Update GJH_source_code.py

This commit is contained in:
guanjihuan 2021-05-21 21:16:58 +08:00
parent 86eb358a2e
commit 67a4eede1d

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@ -16,25 +16,78 @@ def test():
# basic functions
## Pauli matrices
def sigma_0():
return np.eye(2)
def sigma_x():
return np.array([[0, 1],[1, 0]])
def sigma_y():
return np.array([[0, -1j],[1j, 0]])
def sigma_z():
return np.array([[1, 0],[0, -1]])
## Kronecker product of Pauli matrices
def sigma_00():
return np.kron(sigma_0(), sigma_0())
def sigma_0x():
return np.kron(sigma_0(), sigma_x())
def sigma_0y():
return np.kron(sigma_0(), sigma_y())
def sigma_0z():
return np.kron(sigma_0(), sigma_z())
# hermitian hamiltonian of tight binding model
def sigma_x0():
return np.kron(sigma_x(), sigma_0())
def sigma_xx():
return np.kron(sigma_x(), sigma_x())
def sigma_xy():
return np.kron(sigma_x(), sigma_y())
def sigma_xz():
return np.kron(sigma_x(), sigma_z())
def sigma_y0():
return np.kron(sigma_y(), sigma_0())
def sigma_yx():
return np.kron(sigma_y(), sigma_x())
def sigma_yy():
return np.kron(sigma_y(), sigma_y())
def sigma_yz():
return np.kron(sigma_y(), sigma_z())
def sigma_z0():
return np.kron(sigma_z(), sigma_0())
def sigma_zx():
return np.kron(sigma_z(), sigma_x())
def sigma_zy():
return np.kron(sigma_z(), sigma_y())
def sigma_zz():
return np.kron(sigma_z(), sigma_z())
# Hermitian Hamiltonian of tight binding model
def finite_size_along_one_direction(N, on_site=0, hopping=1, period=0):
on_site = np.array(on_site)
@ -159,7 +212,7 @@ def three_dimensional_fourier_transform_for_cubic_lattice(k1, k2, k3, unit_cell,
# hamiltonian of graphene lattice
# Hamiltonian of graphene lattice
def hopping_along_zigzag_direction_for_graphene(N):
hopping = np.zeros((4*N, 4*N), dtype=complex)
@ -251,7 +304,7 @@ def calculate_eigenvector(hamiltonian):
# calculate green functions
# calculate Green functions
def green_function(fermi_energy, hamiltonian, broadening, self_energy=0):
if np.array(hamiltonian).shape==():
@ -658,7 +711,7 @@ def print_or_write_scattering_matrix(fermi_energy, h00, h01, length=100, on_prin
# calculate chern number
# calculate Chern number
def calculate_chern_number_for_square_lattice(hamiltonian_function, precision=100):
if np.array(hamiltonian_function(0, 0)).shape==():
@ -694,7 +747,7 @@ def calculate_chern_number_for_square_lattice(hamiltonian_function, precision=10
# calculate wilson loop
# calculate Wilson loop
def calculate_wilson_loop(hamiltonian_function, k_min=-pi, k_max=pi, precision=100):
k_array = np.linspace(k_min, k_max, precision)