def _read_siesta_output(self, bands_file, path, band_structure):
"""
Reads the bands information from a SIESTA bands file.
"""
#Get the info from the bands file
self.path = path
if self.path and self.path != getattr(self, "siesta_path", None) or band_structure:
raise ValueError("A path was provided, therefore we can not use the .bands file even if there is one")
self.bands = self.get_sile(bands_file or "bands_file").read_data(as_dataarray=True)
# Inform of the path that it's being used if we can
# THIS IS ONLY WORKING PROPERLY FOR FRACTIONAL UNITS OF THE BAND POINTS RN
if hasattr(self, "fdf_sile") and self.fdf_sile.get("BandLines"):
try:
self.siesta_path = []
points = self.fdf_sile.get("BandLines")
for i, point in enumerate(points):
divisions, x, y, z, *others = point.split()
divisions = int(divisions) - int(points[i-1].split()[0]) if i > 0 else None
tick = others[0] if len(others) > 0 else None
self.siesta_path.append({"active": True, "x": float(x), "y": float(y), "z": float(z), "divisions": divisions, "tick": tick})
self.update_settings(path=self.siesta_path, run_updates=False, no_log=True)
except Exception as e:
print(f"Could not correctly read the bands path from siesta.\n Error {e}")
# Define the spin class of the results we have retrieved
if len(self.bands.spin.values) == 2:
self.spin = sisl.Spin("p")
def test_nc_H_non_colinear(sisl_tmp):
H1 = Hamiltonian(sisl.geom.graphene(), spin=sisl.Spin('NC'))
H1.construct(([0.1, 1.44], [0.1, 0.2, 0.3, 0.4]))
f1 = sisl_tmp('H1.nc', _dir)
f2 = sisl_tmp('H2.nc', _dir)
H1.write(f1)
H1.finalize()
H2 = sisl.get_sile(f1).read_hamiltonian()
H2.write(f2)
H3 = sisl.get_sile(f2).read_hamiltonian()
assert H1._csr.spsame(H2._csr)
assert np.allclose(H1._csr._D, H2._csr._D)
assert H1._csr.spsame(H3._csr)
assert np.allclose(H1._csr._D, H3._csr._D)
def _read_siesta_output(self, bands_file, band_structure):
"""
Reads the bands information from a SIESTA bands file.
"""
if band_structure:
raise ValueError(
"A path was provided, therefore we can not use the .bands file even if there is one"
)
self.bands_data = self.get_sile(
bands_file or "bands_file").read_data(as_dataarray=True)
# Define the spin class of the results we have retrieved
if len(self.bands_data.spin.values) == 2:
self.spin = sisl.Spin("p")
def test_nc_EDM_non_colinear(sisl_tmp):
EDM1 = EnergyDensityMatrix(sisl.geom.graphene(), spin=sisl.Spin('NC'))
EDM1.construct(([0.1, 1.44], [0.1, 0.2, 0.3, 0.4]))
f1 = sisl_tmp('EDM1.nc', _dir)
f2 = sisl_tmp('EDM2.nc', _dir)
EDM1.write(f1)
EDM1.finalize()
EDM2 = sisl.get_sile(f1).read_energy_density_matrix()
EDM2.write(f2)
EDM3 = sisl.get_sile(f2).read_energy_density_matrix()
assert EDM1._csr.spsame(EDM2._csr)
assert np.allclose(EDM1._csr._D, EDM2._csr._D)
assert EDM1._csr.spsame(EDM3._csr)
assert np.allclose(EDM1._csr._D, EDM3._csr._D)
def test_nc_DM_non_colinear(sisl_tmp):
DM1 = DensityMatrix(sisl.geom.graphene(), spin=sisl.Spin('NC'))
DM1.construct(([0.1, 1.44], [[0.1, 0.2, 0.3, 0.4], [0.2, 0.3, 0.4, 0.5]]))
