lightkurve.correctors.SFFCorrector

class lightkurve.correctors.SFFCorrector(lc)

Special case of RegressionCorrector where the DesignMatrix includes the target’s centroid positions.

The design matrix also contains columns representing a spline in time design to capture the intrinsic, long-term variability of the target.

Parameters

lcLightCurve

The light curve that needs to be corrected.

__init__(lc)

Constructor method.

The constructor shall:

• accept all data required to run the correction (e.g. light curves, target pixel files, engineering data).

• instantiate the original_lc property.

Methods

__init__(lc)	Constructor method.
compute_overfit_metric(**kwargs)	Measures the degree of over-fitting in the correction.
compute_underfit_metric(**kwargs)	Measures the degree of under-fitting the correction.
correct([centroid_col, centroid_row, ...])	Find the best fit correction for the light curve.
diagnose()	Returns a diagnostic plot which visualizes what happened during the most recent call to correct().
diagnose_arclength()	Returns a diagnostic plot which visualizes arclength vs flux from most recent call to correct().
diagnose_priors()	Returns a diagnostic plot visualizing how the best-fit coefficients compare against the priors.

Attributes

cadence_mask
corrected_lc
dmc	Shorthand for self.design_matrix_collection.
original_lc

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