lomb-scargle-periodogram

To detect periodic signals in unevenly sampled time series, compute a Lomb-Scargle periodogram. This method identifies periodic variations by evaluating the power spectrum across different frequencies, returning the period with maximum power.

Yes, you can set a specific period search range for astronomical light curves by defining minimum_period and maximum_period parameters. This tailors the Lomb-Scargle computation to focus on expected physical timescales.

The Lomb-Scargle periodogram is used in astronomy to detect periodic signals in unevenly sampled time series. It facilitates the analysis of stellar rotation, pulsations, and eclipsing binaries by identifying dominant periodic variations.

Yes, the Lomb-Scargle method works with irregular observation cadences. It is specifically designed to handle uneven sampling in time series data, ensuring accurate period detection without requiring uniformly spaced observations.

To find the period of maximum power in a radial velocity time series, apply the Lomb-Scargle periodogram. The computation evaluates the data and directly returns the period at maximum power along with its associated power value.