arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.07709astro-ph.EPastro-ph.IM
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Frankenstein:用快速高斯过程在子束分辨率下重建原行星盘亮度轮廓

Frankenstein: Protoplanetary disc brightness profile reconstruction at sub-beam resolution with a rapid Gaussian process

Jeff Jennings, Richard A. Booth, Marco Tazzari, Giovanni P. Rosotti, Cathie J. Clarke

摘要:

对原行星盘中毫米尘埃分布的干涉测量观测现在显示出普遍存在的环隙和环亚结构。它们的识别和准确表征对于探测负责的物理过程至关重要。我们提出了弗兰肯斯坦(弗兰克),一个开源代码,恢复轴对称光盘结构在子光束的分辨率。通过直接拟合亮度,该模型使用快速(<~1分钟)高斯过程非参数地重建光盘的1D径向亮度轮廓。该代码避免了当前方法的限制,该方法通过以降低拟合分辨率为代价经由非线性去卷积从盘图像中提取径向亮度轮廓,或者通过对盘结构的函数形式进行假设以参数化地拟合亮度轮廓来获得径向亮度轮廓。我们使用模拟ALMA观测来量化该方法的内在能力及其作为基线依赖的信噪比的函数的性能。比较的技术,从一个干净的图像轮廓提取,我们激励我们的配合如何准确地恢复光盘结构的子束分辨率。证明该模型的实用性,在拟合真正的高和中等分辨率的观测,我们的结论是提出应用程序,以解决悬而未决的问题,原行星盘的结构和过程。

英文摘要:

Interferometric observations of the mm dust distribution in protoplanetary discs are now showing a ubiquity of annular gap and ring substructures. Their identification and accurate characterization is critical to probing the physical processes responsible. We present Frankenstein (frank), an open source code that recovers axisymmetric disc structures at sub-beam resolution. By fitting the visibilities directly, the model reconstructs a disc's 1D radial brightness profile nonparametrically using a fast (<~1 min) Gaussian process. The code avoids limitations of current methods that obtain the radial brightness profile by either extracting it from the disc image via nonlinear deconvolution at the cost of reduced fit resolution, or by assumptions placed on the functional forms of disc structures to fit the visibilities parametrically. We use mock ALMA observations to quantify the method's intrinsic capability and its performance as a function of baseline-dependent signal-to-noise. Comparing the technique to profile extraction from a CLEAN image, we motivate how our fits accurately recover disc structures at a sub-beam resolution. Demonstrating the model's utility in fitting real high and moderate resolution observations, we conclude by proposing applications to address open questions on protoplanetary disc structure and processes.

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