ParametricModel

class paintbox.ParametricModel(wave, params, templates)

Bases: paintbox.sed.PaintboxBase

Interpolation of SED model templates parametrically.

This class allows the linear interpolation of SED templates, such as SSP models, based on a table of parameters and their SEDs.

Warning: The linear interpolation is currently based on scipy.RegularGridInterpolator for better performance with large number of input models, thus the input data must be in the form of a regular grid.

Parameters

wave: ndarray, astropy.units.Quantity

Wavelenght array of the model.

params: astropy.table.Table

Table with parameters of the models.

templates: 2D ndarray

The SED templates with dimensions (len(params), len(wave))

Attributes Summary

limits

Lower and upper limits of the parameters.

Methods Summary

__call__(theta)	Call for interpolated model at a given point theta.
gradient(theta)	Gradient of models at a given point theta.

Attributes Documentation

limits

Lower and upper limits of the parameters.

Methods Documentation

__call__(theta)

Call for interpolated model at a given point theta.

Parameters

theta: ndarray

Point where the model is computed, with parameters in the same order of parnames. Points outside of the convex hull of the models (as defined in the limits) are set to zero.

Returns

SED model at location theta.

gradient(theta)

Gradient of models at a given point theta.

Gradients are computed with simple finite difference. If the input point is among the points used for interpolation, the gradient is not defined, returning zero instead.

Parameters

theta: ndarray

Point where the gradient of the model is computed, with parameters in the same order of parnames. Points outside of the convex hull of the models are set to zero.

eps: float or ndarray, optional

Step used in the finite difference calculation. Default is 1e-6.