Cylinder Scatterer Bohren-Huffman figure 8.7

Importing the dependencies: numpy, matplotlib, PyMieSim

import numpy
import matplotlib.pyplot as plt

from PyMieSim.directories import validation_data_path

from PyMieSim.experiment.scatterer import Cylinder
from PyMieSim.experiment.source import Gaussian
from PyMieSim.experiment import Setup
from PyMieSim.units import degree, watt, AU, RIU, nanometer

theoretical = numpy.genfromtxt(f"{validation_data_path}/bohren_huffman/figure_87.csv", delimiter=',')

diameter = numpy.geomspace(10, 6000, 800) * nanometer
volume = numpy.pi * (diameter.to_base_units().magnitude / 2)**2

source = Gaussian(
    wavelength=632.8 * nanometer,
    polarization=[0, 90] * degree,
    optical_power=1e-3 * watt,
    NA=0.2 * AU
)

scatterer = Cylinder(
    diameter=diameter,
    property=1.55 * RIU,
    medium_property=1 * RIU,
    source=source
)

experiment = Setup(
    scatterer=scatterer,
    source=source,
    detector=None
)

dataframe = experiment.get('Csca', add_units=False)

data = dataframe.squeeze().values.reshape([-1, diameter.size]) / volume * 1e-4 / 100

print(data.shape)

plt.figure(figsize=(8, 4))
plt.plot(diameter, data[0], 'b--', linewidth=3, label='PyMieSim')
plt.plot(diameter, data[1], 'r-', linewidth=3, label='PyMieSim')

plt.plot(diameter, theoretical[0], 'k--', linewidth=1, label='BH 8.8')
plt.plot(diameter, theoretical[1], 'k--', linewidth=1, label='BH 8.8')

plt.xlabel(r'Diameter [$\mu$m]')
plt.ylabel('Scattering cross section [cylinder]')
plt.grid(True)
plt.legend()
plt.tight_layout()
plt.show()

(2, 800)