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

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

.. _sphx_glr_auto_examples_plot_planet_compositions.py:


Create a Planet from a Star
===========================

The core workflow: create a star from spectroscopic dex measurements, calculate a derivative bulk silicate planet composition, and visualize its chemistry.

.. GENERATED FROM PYTHON SOURCE LINES 7-8

.. code-block:: Python
   :dedent: 1









.. GENERATED FROM PYTHON SOURCE LINES 10-13

Create a Star
-------------
Stellar compositions are specified in dex notation — logarithmic abundances relative to the Sun. Positive values mean enriched, negative values mean depleted.

.. GENERATED FROM PYTHON SOURCE LINES 13-29

.. code-block:: Python


    import stellar_geology as sg
    import pandas as pd
    import plotly.graph_objects as go

    star = sg.Star(
        stellar_dex={"Fe": 0.1, "Mg": -0.05, "Si": -0.05},
        name="Example Star",
    )

    # View the star's composition as wt% oxides
    composition = star.get_composition(units="wtpt_oxides")
    print("Star composition (wt% oxides):")
    for oxide, pct in composition.items():
        print(f"  {oxide}: {pct:.2f}%")





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

 .. code-block:: none

    Star composition (wt% oxides):
      SiO2: 32.01%
      FeO: 46.02%
      MgO: 21.97%




.. GENERATED FROM PYTHON SOURCE LINES 30-33

Calculate a dervative bulk silicate planet composition
------------------------------------------------------
To get from a `Star()` to a bulk silicate planet composition, we simply create a `Planet()` object from our star, which then allows us to access its bulk composition and bulk silicate composition.

.. GENERATED FROM PYTHON SOURCE LINES 33-35

.. code-block:: Python

    planet = sg.Planet().from_star(star)








.. GENERATED FROM PYTHON SOURCE LINES 36-38

Let's look at the bulk planet composition first
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. GENERATED FROM PYTHON SOURCE LINES 38-43

.. code-block:: Python


    bulk = planet.get_composition(
        which="bulk_planet",
        units="molfrac_elements"
    )







.. GENERATED FROM PYTHON SOURCE LINES 44-47

Now, the bulk _silicate_ composition
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
To do this, we provide a fractionation factor to partition elements between the core and bulk silicate planet via the argument `alphas`. `alphas` is a dictionary that looks like: {"Fe": 0.3, "Ni": 0.1}. In that case, 30% of the planet's Fe and 10% of its Ni will go into the metallic core. "Fe" is required at a minimum, but additional elements may be passed here.

.. GENERATED FROM PYTHON SOURCE LINES 47-58

.. code-block:: Python


    # first let's set the alpha value for our planet
    planet.set_alphas({"Fe": 0.3})

    # now we can calculate the planet's bulk silicate composition
    bsp = planet.get_composition(
        which="bulk_silicate_planet",
        units="molfrac_elements"
    )
    bsp





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

 .. code-block:: none


    {'Si': 0.4515931220452917, 'Fe': 0.08629480080357436, 'Mg': 0.462112077151134}



.. GENERATED FROM PYTHON SOURCE LINES 59-62

Now let's visualize these compositions
--------------------------------------
First we use stellar_geology's ternary_plot, which is a wrapper for plotly's go.Scatterternary. Any argu ments that you can pass to go.Scatterternary are accepted by sg.ternary_plot and will be passed along. Try passing `ternary=dict(bgcolor="#333333")` as an argument in the ternary_plot() call.

.. GENERATED FROM PYTHON SOURCE LINES 64-70

.. raw:: html

   <div style="background-color:#fff3cd; border-left:4px solid #ff9800; padding:10px; border-radius:4px">
   <b>💡 Note:</b> ``ternary_plot`` creates interactive plots, even right here on the ReadTheDocs web page! Try clicking on one of the markers in the legend.
   </div>
   &nbsp;

.. GENERATED FROM PYTHON SOURCE LINES 70-86

.. code-block:: Python



    fig = sg.ternary_plot(
       bsp, 
       a="Si",
       b="Fe",
       c="Mg",
       title="Planetary compositions, molar fraction",
       name="BSP",
       width=650,
       base_marker=dict(size=20, color="#ff5252",
                        line=dict(color="#000000", width=1.5)
                        ),
    )
    fig






.. raw:: html

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    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 87-90

Add more to the plot
^^^^^^^^^^^^^^^^^^^^
sg.ternary_plot() returns a plotly figure object, so we can add to the plot as we would normally with plotly's go.Scatterternary. Let's add our bulk planet composition.

.. GENERATED FROM PYTHON SOURCE LINES 90-104

.. code-block:: Python


    fig.add_trace(go.Scatterternary(
        a=[bulk["Si"]],
        b=[bulk["Fe"]],
        c=[bulk["Mg"]],
        mode="markers",
        name="Bulk Planet",
        marker=dict(
            size=20,
            color="#ffcd40",
            line=dict(color="#000000", width=1.5)
            )
        ))
    fig





.. raw:: html

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    <div style="height:800px; width:650px;">                        <script>window.PlotlyConfig = {MathJaxConfig: 'local'};</script>
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.. _sphx_glr_download_auto_examples_plot_planet_compositions.py:

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

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