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Table 2

Comparison of the model performances for Gl 725 B using different combinations of time series.

Time series Model log ℒmax χred 2$\[\chi_{\text {red }}^{2}\]$ BIC log BF RMS (m/s)
RV only Offset + wapiti + trend −552.04 1.050 1141.33 0 3.6
Offset + Wapiti + Trend + 1p (circular) −540.16 1.068 1133.55 3.9 3.4
Offset + wapiti + trend + 2p (circular) −530.63 1.090 1130.47 5.4 3.3
Offset + wapiti + trend + 2p (eccentric) −529.67 1.113 1149.83 −4.3 3.2

RV + dET Offset + wapiti + trend −1023.37 1.231 2100.96 −36.6 3.8
Offset + wapiti + trend + GP (β1 = β2 = 0) −971.71 0.768 2027.76 0 3.5
Offset + wapiti + trend + GP (β1 = β2 = 0) + 1 p (circular) −958.56 0.770 2019.52 4.1 3.3
Offset + wapiti + trend + GP (β1 = β2 = 0) + 2p (circular) −947.44 0.751 2015.35 6.2 3.1
Offset + wapiti + trend + GP (β1 = β2 = 0) + 2p (eccentric) −946.39 0.755 2037.35 −4.8 3.1

RV + dET + B Offset + wapiti + trend −1680.02 1.754 3430.79 −34.8 3.8
Offset + wapiti + trend + GP (β1 = β2 = 0) −1622.75 1.229 3361.27 0 3.5
Offset + wapiti + trend + GP (β1 = β2 = 0) + 1 p (circular) −1609.92 1.286 3354.89 3.2 3.3
Offset + wapiti + trend + GP (β1 = β2 = 0) + 2p (circular) −1598.76 1.324 3351.86 4.7 3.1
Offset + wapiti + trend + GP (β1 = β2 = 0) + 2 p (eccentric) −1597.59 1.356 3381.69 −10.2 3.1

Notes. Maximum log-likelihood, reduced chi-squared, BIC, log BF, and RMS of the residuals for the best model applied to each combination of time series. The model in bold indicates the best-fit model to the combination of time series.

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