.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/experiment/sphere/size_distribution_families.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_gallery_experiment_sphere_size_distribution_families.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_experiment_sphere_size_distribution_families.py:


Compare size distribution families
==================================

Number-based size populations averaged in the non-interacting approximation.
No interparticle coupling, multiple scattering, or interparticle interference
is included. Refer to PackLab for correlation-based dependent-scattering
approximations when particle correlations matter.

.. GENERATED FROM PYTHON SOURCE LINES 10-47



.. image-sg:: /gallery/experiment/sphere/images/sphx_glr_size_distribution_families_001.png
   :alt: Size distributions — non-interacting particles
   :srcset: /gallery/experiment/sphere/images/sphx_glr_size_distribution_families_001.png
   :class: sphx-glr-single-img





.. code-block:: Python

    import matplotlib.pyplot as plt
    import numpy as np

    from PyMieSim import Measure, Experiment, ParticleSizeDistribution, PlaneWaveSet, PolarizationSet, SphereSet, ureg

    sizes = ParticleSizeDistribution
    populations = {
        "Monodisperse": sizes.monodisperse(200 * ureg.nanometer),
        "Uniform": sizes.uniform(100 * ureg.nanometer, 300 * ureg.nanometer),
        "Lognormal": sizes.lognormal(200 * ureg.nanometer, 1.2),
        "Truncated normal": sizes.truncated_normal(
            200 * ureg.nanometer, 40 * ureg.nanometer,
            minimum_diameter=100 * ureg.nanometer, maximum_diameter=300 * ureg.nanometer,
        ),
        "Triangular": sizes.triangular(100 * ureg.nanometer, 200 * ureg.nanometer, 300 * ureg.nanometer),
    }
    populations["Mixture (75% / 25%)"] = sizes.mixture(
        [sizes.monodisperse(100 * ureg.nanometer), populations["Uniform"]], [3, 1],
    )
    source = PlaneWaveSet(
        wavelength=np.linspace(400, 800, 40) * ureg.nanometer,
        polarization=PolarizationSet(angles=0 * ureg.degree),
        amplitude=[1] * ureg.volt / ureg.meter,
    )
    figure, axis = plt.subplots()
    for label, distribution in populations.items():
        experiment = Experiment(
            source_set=source,
            scatterer_set=SphereSet(diameter=distribution.diameters, material=[1.5], medium=[1.0]),
        )
        result = experiment.average_size_distribution(distribution, Measure.CSCA, as_result=True).to("nanometer ** 2")
        axis.plot(result.coords["source:wavelength"] * 1e9, result.magnitude, label=label)
    axis.set(xlabel="Wavelength [nm]", ylabel="Mean scattering cross section per particle [nm²]",
             title="Size distributions — non-interacting particles")
    axis.legend()
    figure.tight_layout()
    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.193 seconds)


.. _sphx_glr_download_gallery_experiment_sphere_size_distribution_families.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: size_distribution_families.ipynb <size_distribution_families.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: size_distribution_families.py <size_distribution_families.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: size_distribution_families.zip <size_distribution_families.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_