Table 4
MCMC results for the run.
Parameter | Unit | All uniform priors | Prior log g = 4.18 ± 0.01 | Prior Teff = 1724 ± 15 K | Prior log g and Teff | ||||
---|---|---|---|---|---|---|---|---|---|
median ± σ68.3% | MLE | median ± σ68.3% | MLE | median ± σ68.3% | MLE | median ± σ68.3% | MLE | ||
Teff | K | ![]() |
1525 | ![]() |
1746 | ![]() |
1749 | ![]() |
1746 |
log g | cgs | ![]() |
3 24 | ![]() |
4.182 | ![]() |
4 210 | ![]() |
4.190 |
[Fe/H] | dex | ![]() |
−0.246 | ![]() |
-0.226 | ![]() |
−0 223 | ![]() |
−0.233 |
C/O | – | ![]() |
0.68 | ![]() |
0.550 | ![]() |
0 550 | ![]() |
0.550 |
v sin i | km s−1 | ![]() |
33 0 | ![]() |
24.9 | ![]() |
25 4 | ![]() |
28.6 |
Rspec | – | ![]() |
4042 | ![]() |
4024 | ![]() |
4032 | ![]() |
4020 |
vr | km s−1 | ![]() |
1.20 | ![]() |
0.30 | ![]() |
1.03 | ![]() |
0.28 |
ƒerr | – | ![]() |
1.08 | ![]() |
0.98 | ![]() |
0 99 | ![]() |
1.00 |
(★)σ | – | <0.013 | 0.002 | <0 013 | 0.007 | <0.012 | 0.006 | <0 013 | 0.005 |
a | – | ![]() |
1.000 | ![]() |
1.000 | ![]() |
1.000 | ![]() |
1.000 |
Goodness-of-fit at MLE | |||||||||
χ2 | 1345 | 1375.1 | 1366.0 | 1340.5 | |||||
![]() |
1.002 | 1.029 | 1.022 | 1.003 | |||||
log 𝓛/NDOF | 3.274 | 3.284 | 3.285 | 3.281 | |||||
AIC | −8721.6 | −8755.6 | −8758.3 | −8757.6 | |||||
Diagnostics | |||||||||
(†) Nstep/max(τλ) | 17 | 52 | 50 | 51 | |||||
Acceptance rate | 0 21 | 0.31 | 0 31 | 0.31 | |||||
NDOF | 1335 | 1336 | 1336 | 1337 |
Notes. Unless stated otherwise, all parameters (except Rspec) follow uniform priors. We describe the posterior distribution of any parameter by the median and the deviation of the 16th and 84th percentiles to the median. The maximum likelihood estimator (MLE) is given as well, at which point the goodness-of-fit diagnostics are determined. (★)For σ, given the shape of the posterior distribution peaking close to 0 and compatible with 0 at less than 2-σ, we only give the upper-limit at the 84th percentile. (†)max(τλ) is the maximum auto-correlation time among all varied parameters λ.
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