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Performance Evaluation of Baseline-dependent Averaging Based on Full-scale SKA1-LOW Simulation
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作者 Qing-Wen Deng Feng Wang +4 位作者 Hui Deng Ying Mei Jing Li Oleg Smirnov Shao-Guang Guo 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2022年第4期153-159,共7页
The Square Kilometre Array(SKA)is the largest radio interferometer under construction in the world.Its immense amount of visibility data poses a considerable challenge to the subsequent processing by the science data ... The Square Kilometre Array(SKA)is the largest radio interferometer under construction in the world.Its immense amount of visibility data poses a considerable challenge to the subsequent processing by the science data processor(SDP).Baseline dependent averaging(BDA),which reduces the amount of visibility data based on the baseline distribution of the radio interferometer,has become a focus of SKA SDP development.This paper developed and implemented a full-featured BDA module based on Radio Astronomy Simulation,Calibration and Imaging Library(RASCIL).Simulated observations were then performed with RASCIL based on a full-scale SKA1-LOW configuration.The performance of the BDA was systematically investigated and evaluated based on the simulated data.The experimental results confirmed that the amount of visibility data is reduced by about 50%to 85%for different time intervals(Δt_(max)).In addition,differentΔt_(max)have a significant effect on the imaging quality.The smallerΔt_(max)is,the smaller the degradation of imaging quality. 展开更多
关键词 instrumentation:radio interferometers methods:analytical mathematics techniques:astronomical simulations
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