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

.. only:: html

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

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

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

.. _sphx_glr_gallery_single_nearfields.py:


Near-Fields Computation and Visualization
=========================================

This example demonstrates the process of computing and visualizing the far-fields of a scatterer using PyMieSim.

.. GENERATED FROM PYTHON SOURCE LINES 7-47



.. image-sg:: /gallery/single/images/sphx_glr_nearfields_001.png
   :alt: scattered Ex real, scattered Ex abs
   :srcset: /gallery/single/images/sphx_glr_nearfields_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    Computing scattered near field component: Ex
    /opt/hostedtoolcache/Python/3.11.15/x64/lib/python3.11/site-packages/PyMieSim/single/representations/nearfields.py:259: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
      fields[component] = numpy.asarray(values).reshape(self.X.shape)

    <Figure size 1200x600 with 4 Axes>





|

.. code-block:: Python


    from PyMieSim.units import ureg

    from PyMieSim.single.scatterer import Sphere
    from PyMieSim.single.source import Gaussian
    from PyMieSim.polarization import PolarizationState
    from PyMieSim.single.setup import Setup

    polarization_state = PolarizationState(angle=0 * ureg.degree)


    source = Gaussian(
        wavelength=300 * ureg.nanometer,
        polarization=polarization_state,
        optical_power=1 * ureg.watt,
        numerical_aperture=0.3,
    )

    scatterer = Sphere(
        diameter=400 * ureg.nanometer,
        material=(1.4 + 5.j),
        medium=1.,
    )

    setup = Setup(
        scatterer=scatterer,
        source=source,
    )

    near_field = setup.get_representation("nearfields")

    near_field.plot(
        "Ex:real",
        "Ex:abs",
        type="scattered",
        plane_origin=(0.0, 0.0, 0.0),
        plane_normal=(0.0, 1.0, 0.0),
        sampling=100,
        extent_scale=4,
        tight_layout=True,
    )

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

   **Total running time of the script:** (0 minutes 0.722 seconds)


.. _sphx_glr_download_gallery_single_nearfields.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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