exoALMA. XXIII. Estimating Disk and Planet Properties from Dust Morphologies with DBNets 2.0

Abstract The exoALMA large program provided an unprecedented view of the morphologies and kinematics of 15 circumstellar disks, offering a biased but homogenous and well-characterized sample for population-level analysis. Continuum observations revealed numerous dust substructures, known to be potential signatures of embedded planets. We analyze the observed dust morphologies with the simulation-based inference tool DBNets2.0, assuming these are due to embedded planets at fixed locations, to infer the system’s properties. We estimate the putative planet mass, the disk α viscosity, scale height, and dust Stokes number that would reproduce 19 substructures in 13 of the 15 exoALMA disks. We compare our results with literature estimates derived with different methods, and find good agreement in most cases. We further explore the implications of the inferred disk properties for accretion, showing that for the Herbig stars in our sample, the implied viscous accretion timescales are too long to account for their observed stellar accretion rates. Regarding planet migration, our results favor inward migration, with only three putative planets expected to migrate outward. Finally, we check for correlations of the inferred disk and planet properties with the disks’ gas-to-dust mass ratio, nonaxisymmetry index, and masses of the gas, dust, and host stars, finding no remarkable trends.

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Publication Details

Journal
The Astrophysical Journal Letters
Published
2026-03-16
DOI
https://doi.org/10.3847/2041-8213/ae434c
Primary Topic
Astrophysics and Star Formation Studies
Type
article
Field-Weighted Citation Impact
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article

exoALMA. XXIII. Estimating Disk and Planet Properties from Dust Morphologies with DBNets 2.0

T. Yoshida, Brianna Zawadzki, Jason P. Terry, J. Bae et al.
The Astrophysical Journal Letters
Astrophysics and Star Formation Studies
article

exoALMA. XXIII. Estimating Disk and Planet Properties from Dust Morphologies with DBNets 2.0

T. Yoshida, Brianna Zawadzki, Jason P. Terry, J. Bae, Andrew J. Winter, Thomas Hilder, Sean M. Andrews, Richard Teague, Cassandra Hall, C. Pinte, Marcelo Barraza-Alfaro, Cristiano Longarini, Andrés F. Izquierdo, Pietro Curone, Daniele Fasano, A. Ruzza, Jochen Stadler, G. Lodato, Philip Armitage, Myriam Benisty, Giovanni Rosotti, Stefano Facchini, David J. Wilner, François Ménard
article en

Abstract

Abstract The exoALMA large program provided an unprecedented view of the morphologies and kinematics of 15 circumstellar disks, offering a biased but homogenous and well-characterized sample for population-level analysis. Continuum observations revealed numerous dust substructures, known to be potential signatures of embedded planets. We analyze the observed dust morphologies with the simulation-based inference tool DBNets2.0, assuming these are due to embedded planets at fixed locations, to infer the system’s properties. We estimate the putative planet mass, the disk α viscosity, scale height, and dust Stokes number that would reproduce 19 substructures in 13 of the 15 exoALMA disks. We compare our results with literature estimates derived with different methods, and find good agreement in most cases. We further explore the implications of the inferred disk properties for accretion, showing that for the Herbig stars in our sample, the implied viscous accretion timescales are too long to account for their observed stellar accretion rates. Regarding planet migration, our results favor inward migration, with only three putative planets expected to migrate outward. Finally, we check for correlations of the inferred disk and planet properties with the disks’ gas-to-dust mass ratio, nonaxisymmetry index, and masses of the gas, dust, and host stars, finding no remarkable trends.

The Astrophysical Journal LettersVol. 1000(1)
Wesleyan University (US), Centre National de la Recherche Scientifique (FR), Pennsylvania State University (US), European Southern Observatory (DE), University of Georgia (US), Queen Mary University of London (GB), Saga University (JP), University of Milan (IT), The Graduate University for Advanced Studies, SOKENDAI (JP), Université Côte d'Azur (FR), University of Cambridge (GB), University of Florida (US), University of Oxford (GB), Max Planck Institute for Astronomy (DE), Center for Astrophysics Harvard & Smithsonian (US), Observatoire de la Côte d’Azur (FR), Istituto Nazionale di Fisica Nucleare, Sezione di Milano (IT), Flatiron Health (United States) (US), National Astronomical Observatory of Japan (JP), Flatiron Institute (US), Monash University (AU), Stony Brook University (US), Massachusetts Institute of Technology (US), University of Chile (CL), Université Grenoble Alpes (FR)
Reduced inequalities
Openalex Percentile: Top 19%
Astrophysics and Star Formation Studies
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