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

.. only:: html

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

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

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

.. _sphx_glr_auto_examples_model_fitting_EELS_curve_fitting.py:


EELS curve fitting
==================

Performs curve fitting to an EELS spectrum, plots the result and saves it as
png file.

.. GENERATED FROM PYTHON SOURCE LINES 10-32



.. image-sg:: /auto_examples/model_fitting/images/sphx_glr_EELS_curve_fitting_001.png
   :alt: coreloss_spectrum Signal
   :srcset: /auto_examples/model_fitting/images/sphx_glr_EELS_curve_fitting_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import hyperspy.api as hs

    s = hs.load("coreloss_spectrum.msa", signal_type="EELS")
    low_loss = hs.load("lowloss_spectrum.msa", signal_type="EELS")

    s.add_elements(("Mn", "O"))
    s.set_microscope_parameters(
        beam_energy=300, convergence_angle=24.6, collection_angle=13.6
    )

    m = s.create_model(low_loss=low_loss)
    m.enable_fine_structure()
    m.multifit(kind="smart")
    m.plot()

    # one can also use the Dirac GOS by specifying the GOS parameter
    m = s.create_model(low_loss=low_loss, GOS="dirac")
    m.enable_fine_structure()
    m.multifit(kind="smart")
    m.plot()



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

   **Total running time of the script:** (0 minutes 5.319 seconds)


.. _sphx_glr_download_auto_examples_model_fitting_EELS_curve_fitting.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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