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Table C.1

Values of Δχ2 corresponding to CL = (68.27, 95.45, 99.7%) as derived from the Monte-Carlo simulation of correlation functions.

Δχ2: Lyα-only simulation Δχ2: Complete simulation
CL 68.27% 95.45% 99.7% 68.27% 95.45% 99.7%

Cross
α 1.14 ± 0.02 4.76 ± 0.09 10.05 ± 0.53 1.16 ± 0.03 4.77 ± 0.10 10.5 ± 0.79
α 1.18 ± 0.02 4.86 ± 0.08 10.59 ± 0.43 1.23 ± 0.03 4.93 ± 0.11 10.16 ± 0.30
b(1 + β)Lyα 1.04 ± 0.02 4.13 ± 0.09 9.12 ± 0.25 1.04 ± 0.06 4.07 ± 0.22 9.52 ± 1.55
β Lyα 1.02 ± 0.01 4.07 ± 0.09 9.17 ± 0.27 1.00 ± 0.03 4.01 ± 0.23 8.91 ± 1.40
(α,α) 2.62 ± 0.03 7.25 ± 0.05 12.93 ± 0.32 2.65 ± 0.04 7.24 ± 0.09 13.23 ± 0.43

Auto
α 1.14 ± 0.02 4.52 ± 0.10 10.68 ± 0.43 1.16 ± 0.02 4.66 ± 0.11 9.94 ± 0.48
α 1.20 ± 0.01 4.85 ± 0.08 10.84 ± 0.59 1.20 ± 0.03 4.87 ± 0.09 10.36 ± 0.34
b(1 + β)Lyα 0.98 ± 0.02 4.09 ± 0.09 9.25 ± 0.40 0.96 ± 0.02 3.82 ± 0.09 8.65 ± 0.43
β Lyα 0.99 ± 0.01 4.07 ± 0.07 9.48 ± 0.49 1.09 ± 0.02 4.42 ± 0.07 9.67 ± 0.56
(α,α) 2.63 ± 0.03 7.13 ± 0.11 14.22 ± 0.74 2.65 ± 0.05 7.07 ± 0.12 13.63 ± 0.77

Combined
α 1.08 ± 0.02 4.19 ± 0.05 9.73 ± 0.41 1.03 ± 0.03 4.20 ± 0.09 9.89 ± 0.46
α 1.08 ± 0.02 4.37 ± 0.08 10.22 ± 0.53 1.11 ± 0.07 4.19 ± 0.32
b(1 + β)Lyα 1.03 ± 0.02 4.06 ± 0.09 9.41 ± 0.90 0.93 ± 0.04 3.77 ± 0.10 9.31 ± 1.01
β Lyα 1.00 ± 0.01 4.18 ± 0.06 9.18 ± 0.15 1.24 ± 0.05 4.79 ± 0.14 11.24 ± 0.64
(α,α) 2.45 ± 0.02 6.58 ± 0.10 12.95 ± 0.44 2.47 ± 0.05 6.45 ± 0.11 13.5 ± 1.52

Notes. For the four fit variables x = (bLyα(1 + βLyα),βLyα,α,α) and for the combination (α,α), the table gives the range of that includes a percentage CL of the generated data sets. Values are given for fits of the cross- and auto-correlations and for the combined fits. In each of these three cases, values are given for the ~10 000 simulations with only Lyα absorption, and for the ~1000 “complete” simulations with metals, UV fluctuations, and QSO radiation. The uncertainties are statistical, reflecting the number of simulations. For the variables bLyα(1 + βLyα) and βLyα, Δχ2 is close to the nominal values (1,4,9) expected for Gaussian statistics. For α and α the number is consistently higher than the nominal values, as is also the case for the combination (α, α), which is consistently larger than the nominal values (2.29, 6.18, 11.82).

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