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

.. only:: html

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

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

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

.. _sphx_glr_auto_gallery_dispersion_plot_fit_ne.py:


Neon: the fitted model
======================

The neon model (``fit/Ne``): the 73.6 nm and 74.4 nm resonance lines at their NIST
energies and two effective oscillators, with the magnetic susceptibility :math:`\chi_0
= -8.48\times10^{-5}` a.u. The level comes from Lesiuk, Przybytek & Jeziorski's ab
initio Cauchy moments and Gaiser & Fellmuth's 2018 dielectric static polarizability (via
Lesiuk; their 2010 value is 16 ppm higher); the shape from the Cuthbertsons' visible
data (level free: their standard state is ambiguous, and it comes out 0.3 % high) and
Bideau-Mehu's vacuum ultraviolet.

The fit's reduced chi-squared is 2.5: the experiments' dispersion is about 0.6 %
stronger, relative to the static term, than the ab initio S(-4) allows (TC-92),
as the refractivity-constrained distributions of Kumar & Thakkar and of Langhoff &
Karplus also show; the band is scaled by the reduced chi-squared. Birch (+0.14 %),
Orcutt & Cole (+0.33 %) and Leonard's compilation (+0.27 %) lie high, like the classical
helium values.

.. GENERATED FROM PYTHON SOURCE LINES 26-29



.. image-sg:: /auto_gallery/dispersion/images/sphx_glr_plot_fit_ne_001.svg
   :alt: Ne: fit Ne (reduced chi2 2.63)
   :srcset: /auto_gallery/dispersion/images/sphx_glr_plot_fit_ne_001.svg
   :class: sphx-glr-single-img





.. code-block:: Python

    from _helpers import fit_overview

    fig = fit_overview("Ne", xlim=(70e-9, 20e-6))


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

   **Total running time of the script:** (0 minutes 1.061 seconds)


.. _sphx_glr_download_auto_gallery_dispersion_plot_fit_ne.py:

.. only:: html

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

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

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

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

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

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

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