示例#1
0
    def testGMRES(self):
        # Parameter input ----------------------------
        vacuum_wavelength = 550
        beam_polar_angle = np.pi * 7 / 8
        beam_azimuthal_angle = np.pi * 1 / 3
        beam_polarization = 0
        beam_amplitude = 1
        beam_neff_array = np.linspace(0, 2, 501, endpoint=False)
        beam_waist = 1000
        beam_focal_point = [200, 200, 200]
        #neff_waypoints = [0, 0.5, 0.8 - 0.01j, 2 - 0.01j, 2.5, 5]
        #neff_discr = 1e-2
        # --------------------------------------------

        #coord.set_default_k_parallel(vacuum_wavelength, neff_waypoints, neff_discr)

        # initialize particle object
        sphere1 = part.Sphere(position=[100, 100, 150], refractive_index=2.4 + 0.0j, radius=110, l_max=4, m_max=4)
        sphere2 = part.Sphere(position=[-100, -100, 250], refractive_index=1.9 + 0.0j, radius=120, l_max=3, m_max=3)
        sphere3 = part.Sphere(position=[-200, 100, 300], refractive_index=1.7 + 0.0j, radius=90, l_max=3, m_max=3)
        particle_list = [sphere1, sphere2, sphere3]

        # initialize layer system object
        lay_sys = lay.LayerSystem([0, 400, 0], [2, 1.4, 2])

        # initialize initial field object
        init_fld = init.GaussianBeam(vacuum_wavelength=vacuum_wavelength, polar_angle=beam_polar_angle,
                                     azimuthal_angle=beam_azimuthal_angle, polarization=beam_polarization,
                                     amplitude=beam_amplitude, reference_point=beam_focal_point, beam_waist=beam_waist,
                                     k_parallel_array=beam_neff_array * flds.angular_frequency(vacuum_wavelength))

        # initialize simulation object
        simulation_lu = simul.Simulation(layer_system=lay_sys, particle_list=particle_list, initial_field=init_fld,
                                         solver_type='LU', log_to_terminal='nose2' not in sys.modules.keys())  # suppress output if called by nose
        simulation_lu.run()
        coefficients_lu = particle_list[0].scattered_field.coefficients

        simulation_gmres = simul.Simulation(layer_system=lay_sys, particle_list=particle_list, initial_field=init_fld,
                                            solver_type='gmres', solver_tolerance=1e-5,
                                            log_to_terminal=(
                                                not sys.argv[0].endswith('nose2')))  # suppress output if called by nose
        simulation_gmres.run()
        coefficients_gmres = particle_list[0].scattered_field.coefficients

        np.testing.assert_allclose(np.linalg.norm(coefficients_lu), np.linalg.norm(coefficients_gmres), rtol=1e-5)
示例#2
0
def read_input_yaml(filename):
    """Parse input file
    
    Args:
        filename (str):    relative path and filename of input file
        
    Returns:
        smuthi.simulation.Simulation object containing the params of the input file
    """
    print('Reading ' + os.path.abspath(filename))
    with open(filename, 'r') as input_file:
        input_data = yaml.load(input_file.read())

    cu.enable_gpu(input_data.get('enable GPU', False))

    # wavelength
    wl = float(input_data['vacuum wavelength'])

    # set default coordinate arrays
    angle_unit = input_data.get('angle unit')
    if angle_unit == 'degree':
        angle_factor = np.pi / 180
    else:
        angle_factor = 1
    angle_resolution = input_data.get(
        'angular resolution', np.pi / 180 / angle_factor) * angle_factor
    coord.default_azimuthal_angles = np.arange(
        0, 2 * np.pi + angle_resolution / 2, angle_resolution)
    coord.default_polar_angles = np.arange(0, np.pi + angle_resolution / 2,
                                           angle_resolution)

    neff_resolution = float(input_data.get('n_effective resolution', 1e-2))
    neff_max = input_data.get('max n_effective')
    if neff_max is None:
        ref_ind = [
            float(n) for n in input_data['layer system']['refractive indices']
        ]
        neff_max = max(np.array(ref_ind).real) + 1
    neff_imag = float(input_data.get('n_effective imaginary deflection', 5e-2))
    coord.set_default_k_parallel(vacuum_wavelength=wl,
                                 neff_resolution=neff_resolution,
                                 neff_max=neff_max,
                                 neff_imag=neff_imag)

