Table 2
Results of the Markov Chain Monte Carlo modeling of the Bℓ (top) and d T (bottom) curves of TWA 7.
| Parameter | Symbol | Value | Prior |
|---|---|---|---|
| Bℓ | |||
| GP amplitude (G) | θ1 | 94 ± 20 | mod Jeffreys (σBℓ) |
| Rec. period (d) | θ2 | 5.012 ± 0.007 | Gaussian (5.0, 1.0) |
| Evol. timescale (d) | θ3 | 240 ± 54 | log Gaussian (log 250, log 2) |
| Smoothing | θ4 | 2.0 | Fixed |
| White noise (G) | θ5 | 3.7 ± 2.4 | mod Jeffreys (σBℓ) |
| Rms (G) | 8.2 | ||
 |
0.67 | ||
| dT | |||
| GP amplitude (K) | θ1 | 10.6 ± 2.5 | mod Jeffreys (σd T) |
| Rec. period (d) | θ2 | 5.016 ± 0.010 | Gaussian (5.0, 1.0) |
| Evol. timescale (d) | θ3 | 257 ± 91 | log Gaussian (log 250, log 2) |
| Smoothing | θ4 | 1.3 | Fixed |
| White noise (K) | θ5 | 1.5 ± 0.8 | mod Jeffreys (σd T) |
| Rms (K) | 2.9 | ||
 |
0.85 | ||
Notes. For each hyper parameter, we list the fitted value along with the corresponding error bar and the assumed prior. The knee of the modified Jeffreys prior is set to the median error bars of Bℓ and d T (9.4 G and 3.0 K). For the evolution timescale, θ3, the log Gaussian prior is set to 250 d (within a factor of two), following a preliminary run. The smoothing parameter, θ4, weakly constrained by the Bℓ and d T data, was fixed to the value that maximized likelihood in a previous MCMC run.
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