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

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

.. _sphx_glr_auto_examples_hello_simulation.py:

Hello, Simulation!
===============================================
Simulates a wavefront shaping experiment using a SimulatedWFS object,
which acts both as a spatial light modulator (SLM) and a detector.

.. GENERATED FROM PYTHON SOURCE LINES 5-29

.. code-block:: Python


    import numpy as np

    from openwfs.algorithms import StepwiseSequential
    from openwfs.simulation import SimulatedWFS

    # Create a simulation of an experiment
    size = (25, 25)
    t = np.random.normal(size=size) + 1j * np.random.normal(size=size)
    sim = SimulatedWFS(t=t)
    slm = sim.slm

    # Use the StepwiseSequential algorithm to optimize the phase pattern,
    # using a correction pattern of 10x10 segments and 4 phase steps
    # The pattern is scaled to the size of the transmission matrix t automatically
    alg = StepwiseSequential(feedback=sim, slm=slm, n_x=10, n_y=10, phase_steps=4)
    result = alg.execute()

    # Measure intensity with flat and shaped wavefronts
    slm.set_phases(0)
    before = sim.read()
    slm.set_phases(-np.angle(result.t))
    after = sim.read()
    print(f"Intensity in the target increased from {before} to {after}")


.. _sphx_glr_download_auto_examples_hello_simulation.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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