.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_gallery/dispersion/plot_fit_ar.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_gallery_dispersion_plot_fit_ar.py: Argon: the fitted model ======================= The argon model (``fit/Ar``): the 104.8 nm and 106.7 nm resonance lines at their NIST energies and two effective oscillators, with the magnetic susceptibility :math:`\chi_0 = -2.30\times10^{-4}` a.u. that makes the electric polarizability the refractive one. The absolute level comes from Lesiuk & Jeziorski's ab initio Cauchy moments, the dielectric static polarizability (Gaiser & Fellmuth, via Lesiuk) and Egan's refractometry at 633 nm, which agree to a few 1e-5; the shape from 468 nm to 2.06 um from Peck & Fisher, whose level is 3.5e-4 high and is fitted free; the vacuum ultraviolet from Bideau-Mehu and Gordon. Squares are validators, not fitted: Zhang's comb value at 800 nm (+2.6e-4), Birch at 633 nm, Borzsonyi, Rusch's infrared point, and the Lyman-alpha values of Gill and Heddle. Top: direct datasets against the fit, with the fit's one-sigma band. Configured data use the fitter's conventions and uncertainties, with fitted scales removed; electric data receive the magnetic term for this comparison. Middle: the published formulas, the recorded ``luna_physdata`` fit and refractiveindex.info's entries against the fit. Bottom: the fitted direct datasets' normalised residuals; the static dielectric point agrees within one sigma. See :doc:`/fitting` for the panel definitions. .. GENERATED FROM PYTHON SOURCE LINES 28-31 .. image-sg:: /auto_gallery/dispersion/images/sphx_glr_plot_fit_ar_001.svg :alt: Ar: fit Ar (reduced chi2 0.50) :srcset: /auto_gallery/dispersion/images/sphx_glr_plot_fit_ar_001.svg :class: sphx-glr-single-img .. code-block:: Python from _helpers import fit_overview fig = fit_overview("Ar", xlim=(100e-9, 20e-6)) .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 1.405 seconds) .. _sphx_glr_download_auto_gallery_dispersion_plot_fit_ar.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_ar.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_fit_ar.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_fit_ar.zip `