    # initialize simulation
    lookup_resolution = input_data.get('coupling matrix lookup resolution',
                                       None)
    if lookup_resolution is not None and lookup_resolution <= 0:
        lookup_resolution = None

    simulation = smuthi.simulation.Simulation(
        solver_type=input_data.get('solver type', 'LU'),
        solver_tolerance=float(input_data.get('solver tolerance', 1e-4)),
        store_coupling_matrix=input_data.get('store coupling matrix', True),
        coupling_matrix_lookup_resolution=lookup_resolution,
        coupling_matrix_interpolator_kind=input_data.get(
            'interpolation order', 'linear'),
        input_file=filename,
        length_unit=input_data.get('length unit'),
        output_dir=input_data.get('output folder'),
        save_after_run=input_data.get('save simulation'))

    # particle collection
    particle_list = []
    particle_input = input_data['scattering particles']
    if isinstance(particle_input, str):
        particle_type = 'sphere'
        with open(particle_input, 'r') as particle_specs_file:
            for line in particle_specs_file:
                if len(line.split()) > 0:
                    if line.split()[-1] == 'spheres':
                        particle_type = 'sphere'
                    elif line.split()[-1] == 'spheroids':
                        particle_type = 'spheroid'
                    elif line.split()[-1] == 'cylinders':
                        particle_type = 'finite cylinder'
                    if not line.split()[0] == '#':
                        numeric_line_data = [float(x) for x in line.split()]
                        pos = numeric_line_data[:3]
                        if particle_type == 'sphere':
                            r = numeric_line_data[3]
                            n = numeric_line_data[4] + 1j * numeric_line_data[5]
                            l_max = int(numeric_line_data[6])
                            m_max = int(numeric_line_data[7])
                            particle_list.append(
                                part.Sphere(position=pos,
                                            refractive_index=n,
                                            radius=r,
                                            l_max=l_max,
                                            m_max=m_max))
                        if particle_type == 'spheroid':
                            c = numeric_line_data[3]
                            a = numeric_line_data[4]
                            beta = numeric_line_data[5]
                            alpha = numeric_line_data[6]
                            n = numeric_line_data[7] + 1j * numeric_line_data[8]
                            l_max = int(numeric_line_data[9])
                            m_max = int(numeric_line_data[10])
                            particle_list.append(
                                part.Spheroid(position=pos,
                                              polar_angle=beta,
                                              azimuthal_angle=beta,
                                              refractive_index=n,
                                              semi_axis_c=c,
                                              semi_axis_a=a,
                                              l_max=l_max,
                                              m_max=m_max))
                        if particle_type == 'finite cylinder':
                            r = numeric_line_data[3]
                            h = numeric_line_data[4]
                            beta = numeric_line_data[5]
                            alpha = numeric_line_data[6]
                            n = numeric_line_data[7] + 1j * numeric_line_data[8]
                            l_max = int(numeric_line_data[9])
                            m_max = int(numeric_line_data[10])
                            particle_list.append(
                                part.FiniteCylinder(position=pos,
                                                    polar_angle=beta,
                                                    azimuthal_angle=beta,
                                                    refractive_index=n,
                                                    cylinder_radius=r,
                                                    cylinder_height=h,
                                                    l_max=l_max,
                                                    m_max=m_max))
    else:
        for prtcl in input_data['scattering particles']:
            n = (float(prtcl['refractive index']) +
                 1j * float(prtcl['extinction coefficient']))
            pos = [
                float(prtcl['position'][0]),
                float(prtcl['position'][1]),
                float(prtcl['position'][2])
            ]
            l_max = int(prtcl['l_max'])
            m_max = int(prtcl.get('m_max', l_max))
            if prtcl['shape'] == 'sphere':
                r = float(prtcl['radius'])
                particle_list.append(
                    part.Sphere(position=pos,
                                refractive_index=n,
                                radius=r,
                                l_max=l_max,
                                m_max=m_max))
            else:
                nfmds_settings = prtcl.get('NFM-DS settings', {})
                use_ds = nfmds_settings.get('use discrete sources', True)
                nint = nfmds_settings.get('nint', 200)
                nrank = nfmds_settings.get('nrank', l_max + 2)
                t_matrix_method = {
                    'use discrete sources': use_ds,
                    'nint': nint,
                    'nrank': nrank
                }
                polar_angle = prtcl.get('polar angle', 0)
                azimuthal_angle = prtcl.get('azimuthal angle', 0)

