Public

Stellar Coronagraphy — Public Tier

(3 scenes)

Full-access development tier with all data visible.

Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.

Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.

Reconstructed signals (x_hat) and corrected spec as HDF5.

✓

True spec visible — use these exact values for Scenario III oracle reconstruction.

Parameter	Spec Range	True Value	Unit
coronagraph_mask_centering	-0.02 – 0.04	0.01	lambda/D
wavefront_error_(wfe)	-20.0 – 40.0	10.0	-
stellar_leakage	-0.199997 – 0.4	0.100001	contrast
speckle_lifetime	-20.0 – 40.0	10.0	s

Method: CPU_baseline — Mismatch parameter: nominal

23.32 dB

SSIM 0.4205

19.59 dB

SSIM 0.0995

21.80 dB

SSIM 0.1807

Per-scene breakdown (4 scenes)

Scene	PSNR I	SSIM I	PSNR II	SSIM II	PSNR III	SSIM III
scene_00	24.19	0.4390	19.09	0.0924	20.93	0.1660
scene_01	20.48	0.3616	20.39	0.1114	22.37	0.1887
scene_02	24.14	0.4400	18.87	0.0870	21.64	0.1751
scene_03	24.46	0.4415	20.01	0.1070	22.27	0.1928

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	DiffusionCoron + gradient	0.835	36.95	0.978	0.87	✓ Certified	Lim et al., ApJ 2024
2	CoronFormer + gradient	0.808	34.57	0.965	0.88	✓ Certified	Gebhard et al., A&A 2022
3	SpeckleLearn + gradient	0.775	31.87	0.941	0.9	✓ Certified	Yip et al., AJ 2020
4	CNN-Coronagraph + gradient	0.742	30.1	0.918	0.87	✓ Certified	Gonzalez et al., AJ 2018
5	KLIP + gradient	0.682	26.15	0.836	0.93	✓ Certified	Soummer et al., ApJ 2012
6	ANDROMEDA + gradient	0.672	25.87	0.828	0.91	✓ Certified	Cantalloube et al., A&A 2015
7	PCA-ADI + gradient	0.627	24.24	0.777	0.87	✓ Certified	Amara & Quanz, MNRAS 2012
8	LOCI + gradient	0.619	23.41	0.747	0.93	✓ Certified	Lafrenière et al., ApJ 2007
9	ADI + gradient	0.514	19.81	0.59	0.9	✓ Certified	Marois et al., ApJ 2006

y H_ideal spec_ranges x_true true_spec

Format: HDF5

Scenes: 3

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%