.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/experiment/cylinder/cylinder_Qsca_vs_diameter.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_cylinder_cylinder_Qsca_vs_diameter.py>`
        to download the full example code.

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

.. _sphx_glr_gallery_experiment_cylinder_cylinder_Qsca_vs_diameter.py:


Cylinder: Qsca vs Diameter
==========================

This example demonstrates how to compute and visualize the scattering efficiency (Qsca) as a function of diameter for cylindrical scatterers using PyMieSim, considering multiple wavelengths.

.. GENERATED FROM PYTHON SOURCE LINES 9-10

Importing the package dependencies: numpy, PyMieSim

.. GENERATED FROM PYTHON SOURCE LINES 10-17

.. code-block:: Python

    import numpy as np
    from TypedUnit import ureg

    from PyMieSim.experiment.scatterer import Cylinder
    from PyMieSim.experiment.source import Gaussian
    from PyMieSim.experiment import Setup








.. GENERATED FROM PYTHON SOURCE LINES 18-19

Defining the source

.. GENERATED FROM PYTHON SOURCE LINES 19-27

.. code-block:: Python

    source = Gaussian(
        wavelength=[500, 1000, 1500]
        * ureg.nanometer,  # Array of wavelengths: 500 nm, 1000 nm, 1500 nm
        polarization=30 * ureg.degree,  # Polarization angle in ureg.degrees
        optical_power=1e-3 * ureg.watt,  # 1 milliureg.watt
        NA=0.2 * ureg.AU,  # Numerical Aperture
    )








.. GENERATED FROM PYTHON SOURCE LINES 28-29

Defining the scatterer distribution

.. GENERATED FROM PYTHON SOURCE LINES 29-37

.. code-block:: Python

    scatterer = Cylinder(
        diameter=np.geomspace(6.36, 10000, 1000)
        * ureg.nanometer,  # Diameters ranging from ~6.36 nm to 10000 nm
        property=[1.4] * ureg.RIU,  # Refractive index of the cylinder
        medium_property=1 * ureg.RIU,  # Refractive index of the surrounding medium
        source=source,
    )








.. GENERATED FROM PYTHON SOURCE LINES 38-39

Setting up the experiment

.. GENERATED FROM PYTHON SOURCE LINES 39-41

.. code-block:: Python

    experiment = Setup(scatterer=scatterer, source=source)








.. GENERATED FROM PYTHON SOURCE LINES 42-43

Measuring the scattering efficiency (Qsca)

.. GENERATED FROM PYTHON SOURCE LINES 43-45

.. code-block:: Python

    dataframe = experiment.get("Qsca")








.. GENERATED FROM PYTHON SOURCE LINES 46-48

Plotting the results
Visualizing how the Qsca varies with the cylinder diameter.

.. GENERATED FROM PYTHON SOURCE LINES 48-49

.. code-block:: Python

    dataframe.plot(x="scatterer:diameter")



.. image-sg:: /gallery/experiment/cylinder/images/sphx_glr_cylinder_Qsca_vs_diameter_001.png
   :alt: cylinder Qsca vs diameter
   :srcset: /gallery/experiment/cylinder/images/sphx_glr_cylinder_Qsca_vs_diameter_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    <Figure size 800x500 with 1 Axes>




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

   **Total running time of the script:** (0 minutes 0.593 seconds)


.. _sphx_glr_download_gallery_experiment_cylinder_cylinder_Qsca_vs_diameter.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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