## CLEANest (Foster)

The CLEANest and SLICK methods calculate the power spectrum of unequally-spaced data using an advanced implementation of the Date Compensated Discrete Fourier Transform (DCDFT). CLEANest is a particularly effective technique for detecting and describing multi periodic signals. Peranso implements the CLEANest algorithm as described by Grant Foster1. In addition, Peranso implements the SLICK method, which is a very useful tool for extracting multiple signal components from a given data set. SLICK iteratively searches for multiple frequencies in a given signal, and attempts to find a "best-fitting ensemble" of frequencies. SLICK will adjust each "found" frequency such that overall signal strength is maximized. Both methods are combined in one convenient Peranso dialog box, called the CLEANest Workbench. A CLEANest calculation is started from the CLEANest Period Determination dialog box, which is similar to the Lomb-Scargle dialog box. Subsequent refinements can be made iteratively using the CLEANest Workbench. Prominent periods of the Period Window appear as peaks. Remark (1) Foster, G., 1995, Astron. J., 109, 1889 |