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Cylinder: Coupling vs Diameter#
This example demonstrates how to compute and visualize the coupling efficiency as a function of diameter for cylindrical scatterers using PyMieSim.
Importing the package dependencies: numpy, PyMieSim
import numpy as np
from PyMieSim.experiment.detector import Photodiode
from PyMieSim.experiment.scatterer import Cylinder
from PyMieSim.experiment.source import Gaussian
from PyMieSim.experiment import Setup
from PyMieSim import measure
from PyOptik import UsualMaterial
Defining the source
source = Gaussian(
wavelength=1.2e-6, # 1200 nm
polarization_value=90, # Polarization angle in degrees
polarization_type='linear',
optical_power=1e-3, # 1 milliwatt
NA=0.2 # Numerical Aperture
)
Defining the scatterer distribution
scatterer = Cylinder(
diameter=np.linspace(100e-9, 3000e-9, 200), # Diameters ranging from 100 nm to 3000 nm
material=UsualMaterial.BK7, # Material of the cylinder
medium_index=1.0, # Refractive index of the surrounding medium
source=source
)
Defining the detector
detector = Photodiode(
NA=[0.1, 0.05], # Numerical Apertures for the detector
phi_offset=-180.0, # Phi offset in degrees
gamma_offset=0.0, # Gamma offset in degrees
sampling=600, # Number of sampling points
polarization_filter=None # No polarization filter
)
Setting up the experiment
experiment = Setup(
scatterer=scatterer,
source=source,
detector=detector
)
Measuring the coupling efficiency
data = experiment.get(measure.coupling)
Plotting the results Visualizing how the coupling efficiency varies with the cylinder diameter.
figure = data.plot(
x=experiment.diameter, # Cylinder diameter as the x-axis
y_scale='linear', # Linear scale for the y-axis
normalize=True # Normalizing the results
)
Displaying the plot
_ = figure.show()
Total running time of the script: (0 minutes 0.661 seconds)