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- #!/usr/bin/env python3
- import matplotlib
- import matplotlib.pyplot as plt
- from matplotlib import animation
- import numpy as np
- from numpy import cos, pi
- matplotlib.rcParams.update({'font.size': 15})
- c = 3E8 # m/s
- L = 1.0 # m
- FSR = 2*pi*c/(2*L) # Hz
- A0 = 1.0
- w0 = 1E9*FSR
- f0 = w0 / 2 / pi
- a_mod = 200
- w_mod = 0.0002 * w0
- f_mod = w_mod / 2 / pi
- def R_e(w):
- T = 0.05
- R = 1-T
- return 1 - T**2 / (1 + R**2 - 2*R*cos(w*2*L/c))
- def get_ref_power(freqs, powers):
- return sum(power*R_e(freq) for freq, power in zip(freqs, powers))
- def main():
- sample_n = 2000000
- ts = np.linspace(0, 10000*(1/f0), sample_n)
- dt = ts[1]-ts[0]
- mod = a_mod*np.sin(w_mod*ts)
- Es = A0*np.cos(w0*ts + mod)
- print("FSR", FSR)
- print(1/f0, dt)
- n_groups = 100
- win_size = int((1/f_mod) / dt / 12)
- win_spacing = (sample_n - win_size) // (n_groups+2)
- fig, (ax0, ax1, ax2) = plt.subplots(nrows=3, ncols=1)
- def do_plot(i):
- print(i)
- # ax0.clear()
- ax1.clear()
- n = ts.size // n_groups
- win_start = (win_size//2) + i*win_spacing
- win_end = win_start + win_size
- print(f"{win_start},{win_end}")
- # sec_ts = ts[win_start:win_end]
- sec = Es[win_start:win_end]
- # mod_sec = mod[win_start:win_end]
- sec_ft = np.fft.rfftn(sec)
- freq = np.fft.fftfreq(sec.size, d=dt)[:n//2]
- power = (sec_ft[:n//2].real**2 + sec_ft[:n//2].imag**2) / win_size
- # ax0.plot(sec_ts, mod_sec)
- ax0.plot(ts[(win_start+win_end) // 2], mod[(win_start+win_end) // 2], 'k.')
- ax0.set_ylim(-1.1*a_mod, 1.1*a_mod)
- ax0.set_xlim(0, ts[-1])
- ax1.plot(2*pi*freq/w0, power)
- ax1.set_xlim(0.80, 1.20)
- ref_power = get_ref_power(freq, power)
- ax2.plot(ts[(win_start+win_end) // 2], ref_power, 'r.')
- ax2.set_xlim(0, ts[-1])
- plt.tight_layout()
- anim = animation.FuncAnimation(fig, do_plot, n_groups)
- anim.save("output.mp4")
- if __name__ == '__main__':
- main()
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