Seeing the Unseen: A Method to Detect Unresolved Rings in Protoplanetary Disks
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While high-resolution Atacama Large Millimeter/submillimeter Array (ALMA) observations reveal a wealth of substructure in protoplanetary disks, they remain incapable of resolving the types of small-scale dust structures predicted, for example, by numerical simulations of the streaming instability. In this article, we propose a method to find evidence for unresolved, optically thick dusty rings in protoplanetary disks. We demonstrate that, in presence of unresolved rings, the brightness of an inclined disk exhibits a distinctive emission peak at the minor axis. Furthermore, the azimuthal brightness depends on both the geometry of the rings and the dust optical properties; we can therefore use the azimuthal brightness variations to both detect unresolved rings and probe their properties. By analyzing the azimuthal brightness in the test case of ringlike substructures formed by streaming instability, we show that the resulting peak is likely detectable by ALMA for typical disk parameters. Moreover, we present an analytic model that not only qualitatively but also quantitatively reproduces the peak found in the simulations, validating its applicability to infer the presence of unresolved rings in observations and characterize their optical properties and shape. This will contribute to the identification of disk regions where streaming instability (and thus planet formation) is occurring.
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Acknowledgements: We thank the anonymous referee for the helpful comments and suggestions that improved the quality of this letter. C.E.S. acknowledges support from Peterhouse Cambridge and the Institute of Astronomy (University of Cambridge). C.E.S. and G.P.R. acknowledge support from the European Union (ERC Starting Grant DiscEvol, project No. 101039651) and from Fondazione Cariplo, grant No. 2022–1217. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them. R.A.B. acknowledges support from the Royal Society in the form of a University Research Fellowship. A.R. has been supported by the UK Science and Technology research Council (STFC) via the consolidated grant ST/W000997/1. This work has also been supported by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 823823 (DUSTBUSTERS). This work was in part performed using the Cambridge Service for Data Driven Discovery (CSD3), part of which is operated by the University of Cambridge Research Computing on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The DiRAC component of CSD3 was funded by BEIS capital funding via STFC capital grants ST/P002307/1 and ST/R002452/1, and STFC operations grant ST/R00689X/1.
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1538-4357
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Science and Technology Facilities Council (ST/R00689X/1)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (823823)
STFC (ST/W000997/1)
Science and Technology Facilities Council (ST/T001372/1)
Science and Technology Facilities Council (ST/T001348/1)
Science and Technology Facilities Council (ST/S002545/1)

