WS-Snapshot: an effective algorithm for wide-field and large-scale imaging

The dirty and the difference images and histograms of the difference are shown here for NPS of 1, three scales, with the horizontal and vertical slices of the difference image given, and the vertical coordinates of the difference slices and histograms are taken as log.

Xie Yang-Fan, Wang Feng, Deng Hui, Mei Ying, Lü Ying-He Celeste, Hodosán Gabriella, Stolyarov Vladislav, Smirnov Oleg, Li Xiao-Feng, Cornwell Tim

The Square Kilometre Array (SKA) is the largest radio interferometer under construction in the world. The high accuracy, wide-field, and large size imaging significantly challenge the construction of the Science Data Processor (SDP) of SKA. We propose a hybrid imaging method based on improved W-Stacking and snapshots. The w-range is reduced by fitting the snapshot uv plane, thus effectively enhancing the performance of the improved W-Stacking algorithm. We present a detailed implementation of WS-Snapshot. With full-scale SKA1-LOW simulations, we present the imaging performance and imaging quality results for different parameter cases. The results show that the WS-Snapshot method enables more efficient distributed processing and significantly reduces the computational time overhead within an acceptable accuracy range, which would be crucial for subsequent SKA science studies. Original →