Table C.1.
Data and regularization terms used for the RML techniques ehtim, DoG-HIT, and MOEA/D.
| Data | Type | Obj. | Description | Ref. | weight | Method |
|---|---|---|---|---|---|---|
| ℐ | Data | χCPh2 | fit quality to closure phases | 1 | 10 | ehtim, DoG-HIT |
| χLCA2 | log. of closure amplitudes | 1 | 10 | ehtim, MOEA/D, DoG-HIT | ||
| χamp2 | amplitudes | 1 | 0.1 | ehtim, MOEA/D | ||
| χvis2 | complex visibilities | 1 | 0 | ehtim | ||
| Reg. | Rentr | entropy | 1 | 100 | ehtim, MOEA/D | |
| Rtv | total variation | 1 | 1 | ehtim, MOEA/D | ||
| Rtv2 | total squared variation | 1 | 1 | ehtim, MOEA/D | ||
| Rl1 | l1-norm | 1 | 0 | ehtim, MOEA/D | ||
| Rflux | total flux constraint | 1 | 100 | ehtim, MOEA/D | ||
| Rl1w | l1-norm of wavelets | 2 | DoG-HIT | |||
| lin. pol. | Data | χpvis2 | fit quality to LP visibility 𝒫 | 3 | 1 | ehtim |
| χm2 | visibility polarimetric ratio 𝒫/ℐ | 3 | 1 | ehtim | ||
| Reg. | Rptv | total variation of 𝒫 = 𝒬 + i𝒰 | 3 | 1 | ehtim, DoG-HIT | |
| Rms | entropy of 𝒫 = 𝒬 + i𝒰 | 3 | 0 | ehtim, MOEA/D | ||
| Rhw | HW-entropy of lin. pol. fraction m | 3 | 100 | ehtim | ||
| Rhw + cp | HW-entropy of total pol. fraction m + v | 4 | MOEA/D | |||
| 1ms | constrained to Stokes ℐ wavelets | 5 | DoG-HIT | |||
| circ. pol. | Data | χcvis2 | fit quality to CP visibility 𝒱 | 6 | 0.1 | ehtim, MOEA/D |
| Reg. | Rl1v | l1-norm of circ. pol. | 6 | 0.1 | ehtim | |
| Rvtv | total variation of circ. pol. | 6 | 10.0 | ehtim | ||
| Rhw + cp | HW-entropy of total pol. fraction m + v | 4 | MOEA/D | |||
| 1ms | constrained to Stokes ℐ wavelets | 5 | DoG-HIT | |||
Notes. We show the top-set weights for ehtim in the sixth column. MOEA/D surveys all weight combinations internally, DoG-HIT performs constrained optimization. References. 1: EHTC (2019d), 2: Müller & Lobanov (2022), 3: Chael et al. (2016), 4: Toscano et al. (in prep.), 5: Müller & Lobanov (2023a), 6: EHTC (2024c).
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