Detecting and Measuring Sources at the Noise Limit

In the first part of this paper, a computationally fast source detection method is discussed that is linear in the data and is about as sensitive as nonlinear, iterative methods. This method, described briefly here, is based on applying weights to a running data window (in two dimensions). Practical limitations, such as the window size and resolution, and further considerations regarding this source detection method are examined.