Table 6.
Best-fit parameters from the eBOSS DR16 LRG sample using different methods.
| Space | q∥ | q⊥ | dm | fσ8 | χ2/d.o.f. |
|---|---|---|---|---|---|
| FS | 1.025 ± 0.047 | 1.017 ± 0.027 | 0.031 ± 0.060 | 0.472 ± 0.054 | 75/(54 − 13) = 1.82 |
| CS | 0.949 ± 0.046 | 0.998 ± 0.025 | −0.180 ± 0.167 | 0.464 ± 0.089 | 69/(72 − 10) = 1.10 |
| GA | 0.988 ± 0.047 | 1.000 ± 0.026 | 0.183 ± 0.028 | 0.476 ± 0.048 | − |
| JSsep | 1.031 ± 0.044 | 0.995 ± 0.021 | −0.041 ± 0.058 | 0.463 ± 0.052 | 144/(126 − 18)=1.34 |
| FS eBOSS | 0.999 ± 0.039 | 1.003 ± 0.030 | – | 0.454 ± 0.046 | – |
| CS eBOSS | 1.013 ± 0.034 | 0.999 ± 0.023 | – | 0.460 ± 0.050 | – |
| GA eBOSS | 1.009 ± 0.034 | 0.998 ± 0.022 | – | 0.449 ± 0.044 | – |
Notes. Fourier space (FS), configuration space (CS), Gaussian approximation (GA), and the joint-space analysis (JSsep). These results are derived from the MCMC chains presented in Fig. 10 and correspond to the argmax values. FS eBOSS corresponds to the main results from Gil-Marín et al. (2020), Table 8, “FS Pk”), CS eBOSS represents the main results from Bautista et al. (2021), Table 14, “RSD ξl”), and GA eBOSS denotes the consensus results combining eBOSS analyses.
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