Kavli Affiliate: Feng Wang
| First 5 Authors: Yangfan Xie, Feng Wang, Hui Deng, Ying Mei, Ying-He Celeste Lu
| Summary:
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.
| Search Query: ArXiv Query: search_query=au:”Feng Wang”&id_list=&start=0&max_results=10