Table 3.
Fit parameters for different samples.
Sample | Function | Assumptions | Power law params |
Linear fit params |
||
---|---|---|---|---|---|---|
γ | N | β1 | β0 | |||
z < 0.4, M* > 1010.05 | q(M* − 1010.05) |
![]() |
−0.16 ± 0.01 | 1.99 ± 0.01 | −0.22 ± 0.01 | 2.00 ± 0.01 |
z < 1.0, M* > 1010.45 | q(z) |
![]() |
−0.04 ± 0.01 | 1.94 ± 0.01 | −0.06 ± 0.01 | 1.93 ± 0.01 |
Delvecchio et al. (2021) | q(M* − 1010) | ν = 1.4 GHz | −0.12 ± 0.02 | 2.59 ± 0.01 | ||
Calistro Rivera et al. (2017) | q(z) | −0.22 ± 0.05 | 1.72 ± 0.04 |
Notes. The sample column shows the sample considered and where it originates from. The Function column the variables which qTIR is a function of. The Assumptions column lists any extra details the reader should know about the fit, such as the frequency of the observations and the spectral index used. The slope and normalisation of the power law fit are shown in the γ and the N columns respectively while the slope and intercept of the linear fit are shown in β1 and β0.
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