コード例 #1
0
                              x_0=0.5,
                              y_0=1.5,
                              R_0=5.,
                              slope=1.),
    astmodels.Voigt1D(x_0=0.55, amplitude_L=10., fwhm_L=0.5, fwhm_G=0.9),
    astmodels.BlackBody(scale=10.0, temperature=6000. * u.K),
    astmodels.Drude1D(amplitude=10.0, x_0=0.5, fwhm=2.5),
    astmodels.Plummer1D(mass=10.0, r_plum=5.0),
    astmodels.BrokenPowerLaw1D(amplitude=10,
                               x_break=0.5,
                               alpha_1=2.0,
                               alpha_2=3.5),
    astmodels.ExponentialCutoffPowerLaw1D(10, 0.5, 2.0, 7.),
    astmodels.LogParabola1D(
        amplitude=10,
        x_0=0.5,
        alpha=2.,
        beta=3.,
    ),
    astmodels.PowerLaw1D(amplitude=10., x_0=0.5, alpha=2.0),
    astmodels.SmoothlyBrokenPowerLaw1D(amplitude=10.,
                                       x_break=5.0,
                                       alpha_1=2.0,
                                       alpha_2=3.0,
                                       delta=0.5),
    custom_and_analytical_inverse(),
    custom_inputs_outputs(),
]

if HAS_SCIPY:
    test_models.append(
        astmodels.Spline1D(
コード例 #2
0
ファイル: models_registry.py プロジェクト: keflavich/specview
 'GaussianAbsorption1D':
 models.GaussianAbsorption1D(1.0, 1.0, 1.0),
 'Lorentz1D':
 models.Lorentz1D(1.0, 1.0, 1.0),
 'MexicanHat1D':
 models.MexicanHat1D(1.0, 1.0, 1.0),
 'Trapezoid1D':
 models.Trapezoid1D(1.0, 1.0, 1.0, 1.0),
 'Moffat1D':
 models.Moffat1D(1.0, 1.0, 1.0, 1.0),
 'ExponentialCutoffPowerLaw1D':
 models.ExponentialCutoffPowerLaw1D(1.0, 1.0, 1.0, 1.0),
 'BrokenPowerLaw1D':
 models.BrokenPowerLaw1D(1.0, 1.0, 1.0, 1.0),
 'LogParabola1D':
 models.LogParabola1D(1.0, 1.0, 1.0, 1.0),
 'PowerLaw1D':
 models.PowerLaw1D(1.0, 1.0, 1.0),
 'Linear1D':
 models.Linear1D(1.0, 0.0),
 'Const1D':
 models.Const1D(0.0),
 'Redshift':
 models.Redshift(0.0),
 'Scale':
 models.Scale(1.0),
 'Shift':
 models.Shift(0.0),
 'Sine1D':
 models.Sine1D(1.0, 1.0),
 'Chebyshev1D':