Model¶

class
Model
(lattice, *args)¶ Builds a Hamiltonian from lattice, shape, symmetry and modifier parameters
The most important attributes are
system
andhamiltonian
which are constructed based on the input parameters. TheSystem
contains structural data like site positions. The tightbinding Hamiltonian is a sparse matrix in thescipy.sparse.csr_matrix
format.Parameters: lattice :
Lattice
The lattice specification.
*args
Can be any of: shape, symmetry or various modifiers. Note that:
 There can be at most one shape and at most one symmetry. Shape and symmetry can be composed as desired, but physically impossible scenarios will result in an empty system.
 Any number of modifiers can be added. Adding the same modifier more than once is allowed: this will usually multiply the modifier’s effect.
Attributes
hamiltonian
Hamiltonian sparse matrix in the scipy.sparse.csr_matrix
formatlattice
Lattice
specificationleads
List of Lead
objectsmodifiers
List of all modifiers applied to this model onsite_map
StructureMap
of the onsite energyshape
Polygon
orFreeformShape
objectsystem
Structural data like site positions and hoppings, see System
for detailsMethods
add
(*args)Add parameter(s) to the model attach_lead
(direction, contact)Attach a lead to the main system eval
()plot
([num_periods, lead_length, axes])Plot the structure of the model: sites, hoppings, boundaries and leads report
()Return a string with information about the last build set_wave_vector
(k: numpy.ndarray)Set the wave vector for periodic models structure_map
(data)Return a StructureMap
of the model system mapped to the specifieddata
tokwant
()Convert this model into kwant format (finalized) 
add
(*args)¶ Add parameter(s) to the model
Parameters: *args
Any of: shape, symmetry, modifiers. Tuples and lists of parameters are expanded automatically, so
M.add(p0, [p1, p2])
is equivalent toM.add(p0, p1, p2)
.

attach_lead
(direction, contact)¶ Attach a lead to the main system
Not valid for 1D lattices.
Parameters: direction : int
Lattice vector direction of the lead. Must be one of: 1, 2, 3, 1, 2, 3. For example,
direction=2
would create a lead which intersects the main system in the \(a_2\) lattice vector direction. Settingdirection=2
would create a lead on the opposite side of the system, but along the same lattice vector.contact :
Shape
The place where the lead should contact the main system. For a 2D lattice it’s just a
line()
describing the intersection of the lead and the system. For a 3D lattice it’s the area described by a 2DFreeformShape
.

eval
()¶

plot
(num_periods=1, lead_length=6, axes='xy', **kwargs)¶ Plot the structure of the model: sites, hoppings, boundaries and leads
Parameters: num_periods : int
Number of times to repeat the periodic boundaries.
lead_length : int
Number of times to repeat the lead structure.
axes : str
The spatial axes to plot. E.g. ‘xy’, ‘yz’, etc.
**kwargs
Additional plot arguments as specified in
structure_plot_properties()
.

report
()¶ Return a string with information about the last build

set_wave_vector
(k: numpy.ndarray)¶ Set the wave vector for periodic models
Parameters: k : array_like
Wave vector in reciprocal space.

structure_map
(data)¶ Return a
StructureMap
of the model system mapped to the specifieddata
Parameters: data : Optional[array_like]
Data array to map to site positions.
Returns: StructureMap

tokwant
()¶ Convert this model into kwant format (finalized)
This is intended for compatibility with the kwant package: http://kwantproject.org/.
Returns: kwant.system.System
Finalized system which can be used with kwant compute functions.

hamiltonian
¶ Hamiltonian sparse matrix in the
scipy.sparse.csr_matrix
format

modifiers
¶ List of all modifiers applied to this model

onsite_map
¶ StructureMap
of the onsite energy

shape
¶ Polygon
orFreeformShape
object