guan-0.0.27
This commit is contained in:
		| @@ -75,13 +75,13 @@ def calculate_conductance_with_fermi_energy_array(fermi_energy_array, h00, h01, | ||||
|         i0 += 1 | ||||
|     return conductance_array | ||||
|  | ||||
| def calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_density=1.0, length=100): | ||||
| def calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_concentration=1.0, length=100): | ||||
|     right_self_energy, left_self_energy = self_energy_of_lead(fermi_energy, h00, h01) | ||||
|     dim = np.array(h00).shape[0] | ||||
|     for ix in range(length): | ||||
|         disorder = np.zeros((dim, dim)) | ||||
|         for dim0 in range(dim): | ||||
|             if np.random.uniform(0, 1)<=disorder_density: | ||||
|             if np.random.uniform(0, 1)<=disorder_concentration: | ||||
|                 disorder[dim0, dim0] = np.random.uniform(-disorder_intensity, disorder_intensity) | ||||
|         if ix == 0: | ||||
|             green_nn_n = green_function(fermi_energy, h00+disorder, broadening=0, self_energy=left_self_energy) | ||||
| @@ -97,29 +97,35 @@ def calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensi | ||||
|     conductance = np.trace(np.dot(np.dot(np.dot(left_self_energy, green_0n_n), right_self_energy), green_0n_n.transpose().conj())) | ||||
|     return conductance | ||||
|  | ||||
| def calculate_conductance_with_disorder_intensity_array(fermi_energy, h00, h01, disorder_intensity_array, disorder_density=1.0, length=100): | ||||
| def calculate_conductance_with_disorder_intensity_array(fermi_energy, h00, h01, disorder_intensity_array, disorder_concentration=1.0, length=100, calculation_times=1): | ||||
|     dim = np.array(disorder_intensity_array).shape[0] | ||||
|     conductance_array = np.zeros(dim) | ||||
|     i0 = 0 | ||||
|     for disorder_intensity_0 in disorder_intensity_array: | ||||
|         conductance_array[i0] = np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity_0, disorder_density=disorder_density, length=length)) | ||||
|         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_0, disorder_concentration=disorder_concentration, length=length)) | ||||
|         i0 += 1 | ||||
|     conductance_array = conductance_array/calculation_times | ||||
|     return conductance_array | ||||
|  | ||||
| def calculate_conductance_with_disorder_density_array(fermi_energy, h00, h01, disorder_density_array,disorder_intensity=2.0, length=100): | ||||
|     dim = np.array(disorder_density_array).shape[0] | ||||
| def calculate_conductance_with_disorder_concentration_array(fermi_energy, h00, h01, disorder_concentration_array,disorder_intensity=2.0, length=100, calculation_times=1): | ||||
|     dim = np.array(disorder_concentration_array).shape[0] | ||||
|     conductance_array = np.zeros(dim) | ||||
|     i0 = 0 | ||||
|     for disorder_density_0 in disorder_density_array: | ||||
|         conductance_array[i0] = np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_density=disorder_density_0, length=length)) | ||||
|     for disorder_concentration_0 in disorder_concentration_array: | ||||
|         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_0, length=length)) | ||||
|         i0 += 1 | ||||
|     conductance_array = conductance_array/calculation_times | ||||
|     return conductance_array | ||||
|  | ||||
| def calculate_conductance_with_scattering_length_array(fermi_energy, h00, h01, length_array, disorder_intensity=2.0, disorder_density=1.0): | ||||
| def calculate_conductance_with_scattering_length_array(fermi_energy, h00, h01, length_array, disorder_intensity=2.0, disorder_concentration=1.0, calculation_times=1): | ||||
|     dim = np.array(length_array).shape[0] | ||||
|     conductance_array = np.zeros(dim) | ||||
|     i0 = 0 | ||||
|     for length_0 in length_array: | ||||
|         conductance_array[i0] = np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_density=disorder_density, length=length_0)) | ||||
|         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_0)) | ||||
|         i0 += 1 | ||||
|     conductance_array = conductance_array/calculation_times | ||||
|     return conductance_array | ||||
		Reference in New Issue
	
	Block a user