Table 5.
Overview of the candidate fraction of all model classes.
| Model | Correct # of images | fcand |
|---|---|---|
| PL1 + PL2 | × | 0% |
| PL1 + PL2 + γext | × | 0% |
| PL1 + cPL2 | × | 0% |
| PL1 + cPL2 + γext | ✓ | 0.26% |
| cPL1 + cPL2 | × | 0% |
| cPL1 + cPL2 + γext | ✓ | 0.26% |
| PL1 + PL2 + SIS | × | 0% |
| PL1 + PL2 + NIS | × | 0% |
| PL1 + PL2 + rSIS | ✓ | 0.03% |
| PL1 + PL2 + rNIS | ✓ | 1.7% |
| PL1 + PL2 + rSIS + γext | ✓ | 0.4% |
| PL1 + PL2 + rNIS + γext | ✓ | 12% |
Notes. Candidate models are model realizations that predict four instead of five quasar images, or where additional images are below the flux limit of the data. fcand is the weighted percentage of candidate model realizations in the MCMC chain. In this computation, we take the statistical weights of the MCMC chain into account.
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