numina.modeling — Model for fitting

class numina.modeling.enclosed.EnclosedGaussian(amplitude, stddev, **kwargs)

Enclosed Gaussian model

static evaluate(x, amplitude, stddev)

Evaluate the model on some input variables.

static fit_deriv(x, amplitude, stddev)

param_names = ('amplitude', 'stddev')

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 ~astropy.modeling.Parameter attributes defined in the class body.

class numina.modeling.gaussbox.GaussBox(amplitude=1.0, mean=0.0, stddev=1.0, hpix=0.5, **kwargs)

Model for fitting a 1D Gaussina convolved with a square

static evaluate(x, amplitude, mean, stddev, hpix)

Evaluate the model on some input variables.

static fit_deriv(x, amplitude, mean, stddev, hpix)

param_names = ('amplitude', 'mean', 'stddev', 'hpix')

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 ~astropy.modeling.Parameter attributes defined in the class body.

numina.modeling.gaussbox.gauss_box_model(x, amplitude=1.0, mean=0.0, stddev=1.0, hpix=0.5)

Integrate a Gaussian profile.

numina.modeling.gaussbox.gauss_box_model_deriv(x, amplitude=1.0, mean=0.0, stddev=1.0, hpix=0.5)

Derivative of the integral of a Gaussian profile.

numina.modeling.sumofgauss.sum_of_gaussian_factory(N)

Return a model of the sum of N Gaussians and a constant background.