RickerWavelet1D

class astropy.modeling.functional_models.RickerWavelet1D(amplitude=1, x_0=0, sigma=1, **kwargs)

Bases: Fittable1DModel

One dimensional Ricker Wavelet model (sometimes known as a “Mexican Hat” model).

Note

See astropy/astropy#9445 for discussions related to renaming of this model.

Parameters:

amplitudefloat

Amplitude

x_0float

Position of the peak

sigmafloat

Width of the Ricker wavelet

Other Parameters:

fixeddict, optional

A dictionary {parameter_name: boolean} of parameters to not be varied during fitting. True means the parameter is held fixed. Alternatively the fixed property of a parameter may be used.

tieddict, optional

A dictionary {parameter_name: callable} of parameters which are linked to some other parameter. The dictionary values are callables providing the linking relationship. Alternatively the tied property of a parameter may be used.

boundsdict, optional

A dictionary {parameter_name: value} of lower and upper bounds of parameters. Keys are parameter names. Values are a list or a tuple of length 2 giving the desired range for the parameter. Alternatively, the min and max properties of a parameter may be used.

eqconslist, optional

A list of functions of length n such that eqcons[j](x0,*args) == 0.0 in a successfully optimized problem.

ineqconslist, optional

A list of functions of length n such that ieqcons[j](x0,*args) >= 0.0 is a successfully optimized problem.

See also

RickerWavelet2D, Box1D, Gaussian1D, Trapezoid1D

Notes

Model formula:

\[f(x) = {A \left(1 - \frac{\left(x - x_{0}\right)^{2}}{\sigma^{2}}\right) e^{- \frac{\left(x - x_{0}\right)^{2}}{2 \sigma^{2}}}}\]

Examples

import numpy as np
import matplotlib.pyplot as plt

from astropy.modeling.models import RickerWavelet1D

plt.figure()
s1 = RickerWavelet1D()
r = np.arange(-5, 5, .01)

for factor in range(1, 4):
    s1.amplitude = factor
    s1.width = factor
    plt.plot(r, s1(r), color=str(0.25 * factor), lw=2)

plt.axis([-5, 5, -2, 4])
plt.show()

(png, svg, pdf)

Attributes Summary

amplitude
input_units	This property is used to indicate what units or sets of units the evaluate method expects, and returns a dictionary mapping inputs to units (or None if any units are accepted).
param_names	Names of the parameters that describe models of this type.
sigma
x_0

Methods Summary

evaluate(x, amplitude, x_0, sigma)

One dimensional Ricker Wavelet model function.

Attributes Documentation

amplitude = Parameter('amplitude', value=1.0)

input_units

param_names = ('amplitude', 'x_0', 'sigma')

Names of the parameters that describe models of this type.

The parameters in this tuple are in the same order they should be passed in when initializing a model of a specific type. Some types of models, such as polynomial models, have a different number of parameters depending on some other property of the model, such as the degree.

When defining a custom model class the value of this attribute is automatically set by the Parameter attributes defined in the class body.

sigma = Parameter('sigma', value=1.0)

x_0 = Parameter('x_0', value=0.0)

Methods Documentation

static evaluate(x, amplitude, x_0, sigma)

One dimensional Ricker Wavelet model function.