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version 0.0.49

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guanjihuan
2022-01-19 19:47:41 +08:00
parent 2aa37ea40a
commit 0b8cf206f7
11 changed files with 161 additions and 161 deletions
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API_Reference/API_Reference.py
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@@ -22,6 +22,11 @@ sigma_z0 = guan.sigma_z0()
sigma_zx = guan.sigma_zx()
sigma_zy = guan.sigma_zy()
sigma_zz = guan.sigma_zz()
# Fourier transform
hamiltonian = guan.one_dimensional_fourier_transform(k, unit_cell, hopping)
hamiltonian = guan.two_dimensional_fourier_transform_for_square_lattice(k1, k2, unit_cell, hopping_1, hopping_2)
hamiltonian = guan.three_dimensional_fourier_transform_for_cubic_lattice(k1, k2, k3, unit_cell, hopping_1, hopping_2, hopping_3)
b1 = guan.calculate_one_dimensional_reciprocal_lattice_vector(a1)
b1, b2 = guan.calculate_two_dimensional_reciprocal_lattice_vectors(a1, a2)
b1, b2, b3 = guan.calculate_three_dimensional_reciprocal_lattice_vectors(a1, a2, a3)
@@ -29,11 +34,6 @@ b1 = guan.calculate_one_dimensional_reciprocal_lattice_vector_with_sympy(a1)
b1, b2 = guan.calculate_two_dimensional_reciprocal_lattice_vectors_with_sympy(a1, a2)
b1, b2, b3 = guan.calculate_three_dimensional_reciprocal_lattice_vectors_with_sympy(a1, a2, a3)
# Fourier transform
hamiltonian = guan.one_dimensional_fourier_transform(k, unit_cell, hopping)
hamiltonian = guan.two_dimensional_fourier_transform_for_square_lattice(k1, k2, unit_cell, hopping_1, hopping_2)
hamiltonian = guan.three_dimensional_fourier_transform_for_cubic_lattice(k1, k2, k3, unit_cell, hopping_1, hopping_2, hopping_3)
# Hamiltonian of finite size systems
hamiltonian = guan.finite_size_along_one_direction(N, on_site=0, hopping=1, period=0)
hamiltonian = guan.finite_size_along_two_directions_for_square_lattice(N1, N2, on_site=0, hopping_1=1, hopping_2=1, period_1=0, period_2=0)
@@ -52,7 +52,7 @@ hamiltonian = guan.hamiltonian_of_graphene_with_zigzag_in_quasi_one_dimension(k,
hamiltonian = guan.hamiltonian_of_haldane_model(k1, k2, M=2/3, t1=1, t2=1/3, phi=pi/4, a=1/sqrt(3))
hamiltonian = guan.hamiltonian_of_haldane_model_in_quasi_one_dimension(k, N=10, M=2/3, t1=1, t2=1/3, phi=pi/4)
# calculate band structures
# band structures and wave functions
eigenvalue = guan.calculate_eigenvalue(hamiltonian)
eigenvalue_array = guan.calculate_eigenvalue_with_one_parameter(x_array, hamiltonian_function, print_show=0)
eigenvalue_array = guan.calculate_eigenvalue_with_two_parameters(x_array, y_array, hamiltonian_function, print_show=0, print_show_more=0)