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Table 3

Relative posterior probabilities of models with k = 0,...,6 Keplerian signals (ℳk) and the periods (Ps) of the signals added to the model when increasing the number of signals in the model by one.

k P(ℳk | d) log P(d | ℳk) rms [m s-1] Ps [days]

0 1.6  ×  10-127 –765.92  ±  0.06 2.20
1 8.5  ×  10-106 –715.20  ±  0.04 1.88 9.6
2 7.7  ×  10-74 –640.92  ±  0.13 1.50 20.4
3 3.5  ×  10-34 –548.90  ±  0.27 1.16 4.3
4 1.1  ×  10-21 –519.43  ±  0.14 1.05 50.8
5 4.1  ×  10-10 –492.12  ±  0.05 0.99 198
6  ~1 –469.40  ±  0.12 0.92 34.7

Notes. P(d | ℳk) is the Bayesian evidence and rms denotes the common root mean square value of the residuals for comparison.

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