signal.lombscargle

signal.lombscargle is a function in Python's scipy library that computes the Lomb-Scargle periodogram for a given input signal.

The Lomb-Scargle periodogram is a method for estimating the power spectral density of a signal that is unevenly sampled in time. It is commonly used in astronomy to analyze the periodicity of light curves from variable stars.

The function takes in three required arguments: the input time series, the corresponding signal values, and an array of frequencies at which to compute the periodogram. It also has several optional arguments, including the normalization method and the number of terms used in the Fourier series approximation.

The output of signal.lombscargle is an array representing the Lomb-Scargle periodogram at the specified frequencies. The highest values in this array correspond to the most likely periodicities in the input signal.