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Olivia Wu

Publications and source records attributed to Olivia Wu.

2 recordsLinked to original sources

Using Ringed Disks to Determine Fundamental Parameters of Planet Formation

Two non-dimensional parameters, Stokes number (St) and turbulent $α$, critically control the early stage of planet formation. In spite of their importance, these two numbers are notoriously difficult to obtain and remain largely unconstrained, except in ringed disks. In particular, E. J. Lee (2024) showed that ringed disks can be uniquely leveraged to derive local St and $α$ through a simple model combining dust radial equation of motion with the measured distribution of dust masses in Class 0/I disks. We apply their model to the currently known census of ringed disks, finding 19 viable rings in 10 systems, which more than doubles the previous sample. Similar to previous findings, we obtain generally low St$\sim 10^{-4}$--$10^{-2}$ and $α\sim 10^{-5}$--10$^{-2}$ across a wide range of system parameters, consistent with all the disks that we study to be rich in gas and the dust-to-gas ratio of the rings to be too low to generate planetesimals. Disks around low mass host stars likely have leakier traps, broadly consistent with massive, gap-carving giants to be rare around low mass hosts, if the rings are generated by planets.

astro-ph.EP↗

MetaBayesDTA: Codeless Bayesian meta-analysis of test accuracy, with or without a gold standard

Introduction: Despite their applicability, statistical models used for the meta-analysis of test accuracy require specialised knowledge to implement, with the necessary level of expertise having recently increased. This is due to the development and recommendation to use more sophisticated methods; such as those in Version 2 of the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy. This paper describes a web-based application that extends the functionality of previous applications, making many advanced analysis methods more accessible. Methods: We sought to create an extended, stand-alone, Bayesian version of MetaDTA, which (i) has the benefits of previously proposed applications and addresses key limitations of them, (ii) is accessible to researchers who do not have the specific expertise required to fit such models, and (iii) is suitable for experienced analysts. We created the application using Shiny and Stan. Results: We created MetaBayesDTA (https://crsu.shinyapps.io/MetaBayesDTA/), which allows users to conduct meta-analysis of test accuracy, with or without a gold standard. The application addresses several key limitations of other applications. For instance, for the bivariate model, one can conduct subgroup analysis, univariate meta-regression, and comparative test accuracy evaluation. Meanwhile, for the model which does not assume a perfect gold standard, the application can account for the fact that studies use different reference tests. Conclusions: Due to its user-friendliness and broad array of features, MetaBayesDTA should appeal to a wide variety of researchers. We anticipate that the application will encourage wider use of more advanced methods, which ultimately should improve the quality of test accuracy reviews.

stat.AP↗