A super-resolution analysis of the DSHARP survey: Substructure is common in the inner 30 au
Jeff Jennings, Richard A. Booth, Marco Tazzari, Cathie J. Clarke,, Giovanni P. Rosotti

TL;DR
This study uses super-resolution analysis to reveal that substructures in protoplanetary discs are more common and detailed than previously observed with standard imaging, showing that inner disc features are often underestimated.
Contribution
The paper demonstrates that super-resolution techniques significantly improve the detection and characterization of substructures in protoplanetary discs beyond traditional CLEAN imaging.
Findings
Super-resolution reveals inner disc substructures within 30 au that are not visible in CLEAN images.
High contrast gaps are wider and deeper in super-resolution profiles, indicating more prominent features.
Inner disc features are more common than previously thought, due to resolution limitations of standard imaging.
Abstract
The DSHARP survey evidenced the ubiquity of substructure in the mm dust distribution of large, bright protoplanetary discs. Intriguingly, these datasets have yet higher resolution information that is not recovered in a CLEAN image. We first show that the intrinsic performance of the CLEAN algorithm is resolution-limited. Then analyzing all 20 DSHARP sources using the 1D, super-resolution code Frankenstein (frank), we accurately fit the 1D visibilities to a mean factor of 4.3 longer baseline than the Fourier transform of the CLEAN images and a factor of 3.0 longer baseline than the transform of the CLEAN component models. This yields a higher resolution brightness profile for each source, identifying new substructure interior to 30 au in multiple discs; resolving known gaps to be deeper, wider, and more structured; and known rings to be narrower and brighter. Across the survey, high…
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