.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/monte_carlo/03_radius_samplers.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_gallery_monte_carlo_03_radius_samplers.py>`
        to download the full example code.

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

.. _sphx_glr_gallery_monte_carlo_03_radius_samplers.py:


Comparing radius samplers
=========================

Radius samplers are explicit physical inputs to an RSA simulation. Their
``to_bins`` method converts a continuous distribution into radius classes and
number fractions for use by the analytical Percus--Yevick model.

.. GENERATED FROM PYTHON SOURCE LINES 9-37



.. image-sg:: /gallery/monte_carlo/images/sphx_glr_03_radius_samplers_001.png
   :alt: Uniform, Log-normal
   :srcset: /gallery/monte_carlo/images/sphx_glr_03_radius_samplers_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    from PackLab import samplers
    from PackLab.units import ureg


    uniform = samplers.UniformRadiusSampler(
        minimum_radius=80 * ureg.nanometer,
        maximum_radius=160 * ureg.nanometer,
        bins=8,
    )
    log_normal = samplers.LogNormalRadiusSampler(
        median_radius=110 * ureg.nanometer,
        geometric_standard_deviation=1.25,
        maximum_radius_clip=250 * ureg.nanometer,
        bins=8,
    )

    figure, axes = plt.subplots(1, 2, figsize=(9, 3.5), sharey=True)
    for axis, sampler, label in zip(axes, (uniform, log_normal), ("Uniform", "Log-normal")):
        _ = sampler.plot_histogram(ax=axis, color="tab:blue", width=7)
        axis.set_title(label)
    figure.tight_layout()

    assert np.isclose(sum(uniform.to_bins()[1]), 1.0)
    assert np.isclose(sum(log_normal.to_bins()[1]), 1.0)


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

   **Total running time of the script:** (0 minutes 0.143 seconds)


.. _sphx_glr_download_gallery_monte_carlo_03_radius_samplers.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: 03_radius_samplers.ipynb <03_radius_samplers.ipynb>`

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

      :download:`Download Python source code: 03_radius_samplers.py <03_radius_samplers.py>`

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

      :download:`Download zipped: 03_radius_samplers.zip <03_radius_samplers.zip>`


.. only:: html

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

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