Image Subtraction in Fourier Space

Image subtraction is essential for transient detection in time-domain astronomy. The point spread function (PSF), photometric scaling, and sky background generally vary with time across the field-of-view imaging data taken ground-based optical telescopes. algorithms need to match these variations of flux variability. An algorithm that can be fully parallelized highly desirable future surveys. Here we show Saccadic Fast Fourier Transform (SFFT) image differencing. SFFT uses $\delta$-function basis kernel decomposition, performed Space. This brings about a remarkable improvement computational performance an order magnitude compared other published codes. accommodate spatial wide-field data, including PSF, background. However, flexibility may also make it more prone overfitting. has been tested extensively real astronomical by variety Moreover, code allows PSF fitted spline functions.