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Table 3.

CGW recovered from datasets containing only a GWB or a CGW.

Dataset B PSRN CGW $ \mathcal{B}^{\mathrm{CGW}}_{\mathrm{PSRN}} $ Recovered Recovered
CGW frequency CGW amplitude
injGWB01 > 1000 2 . 70 0.16 + 0.05 $ 2.70^{+0.05}_{-0.16} $ nHz 13 . 91 0.35 + 0.35 $ -13.91^{+0.35}_{-0.35} $
injGWB02 > 1000 1 . 7 0.2 + 0.2 $ 1.7^{+0.2}_{-0.2} $ nHz 13 . 87 0.22 + 0.18 $ -13.87^{+0.18}_{-0.22} $
injGWB03 > 1000 2 . 1 0.1 + 0.1 $ 2.1^{+0.1}_{-0.1} $ nHz 13 . 73 0.13 + 0.11 $ -13.73^{+0.11}_{-0.13} $
injCGW5 > 1000 5 . 01 0.03 + 0.06 $ 5.01^{+0.06}_{-0.03} $ nHz 13 . 93 0.14 + 0.13 $ -13.93_{-0.14}^{+0.13} $
injCGW20 > 1000 19 . 99 0.05 + 0.05 $ 19.99^{+0.05}_{-0.05} $ nHz 13 . 65 0.10 + 0.11 $ -13.65^{+0.11}_{-0.10} $

Notes. Columns are dataset name, Bayes factor of PSRN + CGW versus PSRN only, median and 68% credible region of the recovered CGW frequency and amplitude.

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