(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
from pyofss import Domain, System, Gaussian, Fibre
from pyofss import temporal_power, multi_plot, labels
system = System(Domain(bit_width=200.0, samples_per_bit=2048))
system.add(Gaussian("gaussian", peak_power=1.0, width=1.0))
system.run()
P_ts = [temporal_power(system.fields['gaussian'])]
fibres = [
Fibre(length=5.0, beta=[0.0, 0.0, 0.0, 1.0], total_steps=100),
Fibre(length=5.0, beta=[0.0, 0.0, 1.0, 1.0], total_steps=100)
]
for fibre in fibres:
system = System(Domain(bit_width=200.0, samples_per_bit=2048))
system.add(Gaussian(peak_power=1.0, width=1.0))
system.add(fibre)
system.run()
P_ts.append(temporal_power(system.fields['fibre']))
if __name__ == "__main__":
"""
Plot the result of a Gaussian pulse propagating through optical fibre.
Simulates both (third-order) dispersion and nonlinearity.
Use five different methods: ss_simple, ss_symmetric, ss_sym_rk4,
ss_sym_rkf, and rk4ip. Expect all five methods to produce similar results;
plot traces should all overlap. Separate traces should only be seen at
a high zoom level.
"""
from pyofss import Domain, System, Gaussian, Fibre
from pyofss import temporal_power, multi_plot, labels
domain = Domain(bit_width=200.0, samples_per_bit=2048)
gaussian = Gaussian(peak_power=1.0, width=1.0)
P_ts = []
methods = ['ss_simple', 'ss_symmetric', 'ss_sym_rk4', 'rk4ip']
for m in methods:
sys = System(domain)
sys.add(gaussian)
sys.add(
Fibre(length=5.0,
method=m,
total_steps=50,
beta=[0.0, 0.0, 0.0, 1.0],
gamma=1.0))
sys.run()
P_ts.append(temporal_power(sys.field))
from pyofss import Domain, System, Gaussian, Fibre
from pyofss import temporal_power, spectral_power, double_plot, labels
domain = Domain(bit_width=4.0, samples_per_bit=4096)
s = 0.01
width = 1.0 / (s * domain.centre_omega)
gamma = 100.0 / (width ** 2)
P_ts = []
P_nus = []
length = [20.0 / gamma, 40.0 / gamma]
for l in length:
system = System(domain)
system.add(Gaussian(peak_power=1.0, width=width))
system.add(Fibre(length=l, gamma=gamma, total_steps=200,
self_steepening=True, beta=[0.0, 0.0, 1.0]))
system.run()
field = system.fields['fibre']
P_ts.append(temporal_power(field))
P_nus.append(spectral_power(field, True))
double_plot(system.domain.t, P_ts[0], system.domain.nu, P_nus[0],
labels["t"], labels["P_t"], labels["nu"], labels["P_nu"],
x_range=(-0.5, 0.5), X_range=(146.1, 240.1), filename="4-21a")
double_plot(system.domain.t, P_ts[1], system.domain.nu, P_nus[1],
labels["t"], labels["P_t"], labels["nu"], labels["P_nu"],
x_range=(-1.0, 1.0), X_range=(146.1, 240.1), filename="4-21b")
if __name__ == "__main__":
# Compare simulations using Fibre and OpenclFibre modules.
from pyofss import Domain, System, Gaussian, Fibre
from pyofss import temporal_power, double_plot, labels
import time
TS = 4096
GAMMA = 100.0
STEPS = 800
LENGTH = 0.1
DOMAIN = Domain(bit_width=30.0, samples_per_bit=TS)
SYS = System(DOMAIN)
SYS.add(Gaussian("gaussian", peak_power=1.0, width=1.0))
SYS.add(Fibre("fibre", beta=[0.0, 0.0, 0.0, 1.0], gamma=GAMMA,
length=LENGTH, total_steps=STEPS, method="RK4IP"))
start = time.clock()
SYS.run()
stop = time.clock()
NO_OCL_DURATION = (stop - start) / 1000.0
NO_OCL_OUT = SYS.fields["fibre"]
sys = System(DOMAIN)
sys.add(Gaussian("gaussian", peak_power=1.0, width=1.0))
sys.add(OpenclFibre(TS, dorf="float", length=LENGTH, total_steps=STEPS))
start = time.clock()
sys.run()
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
import sys
from pyofss.domain import nu_to_omega, lambda_to_nu
from pyofss import Domain, System, Gaussian, Fibre
from pyofss import map_plot, waterfall_plot, animated_plot, labels
nu_0 = lambda_to_nu(1060.0)
nu_1 = lambda_to_nu(1550.0)
offset_nu = nu_0 - nu_1
system = System(Domain(bit_width=20.0, samples_per_bit=8192,
channels=2, centre_nu=nu_0))
system.add(Gaussian(width=1.0, peak_power=1000.0, channel=0))
system.add(Gaussian(width=1.0, peak_power=0.1, channel=1,
offset_nu=-offset_nu))
system.add(Fibre('fibre', length=0.05, gamma=[0.9, 0.615483871],
beta=[[0.0, 0.0, 1.0, 0.0], [0.0, 0.0, -1.0, 0.0]],
centre_omega=(nu_to_omega(nu_0), nu_to_omega(nu_1)),
sim_type='wdm', method='ARK4IP', traces=100))
system.run()
storage = system['fibre'].stepper.storage
(x, y, z_temp) = storage.get_plot_data(channel=0)
z_label = r"Fibre length, $z \, (m)$"
z = z_temp * 1.0e3
map_plot(x, y, z, labels["t"], labels["P_t"], z_label,
filename="7-9_map_t_pump")
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
import sys
from pyofss import Domain, System, Gaussian, Fibre
from pyofss import map_plot, waterfall_plot, animated_plot, labels
for m in [1, 3]:
system = System(Domain(bit_width=200.0, samples_per_bit=2048))
system.add(Gaussian(peak_power=1.0, width=1.0, m=m))
system.add(Fibre(length=10.0, gamma=1.0, traces=50))
system.run()
storage = system['fibre'].stepper.storage
(x, y, z) = storage.get_plot_data(is_temporal=False, normalised=True)
map_plot(x,
y,
z,
labels["nu"],
labels["P_nu"],
labels["z"],
filename="4-4_map_m-{0:d}".format(m))
waterfall_plot(x,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
import numpy as np
from pyofss import Domain, System, Gaussian, Fibre
from pyofss import spectral_power, quad_plot, labels
A_fs = []
Cs = [0.0, 10.0, -10.0, -20.0]
for C in Cs:
system = System(Domain(bit_width=100.0, samples_per_bit=2048))
system.add(Gaussian(width=1.0, peak_power=1.0, C=C))
system.add(Fibre('fibre', length=1.0, gamma=4.5 * np.pi))
system.run()
A_fs.append(system.fields['fibre'])
P_nus = [spectral_power(A_f, True) for A_f in A_fs]
quad_plot(system.domain.nu,
P_nus,
Cs,
labels["nu"],
labels["P_nu"], ["$C = {0:.0f}$"], (189.1, 197.1),
filename="4-5")
Output information on Gaussian.
