Table 2.
Best-fitting linear bias parameters from each tomographic bin.
| Zbin | zmean | bg | ⟨bPe⟩ [meV cm−3] | χ2/d.o.f. | PTE |
|---|---|---|---|---|---|
| 0.1 < ZB ≤ 0.3 | 0.23 | 1.26 |
0.12 |
1.15 | 0.22 |
| 0.3 < ZB ≤ 0.5 | 0.38 | 0.78 |
0.21 |
1.15 | 0.39 |
| 0.5 < ZB ≤ 0.7 | 0.54 | 0.54 |
0.35 |
0.96 | 0.53 |
| 0.7 < ZB ≤ 0.9 | 0.77 | 0.59 |
0.38 |
1.06 | 0.4 |
| 0.9 < ZB ≤ 1.2 | 0.96 | 1.05 |
0.16 |
1.46 | 0.09 |
Notes. The results correspond to the non-linear power spectrum model being the default halo model. The best-fit parameter values and errors are calculated as the modes and standard deviations of the Gaussian KDE fit of marginalised posterior distributions. PTE stands for the probability-to-exceed of the corresponding reduced χ2 value.
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