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0.0.91

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guanjihuan
2022-06-06 01:06:36 +08:00
parent 3406ea8abd
commit 42da58e338
2 changed files with 24 additions and 24 deletions
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2
PyPI/setup.cfg
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@@ -1,7 +1,7 @@
[metadata] [metadata]
# replace with your username: # replace with your username:
name = guan name = guan
version = 0.0.90 version = 0.0.91
author = guanjihuan author = guanjihuan
author_email = guanjihuan@163.com author_email = guanjihuan@163.com
description = An open source python package description = An open source python package

46
PyPI/src/guan/__init__.py
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@@ -367,52 +367,52 @@ def sigma_z():
## Kronecker product of Pauli matrices ## Kronecker product of Pauli matrices
def sigma_00(): def sigma_00():
return np.kron(sigma_0(), sigma_0()) return np.kron(guan.sigma_0(), guan.sigma_0())
def sigma_0x(): def sigma_0x():
return np.kron(sigma_0(), sigma_x()) return np.kron(guan.sigma_0(), guan.sigma_x())
def sigma_0y(): def sigma_0y():
return np.kron(sigma_0(), sigma_y()) return np.kron(guan.sigma_0(), guan.sigma_y())
def sigma_0z(): def sigma_0z():
return np.kron(sigma_0(), sigma_z()) return np.kron(guan.sigma_0(), guan.sigma_z())
def sigma_x0(): def sigma_x0():
return np.kron(sigma_x(), sigma_0()) return np.kron(guan.sigma_x(), guan.sigma_0())
def sigma_xx(): def sigma_xx():
return np.kron(sigma_x(), sigma_x()) return np.kron(guan.sigma_x(), guan.sigma_x())
def sigma_xy(): def sigma_xy():
return np.kron(sigma_x(), sigma_y()) return np.kron(guan.sigma_x(), guan.sigma_y())
def sigma_xz(): def sigma_xz():
return np.kron(sigma_x(), sigma_z()) return np.kron(guan.sigma_x(), guan.sigma_z())
def sigma_y0(): def sigma_y0():
return np.kron(sigma_y(), sigma_0()) return np.kron(guan.sigma_y(), guan.sigma_0())
def sigma_yx(): def sigma_yx():
return np.kron(sigma_y(), sigma_x()) return np.kron(guan.sigma_y(), guan.sigma_x())
def sigma_yy(): def sigma_yy():
return np.kron(sigma_y(), sigma_y()) return np.kron(guan.sigma_y(), guan.sigma_y())
def sigma_yz(): def sigma_yz():
return np.kron(sigma_y(), sigma_z()) return np.kron(guan.sigma_y(), guan.sigma_z())
def sigma_z0(): def sigma_z0():
return np.kron(sigma_z(), sigma_0()) return np.kron(guan.sigma_z(), guan.sigma_0())
def sigma_zx(): def sigma_zx():
return np.kron(sigma_z(), sigma_x()) return np.kron(guan.sigma_z(), guan.sigma_x())
def sigma_zy(): def sigma_zy():
return np.kron(sigma_z(), sigma_y()) return np.kron(guan.sigma_z(), guan.sigma_y())
def sigma_zz(): def sigma_zz():
return np.kron(sigma_z(), sigma_z()) return np.kron(guan.sigma_z(), guan.sigma_z())
@@ -1387,7 +1387,7 @@ def calculate_conductance_with_fermi_energy_array(fermi_energy_array, h00, h01,
for fermi_energy in fermi_energy_array: for fermi_energy in fermi_energy_array:
if print_show == 1: if print_show == 1:
print(fermi_energy) print(fermi_energy)
conductance_array[i0] = np.real(calculate_conductance(fermi_energy, h00, h01, length)) conductance_array[i0] = np.real(guan.calculate_conductance(fermi_energy, h00, h01, length))
i0 += 1 i0 += 1
return conductance_array return conductance_array
@@ -1419,7 +1419,7 @@ def calculate_conductance_with_disorder_intensity_array(fermi_energy, h00, h01,
if print_show == 1: if print_show == 1:
print(disorder_intensity) print(disorder_intensity)
for times in range(calculation_times): for times in range(calculation_times):
conductance_array[i0] = conductance_array[i0]+np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_concentration=disorder_concentration, length=length)) conductance_array[i0] = conductance_array[i0]+np.real(guan.calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_concentration=disorder_concentration, length=length))
