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add corrected datasets with PMD and dispersion

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This commit is contained in:
Joseph Hopfmüller
2024-12-29 16:41:52 +01:00
parent 7a0b65f82d
commit 3af73343c1
31 changed files with 108 additions and 42 deletions
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src/single-core-data-gen/generate_signal.py
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@@ -146,7 +146,7 @@ class pam_generator:
E_x = np.convolve(digital_x, wavelet)
# convert to pam and set modulation depth (scale and move up such that 1 stays at 1)
E_x = np.cumsum(E_x) * self.modulation_depth + 2*(1 - self.modulation_depth)
E_x = np.cumsum(E_x) * self.modulation_depth + (1 - self.modulation_depth)
# cut off the wavelet tails
E_x = E_x[self.glova.sps // 2 + len(wavelet) // 2 - 1 : -len(wavelet) // 2]
@@ -171,7 +171,7 @@ class pam_generator:
E[0]["E"][1] = np.sqrt(np.multiply(np.square(E[0]["E"][1]), E_y))
# rotate the signal on the y-polarisation by 90°
E[0]["E"][1] *= 1j
# E[0]["E"][1] *= 1j
else:
E[0]["E"][1] = np.zeros_like(E[0]["E"][0], dtype=E[0]["E"][0].dtype)
return E
@@ -243,7 +243,6 @@ def initialize_fiber_and_data(config, input_data_override=None):
pulse_shape=config["signal"]["pulse_shape"],
fwhm=config["signal"]["fwhm"],
seed=config["signal"]["jitter_seed"],
single_channel=False,
mod_order=config["signal"]["mod_order"],
)
@@ -379,56 +378,32 @@ def save_data(data, config):
print("Saved data to", save_dir / save_file)
def length_loop(config, lengths, incremental=False, bireflength=None, save=True):
def length_loop(config, lengths, save=True):
lengths = sorted(lengths)
input_override = None
birefsteps_running = 0
for lind, length in enumerate(lengths):
# print(f"\nGenerating data for fiber length {length}")
if lind > 0 and incremental:
# set the length to the difference between the current and previous length -> incremental
length = lengths[lind] - lengths[lind - 1]
if incremental:
print(
f"\nGenerating data for fiber length {lengths[lind]}m [using {length}m increment]"
)
else:
for length in lengths:
print(f"\nGenerating data for fiber length {length}m")
config["fiber"]["length"] = length
if bireflength is not None and bireflength > 0:
config["fiber"]["birefsteps"] = length // bireflength
birefsteps_running += config["fiber"]["birefsteps"]
# set the input data to the output data of the previous run
cfiber, cdata, noise, edfa = initialize_fiber_and_data(
config, input_data_override=input_override
)
if lind == 0:
cdata_orig = cdata
cfiber, cdata, noise, edfa = initialize_fiber_and_data(config)
mean_power_in = np.sum(pypho.functions.getpower_W(cdata.E_in))
cfiber()
mean_power_out = np.sum(pypho.functions.getpower_W(cdata.E_out))
print(
f"Mean power in: {mean_power_in:.3e} W ({pypho.functions.W_to_dBm(mean_power_in):.3e} dBm)"
)
cfiber()
mean_power_out = np.sum(pypho.functions.getpower_W(cdata.E_out))
print(
f"Mean power out: {mean_power_out:.3e} W ({pypho.functions.W_to_dBm(mean_power_out):.3e} dBm)"
)
if incremental:
input_override = (cdata.E_out, noise)
cdata.E_in = cdata_orig.E_in
config["fiber"]["length"] = lengths[lind]
if bireflength is not None:
config["fiber"]["birefsteps"] = birefsteps_running
E_tmp = [{'E': cdata.E_out, 'noise': noise*(-cfiber.params.l*cfiber.params.alpha)}]
E_tmp = edfa(E=E_tmp)
cdata.E_out = E_tmp[0]['E']
if save:
save_data(cdata, config)
@@ -646,10 +621,11 @@ if __name__ == "__main__":
10000, 20000, 30000, 40000, 50000, 60000, 70000, 80000, 90000,
95000, 100000, 105000, 110000, 115000, 120000
)
lengths = sorted(lengths)
length_loop(config, lengths, incremental=False, bireflength=1000, save=True)
# lengths = (10000,100000)
length_loop(config, lengths, save=True)
# birefringence is constant over coupling length -> several 100m -> bireflength=1000 (m)
# single_run_with_plot(config, save=True)
# single_run_with_plot(config, save=False)