4.7 Article

FRANKENSTEIN: protoplanetary disc brightness profile reconstruction at sub-beam resolution with a rapid Gaussian process

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa1365

关键词

methods: data analysis; techniques: interferometric; planets and satellites: detection; protoplanetary discs; submillimetre: general; submillimetre: planetary systems

资金

  1. Science and Technology Facilities Council (STFC) [ST/S000623/1]
  2. European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant [823823]
  3. Dutch Research Council (NWO) [016.Veni.192.233]
  4. STFC [ST/S000623/1] Funding Source: UKRI

向作者/读者索取更多资源

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 are critical to probing the physical processes responsible. We present FRANKENSTEIN (FRANK), an open source code that recovers axisymmetric disc structures at a sub-beam resolution. By fitting the visibilities directly, the model reconstructs a disc's 1D radial brightness profile non-parametrically using a fast (less than or similar to 1 min) Gaussian process. The code avoids limitations of current methods that obtain the radial brightness profile either by extracting it from the disc image via non-linear 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 Atacama Large Millimeter Array observations to quantify the method's intrinsic capability and its performance as a function of baselinedependent signal-to-noise ratio. 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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