f1 = sisl_tmp('DM1.nc', _dir)
f2 = sisl_tmp('DM2.nc', _dir)
DM1.write(f1)
DM1.finalize()
DM2 = sisl.get_sile(f1).read_density_matrix()
DM2.write(f2)
DM3 = sisl.get_sile(f2).read_density_matrix()
assert DM1._csr.spsame(DM2._csr)
assert np.allclose(DM1._csr._D, DM2._csr._D)
assert DM1._csr.spsame(DM3._csr)
assert np.allclose(DM1._csr._D, DM3._csr._D)
def test_nc_H_spin_orbit_nc2tshs2nc(sisl_tmp):
H1 = Hamiltonian(sisl.geom.graphene(), spin=sisl.Spin('SO'))
H1.construct(([0.1, 1.44], [[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8],
[0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]]))
f1 = sisl_tmp('H1.nc', _dir)
f2 = sisl_tmp('H2.TSHS', _dir)
H1.write(f1)
H1.finalize()
H2 = sisl.get_sile(f1).read_hamiltonian()
H2.write(f2)
H3 = sisl.get_sile(f2).read_hamiltonian()
assert H1._csr.spsame(H2._csr)
assert np.allclose(H1._csr._D, H2._csr._D)
assert H1._csr.spsame(H3._csr)
assert np.allclose(H1._csr._D, H3._csr._D)
def test_nc_DM_spin_orbit_nc2dm2nc(sisl_tmp):
DM1 = DensityMatrix(sisl.geom.graphene(), orthogonal=False, spin=sisl.Spin('SO'))
DM1.construct(([0.1, 1.44],
[[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.],
[0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.]]))
f1 = sisl_tmp('DM1.nc', _dir)
f2 = sisl_tmp('DM2.DM', _dir)
DM1.finalize()
DM1.write(f1)
DM2 = sisl.get_sile(f1).read_density_matrix()
DM2.write(f2)
DM3 = sisl.get_sile(f2).read_density_matrix()
assert DM1._csr.spsame(DM2._csr)
assert np.allclose(DM1._csr._D, DM2._csr._D)
assert DM1._csr.spsame(DM3._csr)
assert np.allclose(DM1._csr._D, DM3._csr._D)
def test_nc_EDM_non_colinear(sisl_tmp):
EDM1 = EnergyDensityMatrix(sisl.geom.graphene(), spin=sisl.Spin('NC'))
EDM1.construct(([0.1, 1.44], [[0.1, 0.2, 0.3, 0.4], [0.2, 0.3, 0.4, 0.5]]))
f1 = sisl_tmp('EDM1.nc', _dir)
f2 = sisl_tmp('EDM2.nc', _dir)
EDM1.write(f1, sort=False)
EDM1.finalize()
EDM2 = sisl.get_sile(f1).read_energy_density_matrix(sort=False)
EDM2.write(f2, sort=False)
EDM3 = sisl.get_sile(f2).read_energy_density_matrix(sort=False)
assert EDM1._csr.spsame(EDM2._csr)
assert EDM1._csr.spsame(EDM3._csr)
# EDM1 is finalized, but EDM2 is not finalized
assert not np.allclose(EDM1._csr._D, EDM2._csr._D)
# EDM2 and EDM3 are the same
assert np.allclose(EDM2._csr._D, EDM3._csr._D)
EDM2.finalize()
assert np.allclose(EDM1._csr._D, EDM2._csr._D)
def test_gf_write_read_spin(sisl_tmp, sisl_system):
f = sisl_tmp('file.TSGF', _dir)
tb = sisl.Hamiltonian(sisl_system.gtb, spin=sisl.Spin('P'))
tb.construct([(0.1, 1.5), ([0.1, -0.1], [2.7, 1.6])])
bz = sisl.MonkhorstPack(tb, [3, 3, 1])
E = np.linspace(-2, 2, 3) + 1j * 1e-4
S = np.eye(len(tb), dtype=np.complex128)
gf = sisl.io.get_sile(f)
gf.write_header(bz, E)
for i, (ispin, write_hs, k, e) in enumerate(gf):
Hk = tb.Hk(k, spin=ispin, format='array')
if write_hs and i % 2 == 0:
gf.write_hamiltonian(Hk)
elif write_hs:
gf.write_hamiltonian(Hk, S)
gf.write_self_energy(S * e - Hk)
# Check it isn't opened
assert not gf._fortran_is_open()
nspin, no_u, k, E_file = gf.read_header()
assert nspin == 2
