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0.0.34

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guanjihuan 2021-12-21 13:33:19 +08:00
parent 8a3234ba03
commit 54ea831b24
3 changed files with 11 additions and 5 deletions
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4
API_reference.py
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@ -54,8 +54,8 @@ hamiltonian = guan.hamiltonian_of_haldane_model_in_quasi_one_dimension(k, N=10,
# calculate band structures # Source code: https://py.guanjihuan.com/source-code/calculate_band_structures_and_wave_functions
eigenvalue = guan.calculate_eigenvalue(hamiltonian)
eigenvalue_array = guan.calculate_eigenvalue_with_one_parameter(x_array, hamiltonian_function)
eigenvalue_array = guan.calculate_eigenvalue_with_two_parameters(x_array, y_array, hamiltonian_function)
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)
eigenvector = guan.calculate_eigenvector(hamiltonian)
vector_target = guan.find_vector_with_the_same_gauge_with_binary_search(vector_target, vector_ref, show_error=1, show_times=0, show_phase=0, n_test=10001, precision=1e-6)
vector = guan.find_vector_with_fixed_gauge_by_making_one_component_real(vector, precision=0.005, index=None)

2
PyPI/setup.cfg
View File

@ -1,7 +1,7 @@
[metadata]
# replace with your username:
name = guan
version = 0.0.33
version = 0.0.34
author = guanjihuan
author_email = guanjihuan@163.com
description = An open source python package

10
PyPI/src/guan/calculate_band_structures_and_wave_functions.py
View File

@ -14,7 +14,7 @@ def calculate_eigenvalue(hamiltonian):
eigenvalue, eigenvector = np.linalg.eigh(hamiltonian)
return eigenvalue
def calculate_eigenvalue_with_one_parameter(x_array, hamiltonian_function):
def calculate_eigenvalue_with_one_parameter(x_array, hamiltonian_function, print_show=0):
dim_x = np.array(x_array).shape[0]
i0 = 0
if np.array(hamiltonian_function(0)).shape==():
@ -27,13 +27,15 @@ def calculate_eigenvalue_with_one_parameter(x_array, hamiltonian_function):
dim = np.array(hamiltonian_function(0)).shape[0]
eigenvalue_array = np.zeros((dim_x, dim))
for x0 in x_array:
if print_show==1:
print(x0)
hamiltonian = hamiltonian_function(x0)
eigenvalue, eigenvector = np.linalg.eigh(hamiltonian)
eigenvalue_array[i0, :] = eigenvalue
i0 += 1
return eigenvalue_array
def calculate_eigenvalue_with_two_parameters(x_array, y_array, hamiltonian_function):
def calculate_eigenvalue_with_two_parameters(x_array, y_array, hamiltonian_function, print_show=0, print_show_more=0):
dim_x = np.array(x_array).shape[0]
dim_y = np.array(y_array).shape[0]
if np.array(hamiltonian_function(0,0)).shape==():
@ -52,7 +54,11 @@ def calculate_eigenvalue_with_two_parameters(x_array, y_array, hamiltonian_funct
i0 = 0
for y0 in y_array:
j0 = 0
if print_show==1:
print(y0)
for x0 in x_array:
if print_show_more==1:
print(x0)
hamiltonian = hamiltonian_function(x0, y0)
eigenvalue, eigenvector = np.linalg.eigh(hamiltonian)
eigenvalue_array[i0, j0, :] = eigenvalue