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Table C.1

Result of the Gaussian process emulating the likelihood function after 4000 iterations for the eBOSS LRG sample.

Method sHOD1 sHOD2 eHOD eHOD eHOD eHOD eHOD eHOD
δvir,c Tvirij,c$T_{{\rm{vir}}}^{ij},{\rm{c}}$ Tvirij,b/a$T_{{\rm{vir}}}^{ij},{\rm{b}}/{\rm{a}}$ δannulus ,c δannulus ,b/a T5Mpcij,c$T_{5{\rm{Mpc}}}^{ij},{\rm{c}}$
M1 [13.7,15.0] 14.170.12+0.13${14.17_{ - 0.12}^{ + 0.13}}$ 14.020.06+0.07${14.02_{ - 0.06}^{ + 0.07}}$ 14.020.09+0.12${14.02_{ - 0.09}^{ + 0.12}}$ 13.910.14+0.15${13.91_{ - 0.14}^{ + 0.15}}$ 13.860.09+0.10${13.86_{ - 0.09}^{ + 0.10}}$ 13.920.11+0.14${13.92_{ - 0.11}^{ + 0.14}}$ 13.910.11+0.12${13.91_{ - 0.11}^{ + 0.12}}$ 13.940.11+0.13${13.94_{ - 0.11}^{ + 0.13}}$
σ [0.1,1.2] 0.530.12+0.11${0.53_{ - 0.12}^{ + 0.11}}$ 0.400.13+0.11${0.40_{ - 0.13}^{ + 0.11}}$ 0.500.13+0.11${0.50_{ - 0.11}^{ + 0.11}}$ 0.770.12+0.10${0.77_{ - 0.12}^{ + 0.10}}$ 0.650.13+0.13${0.65_{ - 0.13}^{ + 0.13}}$ 0.740.14+0.09${0.74_{ - 0.14}^{ + 0.09}}$ 0.790.10+0.11${0.79_{ - 0.11}^{ + 0.11}}$ 0.790.09+0.10${0.79_{ - 0.09}^{ + 0.10}}$
α [0.1,1.5] 1.110.15+0.14${1.11_{ - 0.15}^{ + 0.14}}$ 1.120.10+0.16${1.12_{ - 0.10}^{ + 0.16}}$ 0.830.20+0.20${0.83_{ - 0.20}^{ + 0.20}}$ 0.830.14+0.15${0.83_{ - 0.14}^{ + 0.15}}$ 0.920.19+0.13${0.92_{ - 0.13}^{ + 0.13}}$ 0.730.18+0.14${0.73_{ - 0.14}^{ + 0.14}}$ 0.820.11+0.11${0.82_{ - 0.11}^{ + 0.11}}$ 1.020.16+0.09${1.02_{ - 0.09}^{ + 0.09}}$
κ [0.1,1.5] 0.590.31+0.30${0.59_{ - 0.31}^{ + 0.30}}$ 0.720.22+0.21${0.72_{ - 0.22}^{ + 0.21}}$ 0.790.16+0.13${0.79_{ - 0.16}^{ + 0.13}}$ 0.290.15+0.29${0.29_{ - 0.15}^{ + 0.29}}$ 0.730.32+0.20${0.73_{ - 0.32}^{ + 0.20}}$ 0.690.31+0.14${0.69_{ - 0.31}^{ + 0.14}}$ 0.580.32+0.26${0.58_{ - 0.32}^{ + 0.26}}$ 0.450.12+0.16${0.45_{ - 0.12}^{ + 0.16}}$
fic [0.1,1.0] 0.640.15+0.20${0.64_{ - 0.15}^{ + 0.20}}$ 0.450.07+0.10${0.45_{ - 0.07}^{ + 0.10}}$ 0.410.07+0.08${0.41_{ - 0.07}^{ + 0.08}}$ 0.420.18+0.15${0.42_{ - 0.18}^{ + 0.15}}$ 0.340.07+0.08${0.34_{ - 0.07}^{ + 0.08}}$ 0.450.10+0.11${0.45_{ - 0.10}^{ + 0.11}}$ 0.430.09+0.10${0.43_{ - 0.09}^{ + 0.10}}$ 0.450.07+0.09${0.45_{ - 0.07}^{ + 0.09}}$
Acent [−0.5,0.5] 0.010.12+0.15${ - 0.01_{ - 0.12}^{ + 0.15}}$ 0.240.31+0.23${0.24_{ - 0.31}^{ + 0.23}}$ 0.010.13+0.19${0.01_{ - 0.13}^{ + 0.19}}$ 0.040.10+0.14${0.04_{ - 0.10}^{ + 0.14}}$ 0.120.16+0.24${0.12_{ - 0.16}^{ + 0.24}}$ 0.260.38+0.15${0.26_{ - 0.38}^{ + 0.15}}$
Bcent [−0.5,0.5] 0.240.08+0.09${ - 0.24_{ - 0.09}^{ + 0.09}}$ 0.270.09+0.10${ - 0.27_{ - 0.09}^{ + 0.10}}$ 0.200.06+0.07${ - 0.20_{ - 0.06}^{ + 0.07}}$ 0.230.06+0.06${ - 0.23_{ - 0.06}^{ + 0.06}}$ 0.260.08+0.07${ - 0.26_{ - 0.08}^{ + 0.07}}$ 0.200.06+0.06${ - 0.20_{ - 0.06}^{ + 0.06}}$
Asat [−0.5,0.5] 0.130.31+0.20${0.13_{ - 0.31}^{ + 0.20}}$ 0.210.18+0.36${ - 0.21_{ - 0.18}^{ + 0.36}}$ 0.020.14+0.24${ - 0.02_{ - 0.14}^{ + 0.24}}$ 0.140.11+0.12${ - 0.14_{ - 0.11}^{ + 0.12}}$ 0.010.32+0.16${0.01_{ - 0.32}^{ + 0.16}}$ 0.100.24+0.12${ - 0.10_{ - 0.24}^{ + 0.12}}$
Bsat [−0.5,0.5] 0.080.09+0.11${ - 0.08_{ - 0.09}^{ + 0.11}}$ 0.200.27+0.14${0.20_{ - 0.27}^{ + 0.14}}$ 0.080.10+0.21${ - 0.08_{ - 0.10}^{ + 0.21}}$ 0.020.15+0.12${ - 0.02_{ - 0.15}^{ + 0.12}}$ 0.040.22+0.21${0.04_{ - 0.22}^{ + 0.21}}$ 0.04010+0.08${0.04_{ - 010}^{ + 0.08}}$
Mmin 13.280.09+0.09$13.28_{ - 0.09}^{ + 0.09}$ 13.270.17+0.14$13.27_{ - 0.17}^{ + 0.14}$

Notes. We present here the 16, 50, and 84 percentiles of the posterior distributions. The priors are presented in brackets and correspond to uniform priors within the quoted ranges.

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