assert np.allclose(E, E_file)
assert np.allclose(k, bz.k)
for i, (ispin, write_hs, k, e) in enumerate(gf):
Hk = tb.Hk(k, spin=ispin, format='array')
if write_hs and i % 2 == 0:
Hk_file, _ = gf.read_hamiltonian()
elif write_hs:
Hk_file, Sk_file = gf.read_hamiltonian()
assert np.allclose(S, Sk_file)
assert np.allclose(Hk, Hk_file)
SE_file = gf.read_self_energy()
assert np.allclose(SE_file, S * e - Hk)
def test_tshs_spin_orbit_tshs2nc2tshs(sisl_tmp):
H1 = sisl.Hamiltonian(sisl.geom.graphene(), spin=sisl.Spin('SO'))
H1.construct(([0.1, 1.44], [[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8],
[0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]]))
fdf_file = sisl_tmp('RUN.fdf', _dir)
f1 = sisl_tmp('tmp1.TSHS', _dir)
f2 = sisl_tmp('tmp1.nc', _dir)
H1.write(f1)
H1.finalize()
H2 = sisl.get_sile(f1).read_hamiltonian()
H2.write(f2)
H3 = sisl.get_sile(f2).read_hamiltonian()
open(fdf_file, 'w').writelines(["SystemLabel tmp1"])
fdf = sisl.get_sile(fdf_file)
assert np.allclose(
fdf.read_supercell(order='nc').cell,
fdf.read_supercell(order='TSHS').cell)
assert H1._csr.spsame(H2._csr)
assert np.allclose(H1._csr._D, H2._csr._D)
assert H1._csr.spsame(H3._csr)
assert np.allclose(H1._csr._D, H3._csr._D)
def _after_read(self, geometry):
"""
Creates the PDOS dataarray and updates the "requests" input field.
"""
from xarray import DataArray
# Check if the PDOS contains spin resolution (there should be three dimensions,
# and the first one should be the spin components)
self.spin = sisl.Spin.UNPOLARIZED
if self.PDOS.squeeze().ndim == 3:
self.spin = {
2: sisl.Spin.POLARIZED,
4: sisl.Spin.NONCOLINEAR
}[self.PDOS.shape[0]]
self.spin = sisl.Spin(self.spin)
# Normalize the PDOS array so that we ensure a first dimension for spin even if
# there is no spin resolution
if self.PDOS.ndim == 2:
self.PDOS = np.expand_dims(self.PDOS, axis=0)
# Set the geometry.
if geometry is not None:
if geometry.no != self.PDOS.shape[1]:
raise ValueError(
f"The geometry provided contains {geometry.no} orbitals, while we have PDOS information of {self.PDOS.shape[1]}."
)
self.geometry = geometry
self.get_param('requests').update_options(self.geometry, self.spin)
self.PDOS = DataArray(
self.PDOS,
coords={
'spin': self.get_param('requests').get_options("spin"),
'orb': range(self.PDOS.shape[1]),
'E': self.E
},
dims=('spin', 'orb', 'E'))
def _after_read(self, geometry):
"""
Creates the PDOS dataarray and updates the "requests" input field.
"""
from xarray import DataArray
# Check if the PDOS contains spin resolution (there should be three dimensions,
# and the first one should be the spin components)
self.spin = sisl.Spin.UNPOLARIZED
if self.PDOS.squeeze().ndim == 3:
self.spin = {
2: sisl.Spin.POLARIZED,
4: sisl.Spin.NONCOLINEAR
}[self.PDOS.shape[0]]
self.spin = sisl.Spin(self.spin)
# Set the geometry.
if geometry is not None:
if geometry.no != self.PDOS.shape[1]:
raise ValueError(
f"The geometry provided contains {geometry.no} orbitals, while we have PDOS information of {self.PDOS.shape[1]}."