i0 += 1 i0 += 1
conductance_array = conductance_array/calculation_times conductance_array = conductance_array/calculation_times
return conductance_array return conductance_array
@@ -1432,7 +1432,7 @@ def calculate_conductance_with_disorder_concentration_array(fermi_energy, h00, h
if print_show == 1: if print_show == 1:
print(disorder_concentration) print(disorder_concentration)
for times in range(calculation_times): for times in range(calculation_times):
conductance_array[i0] = conductance_array[i0]+np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_concentration=disorder_concentration, length=length)) conductance_array[i0] = conductance_array[i0]+np.real(guan.calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_concentration=disorder_concentration, length=length))
i0 += 1 i0 += 1
conductance_array = conductance_array/calculation_times conductance_array = conductance_array/calculation_times
return conductance_array return conductance_array
@@ -1445,7 +1445,7 @@ def calculate_conductance_with_scattering_length_array(fermi_energy, h00, h01, l
if print_show == 1: if print_show == 1:
print(length) print(length)
for times in range(calculation_times): for times in range(calculation_times):
conductance_array[i0] = conductance_array[i0]+np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_concentration=disorder_concentration, length=length)) conductance_array[i0] = conductance_array[i0]+np.real(guan.calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_concentration=disorder_concentration, length=length))
i0 += 1 i0 += 1
conductance_array = conductance_array/calculation_times conductance_array = conductance_array/calculation_times
return conductance_array return conductance_array
@@ -1584,8 +1584,8 @@ def get_classified_k_velocity_u_and_f(fermi_energy, h00, h01):
lambda_right = np.zeros(dim, dtype=complex); lambda_left = np.zeros(dim, dtype=complex) lambda_right = np.zeros(dim, dtype=complex); lambda_left = np.zeros(dim, dtype=complex)
u_right = np.zeros((dim, dim), dtype=complex); u_left = np.zeros((dim, dim), dtype=complex) u_right = np.zeros((dim, dim), dtype=complex); u_left = np.zeros((dim, dim), dtype=complex)
for dim0 in range(2*dim): for dim0 in range(2*dim):
if_active = if_active_channel(k_of_channel[dim0]) if_active = guan.if_active_channel(k_of_channel[dim0])
if if_active_channel(k_of_channel[dim0]) == 1: if guan.if_active_channel(k_of_channel[dim0]) == 1:
direction = np.sign(velocity_of_channel[dim0]) direction = np.sign(velocity_of_channel[dim0])
else: else:
direction = np.sign(np.imag(k_of_channel[dim0])) direction = np.sign(np.imag(k_of_channel[dim0]))
@@ -1648,7 +1648,7 @@ def calculate_scattering_matrix(fermi_energy, h00, h01, length=100):
reflection_matrix = np.dot(np.dot(np.linalg.inv(u_left), np.dot(green_00_n, temp)-np.identity(dim)), u_right) reflection_matrix = np.dot(np.dot(np.linalg.inv(u_left), np.dot(green_00_n, temp)-np.identity(dim)), u_right)
for dim0 in range(dim): for dim0 in range(dim):
for dim1 in range(dim): for dim1 in range(dim):
if_active = if_active_channel(k_right[dim0])*if_active_channel(k_right[dim1]) if_active = guan.if_active_channel(k_right[dim0])*guan.if_active_channel(k_right[dim1])
if if_active == 1: if if_active == 1:
transmission_matrix[dim0, dim1] = math.sqrt(np.abs(velocity_right[dim0]/velocity_right[dim1])) * transmission_matrix[dim0, dim1] transmission_matrix[dim0, dim1] = math.sqrt(np.abs(velocity_right[dim0]/velocity_right[dim1])) * transmission_matrix[dim0, dim1]
reflection_matrix[dim0, dim1] = math.sqrt(np.abs(velocity_left[dim0]/velocity_right[dim1]))*reflection_matrix[dim0, dim1] reflection_matrix[dim0, dim1] = math.sqrt(np.abs(velocity_left[dim0]/velocity_right[dim1]))*reflection_matrix[dim0, dim1]