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Table 2.

GP model: summary of the model parameters, priors, and posteriors (median with 68% intervals).

Component
Covariance functiona
Parameter z≈8.3 z≈9.1 z≈10.1



Prior Posterior Prior Posterior Prior Posterior
Sky
RBF
σ2 393.5 + 16.4 16.4 $ 393.5{{+16.4}\atop { -16.4}} $ 680.3 + 28.6 27.9 $ 680.3{{+28.6}\atop { -27.9}} $ 1059.5 + 54.4 52.1 $ 1059.5{{+54.4}\atop { -52.1}} $
l [MHz] =80 =80 U ( 30 , 60 ) $ {\cal {{U}}}(30, 60) $ 41.8 + 6.5 4.8 $ 41.8{{+6.5}\atop { -4.8}} $ U ( 10 , 50 ) $ {\cal {{U}}}(10, 50) $ 31.8 + 5.2 3.4 $ 31.8{{+5.2}\atop { -3.4}} $

Mode mixing
Matérn 3/2
σ2 81.5 + 2.7 2.7 $ 81.5{{+2.7}\atop { -2.7}} $ 114.8 + 4.6 4.4 $ 114.8{{+4.6}\atop { -4.4}} $ 290.5 + 25.7 23.5 $ 290.5{{+25.7}\atop { -23.5}} $
θ [radians]b U ( 0.15 , 0.25 ) $ {\cal {{U}}}(0.15, 0.25) $ 0.210 + 0.004 0.004 $ 0.210{{+0.004}\atop { -0.004}} $ U ( 0.2 , 0.3 ) $ {\cal {{U}}}(0.2, 0.3) $ 0.238 + 0.006 0.006 $ 0.238{{+0.006}\atop { -0.006}} $ U ( 0.05 , 0.15 ) $ {\cal {{U}}}(0.05, 0.15) $ 0.106 + 0.008 0.008 $ 0.106{{+0.008}\atop { -0.008}} $
δbuffer [μ s] =0.02 =0.02 =0.01 =0.01 =0.04 =0.04

Mode mixing 2
Matérn 3/2
σ2 18.8 + 3.0 2.9 $ 18.8{{+3.0}\atop { -2.9}} $
θ [radians]b U ( 0.4 , 0.8 ) $ {\cal {{U}}}(0.4, 0.8) $ 0.57 + 0.04 0.04 $ 0.57{{+0.04}\atop { -0.04}} $

Excess
RBF
σ2 1.08 + 0.06 0.06 $ 1.08{{+0.06}\atop { -0.06}} $ 1.4 + 0.1 0.1 $ 1.4{{+0.1}\atop { -0.1}} $ 1.3 + 0.2 0.1 $ 1.3{{+0.2}\atop { -0.1}} $
l [MHz] U ( 0.3 , 0.6 ) $ {\cal {{U}}}(0.3, 0.6) $ 0.41 + 0.01 0.01 $ 0.41{{+0.01}\atop { -0.01}} $ U ( 0.2 , 0.3 ) $ {\cal {{U}}}(0.2, 0.3) $ 0.40 + 0.02 0.02 $ 0.40{{+0.02}\atop { -0.02}} $ U ( 0.4 , 0.8 ) $ {\cal {{U}}}(0.4, 0.8) $ 0.36 + 0.02 0.02 $ 0.36{{+0.02}\atop { -0.02}} $

21 cm
Learned kernelc
σ2 <0.02 <0.05 <0.02
x1 U ( 3 , 3 ) $ {\cal {{U}}}(-3, 3) $ 0.0 + 2.0 1.9 $ 0.0{{+2.0}\atop { -1.9}} $ U ( 3 , 3 ) $ {\cal {{U}}}(-3, 3) $ 0.2 + 2.1 1.9 $ -0.2{{+2.1}\atop { -1.9}} $ U ( 3 , 3 ) $ {\cal {{U}}}(-3, 3) $ 0.2 + 1.9 2.1 $ 0.2{{+1.9}\atop { -2.1}} $
x2 U ( 3 , 3 ) $ {\cal {{U}}}(-3, 3) $ 0.9 + 1.5 2.3 $ 0.9{{+1.5}\atop { -2.3}} $ U ( 3 , 3 ) $ {\cal {{U}}}(-3, 3) $ 0.6 + 2.2 1.6 $ -0.6{{+2.2}\atop { -1.6}} $ U ( 3 , 3 ) $ {\cal {{U}}}(-3, 3) $ 0.1 + 2.2 1.9 $ -0.1{{+2.2}\atop { -1.9}} $

Noise
Identity
α U ( 1.2 , 1.9 ) $ {\cal {{U}}}(1.2, 1.9) $ 1.74 + 0.01 0.01 $ 1.74{{+0.01}\atop { -0.01}} $ U ( 1.4 , 1.7 ) $ {\cal {{U}}}(1.4, 1.7) $ 1.59 + 0.02 0.02 $ 1.59{{+0.02}\atop { -0.02}} $ U ( 1.1 , 1.5 ) $ {\cal {{U}}}(1.1, 1.5) $ 1.31 + 0.02 0.02 $ 1.31{{+0.02}\atop { -0.02}} $

Notes. All variance parameters are expressed relative to the noise variance estimated from the time-differenced data. The prior ranges for the variance parameters of the different components are chosen to be very broad, having no impact on this analysis.

a

‘RBF’ is the radial basis function; ‘Matérn 3/2’ and ‘Matérn 5/2’ are Matérn class functions (Rasmussen & Williams 2006) with ν=3/2 and ν=5/2, respectively.

b

The coherence-scale of the mode mixing components is baseline dependent, as defined by the foregrounds wedge equation. The corresponding coherence-scales for each redshift bins can be seen in Figure 8.

c

The 21 cm component is learned from Grizzly simulations.

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