.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/EELS/fourier_ratio_deconvolution.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_EELS_fourier_ratio_deconvolution.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_EELS_fourier_ratio_deconvolution.py:


Fourier ratio deconvolution
===========================

This example demonstrates how to perform Fourier ratio deconvolution on Mn L\ :sub:`2,3` core-loss edge.

.. GENERATED FROM PYTHON SOURCE LINES 8-11

.. code-block:: Python


    import hyperspy.api as hs








.. GENERATED FROM PYTHON SOURCE LINES 12-14

Load a core-loss and low-loss EELS spectra and align the zero-loss peak.
The core-loss spectrum contains the O K edge at 532 eV and the Mn L\ :sub:`2,3` edgeat 640 eV.

.. GENERATED FROM PYTHON SOURCE LINES 14-22

.. code-block:: Python


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

    low_loss.align_zero_loss_peak(also_align=core_loss)

    hs.plot.plot_spectra([low_loss, core_loss], legend=["Low-loss", "Core-loss"])




.. image-sg:: /auto_examples/EELS/images/sphx_glr_fourier_ratio_deconvolution_001.png
   :alt: fourier ratio deconvolution
   :srcset: /auto_examples/EELS/images/sphx_glr_fourier_ratio_deconvolution_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    Initial ZLP position statistics
    -------------------------------
    Summary statistics
    ------------------
    mean:   0.8
    std:    0

    min:    0.8
    Q1:     0.8
    median: 0.8
    Q3:     0.8
    max:    0.8

    <Axes: xlabel=' (eV)', ylabel='Intensity'>



.. GENERATED FROM PYTHON SOURCE LINES 23-24

Remove the background from the Mn L\ :sub:`2,3` edge.

.. GENERATED FROM PYTHON SOURCE LINES 24-27

.. code-block:: Python

    Mn_edge = core_loss.remove_background([600.0, 638.0]).isig[600.0:]
    Mn_edge.plot()




.. image-sg:: /auto_examples/EELS/images/sphx_glr_fourier_ratio_deconvolution_002.png
   :alt:  Signal
   :srcset: /auto_examples/EELS/images/sphx_glr_fourier_ratio_deconvolution_002.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 28-29

Then perform Fourier ratio deconvolution using the low-loss spectrum as the reference.

.. GENERATED FROM PYTHON SOURCE LINES 29-31

.. code-block:: Python

    Mn_edge_deconv = Mn_edge.fourier_ratio_deconvolution(low_loss=low_loss)





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

 .. code-block:: none


      0%|          | 0/2 [00:00<?, ?it/s]
    100%|██████████| 2/2 [00:00<00:00, 3515.76it/s]




.. GENERATED FROM PYTHON SOURCE LINES 32-33

Plot the original and deconvolved spectra.

.. GENERATED FROM PYTHON SOURCE LINES 33-37

.. code-block:: Python

    hs.plot.plot_spectra(
        [Mn_edge, Mn_edge_deconv], legend=["Original", "Deconvolved"], normalise=True
    )




.. image-sg:: /auto_examples/EELS/images/sphx_glr_fourier_ratio_deconvolution_003.png
   :alt: fourier ratio deconvolution
   :srcset: /auto_examples/EELS/images/sphx_glr_fourier_ratio_deconvolution_003.png
   :class: sphx-glr-single-img


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

 .. code-block:: none


    <Axes: xlabel=' (eV)', ylabel='Normalised Intensity'>



.. GENERATED FROM PYTHON SOURCE LINES 38-39

sphinx_gallery_thumbnail_number = 3


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

   **Total running time of the script:** (0 minutes 1.049 seconds)


.. _sphx_glr_download_auto_examples_EELS_fourier_ratio_deconvolution.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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