"""
output_string = [
'position = {0:f}', 'width = {1:f} ps', 'fwhm = {2:f} ps',
'peak_power = {3:f} W', 'offset_nu = {4:f} THz', 'm = {5:d}',
'C = {6:f}', 'initial_phase = {7:f} rad', 'channel = {8:d}'
]
return "\n".join(output_string).format(self.position, self.width,
self.calculate_fwhm(),
self.peak_power, self.offset_nu,
self.m, self.C,
self.initial_phase,
self.channel)
if __name__ == "__main__":
""" Plot a default Gaussian in temporal and spectral domain """
from pyofss import Domain, System, Gaussian
from pyofss import temporal_power, spectral_power
from pyofss import double_plot, labels
sys = System(Domain(bit_width=500.0))
sys.add(Gaussian())
sys.run()
double_plot(sys.domain.t, temporal_power(sys.field), sys.domain.nu,
spectral_power(sys.field, True), labels["t"], labels["P_t"],
labels["nu"], labels["P_nu"])
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
import sys
from pyofss import Domain, System, Gaussian, Fibre
from pyofss import map_plot, waterfall_plot, animated_plot, labels
system = System(Domain(bit_width=400.0, samples_per_bit=2048))
system.add(Gaussian(peak_power=1.0, width=30.0))
system.add(Fibre(length=90.0, beta=[0.0, 0.0, 1.0, 0.0], gamma=1.0,
traces=100))
system.run()
storage = system['fibre'].stepper.storage
(x, y, z) = storage.get_plot_data(False, (192.6, 193.6), normalised=True)
map_plot(x,
y,
z,
labels["nu"],
labels["P_nu"],
labels["z"],
filename="4-11_map_nu")
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
from pyofss import Domain, System, Gaussian, Fibre
from pyofss import spectral_power, double_plot, labels
system = System(Domain(bit_width=200.0, samples_per_bit=4096, channels=2))
system.add(Gaussian(width=1.0, peak_power=1.0, channel=0))
system.add(Gaussian(width=1.0, peak_power=0.5, channel=1))
system.add(
Fibre('fibre',
length=40.0,
gamma=[1.0, 1.2],
beta=[[0.0, 0.0, 0.0, 0.0], [0.0, 0.125, 0.0, 0.0]],
sim_type='wdm',
total_steps=400,
method='RK4IP'))
system.run()
A_fs = system.fields['fibre']
P_nu0 = spectral_power(A_fs[0], True)
P_nu1 = spectral_power(A_fs[1], True)
"""
from pyofss.domain import nu_to_omega
from pyofss import Domain, System, Gaussian, Fibre
from pyofss import temporal_power, double_plot, labels
domain = Domain(bit_width=20.0, samples_per_bit=8192, channels=2)
nu_0 = 193.1
nu_1 = 1.2 * nu_0
offset_nu = 0.2 * 193.1
offset = 2.5 / domain.bit_width
system = System(domain)
system.add(Gaussian(width=1.0, peak_power=1000.0, channel=0))
system.add(Gaussian(width=1.0, peak_power=0.1, channel=1,
position=0.5 - offset, offset_nu=offset_nu))
system.add(Fibre('fibre', length=0.2, gamma=[0.1, 0.12],
beta=[[0.0, 0.0, 1.0, 0.0], [0.0, 10.0, 1.0, 0.0]],
centre_omega=(nu_to_omega(nu_0), nu_to_omega(nu_1)),
sim_type='wdm', method='ARK4IP'))
system.run()
A_fs = system.fields['fibre']
P_t0 = temporal_power(A_fs[0])
P_t1 = temporal_power(A_fs[1])
double_plot(system.domain.t, P_t0, system.domain.t, P_t1,
labels["t"], labels["P_t"], labels["t"], labels["P_t"],
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
from pyofss import Domain, System, Gaussian
from pyofss import phase, chirp, double_plot, labels
system = System(Domain(bit_width=10.0))
t = system.domain.t
nu = system.domain.nu
window_nu = system.domain.window_nu
system.add(Gaussian(initial_phase=3.0, width=1.0))
system.run()
double_plot(t,
phase(system.field),
t,
chirp(system.field, window_nu),
labels["t"],
labels["phi"],
labels["t"],
labels["chirp"],
filename="1 - phase_offset")
system.clear(True)
system.add(Gaussian(offset_nu=0.5, width=1.0))
system.run()