Combining reference-star and angular differential imaging for high-contrast imaging of extended sources - Appendix
<p>This appendix presents the disk estimations obtained with RDI, ADI, and ARDI, using IPCA, for all 60 test data sets considered in Juillard et. al. (2024). Page-sized figures shows IPCA disk estimations obtained leveraging RDI, ADI and ARDI strategies for cube 1 to 4 and disks A to E.</p> <p>Details on the data sets where disks were injected can be found in Juillard et. al. (2023) and Juillard et. al. (2024), and can be found on the Zeneodo folder : <a href="../records/11442267">https://zenodo.org/records/11442267</a></p> <p>Each page-sized figure presents the results for a specific synthetic disk in a given data set. The injected disks (A→E) are shown in the left-most column of each figure. Each figure contains three pairs of rows, each corresponding to a different injected contrast level: $10^{-3}$ (top), $10^{-4}$ (middle), and $10^{-5}$ (bottom). The top row of each pair represents the estimation, while the bottom row represents the residuals. Each column displays the following in order: ground truth (left), RDI (middle left), ADI (middle right), and ARDI (right). The best method, as determined by each metric, is indicated in the bottom-left corner of each pair of rows. The color bar bounds in the residual plots is set to $\pm$ maximum of intensity of the GT, centered at 0. For the disk image estimation plots, the color bar is adjusted for each data set to have a maximum value equal to the 99th percentile of the image. The minimal value is set to 0. Additionally, the optimal IPCA parameters (rank and number of iterations) are written at the top left of the corresponding images.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0