sisl.physics.BrillouinZone

class sisl.physics.BrillouinZone(parent, k=None, weight=None)

Bases: object

A class to construct Brillouin zone related quantities

It takes any object (which has access to cell-vectors) as an argument and can then return the k-points in non-reduced units from reduced units.

The object associated with the BrillouinZone object has to implement at least two different properties:

  1. cell which is the lattice vector

  2. rcell which is the reciprocal lattice vectors.

The object may also be an array of floats in which case an internal Lattice object will be created from the cell vectors (see Lattice for details).

Parameters:

  • parent (object or array_like) – An object with associated parent.cell and parent.rcell or an array of floats which may be turned into a Lattice

  • k (array_like, optional) – k-points that this Brillouin zone represents

  • weight (scalar or array_like, optional) – weights for the k-points.

Methods

copy([parent])

Create a copy of this object, optionally changing the parent

in_primitive(k)

Move the k-point into the primitive point(s) ]-0.5 ; 0.5]

iter([ret_weight])

An iterator for the k-points and (possibly) the weights

merge(bzs[, weight_scale, parent])

Merge several BrillouinZone objects into one

param_circle(parent, N_or_dk, kR, normal, origin)

Create a parameterized k-point list where the k-points are generated on a circle around an origin

parametrize(parent, func, N, *args, **kwargs)

Generate a new BrillouinZone object with k-points parameterized via the function func in N separations

set_parent(parent)

Update the parent associated to this object

tocartesian(k)

Transfer a k-point in reduced coordinates to the Cartesian coordinates

toreduced(k)

Transfer a k-point in Cartesian coordinates to the reduced coordinates

volume([ret_dim, periodic])

Calculate the volume of the full Brillouin zone of the parent

write(sile, *args, **kwargs)

Writes k-points to a tableSile.

apply

Loop over all k-points by applying parent methods for all k.

cell

k

A list of all k-points (if available)

plot

Handles all plotting possibilities for a class

rcell

weight

Weight of the k-points in the BrillouinZone object
__init__(parent, k=None, weight=None)[source]
apply

Loop over all k-points by applying parent methods for all k.

This allows potential for running and collecting various computationally heavy methods from a single point on all k-points.

The apply method will dispatch the parent methods through all k-points and passing k as arguments to the parent methods in a straight-forward manner.

For instance to iterate over all eigenvalues of a Hamiltonian

>>> H = Hamiltonian(...)
>>> bz = BrillouinZone(H)
>>> for ik, eigh in enumerate(bz.apply.eigh()):
...    # do something with eigh which corresponds to bz.k[ik]

By default the apply method exposes a set of dispatch methods:

  • apply.iter, the default iterator module

  • apply.average reduced result by averaging (using BrillouinZone.weight as the weight per k-point.

  • apply.sum reduced result without weighing

  • apply.array return a single array with all values; has len equal to number of k-points

  • apply.none, specialized method that is mainly useful when wrapping methods

  • apply.list same as apply.array but using Python list as return value

  • apply.oplist using sisl.oplist allows greater flexibility for mathematical operations element wise

  • apply.datarray if xarray is available one can retrieve an xarray.DataArray instance

Please see Brillouin zone for further examples.

property cell
copy(parent=None) → BrillouinZone

Create a copy of this object, optionally changing the parent

Parameters:
Return type:

BrillouinZone

static in_primitive(k)[source]

Move the k-point into the primitive point(s) ]-0.5 ; 0.5]

Parameters:

k (array_like) – k-point(s) to move into the primitive cell

Returns:

all k-points moved into the primitive cell

Return type:

ndarray

iter(ret_weight: bool = False)[source]

An iterator for the k-points and (possibly) the weights

Parameters:

ret_weight (bool, optional) – if true, also yield the weight for the respective k-point

Yields:

  • kpt (k-point)

  • weight (weight of k-point, only if ret_weight is true.)

property k: ndarray

A list of all k-points (if available)

static merge(bzs, weight_scale: Sequence[float] | float = 1.0, parent=None)[source]

Merge several BrillouinZone objects into one

The merging strategy only stores the new list of k-points and weights. Information retained in the merged objects will not be stored.

Parameters:

  • bzs (list-like of BrillouinZone objects) – each element is a BrillouinZone object with bzs[i].k and bzs[i].weight fields.

  • weight_scale (list-like or float) – these are matched item-wise with bzs and applied to. Internally itertools.zip_longest(fillvalue=weight_scale[-1]) will be used to extend for all bzs.

  • parent (object, optional) – Associated parent in the returned object, will default to bzs[0].parent

Returns:

even if all objects are not BrillouinZone objects the returned object will be.

