论文标题
基于满足基线的平均基线依赖性ska1-low模拟的绩效评估
Performance evaluation of baseline-dependent averaging based onfull-scale SKA1-LOW simulation
论文作者
论文摘要
平方公里阵列（SKA）是世界上最大的无线电干涉仪。它的可见性数据大量构成了科学数据处理器（SDP）随后处理的巨大挑战。基线依赖平均（BDA）已成为SKA SDP开发的重点，从而减少了基于无线电干涉仪的基线分布的可见性数据量。本文基于射电天文学模拟，校准和成像库（RASCIL）开发并实施了功能齐全的BDA模块。然后根据全面的SKA1-低配置使用RASCIL进行模拟观测值。根据模拟数据对BDA的性能进行了系统的研究和评估。实验结果表明，对于不同的时间间隔，可见性数据的量减少了约50 \％至85 \％（$ΔT_{max} $）。此外，不同的$ΔT_{max} $对成像质量具有重大影响。 $ΔT_{max} $越小，成像质量的降解越小。
The Square Kilometre Array (SKA) is the largest radio interferometer under construction in the world. Its immense amount of visibility data poses a considerable challenge to the subsequent processing by the science data processor (SDP). Baseline dependent averaging (BDA), which reduces the amount of visibility data based on the baseline distribution of the radio interferometer, has become a focus of SKA SDP development. This paper developed and implemented a full-featured BDA module based on Radio Astronomy Simulation, Calibration and Imaging Library (RASCIL). Simulated observations were then performed with RASCIL based on a full-scale SKA1-LOW configuration. The performance of the BDA was systematically investigated and evaluated based on the simulated data. The experimental results presented that the amount of visibility data is reduced by about 50\% to 85\% for different time intervals ($Δt_{max}$). In addition, different $Δt_{max}$ have a significant effect on the imaging quality. The smaller the $Δt_{max}$, the smaller the degradation of the imaging quality.
