Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Consistent dust and gas models for protoplanetary disks. III. Models for selected objects from the FP7 DIANA Project

Woitke, P., Kamp, I., Antonellini, S., Anthonioz, F., Baldovin-Saveedra, C., Carmona, A., Dionatos, O., Dominik, C., Greaves, J. ORCID: https://orcid.org/0000-0002-3133-413X, Güdel, M., Ilee, J. D., Liebhardt, A., Menard, F., Min, M., Pinte, C., Rab, C., Rigon, L., Thi, W. F., Thureau, N. and Waters, L. B. F. M. 2019. Consistent dust and gas models for protoplanetary disks. III. Models for selected objects from the FP7 DIANA Project. Publications of the Astronomical Society of the Pacific 131 (1000) , 064301. 10.1088/1538-3873/aaf4e5

[thumbnail of Woitke_2019_PASP_131_064301.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (6MB) | Preview

Abstract

The European FP7 project DIANA has performed a coherent analysis of a large set of observational data of protoplanetary disks by means of thermo-chemical disk models. The collected data include extinction-corrected stellar UV and X-ray input spectra (as seen by the disk), photometric fluxes, low and high resolution spectra, interferometric data, emission line fluxes, line velocity profiles and line maps, which probe the dust, polycyclic aromatic hydrocarbons (PAHs) and the gas in these objects. We define and apply a standardized modeling procedure to fit these data by state-of-the-art modeling codes (ProDiMo, MCFOST, MCMax), solving continuum and line radiative transfer (RT), disk chemistry, and the heating and cooling balance for both the gas and the dust. 3D diagnostic RT tools (e.g., FLiTs) are eventually used to predict all available observations from the same disk model, the DIANA-standard model. Our aim is to determine the physical parameters of the disks, such as total gas and dust masses, the dust properties, the disk shape, and the chemical structure in these disks. We allow for up to two radial disk zones to obtain our best-fitting models that have about 20 free parameters. This approach is novel and unique in its completeness and level of consistency. It allows us to break some of the degeneracies arising from pure Spectral Energy Distribution (SED) modeling. In this paper, we present the results from pure SED fitting for 27 objects and from the all inclusive DIANA-standard models for 14 objects. Our analysis shows a number of Herbig Ae and T Tauri stars with very cold and massive outer disks which are situated at least partly in the shadow of a tall and gas-rich inner disk. The disk masses derived are often in excess to previously published values, since these disks are partially optically thick even at millimeter wavelength and so cold that they emit less than in the Rayleigh–Jeans limit. We fit most infrared to millimeter emission line fluxes within a factor better than 3, simultaneously with SED, PAH features and radial brightness profiles extracted from images at various wavelengths. However, some line fluxes may deviate by a larger factor, and sometimes we find puzzling data which the models cannot reproduce. Some of these issues are probably caused by foreground cloud absorption or object variability. Our data collection, the fitted physical disk parameters as well as the full model output are available to the community through an online database (http://www.univie.ac.at/diana).

Item Type: Article
Date Type: Publication
Status: Published
Schools: Physics and Astronomy
Additional Information: Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.
Publisher: IOP Publishing
ISSN: 0004-6280
Date of First Compliant Deposit: 14 May 2020
Date of Acceptance: 21 November 2018
Last Modified: 05 May 2023 08:24
URI: https://orca.cardiff.ac.uk/id/eprint/131691

Citation Data

Cited 37 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics