PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 28, 2025The Astrophysical Journal Letters36 citationsOpen Access

exoALMA. XII. Weighing and Sizing exoALMA Disks with Rotation Curve Modelling

CLCristiano LongariniGLGiuseppe LodatoGRGiovanni Rosotti

Key Points

Key points are not available for this paper at this time.

Abstract

Abstract The exoALMA large program offers a unique opportunity to investigate the fundamental properties of protoplanetary disks, such as their masses and sizes, providing important insights into the mechanism responsible for the transport of angular momentum. In this work, we model the rotation curves of CO isotopologues 12 CO and 13 CO of 10 sources within the exoALMA sample, and we constrain the stellar mass, the disk mass, and the density scale radius through precise characterization of the pressure gradient and disk self-gravity. We obtain dynamical disk masses for our sample by measuring the self-gravitating contribution to the gravitational potential. We are able to parametrically describe their surface density, and all of them appear gravitationally stable. By combining dynamical disk masses with dust continuum emission data, we determine an averaged gas-to-dust ratio of approximately 400, not statistically consistent with the standard value of 100, assuming optically thin dust emission. In addition, the measurement of the dynamical scale radius allows for direct comparison with flux-based radii of gas and dust. This comparison suggests that substructures may influence the size of the dust disk and that CO depletion might reconcile our measurements with thermochemical models. Finally, with the stellar mass, disk mass, scale radius, and accretion rate, and assuming self-similar evolution of the surface density, we constrain the effective α S for these systems. We find a broad range of α S values ranging between 10 −5 and 10 −2 .

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Longarini et al. (2025) studied this question.

synapsesocial.com/papers/6a21456e5c0c8498e257d527https://doi.org/10.3847/2041-8213/adc431
Ask AI
Helpful
Bookmark
Share
View Full Paper