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Cited by 544

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Accretion Disks around Young Objects. III. Grain Growth

Open access
D’Alessio, Paola, Calvet, Nuria, Hartmann, Lee·2001·The Astrophysical Journal

Abstract

We present detailed models of irradiated T Tauri disks including dust grain growth with power-law size distributions. The models assume complete mixing between dust and gas and solve for the vertical disk structure self-consistently including the heating effects of stellar irradiation as well as local viscous heating. For a given total dust mass, grain growth is found to decrease the vertical height of the surface where the optical depth to the stellar radiation becomes unity and thus the local irradiation heating, while increasing the disk emission at mm and submillimeter wavelengths. The resulting disk models are less geometrically thick than our previous models assuming interstellar medium dust, and agree better with observed spectral energy distributions and images of edge-on disks, like HK Tau/c and HH 30. The implications of models with grain growth for determining disk masses from long-wavelength emission are considered.

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Metadata

Authors
D’Alessio, P., Calvet, N., & Hartmann, L.
Venue
The Astrophysical Journal
Published
2001-05-20
Volume
553
Issue
1
Pages
321-334
ISSN
  • 0004-637X (ISSN-L)
  • 1538-4357
OpenAlex
W2025740913
Cited by
544
References
1
FWCI
14.46
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Accretion Disks around Young Objects. III. Grain Growth. https://app.cochat.ai/papers/10.1086/320655
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D’Alessio, P., Calvet, N., & Hartmann, L. (2001). Accretion Disks around Young Objects. III. Grain Growth. The Astrophysical Journal. https://doi.org/10.1086/320655

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.