Clean Algorithm

The Clean Algorithm is a method used in data analysis to identify and extract meaningful signals from complex, overlapping data sets, such as astronomical images. It systematically detects the brightest features, models them, and then subtracts these models from the original data. This process repeats, revealing fainter signals that were initially hidden by brighter ones. By doing so, the algorithm helps scientists distinguish genuine features from noise or artifacts, enabling a clearer understanding of the underlying structures or sources within the data.