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Table 3

Best-fit parameters found with ForMoSA on the Exo-REM model grid.


Parameters Priors Posteriors
GRAVITY (fixed) GRAVITY GRAVITY MATISSE
+ MATISSE + MATISSE (fixed)* only only
Fitted parameters

Teff [K] 𝒰(400, 2000) 1529 ± 3 1529 ± 3 1524 ± 4 1700 ± 3
log g [dex] 𝒰(3, 5) 3.84 ± 0.03 3.83 ± 0.04 3.860.04+0.03$\[3.86_{-0.04}^{+0.03}\]$ 4.050.03+0.04$\[4.05_{-0.03}^{+0.04}\]$
[M/H] 𝒰(−0.5, 1.0) 0.30 ± 0.03 0.30 ± 0.03 0.340.04+0.03$\[0.34_{-0.04}^{+0.03}\]$ 0.00 ± 0.02
C/O 𝒰(0.1, 0.8) 0.5390.002+0.003$\[0.539_{-0.002}^{+0.003}\]$ 0.539 ± 0.003 0.524 ± 0.004 0.776 ± 0.002
M [MJup] 𝒩(12.7, 2.2) 10.5 ± 0.7 11.8 ± 0.9 11.1 ± 0.8 12.71.5+1.3$\[12.7_{-1.5}^{+1.3}\]$
d [pc] 𝒩(19.44, 0.05) 19.44 ± 0.05 19.44 ± 0.05 19.45 ± 0.05 19.44 ± 0.05
αGRAVITY 1 or 𝒰(0.1, 2.0) 1 (fixed) 1.151 ± 0.006 1 (fixed)
αMATISSE 1 or 𝒰(0.1, 2.0) 0.870 ± 0.004 1 (fixed) 1 (fixed)

Derived parameters

R [RJup] 1.943 ± 0.008 2.0850.009+0.008$\[2.085_{-0.009}^{+0.008}\]$ 1.957 ± 0.009 1.74 ± 0.02
log L/L −3.726 ± 0.002 −3.666 ± 0.003 −3.725 ± 0.003 3.6400.004+0.005$\[-3.640_{-0.004}^{+0.005}\]$

Goodness of fit

log z −790.6 ± 0.2 −790.2 ± 0.2 −285.2 ± 0.4 −399.8 ± 0.4
χr,total2$\[\chi_{r, \text {total}}^{2}\]$ 3.2943 3.2937
χr,GRAVITY2$\[\chi_{r, \text {GRAVITY}}^{2}\]$ 2.3847 2.3839 2.342
χr,MATISSE2$\[\chi_{r, \text {MATISSE}}^{2}\]$ 4.2840 4.2837 3.297

Notes. 𝒰(xmin, xmax) and 𝒩(μ, σ) designate a uniform prior between xmin and xmax, and a Gaussian prior of mean μ and standard deviation σ, respectively. The model marked with an asterisk is the model used later in the paper.

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