Table 2
51 Peg performance and evidence estimation.
| Stat | emp-APT | emp-DNS | jul-DNS |
|---|---|---|---|
| 0K | |||
| time (s) | 220.5 ± 5.7 | 49.1 ± 1.4 | 234.1 ± 1.6 |
| eff (%) | 11.37 ± 0.16 | 3.76 ± 0.01 | 3.73 ± 0.01 |
| enits | 2215.3 ± 74.5 | 666.3 ± 16.6 | 139.5 ± 0.4 |
 |
–1318.7 ± 0.2 | –1318.7 ± 0.1 | –1318.7 ± 0.1 |
 |
0.142 ± 0.005 | 0.076 ± 0.001 | 0.076 ± 0.001 |
 |
1.185 | 1.282 | 1.289 |
| 1K | |||
| time (s) | 218.8 ± 3.22 | 250.9 ± 19.2 | 2630.6 ± 250.3 |
| eff (%) | 3.03 ± 0.10 | 1.65 ± 0.04 | 1.46 ± 0.16 |
| enits | 594.4 ± 23.3 | 319.4 ± 18.3 | 30.4 ± 2.4 |
 |
–880.64 ± 0.52 | –884.12 ± 2.07 | –884.53 ± 1.96 |
 |
0.192 ± 0.027 | 0.175 ± 0.004 | 0.175 ± 0.004 |
 |
3.129 | 12.530 | 11.615 |
Notes. From left to right: EMPEROR with reddemcee, EMPEROR with dynesty, and juliet with dynesty. From top to bottom: white noise model (0K) and single Keplerian (1K), each tab contains descending the total run time in seconds, eff (the sampling efficiency), enits (effective samples per second), the Bayesian evidence estimate, its estimated uncertainty, and the χ2 test between internal and empirical evidence uncertainties.
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