scarlet2

Main namespace for scarlet2

Classes

ArrayPSF(morphology)	PSF defined by an image array
Box(shape[, origin])	Bounding Box for data array
Component(center, spectrum, morphology[, bbox])	Single component of a hyperspectral model
CorrelatedObservation(data[, psf, wcs, ...])	Content and definition of an observation with pixel correlations
DustComponent(center, spectrum, morphology)	Component with negative exponential model
Frame(bbox[, psf, wcs, channels])	Definition of a view of the sky
GaussianMorphology(size[, ellipticity, shape])	Gaussian radial profile
GaussianPSF(sigma)	Gaussian-shaped PSF
Module()	Scarlet2 base module
Morphology()	Morphology base class
Observation(data, weights[, psf, wcs, ...])	Content and definition of an observation
PairSimilarity(weight[, eps])	Configuration for the pair-similarity regularizer used by fit().
Parameter(node[, name, constraint, prior, ...])	Class representing a single optimizable parameter
Parameterization()	Class to hold the context for the current parameter set
Parameters(base)	Collection class that contains parameters
PointSource(center, spectrum)	Point source model
ProfileMorphology(size[, ellipticity, shape])	Base class for morphologies based on a radial profile
PSF()	PSF base class
Scene(frame)	Model of the celestial scene
Scenery()	Class to hold the context for the current scene
SersicMorphology(n, size[, ellipticity, shape])	Sersic radial profile
Source(center, spectrum, morphology[, bbox])	Source model
Spectrum()	Spectrum base class
Starlet(image, coefficients, generation, ...)	Wavelet transform of a images (2D or 3D) with the 'a trou' algorithm.
StarletMorphology(coeffs)	Morphology in the starlet basis
StaticArraySpectrum(data, bands[, band_selector])	Static (non-variable) source in a transient scene
TransientArraySpectrum(data[, epochs, ...])	Variable source in a transient scene with possible quiescent periods

Functions

stack_observations(observations, model_frame)	Stack observations into a single one on the grid of model_frame
relative_step(x, *args[, factor, minimum])	Step size set at factor times the norm of x
set_validation([state])	Set the global validation mode.