.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/experiment/cylinder/cylinder_coupling_vs_phioffset.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_experiment_cylinder_cylinder_coupling_vs_phioffset.py: Cylinder: Goniometer ==================== This example demonstrates how to use a goniometer setup to measure and visualize the coupling efficiency as a function of angular displacement for cylindrical scatterers using PyMieSim. .. GENERATED FROM PYTHON SOURCE LINES 9-10 Importing the package dependencies: numpy, PyMieSim .. GENERATED FROM PYTHON SOURCE LINES 10-18 .. code-block:: Python import numpy as np from PyMieSim.experiment.detector import Photodiode from PyMieSim.experiment.scatterer import Cylinder from PyMieSim.experiment.source import Gaussian from PyMieSim.experiment import Setup from PyOptik import Material from PyMieSim.units import nanometer, degree, watt, AU, RIU .. GENERATED FROM PYTHON SOURCE LINES 19-20 Defining the source .. GENERATED FROM PYTHON SOURCE LINES 20-27 .. code-block:: Python source = Gaussian( wavelength=1200 * nanometer, # 1200 nm polarization=90 * degree, # Polarization angle in degrees optical_power=1e-3 * watt, # 1 milliwatt NA=0.2 * AU # Numerical Aperture ) .. GENERATED FROM PYTHON SOURCE LINES 28-29 Defining the scatterer distribution .. GENERATED FROM PYTHON SOURCE LINES 29-36 .. code-block:: Python scatterer = Cylinder( diameter=2000 * nanometer, # 2000 nm property=Material.BK7, # Material of the cylinder medium_property=1 * RIU, # Refractive index of the surrounding medium source=source ) .. GENERATED FROM PYTHON SOURCE LINES 37-38 Defining the detector .. GENERATED FROM PYTHON SOURCE LINES 38-46 .. code-block:: Python detector = Photodiode( NA=[0.5, 0.3, 0.1, 0.05] * AU, # Array of Numerical Apertures for the detector phi_offset=np.linspace(-180, 180, 200) * degree, # Angular displacement from -180 to 180 degrees gamma_offset=0 * degree, # Gamma offset in degrees sampling=400 * AU, # Number of sampling points polarization_filter=None # No polarization filter ) .. GENERATED FROM PYTHON SOURCE LINES 47-48 Setting up the experiment .. GENERATED FROM PYTHON SOURCE LINES 48-50 .. code-block:: Python experiment = Setup(scatterer=scatterer, source=source, detector=detector) .. GENERATED FROM PYTHON SOURCE LINES 51-52 Measuring the coupling efficiency .. GENERATED FROM PYTHON SOURCE LINES 52-54 .. code-block:: Python dataframe = experiment.get('coupling', scale_unit=True) .. GENERATED FROM PYTHON SOURCE LINES 55-57 Plotting the results Visualizing how the coupling efficiency varies with angular displacement. .. GENERATED FROM PYTHON SOURCE LINES 57-58 .. code-block:: Python dataframe.plot_data(x="detector:phi_offset") .. image-sg:: /gallery/experiment/cylinder/images/sphx_glr_cylinder_coupling_vs_phioffset_001.png :alt: cylinder coupling vs phioffset :srcset: /gallery/experiment/cylinder/images/sphx_glr_cylinder_coupling_vs_phioffset_001.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out .. code-block:: none .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.497 seconds) .. _sphx_glr_download_gallery_experiment_cylinder_cylinder_coupling_vs_phioffset.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: cylinder_coupling_vs_phioffset.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: cylinder_coupling_vs_phioffset.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: cylinder_coupling_vs_phioffset.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_