Table 5.
Priors and Posteriors of Bayesian Analysis
| Parameter | Prior | Mean of Posterior | Description |
|---|---|---|---|
| Case 1: K power-law/M power-law model | |||
| γ1 | flata on [1.2, 3.5] | primary PSD slope | |
| γ2b | flata on [1.2, 10.0] | secondary PSD slope | |
| fb [10−3 minutes−1] | Flatv on [1.0, 600.0] | primary correlation frequency | |
| fb,2 [minutes−] | flata on [0.001, 0.6] | secondary break frequency | |
| >0.120 | (95% credible level) | ||
| F0 [mJy] | Gaussian (p = −0.36, o = 0.05) | pole of the power-law flux-density PDF (K- and M-band) | |
| βk | Gaussian (p = 4.22, o = 0.6) | slope of the power-law flux-density PDF in K-band | |
| βm | Gaussian (p = 4.22, o = 0.6) | slope of the power-law flux-density PDF in M-band | |
| s | flat on [0.01, 24.0] | M to K flux density ratio | |
| σKeck [mJy] | Gaussian (p = 0.017, o = 0.008) | measurement noise of the Keck observations | |
| σVLT [mJy] | Gaussian (p = 0.034, o = 0.008) | measurement noise of the VLT observations | |
| σIRAC [mJy] | Gaussian (p = 0.65, o = 0.2) | measurement noise of the IRAC observations | |
| Case 2: K power-law/M log-normal model | |||
| γ1 | flata on [1.2, 3.5] | primary PSD slope | |
| γ2b | flata on [1.2, 10.0] | secondary PSD slope | |
| fb [10−3 minutes−1] | flata on [1.0, 600.0] | primary correlation frequency | |
| fb,2 [minutes−1] | flata on [0.001, 0.6] | secondary break frequency | |
| >0.112 | (95% credible level) | ||
| F0 [mJy] | Gaussian (μ = −0.37, o = 0.05) | pole of the power-law flux-density PDF in K-band | |
| βK | Gaussian (μ = 4.22, o = 0.6) | slope of the power-law flux-density PDF in K-band | |
| μlogn,M | flat on [−6.0, 6.0] | log-normal mean in M-band | |
| σlogn,M | flat on [0.001, 4.0] | log-normal standard deviation in M-band | |
| σKeck [mJy] | Gaussian (μ = 0.017, o = 0.008) | measurement noise of the Keck observations | |
| σVLT [mJy] | Gaussian (μ = 0.034, o = 0.008) | measurement noise of the VLT observations | |
| σIRAC [mJy] | Gaussian (μ = 0.65, o = 0.2) | measurement noise of the IRAC observations | |
| Case 3: K log-normal/M log-normal model + spectral information from synchronous data | |||
| γ1 | flata on [1.2, 3.5] | primary PSD slope | |
| γ2b | flata on [1.2, 10.0] | secondary PSD slope | |
| fb [10−3 minutes−1] | flata on [1.0, 600.0] | primary correlation frequency | |
| fb,2 [minutes−1] | flata on [0.001, 0.6] | secondary break frequency | |
| >0.118 | (95% credible level) | ||
| μlogn,K | flat on [−8.3, 3.7] | log-normal mean in K-band | |
| σlogn,K | flat on [0.001, 4.0] | log-normal standard deviation in K-band | |
| μlogn,M | flat on [−6.0, 6.0] | log-normal mean in M-band | |
| σlogn,M | flat on [0.001, 4.0] | log-normal standard deviation in M-band | |
| OKeck [mJy] | Gaussian (μ = 0.017, o = 0.008) | measurement noise of the Keck observations | |
| σVLT [mJy] | Gaussian (μ = 0.034, o = 0.008) | measurement noise of the VLT observations | |
| σIRAC [mJy] | Gaussian (μ = 0.65, o = 0.2) | measurement noise of the IRAC observations | |
Notes.
The joint prior distributions are flat under the conditions fb,2 > fb and γ2 > γ1, respectively; see Appendix B.3.
Unconstrained by the data; posterior is a minor alteration of the prior.