Return type:

BrillouinZone

classmethod param_circle(parent, N_or_dk: int | float, kR: float, normal, origin, loop=False)[source]

Create a parameterized k-point list where the k-points are generated on a circle around an origin

The generated circle is a perfect circle in the reciprocal space (Cartesian coordinates). To generate a perfect circle in units of the reciprocal lattice vectors one can generate the circle for a diagonal supercell with side-length \(2\pi\), see example below.

Parameters:

  • parent (Lattice, or LatticeChild) – the parent object

  • N_or_dk (int) – number of k-points generated using the parameterization (if an integer), otherwise it specifies the discretization length on the circle (in 1/Ang), If the latter case will use less than 2 points a warning will be raised and the number of points increased to 2.

  • kR (float) – radius of the k-point. In 1/Ang

  • normal (array_like of float) – normal vector to determine the circle plane

  • origin (array_like of float) – origin of the circle used to generate the circular parameterization

  • loop (bool, optional) – whether the first and last point are equal

Examples

>>> lattice = Lattice([1, 1, 10, 90, 90, 60])
>>> bz = BrillouinZone.param_circle(lattice, 10, 0.05, [0, 0, 1], [1./3, 2./3, 0])

To generate a circular set of k-points in reduced coordinates (reciprocal

>>> lattice = Lattice([1, 1, 10, 90, 90, 60])
>>> bz = BrillouinZone.param_circle(lattice, 10, 0.05, [0, 0, 1], [1./3, 2./3, 0])
>>> bz_rec = BrillouinZone.param_circle(2*np.pi, 10, 0.05, [0, 0, 1], [1./3, 2./3, 0])
>>> bz.k[:, :] = bz_rec.k[:, :]
Returns:

with the parameterized k-points.

Return type:

BrillouinZone

Parameters:
static parametrize(parent, func, N: Sequence[int] | int, *args, **kwargs)[source]

Generate a new BrillouinZone object with k-points parameterized via the function func in N separations

Generator of a parameterized Brillouin zone object that contains a parameterized k-point list.

Parameters:

  • parent (Lattice, or LatticeChild) – the object that the returned object will contain as parent

  • func (callable) –

    method that parameterizes the k-points, must at least accept three arguments, 1. parent: object 2. N: total number of k-points 3. i: current index of the k-point (starting from 0)

    the function must return a k-point in 3 dimensions.

  • N (int or list of int) – number of k-points generated using the parameterization, or a list of integers that will be looped over. In this case arguments N and i in func will be lists accordingly.

  • *args – additional arguments passed directly to func

  • **kwargs – additional keyword arguments passed directly to func

Examples

Simple linear k-points

>>> def func(sc, N, i):
...    return [i/N, 0, 0]
>>> bz = BrillouinZone.parametrize(1, func, 10)
>>> assert len(bz) == 10
>>> assert np.allclose(bz.k[-1, :], [9./10, 0, 0])

For double looping, say to create your own grid

>>> def func(sc, N, i):
...    return [i[0]/N[0], i[1]/N[1], 0]
>>> bz = BrillouinZone.parametrize(1, func, [10, 5])
>>> assert len(bz) == 50
plot

Handles all plotting possibilities for a class

property rcell
set_parent(parent)[source]

Update the parent associated to this object

Parameters:

parent (object or array_like) – an object containing cell vectors

tocartesian(k)[source]

Transfer a k-point in reduced coordinates to the Cartesian coordinates

Parameters:

k (list of float) – k-point in reduced coordinates

Returns:

in units of 1/Ang

Return type:

ndarray

toreduced(k)[source]

Transfer a k-point in Cartesian coordinates to the reduced coordinates

Parameters:

k (list of float) – k-point in Cartesian coordinates

Returns:

in units of reciprocal lattice vectors ]-0.5 ; 0.5] (if k is in the primitive cell)

Return type:

ndarray

volume(ret_dim: bool = False, periodic=None)[source]

Calculate the volume of the full Brillouin zone of the parent

This will return the volume depending on the dimensions of the system. Here the dimensions of the system is determined by how many dimensions have auxilliary supercells that can contribute to Brillouin zone integrals. Therefore the returned value will have differing units depending on dimensionality.

Parameters:

  • ret_dim (bool) – also return the dimensionality of the system

  • periodic (array_like of int, optional) – estimate the volume using only the directions indexed by this array. The default value is (self.parent.nsc > 1).nonzero()[0].

Returns:

  • vol – the volume of the Brillouin zone. Units are Ang^D with D being the dimensionality. For 0D it will return 0.

  • dimensionality (int) – the dimensionality of the volume

property weight: ndarray

Weight of the k-points in the BrillouinZone object

write(sile: sisl.typing.SileLike, *args, **kwargs) → None

Writes k-points to a tableSile.

This allows one to pass a tableSile or a file-name.

Parameters:
Return type:

None