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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