.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/wannier.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_wannier.py: ==================================== Wannier tight binding band structure ==================================== .. GENERATED FROM PYTHON SOURCE LINES 7-18 .. code-block:: Python # sphinx_gallery_thumbnail_number = 2 import numpy as np from fplore import FPLORun import matplotlib.pyplot as plt from fplore.util import linspace_ng tbrun = FPLORun("../example_data/ReO3/wannier/") ham = tbrun['+hamdata'] .. GENERATED FROM PYTHON SOURCE LINES 19-20 Set up the k-path .. GENERATED FROM PYTHON SOURCE LINES 20-32 .. code-block:: Python G = (0, 0, 0) X = (1, 0, 0) M = (1, 1, 0) R = (1, 1, 1) k = np.vstack([linspace_ng(G, X), linspace_ng(X, M), linspace_ng(M, R), linspace_ng(R, G), ]) k = k * np.pi / ham.lattice_vectors[0, 0] .. GENERATED FROM PYTHON SOURCE LINES 33-34 Plot the tight binding band structure. .. GENERATED FROM PYTHON SOURCE LINES 34-53 .. code-block:: Python H = np.zeros((len(k), ham.nwan, ham.nwan), dtype=np.cdouble) for (i, j), hopping in ham.data.items(): H[..., i, j] = (np.exp(1j * np.dot(k, hopping['T'].T)) * hopping['H']).sum(axis=-1) H[..., j, i] = H[..., i, j].conj() E = np.linalg.eigvalsh(H) dk = np.sqrt(((k[1:]-k[:-1])**2).sum(axis=1)) kdist = np.insert(np.cumsum(dk), 0, 0) fig, ax = plt.subplots() lines = ax.plot(kdist, E, color='k', lw=0.5) ax.set(ylabel=r"$E$ (eV)", xticks=[kdist[0], kdist[50], kdist[100], kdist[150], kdist[200-1]], xticklabels=["$\Gamma$", "X", "M", "R", "$\Gamma$"]) plt.show() .. image-sg:: /gallery/images/sphx_glr_wannier_001.png :alt: wannier :srcset: /gallery/images/sphx_glr_wannier_001.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out .. code-block:: none /home/docs/checkouts/readthedocs.org/user_builds/fplore/envs/latest/lib/python3.8/site-packages/fplore/files/band.py:551: UserWarning: genfromtxt: Empty input file: "<_io.StringIO object at 0x7fd85ff3e9d0>" TH = np.genfromtxt(StringIO(TH), dtype=np.float64, ndmin=2).reshape((-1, 5)) .. GENERATED FROM PYTHON SOURCE LINES 54-55 Plot the Hamiltonian. .. GENERATED FROM PYTHON SOURCE LINES 55-68 .. code-block:: Python fig, ax = plt.subplots(constrained_layout=True, ncols=2, sharex=True, sharey=True) im0 = ax[0].matshow(np.real(H[0])); ax[0].set_title(r"$\operatorname{Re} \mathbf{H}(k=\Gamma)$") im1 = ax[1].matshow(np.imag(H[0])); ax[1].set_title(r"$\operatorname{Im} \mathbf{H}(k=\Gamma)$") wannames_pretty = [x.replace('up','↑').replace('dn','↓') for x in ham.wannames] for _im, _ax in zip([im0, im1], ax): fig.colorbar(_im, ax=_ax, location='bottom') _ax.set_xticks(np.arange(ham.nwan), labels=wannames_pretty, fontsize=6, rotation=90) _ax.set_yticks(np.arange(ham.nwan), labels=wannames_pretty, fontsize=6) plt.show() .. image-sg:: /gallery/images/sphx_glr_wannier_002.png :alt: $\operatorname{Re} \mathbf{H}(k=\Gamma)$, $\operatorname{Im} \mathbf{H}(k=\Gamma)$ :srcset: /gallery/images/sphx_glr_wannier_002.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 2.194 seconds) .. _sphx_glr_download_gallery_wannier.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: wannier.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: wannier.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_