exoALMA XX: Tomographic Detection of Embedded Planets in Protoplanetary Disks
Andres F. Izquierdo, Jaehan Bae, Stefano Facchini, Ewine F. van Dishoeck, Marcelo Barraza-Alfaro, Myriam Benisty, Richard Teague, Jochen Stadler, Sean M. Andrews, Gianni Cataldi, Nicolas Cuello, Pietro Curone, Ian Czekala, Daniele Fasano, Mario Flock, Misato Fukagawa

TL;DR
This study demonstrates how tomographic analysis of molecular line data from ALMA can detect and characterize embedded planets in protoplanetary disks, revealing substructures and velocity signatures indicative of planet formation.
Contribution
It introduces a novel tomographic method using molecular line observations to identify and distinguish planetary signatures from instabilities in protoplanetary disks.
Findings
Detection of localized velocity perturbations suggesting multiple embedded planets.
Identification of velocity and line-width signatures consistent with planet-induced structures.
Application to real data revealing potential planets in HD 135344B and MWC 758.
Abstract
The exoALMA Large Program has revealed a wealth of substructures in the dust and molecular line emission of several protoplanetary discs, suggesting that planet formation may unfold within highly dynamic environments. Using synthetic observations of planet-disc interactions and disc instabilities, we demonstrate how the origin of these substructures can be investigated through a tomographic study of molecular lines, extending the scope of the analysis beyond line-centroid kinematics alone. Our results indicate that with only a few hours of ALMA integration at moderate angular resolution (), it is possible to identify the key signatures driven by planets more massive than 0.1% of the stellar mass. These signatures manifest not only as deviations from Keplerian motion but also as localized line broadening, enabling accurate constraints on the orbital radius and azimuthal…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Stellar, planetary, and galactic studies · Astronomy and Astrophysical Research