                if prtcl['shape'] == 'spheroid':
                    c = float(prtcl['semi axis c'])
                    a = float(prtcl['semi axis a'])
                    particle_list.append(
                        part.Spheroid(position=pos,
                                      polar_angle=polar_angle,
                                      azimuthal_angle=azimuthal_angle,
                                      refractive_index=n,
                                      semi_axis_a=a,
                                      semi_axis_c=c,
                                      l_max=l_max,
                                      m_max=m_max,
                                      t_matrix_method=t_matrix_method))
                elif prtcl['shape'] == 'finite cylinder':
                    h = float(prtcl['cylinder height'])
                    r = float(prtcl['cylinder radius'])
                    particle_list.append(
                        part.FiniteCylinder(position=pos,
                                            polar_angle=polar_angle,
                                            azimuthal_angle=azimuthal_angle,
                                            refractive_index=n,
                                            cylinder_radius=r,
                                            cylinder_height=h,
                                            l_max=l_max,
                                            m_max=m_max,
                                            t_matrix_method=t_matrix_method))
                else:
                    raise ValueError(
                        'Currently, only spheres, spheroids and finite cylinders are implemented'
                    )
    simulation.particle_list = particle_list

    # layer system
    thick = [float(d) for d in input_data['layer system']['thicknesses']]
    ref_ind = [
        float(n) for n in input_data['layer system']['refractive indices']
    ]
    ext_coeff = [
        float(n) for n in input_data['layer system']['extinction coefficients']
    ]
    ref_ind = np.array(ref_ind) + 1j * np.array(ext_coeff)
    ref_ind = ref_ind.tolist()
    simulation.layer_system = lay.LayerSystem(thicknesses=thick,
                                              refractive_indices=ref_ind)

    # initial field
    infld = input_data['initial field']
    if infld['type'] == 'plane wave':
        a = float(infld.get('amplitude', 1))
        pol_ang = angle_factor * float(infld['polar angle'])
        az_ang = angle_factor * float(infld['azimuthal angle'])
        if infld['polarization'] == 'TE':
            pol = 0
        elif infld['polarization'] == 'TM':
            pol = 1
        else:
            raise ValueError('polarization must be "TE" or "TM"')
        ref = [
            float(infld.get('reference point', [0, 0, 0])[0]),
            float(infld.get('reference point', [0, 0, 0])[1]),
            float(infld.get('reference point', [0, 0, 0])[2])
        ]
        initial_field = init.PlaneWave(vacuum_wavelength=wl,
                                       polar_angle=pol_ang,
                                       azimuthal_angle=az_ang,
                                       polarization=pol,
                                       amplitude=a,
                                       reference_point=ref)
    elif infld['type'] == 'Gaussian beam':
        a = float(infld['amplitude'])
        pol_ang = angle_factor * float(infld['polar angle'])
        az_ang = angle_factor * float(infld['azimuthal angle'])
        if infld['polarization'] == 'TE':
            pol = 0
        elif infld['polarization'] == 'TM':
            pol = 1
        else:
            raise ValueError('polarization must be "TE" or "TM"')
        ref = [
            float(infld['focus point'][0]),
            float(infld['focus point'][1]),
            float(infld['focus point'][2])
        ]
        ang_res = infld.get('angular resolution',
                            np.pi / 180 / ang_fac) * ang_fac
        bet_arr = np.arange(0, np.pi / 2, ang_res)
        if pol_ang <= np.pi:
            kparr = np.sin(bet_arr) * simulation.layer_system.wavenumber(
                layer_number=0, vacuum_wavelength=wl)
        else:
            kparr = np.sin(bet_arr) * simulation.layer_system.wavenumber(
                layer_number=-1, vacuum_wavelength=wl)
        wst = infld['beam waist']
        aarr = np.concatenate([np.arange(0, 2 * np.pi, ang_res), [2 * np.pi]])
        initial_field = init.GaussianBeam(vacuum_wavelength=wl,
                                          polar_angle=pol_ang,
                                          azimuthal_angle=az_ang,
                                          polarization=pol,
                                          beam_waist=wst,
                                          k_parallel_array=kparr,
                                          azimuthal_angles_array=aarr,
                                          amplitude=a,
                                          reference_point=ref)
    elif infld['type'] == 'dipole source':
        pos = [float(infld['position'][i]) for i in range(3)]
        mom = [float(infld['dipole moment'][i]) for i in range(3)]
        initial_field = init.DipoleSource(vacuum_wavelength=wl,
                                          dipole_moment=mom,
                                          position=pos)
    elif infld['type'] == 'dipole collection':
        initial_field = init.DipoleCollection(vacuum_wavelength=wl)
        dipoles = infld['dipoles']
        for dipole in dipoles:
            pos = [float(dipole['position'][i]) for i in range(3)]
            mom = [float(dipole['dipole moment'][i]) for i in range(3)]
            dip = init.DipoleSource(vacuum_wavelength=wl,
                                    dipole_moment=mom,
                                    position=pos)
            initial_field.append(dip)
    simulation.initial_field = initial_field

