Published August 29, 2022
| Version 1.0
Dataset
Open
Radiative Transfer Edge-on Protoplanetary Disk Images
Authors/Creators
- 1. Dept. of Astronomy, University of Virginia
- 2. Bay Area Environmental Research Institute
- 3. Astronomy Department, University of California, Berkeley
Description
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).
Files
README.md
Files
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