tape.analysis.light_curve

Module Contents

Classes

LightCurve

This base class is meant to support various analysis routines and be

class LightCurve(times: numpy.ndarray, fluxes: numpy.ndarray, errors: numpy.ndarray, minimum_observations: int = 0)

This base class is meant to support various analysis routines and be extended as needed. (Hence it’s location in the analysis package.)

The base class ensures that the data for a single lightcurve is well formed. Namely that the input data is all of the same length, with NaN’s removed and that there are enough observations to perform a given analysis.

_process_input_data()

Cleaning and validation occurs here, ideally by calling sub-methods for specific checks and cleaning tasks.

_filter_nans()

Mask out any NaN values from time, flux and error arrays

_check_input_data_size_is_equal()

Make sure that the three input np.arrays have the same size

_check_input_data_length_is_sufficient()

Make sure that we have enough data after cleaning and filtering to be able to perform Structure Function calculations.