Growth rate measurements from a joint analysis of the large-scale galaxy clustering in Fourier and configuration space

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Table 5.

Statistics on the fit of the 1000 eBOSS LRG EZmocks realizations.

			q_∥					q_⊥					f

	N_good	⟨_rχ_min²⟩	Δq_∥	σ_{q_∥}	⟨σ_{q_∥}⟩	σ_{Z_{q_∥}}	⟨Z_{q_∥}⟩	Δq_⊥	σ_{q_⊥}	⟨σ_{q_⊥}⟩	σ_{Z_{q_⊥}}	⟨Z_{q_⊥}⟩	Δf	σ_f	⟨σ_f⟩	σ_{Z_f}	⟨Z_f⟩
			[10⁻²]	[10⁻²]	[10⁻²]			[10⁻²]	[10⁻²]	[10⁻²]			[10⁻²]	[10⁻²]	[10⁻²]
CS	1000	0.72	0.88	3.96	3.88	1.02	−0.04	0.04	2.54	2.40	1.07	−0.03	3.48	13.7	14.3	0.89	−0.08
FS	999	1.09	3.16	4.21	3.97	1.06	−0.08	0.20	2.51	2.44	1.00	−0.03	2.94	11.9	12.6	0.90	−0.07
GA	999	−	1.95	4.00	3.65	1.19	−0.02	0.10	2.37	2.24	1.12	−0.03	4.14	11.1	11.9	1.10	−0.08
JS_sep	1000	0.92	3.73	4.08	3.54	1.09	−0.06	0.65	2.98	2.34	1.31	−0.02	−0.98	11.6	11.1	0.92	−0.03

Notes. Here, N_good is the number of valid realizations after removing undefined contours and extreme values and errors. We show the mean value of the best-fit reduced _rχ_min². For each parameter p, we show the average bias Δp = ⟨p_i − p_exp⟩, the standard deviation of best-fit values $σ_{p} = \sqrt{⟨ p_{i}^{2} ⟩ - {⟨ p_{i} ⟩}^{2}}$ $Mathematical equation: $ \sigma_{p} = \sqrt{\langle p_i^2 \rangle - \langle p_i \rangle^2} $$ , and the average of the per-mock estimated uncertainties ⟨σ_{p_i}⟩. The pull is defined as Z_{p_i} ≡ (p_i − ⟨p_i⟩)/σ_{p_i} and we show values for the mean of the pull, ⟨Z_{p_i}⟩ and its standard deviation σ_{Z_{p_i}}.

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