.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/extras/plot_coupling_vs_NA.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_extras_plot_coupling_vs_NA.py: Sphere: Coupling vs numerical aperture ====================================== .. GENERATED FROM PYTHON SOURCE LINES 8-9 Importing the package dependencies: numpy, PyMieSim .. GENERATED FROM PYTHON SOURCE LINES 9-16 .. code-block:: Python import numpy as np from PyMieSim import experiment from PyMieSim import single from PyMieSim.units import degree, watt, AU, RIU, meter, nanometer from PyOptik import Material .. GENERATED FROM PYTHON SOURCE LINES 17-18 Defining the source to be employed. .. GENERATED FROM PYTHON SOURCE LINES 18-25 .. code-block:: Python source = experiment.source.Gaussian( wavelength=500 * nanometer, polarization=0 * degree, optical_power=1e-3 * watt, NA=0.2 * AU ) .. GENERATED FROM PYTHON SOURCE LINES 26-27 Defining the ranging parameters for the scatterer distribution .. GENERATED FROM PYTHON SOURCE LINES 27-34 .. code-block:: Python scatterer = experiment.scatterer.Sphere( diameter=500e-9 * meter, property=Material.BK7, medium_property=1 * RIU, source=source ) .. GENERATED FROM PYTHON SOURCE LINES 35-36 Defining the detector to be employed. .. GENERATED FROM PYTHON SOURCE LINES 36-44 .. code-block:: Python detector = experiment.detector.Photodiode( NA=np.linspace(0.1, 1.9, 150) * AU, phi_offset=0 * degree, gamma_offset=[0, 10] * degree, polarization_filter=None, sampling=2000 * AU ) .. GENERATED FROM PYTHON SOURCE LINES 45-46 Defining the experiment setup .. GENERATED FROM PYTHON SOURCE LINES 46-48 .. code-block:: Python setup = experiment.Setup(scatterer=scatterer, source=source, detector=detector) .. GENERATED FROM PYTHON SOURCE LINES 49-50 Measuring the properties .. GENERATED FROM PYTHON SOURCE LINES 50-52 .. code-block:: Python dataframe = setup.get('coupling', drop_unique_level=True) .. GENERATED FROM PYTHON SOURCE LINES 53-54 Plotting the results .. GENERATED FROM PYTHON SOURCE LINES 54-72 .. code-block:: Python dataframe.plot_data(x='detector:NA') single_source = single.Gaussian( wavelength=950 * nanometer, polarization=0 * degree, optical_power=1e-3 * watt, NA=0.2 * AU ) single_scatterer = single.scatterer.Sphere( diameter=500 * nanometer, property=Material.BK7, medium_property=1 * RIU, source=single_source ) print(single_scatterer.Qsca * 1e-3) .. image-sg:: /gallery/extras/images/sphx_glr_plot_coupling_vs_NA_001.png :alt: plot coupling vs NA :srcset: /gallery/extras/images/sphx_glr_plot_coupling_vs_NA_001.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out .. code-block:: none 0.0010554068484482308 .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.457 seconds) .. _sphx_glr_download_gallery_extras_plot_coupling_vs_NA.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_coupling_vs_NA.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_coupling_vs_NA.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_coupling_vs_NA.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_