Example #1
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def test_dynamical_matrix():
    A = tm.Layer().dynamical_matrix(1. + 1.j, 0., "s-wave")
    B = tm.Layer().dynamical_matrix(1. + 1.j, 0., "p-wave")
    C = np.array([[
        1.,
        1.,
    ], [1. + 1.j, -1. - 1.j]])

    testing.assert_allclose(A, B)
    testing.assert_allclose(A, C)
    testing.assert_allclose(B, C)
Example #2
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def test_propagation_matrix():
    kx = 2.e5 + 0.j
    d = np.pi / (2 * kx)
    P_actual = tm.Layer().propagation_matrix(kx, d)
    P_desired = np.array([[-1.j, 0.], [0., 1.j]])

    testing.assert_allclose(P_actual, P_desired)
Example #3
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def test_make_datapoints():
    layer = tm.Layer(material="Air")
    layer.refractive_index = [1.0]
    layer.extinction_coeff = [0.0]
    num_new_wavelengths = 3
    lmbda = np.linspace(1.0, 10.0, num_new_wavelengths)
    layer.make_datapoints(lmbda)
    assert len(layer.wavelengths) == num_new_wavelengths
Example #4
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def test_add_layer():
    lmbda = 1.e-5
    thickness = 3 * lmbda
    new_layer = tm.Layer(material="New Material", thickness=1.e-6)
    new_layer.wavelengths = lmbda
    s = make_structure(3, lmbda, thickness)
    s.add_layer(new_layer)
    assert s.layers[-1].material == "New Material"
Example #5
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def make_structure(num_layers, lmbda, thickness):
    structure = tm.Structure()
    for i in range(num_layers):
        material = "Material_" + str(i)
        test_layer = tm.Layer(material=material, thickness=thickness)
        test_layer.wavelengths = [lmbda]
        structure.add_layer(test_layer)
    return structure
Example #6
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def test_make_datapoints_interpolation():
    # Test how much interpolation alters precision compared to original data.
    layer = tm.Layer()
    layer.get_data_from_csv("Au.csv")
    old_wavelengths = layer.wavelengths
    old_refractive = layer.refractive_index
    old_extinction = layer.extinction_coeff

    new_wavelengths = np.linspace(0.2, 15.0, 10000)
    print(new_wavelengths)
    layer.make_datapoints(new_wavelengths)
    new_refractive = layer.refractive_index
    new_extinction = layer.extinction_coeff

    # Get the array indices for a particular wavelength
    r_old1 = np.where(np.isclose(old_wavelengths, 0.2))[0][0]
    r_old2 = np.where(np.isclose(old_wavelengths, 1.0))[0][0]
    r_old3 = np.where(np.isclose(old_wavelengths, 2.0))[0][0]
    r_old4 = np.where(np.isclose(old_wavelengths, 12.711))[0][0]

    r_new1 = np.where(np.isclose(new_wavelengths, 0.2))[0][0]
    r_new2 = np.where(np.isclose(new_wavelengths, 1.0, atol=1e-2))[0][0]
    r_new3 = np.where(np.isclose(new_wavelengths, 2.0, atol=1e-2))[0][0]
    r_new4 = np.where(np.isclose(new_wavelengths, 12.7, atol=1e-2))[0][0]

    testing.assert_almost_equal(old_wavelengths[0], 0.19077)
    testing.assert_almost_equal(old_wavelengths[264], 1.0164)

    testing.assert_almost_equal(new_refractive[r_new1],
                                old_refractive[r_old1],
                                decimal=3)
    testing.assert_almost_equal(new_refractive[r_new2],
                                old_refractive[r_old2],
                                decimal=2)
    testing.assert_almost_equal(new_refractive[r_new3],
                                old_refractive[r_old3],
                                decimal=2)
    testing.assert_almost_equal(new_refractive[r_new4],
                                old_refractive[r_old4],
                                decimal=1)

    testing.assert_almost_equal(new_extinction[r_new1],
                                old_extinction[r_old1],
                                decimal=2)
    testing.assert_almost_equal(new_extinction[r_new2],
                                old_extinction[r_old2],
                                decimal=1)
    testing.assert_almost_equal(new_extinction[r_new3],
                                old_extinction[r_old3],
                                decimal=1)
    testing.assert_almost_equal(new_extinction[r_new4],
                                old_extinction[r_old4],
                                decimal=1)
Example #7
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yaml_config = None
with pkg_resources.path(default, 'fabry-perot.yaml') as yml:
    yaml_config = os.path.abspath(yml)

test_fp = tm.Structure()
test_fp.load_struct_from_config(yaml_config)

lmbda = 1.e-5
thickness = 3 * lmbda

num_layers = 100
layers = []

test_layer = tm.Layer(material='glass',
                      thickness=thickness,
                      wavelengths=[lmbda],
                      n_real=[1.0],
                      n_imag=[0.j],
                      num_points=1)

for i in range(num_layers):
    layers.append(test_layer)

test_structure = tm.Structure(layers=layers, wavelengths=[lmbda], theta=[0.])

# def test_t_r_conservation():
#     # No absorption
#     M = test_structure.calculate_transfer_matrix(1. + 0.j, lmbda, 0., 's-wave')
#     T, R = test_structure.calculate_t_r(M)

#     M_fp = test_fp.calculate_transfer_matrix(1. + 0.j, lmbda, 0., 's-wave')
#     T_fp, R_fp = test_fp.calculate_t_r(M_fp)
Example #8
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# Test Layer class

import numpy as np
import pytest
from numpy import testing
from pistachio import transfer_matrix as tm

lmbda = 1.0  # μm
thickness = 3 * lmbda
num_layers = 100

test_layer = tm.Layer(material="Air", thickness=thickness, num_points=1)


def test_make_datapoints():
    layer = tm.Layer(material="Air")
    layer.refractive_index = [1.0]
    layer.extinction_coeff = [0.0]
    num_new_wavelengths = 3
    lmbda = np.linspace(1.0, 10.0, num_new_wavelengths)
    layer.make_datapoints(lmbda)
    assert len(layer.wavelengths) == num_new_wavelengths


def test_make_datapoints_interpolation():
    # Test how much interpolation alters precision compared to original data.
    layer = tm.Layer()
    layer.get_data_from_csv("Au.csv")
    old_wavelengths = layer.wavelengths
    old_refractive = layer.refractive_index
    old_extinction = layer.extinction_coeff