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InfiniteCylinder: Qsca vs Index#
This example demonstrates how to compute and visualize the scattering efficiency (Qsca) as a function of refractive index for cylindrical scatterers using PyMieSim, considering multiple wavelengths.

/opt/hostedtoolcache/Python/3.11.16/x64/lib/python3.11/site-packages/matplotlib/cbook.py:1719: ComplexWarning: Casting complex values to real discards the imaginary part
return math.isfinite(val)
/opt/hostedtoolcache/Python/3.11.16/x64/lib/python3.11/site-packages/matplotlib/cbook.py:1355: ComplexWarning: Casting complex values to real discards the imaginary part
return np.asarray(x, float)
[<matplotlib.lines.Line2D object at 0x7fd4f5810550>, <matplotlib.lines.Line2D object at 0x7fd4f5225190>, <matplotlib.lines.Line2D object at 0x7fd4f5226710>]
import numpy as np
from PyMieSim import (
ureg,
InfiniteCylinderSet,
GaussianSet,
PolarizationSet,
Experiment,
)
polarization_set = PolarizationSet(
angles=[30.0] * ureg.degree,
)
source = GaussianSet(
wavelength=[500, 1000, 1500] * ureg.nanometer,
polarization=polarization_set,
optical_power=[1e-3] * ureg.watt,
numerical_aperture=[0.2],
)
scatterer = InfiniteCylinderSet(
diameter=[800] * ureg.nanometer,
material=np.linspace(1.3, 1.9, 1500),
medium=[1.0],
)
experiment = Experiment(scatterer_set=scatterer, source_set=source)
result = experiment.get("Qsca", "Qext")
result.plot(x="scatterer:material", y="Qsca")
Total running time of the script: (0 minutes 0.659 seconds)