Exponential1D

class astropy.modeling.functional_models.Exponential1D(amplitude=1, tau=1, **kwargs)

Bases: astropy.modeling.Fittable1DModel

One dimensional exponential model.

Parameters

amplitudefloat, optional

taufloat, optional

See also

Logarithmic1D, Gaussian1D

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.
tau

Methods Summary

evaluate(x, amplitude, tau)	Evaluate the model on some input variables.
fit_deriv(x, amplitude, tau)	Derivative with respect to parameters

Attributes Documentation

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

input_units

param_names = ('amplitude', 'tau')

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.

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

Methods Documentation

static evaluate(x, amplitude, tau)

Evaluate the model on some input variables.

static fit_deriv(x, amplitude, tau)

Derivative with respect to parameters