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Table 2.

Parameters and constants of GRG population forward model from Sect. 2 alongside their prior ranges and values, as used in the Bayesian inference presented in Sect. 5.

Parameter Uniform prior range Explanation
ξ(lp, 1 = lp, GRG) [ − 3.5, −2] Sect. 2.3
Δξ [ − 3.5, −1.5] Sect. 2.3
bν, ref [1, 100] ⋅ Jy deg−2 Sect. 2.4.1
σref [0.5, 2] Sect. 2.4.1
ζ [ − 0.5, 0] Sect. 2.4.1
nGRG [0, 50] ⋅ (100 Mpc)−3 Sect. 2.5

Constant Value Explanation

lp, GRG 0.7 Mpc Sect. 1
lp, 1 0.7 Mpc Sect. 2.3
lp, 2 5 Mpc Sect. 2.3
lref 0.7 Mpc Sect. 2.4.1
νobs 144 MHz Sect. 2.4.1
zmax 0.5 Sect. 2.4
α −1 Sect. 2.4.1
bν, th 25 Jy deg−2 Sect. 2.4.1
β0, 1 −1.0 Sect. 2.4.2
β0, 2 −1.0 Sect. 2.4.2
βlp, 1 −0.1 Mpc−1 Sect. 2.4.2
βlp, 2 2.4 Mpc−1 Sect. 2.4.2
βz, 1 2.8 Sect. 2.4.2
βz, 2 −6.4 Sect. 2.4.2
Δlp 0.1 Mpc Sect. 4.9.2
Δz 0.02 Sect. 4.9.2
Ω 1.62 sr Appendix E

Notes. The first six constants serve to define the quantitative meaning of the parameters and set the scope of the analysis. The other eleven constants are not arbitrary: they affect the likelihood function and posterior distribution for a given set of parameter definitions and scope.

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