    # post processing
    simulation.post_processing = pp.PostProcessing()
    if input_data.get('post processing'):
        for item in input_data['post processing']:
            if item['task'] == 'evaluate far field':
                simulation.post_processing.tasks.append(item)
            elif item['task'] == 'evaluate near field':
                simulation.post_processing.tasks.append(item)

    return simulation
beta = 0
alpha = 0.2 * np.pi
pol = 1
rS = [100, -200, 300]
laysys = smuthi.layers.LayerSystem(thicknesses=[0, 0],
                                   refractive_indices=[1, 1])
particle = smuthi.particles.Sphere(position=rS, l_max=3, m_max=3)
particle_list = [particle]
al_ar = np.linspace(0, 2 * np.pi, 1000)
kp_ar = np.linspace(0, 0.99999, 1000) * smuthi.fields.angular_frequency(ld)
bw = 4000
ref = [-100, 100, 200]
gauss_beam = init.GaussianBeam(vacuum_wavelength=ld,
                               polar_angle=beta,
                               azimuthal_angle=alpha,
                               polarization=pol,
                               amplitude=A,
                               reference_point=ref,
                               k_parallel_array=kp_ar,
                               beam_waist=bw)
particle.initial_field = gauss_beam.spherical_wave_expansion(particle, laysys)


def test_SWE_coefficients_against_prototype():
    aI = particle.initial_field.coefficients
    ai0 = 0.4040275 - 1.6689055j
    ai9 = -0.0115840 + 0.0107125j
    ai20 = -3.1855342e-04 - 7.7089434e-04j
    print(abs((aI[0] - ai0) / ai0), abs((aI[9] - ai9) / ai9),
          abs((aI[20] - ai20) / ai20))
    assert abs((aI[0] - ai0) / ai0) < 1e-5
    assert abs((aI[9] - ai9) / ai9) < 1e-5
w12 = coup.direct_coupling_block(vacuum_wavelength, sphere1, sphere2, lay_sys)

phi13 = np.arctan2(sphere1.position[1] - sphere3.position[1],
                   sphere1.position[0] - sphere3.position[0])
rho13 = np.sqrt(
    sum([(sphere1.position[i] - sphere3.position[i])**2 for i in range(3)]))
wr13 = coup.layer_mediated_coupling_block(vacuum_wavelength, sphere1, sphere3,
                                          lay_sys)
w13 = coup.direct_coupling_block(vacuum_wavelength, sphere1, sphere3, lay_sys)

# initialize initial field object
init_fld = init.GaussianBeam(vacuum_wavelength=vacuum_wavelength,
                             polar_angle=beam_polar_angle,
                             azimuthal_angle=beam_azimuthal_angle,
                             polarization=beam_polarization,
                             amplitude=beam_amplitude,
                             reference_point=beam_focal_point,
                             beam_waist=beam_waist,
                             k_parallel_array=beam_neff_array *
                             coord.angular_frequency(vacuum_wavelength))

# initialize simulation object
simulation_direct = simul.Simulation(layer_system=lay_sys,
                                     particle_list=particle_list,
                                     initial_field=init_fld,
                                     solver_type='LU',
                                     store_coupling_matrix=True,
                                     log_to_terminal=False)
simulation_direct.run()
coefficients_direct = particle_list[0].scattered_field.coefficients