Radiative Transfer Edge-on Protoplanetary Disk Images

Dataset used to train a Convolutional Autoencoder model to generate synthetic images of edge-on protoplanetary disks. The work is described in "A machine learning framework to predict images of edge-on protoplanetary disks", Telkamps et al. 2022, submitted to AAS. This image dataset was created using the radiative transfer (RT) modeling code MCFOST (Pinte et al. 2006; Pinte et al. 2009).

Related Organizations

University of California, Berkeley
United States
University of Virginia
United States
Bay Area Environmental Research Institute
United States

Keywords

autoencoder, edge-on protoplanetary disks

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