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Table 4.

Joint fitting parameters of Insight-HXMT and NuSTAR with M2 (constant*tbabs*(kerrbb2+relxill)).

M2A (D = 2.4 kpc) M2B (D = 6.9 kpc)
Parameter Dataset 1 Dataset 2 Dataset 1 Dataset 2
TBABS
N H $ N_{\mathrm{H}}^{\bigstar} $ 0 . 721 0.014 + 0.008 $ 0.721_{-0.014}^{+0.008} $ 0 . 695 0.011 + 0.009 $ 0.695_{-0.011}^{+0.009} $
KERRBB2
15 . 4 0.5 + 0.4 $ 15.4_{-0.5}^{+0.4} $ 12 . 2 0.4 + 0.3 $ 12.2_{-0.4}^{+0.3} $ 258 8 + 5 $ 258_{-8}^{+5} $ 208 7 + 4 $ 208_{-7}^{+4} $
RELXILL
qin > 8.2 > 9.3 5 . 2 0.8 + 0.7 $ 5.2_{-0.8}^{+0.7} $ 9 . 5 2.2 + 0.4 $ 9.5_{-2.2}^{+0.4} $
Rb 1 . 46 0.03 + 0.04 $ 1.46^{+0.04}_{-0.03} $ 1.53 ± 0.04 32 . 3 24.7 + 61.6 $ 32.3^{+61.6}_{-24.7} $ 7 . 2 4.0 + 50.4 $ 7.2^{+50.4}_{-4.0} $
a* 0 . 972 0.005 + 0.004 $ 0.972_{-0.005}^{+0.004} $ 0 . 464 0.007 + 0.016 $ 0.464_{-0.007}^{+0.016} $
i 38 . 8 0.6 + 1.6 $ 38.8_{-0.6}^{+1.6} $ 43 . 8 0.8 + 0.5 $ 43.8_{-0.8}^{+0.5} $
Γ 1 . 89 0.02 + 0.03 $ 1.89_{-0.02}^{+0.03} $ 1 . 875 0.006 + 0.008 $ 1.875_{-0.006}^{+0.008} $ 1 . 951 0.008 + 0.006 $ 1.951_{-0.008}^{+0.006} $ 1 . 899 0.006 + 0.005 $ 1.899_{-0.006}^{+0.005} $
log ξ 4 . 14 0.06 + 0.04 $ 4.14_{-0.06}^{+0.04} $ 3 . 91 0.06 + 0.03 $ 3.91_{-0.06}^{+0.03} $ 3 . 90 0.06 + 0.05 $ 3.90_{-0.06}^{+0.05} $ 3 . 81 0.05 + 0.03 $ 3.81_{-0.05}^{+0.03} $
A Fe $ A_{\mathrm{Fe}}^{\bigstar} $ > 9.3 5 . 0 0.3 + 0.4 $ 5.0_{-0.3}^{+0.4} $
Ecut > 826.2 673 . 9 102.2 + 86.9 $ 673.9_{-102.2}^{+86.9} $ > 854.0 > 904.1
Rf 0 . 65 0.15 + 0.12 $ 0.65_{-0.15}^{+0.12} $ 0 . 41 0.04 + 0.03 $ 0.41_{-0.04}^{+0.03} $ 0.44 ± 0.04 0.36 ± 0.02
norm 6 . 3 0.6 + 0.7 $ 6.3_{-0.6}^{+0.7} $ 7 . 5 0.2 + 0.3 $ 7.5_{-0.2}^{+0.3} $ 7 . 5 0.3 + 0.2 $ 7.5_{-0.3}^{+0.2} $ 7.9 ± 0.2

Flux 1.12 1.00 1.11 0.98

χ2/dof 6372.2/6358 = 1.002 6406.9/6358 = 1.008

Notes. All errors are quoted at the 90% confidence level. The probability distributions of parameters for M2A and M2B obtained from dataset 1 through MCMC are presented in Figs. B.2 and B.3, respectively.

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