作为无线电干涉成像保真度评估工具的Bootstrap Resistance的进一步评价
Further evaluation of bootstrap resampling as a tool for radio-interferometric imaging fidelity assessment
摘要：
我们报告了一个更广泛的评估统计引导rescue方法作为一种工具，在无线电干涉测量像素级校准和成像保真度评估。像素级成像保真度评估是一个具有挑战性的问题，重要的价值，它在强大的科学解释干涉图像，增强自动流水线减少系统需要扩大用户社区为这些仪器，并了解leadingedge方向相关的校准和成像的挑战，为未来的望远镜，如平方公里阵列。这种新的计算方法现在是可能的，因为在长期依赖性和当代高性能计算资源的可用性能的数据的统计响应的进步。我们扩大我们以前的数值评估，以跨越更广泛的域子集在模拟图像保真度和源亮度分布形态。如前所述，我们评估了自举响应方法对直接蒙特卡罗模拟的统计性能。我们发现基于模型和子样本的自助方法继续显示出显着的承诺，具有挑战性的问题，干涉成像quantityassessment，在更广泛的域子集进行评估时。我们报告其测量的统计性能和指导方针，他们的使用和应用在实践中。我们还研究了在本研究中使用的基础偏振自校准算法的性能在一个范围内的视差角覆盖。
英文摘要：
We report on a broader evaluation of statistical bootstrap resampling methods as a tool for pixel-level calibration and imaging fidelity assessment in radio interferometry. Pixel-level imaging fidelity assessment is a challenging problem, important for the value it holds in robust scientific interpretation of interferometric images, enhancement of automated pipeline reduction systems needed to broaden the user community for these instruments, and understanding leadingedge direction-dependent calibration and imaging challenges for future telescopes such as the Square Kilometer Array. This new computational approach is now possible because of advances in statistical resampling for data with long-range dependence and the available performance of contemporary high-performance computing resources. We expand our earlier numerical evaluation to span a broader domain subset in simulated image fidelity and source brightness distribution morphologies. As before, we evaluate the statistical performance of the bootstrap resampling methods against direct Monte Carlo simulation. We find both model-based and subsample bootstrap methods to continue to show significant promise for the challenging problem of interferometric imaging fidelityassessment, when evaluated over the broader domain subset. We report on their measured statistical performance and guidelines for their use and application in practice. We also examine the performance of the underlying polarization self-calibration algorithm used in this study over a range of parallactic angle coverage.
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