Lomb-Scargle
The Lomb-Scargle method transforms an (unequally-spaced) time series into a power spectrum, using a technique known as the Lomb periodogram. The method was derived by Lomb1 in 1976, with improvements by Scargle2 in 1982. Although the Lomb-Scargle periodogram decomposes the data into a series of sine and cosine functions, it is similar to least-squares ‘statistical’ methods (aiming at minimizing the difference between observed and modeled data). Peranso uses the algorithm defined by Scargle, but optimized using the Horne and Baliunas method3, which scales the periodogram by the total variance of the data, yielding a better estimation of the frequency of the periodic signal. It is a quite powerful method for finding weak periodic signals. The Lomb-Scargle dialog box exists in two forms: a simple form or an extended form (see pictures below). The only difference between both is that the extended form allows to select a different period analysis method. They contain following sections:
Click Apply to start the period calculations. A progress bar pops up and remains visible till all calculations have completed. When done, a new Period Window appears. Close the Period determination dialog box by clicking the Cancel button.
Lomb-Scargle Period determination Extended (1) Lomb, N.R., 1976, Ap&SS, 39, 447 (2) Scargle, J.D., 1982, Ap.J., 263, 835 (3) Horne, J.H., Baliunas, S.L., 1986, ApJ, 302, 757 |