()