Schematic presentation of the detection map construction. (a) Average n_λ number of images around each of the image slices (cyan) from the continuum-subtracted cube (dark green cube). (b) Spatially smooth each of the averaged image with Gaussian kernel. The algorithm will increase the kernel size (σ₀ < σ₁) to smooth the spaxels that not passing the T_S/N, S/N threshold, at each steps until the maximum, σ_max, has been reached. (c) Combine the adaptively smoothed images into the smoothed cube (lighter green cube). (d) Check the smoothed spectrum (long black rectangular box) at location (x, y). The position is preserved when there are n_c consecutive number of pixels selected with signal detection (red ’S’) in previous steps. (f) Construct the detection map.