lightkurve.correctors
Telescope data is always affected by noise contributed by the instrument. The lightkurve.correctors sub-package provides classes which offer different strategies to remove such noise. At the core of the package lies the generic .RegressionCorrector class. It uses linear regression to correlate a light curve against a .DesignMatrix of column vectors which are known to correlate with additive noise components.
The CBVCorrector, PLDCorrector, and SFFCorrector classes extend RegressionCorrector by providing the user with pre-configured DesignMatrix objects which are known to be effective at removing different types of noise.
CBVCorrector CBVCorrector.correct CBVCorrector.diagnose
PLDCorrector PLDCorrector.correct PLDCorrector.diagnose PLDCorrector.diagnose_masks
SFFCorrector SFFCorrector.correct SFFCorrector.diagnose SFFCorrector.diagnose_arclength
RegressionCorrector RegressionCorrector.correct RegressionCorrector.diagnose
DesignMatrix DesignMatrixCollection SparseDesignMatrix SparseDesignMatrixCollection
A DesignMatrix has the following attributes:
DesignMatrix.X DesignMatrix.rank DesignMatrix.shape DesignMatrix.values
A DesignMatrix supports the following operations:
DesignMatrix.append_constant DesignMatrix.collect DesignMatrix.copy DesignMatrix.pca DesignMatrix.plot DesignMatrix.plot_priors DesignMatrix.split DesignMatrix.standardize DesignMatrix.to_sparse DesignMatrix.validate
corrector.Corrector