lightkurve.periodogram.Periodogram.flatten#
- Periodogram.flatten(method='logmedian', filter_width=0.01, return_trend=False)[source]#
Estimates the Signal-To-Noise (SNR) spectrum by dividing out an estimate of the noise background.
This method divides the power spectrum by a background estimated using a moving filter in log10 space by default. For details on the
methodandfilter_widthparameters, seePeriodogram.smooth()Dividing the power through by the noise background produces a spectrum with no units of power. Since the signal is divided through by a measure of the noise, we refer to this as a
Signal-To-Noisespectrum.- Parameters
- methodstr, one of ‘boxkernel’ or ‘logmedian’
Background estimation method passed on to
Periodogram.smooth(). Defaults to ‘logmedian’.- filter_widthfloat
If
method= ‘boxkernel’, this is the width of the smoothing filter in units of frequency. If method =logmedian, this is the width of the smoothing filter in log10(frequency) space.- return_trendbool
If True, then the background estimate, alongside the SNR spectrum, will be returned.
- Returns
- snr_spectrum
Periodogramobject Returns a periodogram object where the power is an estimate of the signal-to-noise of the spectrum, creating by dividing the powers with a simple estimate of the noise background using a smoothing filter.
- bkg
Periodogramobject The estimated power spectrum of the background noise. This is only returned if
return_trend = True.
- snr_spectrum