PRODIGE -- Planet-forming disks in Taurus with NOEMA
R. Franceschi, Th. Henning, G. V. Smirnov-Pinchukov, D. A. Semenov, K., Schwarz, A. Dutrey, E. Chapillon, U. Gorti, S. Guilloteau, V. Pi\'etu, S. van, Terwisga, L. Bouscasse, P. Caselli, G. Gieser, T.-H. Hsieh, A., Lopez-Sepulcre, D. M. Segura-Cox, J. E. Pineda, M. J. Maureira

TL;DR
This paper introduces PRODIGE, a new method combining machine learning and radiative transfer to efficiently model gas density, temperature, and mass in protoplanetary disks using CO isotopologue emission data.
Contribution
The paper presents DiskCheF, a novel, fast, ML-accelerated chemical modeling tool integrated with radiative transfer for disk analysis, enabling detailed gas property constraints.
Findings
Successfully modeled multiple Taurus disks with CO data.
Derived gas masses consistent with dust-based estimates.
Demonstrated the effectiveness of ML in complex chemical modeling.
Abstract
We aim to constrain the gas density and temperature distributions as well as gas masses in several T Tauri protoplanetary disks located in Taurus. We use the 12CO, 13CO, and C18O (2-1) isotopologue emission observed at 0.9 with the IRAM NOrthern Extended Millimeter Array (NOEMA) as part of the MPG-IRAM Observatory Program PRODIGE (PROtostars and DIsks: Global Evolution PIs: P. Caselli & Th. Henning). Our sample consists of Class II disks with no evidence of strong radial substructures. We use thesedata to constrain the thermal and chemical structure of these disks through theoretical models for gas emission. To fit the combined optically thick and thin CO line data in Fourier space, we developed the DiskCheF code, which includes the parameterized disk physical structure, machine-learning (ML) accelerated chemistry, and the RADMC-3D line radiative transfer module. A key novelty of…
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Taxonomy
TopicsAstro and Planetary Science · Astrophysics and Star Formation Studies · Phase Equilibria and Thermodynamics
