lightkurve.periodogram.Periodogram

class lightkurve.periodogram.Periodogram(frequency, power, nyquist=None, label=None, targetid=None, default_view='frequency', meta={})

Generic class to represent a power spectrum (frequency vs power data).

The Periodogram class represents a power spectrum, with values of frequency on the x-axis (in any frequency units) and values of power on the y-axis (in units of flux^2 / [frequency units]).

Attributes

frequencyQuantity

Array of frequencies as an AstroPy Quantity object.

powerQuantity

Array of power-spectral-densities. The Quantity must have units of flux^2 / freq_unit, where freq_unit is the unit of the frequency attribute.

nyquistfloat

The Nyquist frequency of the lightcurve. In units of freq_unit, where freq_unit is the unit of the frequency attribute.

labelstr

Human-friendly object label, e.g. “KIC 123456789”.

targetidstr

Identifier of the target.

default_view“frequency” or “period”

Should plots be shown in frequency space or period space by default?

metadict

Free-form metadata associated with the Periodogram.

__init__(frequency, power, nyquist=None, label=None, targetid=None, default_view='frequency', meta={})

Methods

__init__(frequency, power[, nyquist, label, ...])
bin([binsize, method])	Bins the power spectrum.
copy()	Returns a copy of the Periodogram object.
flatten([method, filter_width, return_trend])	Estimates the Signal-To-Noise (SNR) spectrum by dividing out an estimate of the noise background.
plot([scale, ax, xlabel, ylabel, title, ...])	Plots the Periodogram.
show_properties()	Prints a summary of the non-callable attributes of the Periodogram object.
smooth([method, filter_width])	Smooths the power spectrum using the 'boxkernel' or 'logmedian' method.
to_seismology(**kwargs)	Returns a Seismology object to analyze the periodogram.
to_table()	Exports the Periodogram as an Astropy Table.

Attributes

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

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lightkurve.periodogram.LombScarglePeriodogram.from_lightcurve