.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/plot_export_isoenergy_as_nxs_or_itx.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_auto_examples_plot_export_isoenergy_as_nxs_or_itx.py: Export isoenergy at the Fermi level ==================================== Simple workflow for exporting the isoenergy at the Fermi level. The data are a deflector scan on graphene as simulated from a third nearest neighbor tight binding model. The same workflow can be applied to any tilt-, polar-, deflector- or hv-scan. .. GENERATED FROM PYTHON SOURCE LINES 13-14 Import the "fundamental" python libraries for a generic data analysis: .. GENERATED FROM PYTHON SOURCE LINES 14-17 .. code-block:: default import numpy as np .. GENERATED FROM PYTHON SOURCE LINES 18-19 Instead of loading the file as for example: .. GENERATED FROM PYTHON SOURCE LINES 19-24 .. code-block:: default # from navarp.utils import navfile # file_name = r"nxarpes_simulated_cone.nxs" # entry = navfile.load(file_name) .. GENERATED FROM PYTHON SOURCE LINES 25-27 Here we build the simulated graphene signal with a dedicated function defined just for this purpose: .. GENERATED FROM PYTHON SOURCE LINES 27-39 .. code-block:: default from navarp.extras.simulation import get_tbgraphene_deflector entry = get_tbgraphene_deflector( scans=np.linspace(-5., 20., 91), angles=np.linspace(-25, 6, 400), ebins=np.linspace(-13, 0.4, 700), tht_an=-18, phi_an=0, hv=120, gamma=0.05 ) .. GENERATED FROM PYTHON SOURCE LINES 40-42 Fermi level autoset ^^^^^^^^^^^^^^^^^^^^^^^^^ .. GENERATED FROM PYTHON SOURCE LINES 42-49 .. code-block:: default entry.autoset_efermi(scan_range=[-5, 5], energy_range=[115.2, 115.8]) print("Energy of the Fermi level = {:.0f} eV".format(entry.efermi)) print("Energy resolution = {:.0f} meV".format(entry.efermi_fwhm*1000)) entry.plt_efermi_fit() .. image-sg:: /auto_examples/images/sphx_glr_plot_export_isoenergy_as_nxs_or_itx_001.png :alt: plot export isoenergy as nxs or itx :srcset: /auto_examples/images/sphx_glr_plot_export_isoenergy_as_nxs_or_itx_001.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out .. code-block:: none Fermi level at 115.4094 eV Energy resolution = 137.8 meV (i.e. FWHM of the Gaussian shape which, convoluted with a step function, fits the Fermi edge) Photon energy is now set to 120.0094 eV (instead of 120.0000 eV) Energy of the Fermi level = 115 eV Energy resolution = 138 meV .. GENERATED FROM PYTHON SOURCE LINES 50-52 Set the k-space for the transformation ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ .. GENERATED FROM PYTHON SOURCE LINES 52-61 .. code-block:: default entry.set_kspace( tht_p=0.1, k_along_slit_p=1.7, scan_p=0, ks_p=0, e_kin_p=114.3, ) .. rst-class:: sphx-glr-script-out .. code-block:: none tht_an = -17.979 scan_type = deflector inn_pot = 14.000 scans_0 = 0.000 phi_an = 0.000 kspace transformation ready .. GENERATED FROM PYTHON SOURCE LINES 62-65 Export the Fermi surface: ^^^^^^^^^^^^^^^^^^^^^^^^^ First of all let's show it: .. GENERATED FROM PYTHON SOURCE LINES 65-68 .. code-block:: default entry.isoenergy(0, 0.02).show() .. image-sg:: /auto_examples/images/sphx_glr_plot_export_isoenergy_as_nxs_or_itx_002.png :alt: plot export isoenergy as nxs or itx :srcset: /auto_examples/images/sphx_glr_plot_export_isoenergy_as_nxs_or_itx_002.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out .. code-block:: none .. GENERATED FROM PYTHON SOURCE LINES 69-75 Then to be exported it mush be interpolated in a uniform grid. This can be done by defining kbins in the isoenergy definition, which is the number of points the momentum along the analyzer slit and the scan. In this case the number will be [1000, 800] and we will call such isoenergy object as isoatfermi. sphinx_gallery_thumbnail_number = 3 .. GENERATED FROM PYTHON SOURCE LINES 75-78 .. code-block:: default isoatfermi = entry.isoenergy(0, 0.02, kbins=[1000, 800]) .. GENERATED FROM PYTHON SOURCE LINES 79-80 To show what we are going to save, the method is always the same: .. GENERATED FROM PYTHON SOURCE LINES 80-83 .. code-block:: default isoatfermi.show() .. image-sg:: /auto_examples/images/sphx_glr_plot_export_isoenergy_as_nxs_or_itx_003.png :alt: plot export isoenergy as nxs or itx :srcset: /auto_examples/images/sphx_glr_plot_export_isoenergy_as_nxs_or_itx_003.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out .. code-block:: none .. GENERATED FROM PYTHON SOURCE LINES 84-85 To export it as NXdata class of the nexus format uncomment this line: .. GENERATED FROM PYTHON SOURCE LINES 85-88 .. code-block:: default # isoatfermi.export_as_nxs('fermimap.nxs') .. GENERATED FROM PYTHON SOURCE LINES 89-90 To export it as igor-pro text file (itx) uncomment this line: .. GENERATED FROM PYTHON SOURCE LINES 90-92 .. code-block:: default # isoatfermi.export_as_itx('fermimap.itx') .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 7.883 seconds) .. _sphx_glr_download_auto_examples_plot_export_isoenergy_as_nxs_or_itx.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_export_isoenergy_as_nxs_or_itx.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_export_isoenergy_as_nxs_or_itx.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_