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

.. only:: html

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

        Run this example online :

        - Click :ref:`here <sphx_glr_download_auto_examples_calculate_partition_functions_from_constants.py>`
          to download the full example code

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          upload the Jupyter notebook, and run it from there.

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

.. _sphx_glr_auto_examples_calculate_partition_functions_from_constants.py:


================================================
Partition Functions from spectroscopic constants
================================================

RADIS can calculate equilibrium and non-LTE Partition Functions from a given
set of spectroscopic constants using a Dunham expansion.

Calculations use the the :py:class:`~radis.levels.partfunc.PartFunc_Dunham` class

Default spectroscopic constants and spectroscopic models used are given in
:ref:`default spectroscopic constants <label_db_spectroscopic_constants>`.
You can also use your own set of spectroscopic constants.

See Also
--------
:py:class:`~radis.levels.partfunc.PartFuncHAPI`

.. GENERATED FROM PYTHON SOURCE LINES 21-35

.. code-block:: default


    from radis.db.molecules import Molecules
    from radis.levels.partfunc import PartFunc_Dunham

    isotope = 1
    electronic_state = "X"
    S = Molecules["CO"][isotope][electronic_state]

    # Equilibrium partition functions :
    Qf = PartFunc_Dunham(S)
    print(Qf.at(T=3000))  # K

    # Nonequilibrium partition functions :
    print(Qf.at_noneq(Tvib=2000, Trot=1000))  # K


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

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.. _sphx_glr_download_auto_examples_calculate_partition_functions_from_constants.py:

.. only:: html

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


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