quant_met.mean_field.hamiltonians.

BaseHamiltonian

class quant_met.mean_field.hamiltonians.BaseHamiltonian(parameters)

Base class for Hamiltonians.

This abstract class provides the essential framework for defining various Hamiltonians used in solid-state physics. It includes methods for constructing the Hamiltonian based on a set of parameters, calculating properties such as energy bands, conducting derivatives, and diagonalizing the Hamiltonian to obtain eigenstates and eigenvalues. Subclasses should implement methods to provide specific Hamiltonian forms.

Parameters:

parametersquant_met.parameters.hamiltonians.GenericParameters

An object containing the necessary parameters to define the Hamiltonian, including lattice parameters, critical constants, and Hubbard interaction strengths.

Attributes:

namestr

Name or identifier of the Hamiltonian.

betafloat

Inverse temperature (related to thermal excitations).

qnumpy.ndarray

A two-dimensional array defining a momentum offset, typically in reciprocal space.

latticequant_met.geometry.BaseLattice

The lattice structure in which the Hamiltonian is defined.

hubbard_int_orbital_basisnumpy.ndarray

Interaction terms for Hubbard-type models represented in orbital basis.

number_of_bandsint

The total number of bands calculated based on the orbital basis provided.

delta_orbital_basisnumpy.ndarray

An array initialized for the order parameter or pairing potentials.

Methods

bdg_hamiltonian(k)	Generate the Bogoliubov-de Gennes (BdG) Hamiltonian.
bdg_hamiltonian_derivative(k, direction)	Calculate the derivative of the BdG Hamiltonian.
calculate_bandstructure(k[, overlaps])	Calculate the band structure.
calculate_density_of_states(k)	Calculate the density of states (DOS).
calculate_spectral_gap(k)	Calculate the spectral gap.
diagonalize_bdg(k)	Diagonalizes the BdG Hamiltonian.
diagonalize_nonint(k)	Diagonalizes the normal state Hamiltonian.
from_file(filename)	Initialize a Hamiltonian from a previously saved HDF5 file.
gap_equation(k)	Calculate the gap equation.
get_parameters_model()	Return the specific parameters model for the subclass.
hamiltonian(k)	Return the normal state Hamiltonian.
hamiltonian_derivative(k, direction)	Calculate the spatial derivative of the Hamiltonian.
save(filename)	Save the Hamiltonian configuration as an HDF5 file.
setup_lattice(parameters)	Set up the lattice based on the provided parameters.