Periodogram

Constructor

Periodogram(frequency, power[, nyquist, ...])	Generic class to represent a power spectrum (frequency vs power data).
LombScarglePeriodogram.from_lightcurve(lc[, ...])	Creates a Periodogram from a LightCurve using the Lomb-Scargle method in astropy's LombScargle.
BoxLeastSquaresPeriodogram.from_lightcurve(lc, ...)	Creates a Periodogram from a LightCurve using the Box Least Squares (BLS) method in astropy's BoxLeastSquares.

Attributes

Periodogram.frequency	The array of frequency values.
Periodogram.frequency_at_max_power	Frequency value corresponding to the highest peak in the periodogram.
Periodogram.period	The array of periods, i.e. 1/frequency.
Periodogram.period_at_max_power	Period value corresponding to the highest peak in the periodogram.
Periodogram.power	The array of power values.
Periodogram.max_power	Power of the highest peak in the periodogram.

Methods

Periodogram.bin([binsize, method])	Bins the power spectrum.
Periodogram.copy()	Returns a copy of the Periodogram object.
Periodogram.flatten([method, filter_width, ...])	Estimates the Signal-To-Noise (SNR) spectrum by dividing out an estimate of the noise background.
Periodogram.plot([scale, ax, xlabel, ...])	Plots the Periodogram.
Periodogram.show_properties()	Prints a summary of the non-callable attributes of the Periodogram object.
Periodogram.smooth([method, filter_width])	Smooths the power spectrum using the 'boxkernel' or 'logmedian' method.
Periodogram.to_seismology(**kwargs)	Returns a Seismology object to analyze the periodogram.
Periodogram.to_table()	Exports the Periodogram as an Astropy Table.
BoxLeastSquaresPeriodogram.compute_stats([...])	Computes commonly used vetting statistics for a transit model.
BoxLeastSquaresPeriodogram.get_transit_model([...])	Computes the transit model using the BLS, returns a lightkurve.LightCurve

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