)
self.geometry = geometry
self.get_param('requests').update_options(self.geometry, self.spin)
# If there's one dimension for spin but the calculation is spin unpolarized,
# remove the spurious spin dimension
if self.spin.is_unpolarized and self.PDOS.ndim == 3:
self.PDOS = self.PDOS[0]
coords = {'E': self.E}
dims = ('orb', 'E')
if not self.spin.is_unpolarized:
coords['spin'] = self.get_param('requests').get_options("spin")
dims = ('spin', 'orb', 'E')
self.PDOS = DataArray(self.PDOS, coords=coords, dims=dims)
def init_func_and_attrs(self, request, siesta_test_files):
name = request.param
if name == "siesta_output":
# From a siesta .bands file
init_func = sisl.get_sile(siesta_test_files("SrTiO3.bands")).plot
attrs = {
"bands_shape": (150, 72),
"ticklabels": ('Gamma', 'X', 'M', 'Gamma', 'R', 'X'),
"tickvals":
[0.0, 0.429132, 0.858265, 1.465149, 2.208428, 2.815313],
"gap": 1.677,
"spin_texture": False,
"spin": sisl.Spin("")
}
elif name.startswith("sisl_H"):
gr = sisl.geom.graphene()
H = sisl.Hamiltonian(gr)
H.construct([(0.1, 1.44), (0, -2.7)])
spin_type = name.split("_")[-1]
n_spin, H = {
"unpolarized": (0, H),
"polarized": (2, H.transform(spin=sisl.Spin.POLARIZED)),
"noncolinear": (0, H.transform(spin=sisl.Spin.NONCOLINEAR)),
"spinorbit": (0, H.transform(spin=sisl.Spin.SPINORBIT))
}.get(spin_type)
n_states = 2
if not H.spin.is_diagonal:
n_states *= 2
# Let's create the same graphene bands plot using the hamiltonian
# from two different prespectives
if name.startswith("sisl_H_path"):
# Passing a list of points (as if we were interacting from a GUI)
path = [{
"active": True,
"x": x,
"y": y,
"z": z,
"divisions": 3,
"name": tick
} for tick, (x, y, z) in zip(
["Gamma", "M", "K"], [[0, 0, 0], [2 / 3, 1 /
3, 0], [1 / 2, 0, 0]])]
init_func = partial(H.plot.bands, band_structure=path)
else:
# Directly creating a BandStructure object
bz = sisl.BandStructure(
H, [[0, 0, 0], [2 / 3, 1 / 3, 0], [1 / 2, 0, 0]], 6,
["Gamma", "M", "K"])
init_func = bz.plot
attrs = {
"bands_shape": (6, n_spin, n_states) if n_spin != 0 else
(6, n_states),
"ticklabels": ["Gamma", "M", "K"],
"tickvals": [0., 1.70309799, 2.55464699],
"gap":
0,
"spin_texture":
not H.spin.is_diagonal,
"spin":
H.spin
}
return init_func, attrs
def _after_init(self):
self.spin = sisl.Spin("")
self.add_shortcut("g", "Toggle gap", self.toggle_gap)
def test_gf_write_read_direct(sisl_tmp, sisl_system):
f = sisl_tmp('file.TSGF', _dir)
tb = sisl.Hamiltonian(sisl_system.gtb, spin=sisl.Spin('P'))
tb.construct([(0.1, 1.5), ([0.1, -0.1], [2.7, 1.6])])
bz = sisl.MonkhorstPack(tb, [3, 3, 1])
E = np.linspace(-2, 2, 3) + 1j * 1e-4
S = np.eye(len(tb), dtype=np.complex128)
gf = sisl.io.get_sile(f)
gf.write_header(bz, E)
for i, (ispin, write_hs, k, e) in enumerate(gf):
Hk = tb.Hk(k, spin=ispin, format='array')
if write_hs and i % 2 == 0:
gf.write_hamiltonian(Hk)
elif write_hs:
gf.write_hamiltonian(Hk, S)
gf.write_self_energy(S * e - Hk)
# ensure it is not opened
assert not gf._fortran_is_open()
# First try from beginning
for e in [0, 1, E[1], 0, E[0]]:
ie = gf.Eindex(e)
SE1 = gf.self_energy(e, bz.k[2, :])
