A D-term Modeling Code (DMC) for Simultaneous Calibration and Full-Stokes Imaging of Very Long Baseline Interferometric Data
A D-term Modeling Code (DMC) for Simultaneous Calibration and Full-Stokes Imaging of Very Long Baseline Interferometric Data
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DOI：
10.3847/1538-3881/abe3f8
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发表时间：
2021-02
期刊：
影响因子：
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通讯作者：
D. Pesce
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文献类型：
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作者：
D. Pesce
在本文中，我们提出了 DMC，一种用于超长基线干涉测量数据集偏振成像的模型和相关工具，可同时重建全斯托克斯发射结构以及基于站的增益和泄漏校准项。 DMC 根据后验探索制定成像问题，这是使用哈密顿蒙特卡罗采样实现的。由此产生的后验分布提供了图像结构和数据校准中不确定性的自然量化。我们在合成数据集和真实数据集上运行 DMC，其结果表明其能够准确恢复图像结构和校准量，并评估其相应的不确定性。 DMC的支撑框架是灵活的，其具体实现正在持续开发中。
In this paper we present DMC, a model and associated tool for polarimetric imaging of very long baseline interferometry data sets that simultaneously reconstructs the full-Stokes emission structure along with the station-based gain and leakage calibration terms. DMC formulates the imaging problem in terms of posterior exploration, which is achieved using Hamiltonian Monte Carlo sampling. The resulting posterior distribution provides a natural quantification of uncertainty in both the image structure and the data calibration. We run DMC on both synthetic and real data sets, the results of which demonstrate its ability to accurately recover both the image structure and calibration quantities, as well as to assess their corresponding uncertainties. The framework underpinning DMC is flexible, and its specific implementation is under continued development.