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

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

.. _sphx_glr_auto_examples_plot_insitu_heating.py:


In-situ heating
===============

A simulated heating chip is stepped to 650 C. Every droplet is its own crystal, and each
nucleates as the thermal budget accumulates: the glassy halo gives way to spotty powder
rings. A ``ManualClock`` lets the anneal run as fast as the renderer allows.

.. GENERATED FROM PYTHON SOURCE LINES 9-37



.. image-sg:: /auto_examples/images/sphx_glr_plot_insitu_heating_001.png
   :alt: t = 0 s, 25 C, t = 40 s, 650 C, t = 80 s, 650 C, t = 160 s, 650 C
   :srcset: /auto_examples/images/sphx_glr_plot_insitu_heating_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    from de_twin import DigitalTwin, ManualClock
    from de_twin.state import Projection

    clock = ManualClock()
    twin = DigitalTwin("Droplet crystallization", camera="DESim", clock=clock, holder="sim-heating", seed=3)
    twin.column.set("Magnification", 20000)
    feature = twin.specimen.features()[0]
    twin.column.move_stage(x=-feature.center_um[0], y=-feature.center_um[1])
    twin.column.set_projection(Projection.DIFFRACTION)

    twin.specimen.update(0.0, twin.holder_state(0.0))
    twin.holder.set(650.0)

    fig, axes = plt.subplots(1, 4, figsize=(12, 3.4))
    for ax, t_end in zip(axes, [0, 40, 80, 160]):
        while clock.now() < t_end:
            clock.advance(1.0)
            twin.specimen.update(clock.now(), twin.holder_state())
        dp = np.log1p(twin.flux(twin.request()))
        ax.imshow(dp, cmap="gray", vmin=np.percentile(dp, 1), vmax=np.percentile(dp, 99.95))
        ax.set_title(f"t = {t_end} s, {twin.holder_state().temperature_c:.0f} C", fontsize=9)
        ax.axis("off")
    fig.tight_layout()
    plt.show()


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

   **Total running time of the script:** (0 minutes 1.913 seconds)


.. _sphx_glr_download_auto_examples_plot_insitu_heating.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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