The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): VI. Comparison of Dust Evolution Models to AGE-PRO Observations
Nicolas T. Kurtovic, Matias G\'arate, Paola Pinilla, Ke Zhang, Giovanni P. Rosotti, Rossella Anania, Ilaria Pascucci, Beno\^it Tabone, Leon Trapman, Dingshan Deng, Miguel Vioque, John Carpenter, Lucas A. Cieza, Laura M. P\'erez, Carolina Agurto-Gangas, Anibal Sierra

TL;DR
This study compares ALMA observations of protoplanetary disks with dust evolution models, revealing that gas masses are not well reproduced by simple viscous models and suggesting the presence of dust traps.
Contribution
It introduces a comprehensive comparison between observed disk properties and dust evolution simulations, exploring the role of dust traps and physical mechanisms in disk evolution.
Findings
Observed gas masses are not matched by viscous evolution models.
Most disks are consistent with models featuring dust traps.
Spectral index evolution suggests an unresolved population of dust traps.
Abstract
The potential for planet formation of a circumstellar disk depends on the dust and gas reservoirs, which evolve as a function of the disk age. The ALMA Large Program AGE-PRO has measured several disk properties across three star-forming regions of different ages, and in this study we compare the observational results to dust evolution simulations. Using DustPy for the dust evolution, and RADMC-3D for the radiative transfer, we ran a large grid of models spanning stellar masses of 0.25, 0.50, 0.75, and 1.0 , with different initial conditions, including: disk sizes, disk gas masses, and dust-to-gas ratio, and viscosity. Our models are performed assuming smooth, weakly, or strongly substructured disks, aiming to investigate if any observational trend can favor or exclude the presence of dust traps. The observed gas masses in the disks of the AGE-PRO sample are not reproducible…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