assert gf._state == 1
assert gf._ik == 2
assert gf._iE == ie
assert gf._ispin == 0
assert gf._is_read == 1
SE2 = gf.self_energy(e, bz.k[2, :], spin=1)
assert gf._state == 1
assert gf._ik == 2
assert gf._iE == ie
assert gf._ispin == 1
assert gf._is_read == 1
assert not np.allclose(SE1, SE2)
# In the middle we read some hamiltonians
H1, S1 = gf.HkSk(bz.k[2, :], spin=0)
assert gf._state == 0
assert gf._ik == 2
assert gf._iE == 0
assert gf._ispin == 0
assert gf._is_read == 1
assert np.allclose(S, S1)
H2, S1 = gf.HkSk(bz.k[2, :], spin=1)
assert gf._state == 0
assert gf._ik == 2
assert gf._iE == 0
assert gf._ispin == 1
assert gf._is_read == 1
assert np.allclose(S, S1)
assert not np.allclose(H1, H2)
assert not np.allclose(H1, SE1)
H2, S1 = gf.HkSk(bz.k[2, :], spin=0)
assert gf._state == 0
assert gf._ik == 2
assert gf._iE == 0
assert gf._ispin == 0
assert gf._is_read == 1
assert np.allclose(S, S1)
assert np.allclose(H1, H2)
# Now read self-energy
SE2 = gf.self_energy(e, bz.k[2, :], spin=0)
assert gf._state == 1
assert gf._ik == 2
assert gf._iE == ie
assert gf._ispin == 0
assert gf._is_read == 1
assert np.allclose(SE1, SE2)
def init_func_and_attrs(self, request, siesta_test_files):
name = request.param
if name.startswith("sisl_H"):
gr = sisl.geom.graphene()
H = sisl.Hamiltonian(gr)
H.construct([(0.1, 1.44), (0, -2.7)])
spin_type = name.split("_")[2]
n_spin, H = {
"unpolarized": (1, H),
"polarized": (2, H.transform(spin=sisl.Spin.POLARIZED)),
"noncolinear": (1, H.transform(spin=sisl.Spin.NONCOLINEAR)),
"spinorbit": (1, H.transform(spin=sisl.Spin.SPINORBIT))
}.get(spin_type)
n_states = 2
if H.spin.is_spinorbit or H.spin.is_noncolinear:
n_states *= 2
# Directly creating a BandStructure object
if name.endswith("jump"):
names = ["Gamma", "M", "M", "K"]
bz = sisl.BandStructure(H, [[0, 0, 0], [2 / 3, 1 / 3, 0], None,
[2 / 3, 1 / 3, 0], [1 / 2, 0, 0]],
6, names)
nk = 7
tickvals = [0., 1.70309799, 1.83083034, 2.68237934]
else:
names = ["Gamma", "M", "K"]
bz = sisl.BandStructure(
H, [[0, 0, 0], [2 / 3, 1 / 3, 0], [1 / 2, 0, 0]], 6, names)
nk = 6
tickvals = [0., 1.70309799, 2.55464699]
init_func = bz.plot.fatbands
attrs = {
"bands_shape":
(nk, n_spin, n_states) if H.spin.is_polarized else
(nk, n_states),
"weights_shape":
(n_spin, nk, n_states, 2) if H.spin.is_polarized else
(nk, n_states, 2),
"ticklabels":
names,
"tickvals":
tickvals,
"gap":
0,
"spin_texture":
not H.spin.is_diagonal,
"spin":
H.spin
}
elif name == "wfsx file":
# From a siesta bands.WFSX file
# Since there is no hamiltonian for bi2se3_3ql.fdf, we create a dummy one
wfsx = sisl.get_sile(siesta_test_files("bi2se3_3ql.bands.WFSX"))
geometry = sisl.get_sile(
siesta_test_files("bi2se3_3ql.fdf")).read_geometry()
geometry = sisl.Geometry(geometry.xyz, atoms=wfsx.read_basis())
H = sisl.Hamiltonian(geometry, dim=4)
init_func = partial(H.plot.fatbands,
wfsx_file=wfsx,
E0=-51.68,
entry_points_order=["wfsx file"])
attrs = {
"bands_shape": (16, 8),
"weights_shape": (16, 8, 195),
"ticklabels": None,
"tickvals": None,
"gap": 0.0575,
"spin_texture": False,
"spin": sisl.Spin("nc")
}
return init_func, attrs
