astmodels.Sine1D(amplitude=10., frequency=0.5, phase=1.),
astmodels.Trapezoid1D(amplitude=10., x_0=0.5, width=5., slope=1.),
astmodels.TrapezoidDisk2D(amplitude=10.,
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()
]
registry = {
'Box1D':
models.Box1D(1.0, 1.0, 1.0),
'Gaussian1D':
models.Gaussian1D(1.0, 1.0, 1.0),
'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),
'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':