Table 3.

Summary of the GP model, the priors on its hyperparameters, and the estimated median and 68 per cent confidence intervals obtained using an MCMC procedure for the 10 nights data set (see Appendix  B. All covariance functions are Matern functions.

HyperparameterPriorMCMC estimate (10 nights)
ηsky+∞
|$\sigma ^2_{\mathrm{sky}} / \sigma ^2_{\mathrm{n}}$||$611\substack{+22\\-19}$|
lsky|$\mathcal {U}(10, 100)$||$47.5\substack{+3.1\\-2.8}$|
ηmix3/2
|$\sigma ^2_{\mathrm{mix}} / \sigma ^2_{\mathrm{n}}$||$50.4\substack{+2.1\\-1.9}$|
lmix|$\mathcal {U}(1, 10)$||$2.97\substack{+0.09\\-0.08}$|
ηex5/2
|$\sigma ^2_{\mathrm{ex}} / \sigma ^2_{\mathrm{n}}$||$2.18\substack{+0.09\\-0.14}$|
lex|$\mathcal {U}(0.2, 0.8)$||$0.26\substack{+0.01\\-0.01}$|
η211/2
|$\sigma ^2_{\mathrm{21}} / \sigma ^2_{\mathrm{n}}$|<0.77
l21|$\mathcal {U}(0.1, 1.2)$|>0.73a
αn|$1.17\substack{+0.06\\-0.06}$|
HyperparameterPriorMCMC estimate (10 nights)
ηsky+∞
|$\sigma ^2_{\mathrm{sky}} / \sigma ^2_{\mathrm{n}}$||$611\substack{+22\\-19}$|
lsky|$\mathcal {U}(10, 100)$||$47.5\substack{+3.1\\-2.8}$|
ηmix3/2
|$\sigma ^2_{\mathrm{mix}} / \sigma ^2_{\mathrm{n}}$||$50.4\substack{+2.1\\-1.9}$|
lmix|$\mathcal {U}(1, 10)$||$2.97\substack{+0.09\\-0.08}$|
ηex5/2
|$\sigma ^2_{\mathrm{ex}} / \sigma ^2_{\mathrm{n}}$||$2.18\substack{+0.09\\-0.14}$|
lex|$\mathcal {U}(0.2, 0.8)$||$0.26\substack{+0.01\\-0.01}$|
η211/2
|$\sigma ^2_{\mathrm{21}} / \sigma ^2_{\mathrm{n}}$|<0.77
l21|$\mathcal {U}(0.1, 1.2)$|>0.73a
αn|$1.17\substack{+0.06\\-0.06}$|

Note. aThe upper confidence interval hits the prior boundaries, hence we report here only the lower limit.

Table 3.

Summary of the GP model, the priors on its hyperparameters, and the estimated median and 68 per cent confidence intervals obtained using an MCMC procedure for the 10 nights data set (see Appendix  B. All covariance functions are Matern functions.

HyperparameterPriorMCMC estimate (10 nights)
ηsky+∞
|$\sigma ^2_{\mathrm{sky}} / \sigma ^2_{\mathrm{n}}$||$611\substack{+22\\-19}$|
lsky|$\mathcal {U}(10, 100)$||$47.5\substack{+3.1\\-2.8}$|
ηmix3/2
|$\sigma ^2_{\mathrm{mix}} / \sigma ^2_{\mathrm{n}}$||$50.4\substack{+2.1\\-1.9}$|
lmix|$\mathcal {U}(1, 10)$||$2.97\substack{+0.09\\-0.08}$|
ηex5/2
|$\sigma ^2_{\mathrm{ex}} / \sigma ^2_{\mathrm{n}}$||$2.18\substack{+0.09\\-0.14}$|
lex|$\mathcal {U}(0.2, 0.8)$||$0.26\substack{+0.01\\-0.01}$|
η211/2
|$\sigma ^2_{\mathrm{21}} / \sigma ^2_{\mathrm{n}}$|<0.77
l21|$\mathcal {U}(0.1, 1.2)$|>0.73a
αn|$1.17\substack{+0.06\\-0.06}$|
HyperparameterPriorMCMC estimate (10 nights)
ηsky+∞
|$\sigma ^2_{\mathrm{sky}} / \sigma ^2_{\mathrm{n}}$||$611\substack{+22\\-19}$|
lsky|$\mathcal {U}(10, 100)$||$47.5\substack{+3.1\\-2.8}$|
ηmix3/2
|$\sigma ^2_{\mathrm{mix}} / \sigma ^2_{\mathrm{n}}$||$50.4\substack{+2.1\\-1.9}$|
lmix|$\mathcal {U}(1, 10)$||$2.97\substack{+0.09\\-0.08}$|
ηex5/2
|$\sigma ^2_{\mathrm{ex}} / \sigma ^2_{\mathrm{n}}$||$2.18\substack{+0.09\\-0.14}$|
lex|$\mathcal {U}(0.2, 0.8)$||$0.26\substack{+0.01\\-0.01}$|
η211/2
|$\sigma ^2_{\mathrm{21}} / \sigma ^2_{\mathrm{n}}$|<0.77
l21|$\mathcal {U}(0.1, 1.2)$|>0.73a
αn|$1.17\substack{+0.06\\-0.06}$|

Note. aThe upper confidence interval hits the prior boundaries, hence we report here only the lower limit.

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