exoALMA XXIII. Estimating Disk and Planet Properties from Dust Morphologies with DBNets2.0
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| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Preprint |
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2026
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| author | Ruzza, Alessandro Lodato, Giuseppe Rosotti, Giovanni Armitage, Philip J. Facchini, Stefano Andrews, Sean M. Bae, Jaehan Barraza-Alfaro, Marcelo Benisty, Myriam Curone, Pietro Fasano, Daniele Hall, Cassandra Hilder, Thomas Izquierdo, Andrés F. Longarini, Cristiano Ménard, François Pinte, Christophe Stadler, Jochen Teague, Richard Terry, Jason Wilner, David J. Winter, Andrew J. Yoshida, Tomohiro C. Zawadzki, Brianna |
| author_facet | Ruzza, Alessandro Lodato, Giuseppe Rosotti, Giovanni Armitage, Philip J. Facchini, Stefano Andrews, Sean M. Bae, Jaehan Barraza-Alfaro, Marcelo Benisty, Myriam Curone, Pietro Fasano, Daniele Hall, Cassandra Hilder, Thomas Izquierdo, Andrés F. Longarini, Cristiano Ménard, François Pinte, Christophe Stadler, Jochen Teague, Richard Terry, Jason Wilner, David J. Winter, Andrew J. Yoshida, Tomohiro C. Zawadzki, Brianna |
| contents | The exoALMA large program provided an unprecedented view of the morphology 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 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, non-axisymmetry index, and masses of the gas, dust, and host stars, finding no remarkable trend. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_13149 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | exoALMA XXIII. Estimating Disk and Planet Properties from Dust Morphologies with DBNets2.0 Ruzza, Alessandro Lodato, Giuseppe Rosotti, Giovanni Armitage, Philip J. Facchini, Stefano Andrews, Sean M. Bae, Jaehan Barraza-Alfaro, Marcelo Benisty, Myriam Curone, Pietro Fasano, Daniele Hall, Cassandra Hilder, Thomas Izquierdo, Andrés F. Longarini, Cristiano Ménard, François Pinte, Christophe Stadler, Jochen Teague, Richard Terry, Jason Wilner, David J. Winter, Andrew J. Yoshida, Tomohiro C. Zawadzki, Brianna Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics The exoALMA large program provided an unprecedented view of the morphology 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 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, non-axisymmetry index, and masses of the gas, dust, and host stars, finding no remarkable trend. |
| title | exoALMA XXIII. Estimating Disk and Planet Properties from Dust Morphologies with DBNets2.0 |
| topic | Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2603.13149 |