W1. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.024^{+0.024}_{-0.024}$ | -- | $5.019$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4172^{+0.0053}_{-0.0053}$ | -- | $1.4184$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237163^{+0.000031}_{-0.000029}$ | -- | $2.237157$ |
$q$ | $3.545^{+0.030}_{-0.030}$ | -- | $3.538$ |
$t_c$ (s) | $1.187008882443431^{+0.000000000000065}_{-0.000000000000061}\times 10^{9}$ | -- | $1.187008882443422\times 10^{9}$ |
SNR | $1253.0573^{+0.0013}_{-0.0027}$ | -- | $1253.0592$ |
Detectors: H1
Number of posterior samples: 95547
Link to File
W2. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.043^{+0.021}_{-0.020}$ | -- | $5.034$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4129^{+0.0045}_{-0.0046}$ | -- | $1.4151$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237193^{+0.000026}_{-0.000024}$ | -- | $2.237183$ |
$q$ | $3.569^{+0.027}_{-0.025}$ | -- | $3.557$ |
$t_c$ (s) | $1.187008882443399^{+0.000000000000062}_{-0.000000000000057}\times 10^{9}$ | -- | $1.187008882443371\times 10^{9}$ |
SNR | $1253.0556^{+0.0012}_{-0.0026}$ | -- | $1253.0572$ |
Detectors: H1
Number of posterior samples: 91460
Link to File
W3. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.059^{+0.017}_{-0.024}$ | -- | $5.077$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4094^{+0.0053}_{-0.0037}$ | -- | $1.4055$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237220^{+0.000023}_{-0.000027}$ | -- | $2.237240$ |
$q$ | $3.590^{+0.021}_{-0.030}$ | -- | $3.612$ |
$t_c$ (s) | $1.187008882443413^{+0.000000000000046}_{-0.000000000000071}\times 10^{9}$ | -- | $1.187008882443464\times 10^{9}$ |
SNR | $1252.5995^{+0.0013}_{-0.0026}$ | -- | $1252.6013$ |
Detectors: H1
Number of posterior samples: 91756
Link to File
W4. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.168^{+0.021}_{-0.022}$ | -- | $5.180$ |
$m_2~(\mathrm{M}_\odot)$ | $1.3859^{+0.0046}_{-0.0044}$ | -- | $1.3835$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237391^{+0.000026}_{-0.000027}$ | -- | $2.237403$ |
$q$ | $3.729^{+0.027}_{-0.028}$ | -- | $3.744$ |
$t_c$ (s) | $1.187008882443224^{+0.000000000000060}_{-0.000000000000061}\times 10^{9}$ | -- | $1.187008882443259\times 10^{9}$ |
SNR | $1252.5393^{+0.0012}_{-0.0026}$ | -- | $1252.5410$ |
Detectors: H1
Number of posterior samples: 91195
Link to File
W5. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.047^{+0.022}_{-0.024}$ | -- | $5.056$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4122^{+0.0055}_{-0.0049}$ | -- | $1.4101$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237199^{+0.000030}_{-0.000030}$ | -- | $2.237208$ |
$q$ | $3.574^{+0.028}_{-0.031}$ | -- | $3.586$ |
$t_c$ (s) | $1.187008882443419^{+0.000000000000055}_{-0.000000000000069}\times 10^{9}$ | -- | $1.187008882443463\times 10^{9}$ |
SNR | $1255.2577^{+0.0013}_{-0.0028}$ | -- | $1255.2596$ |
Detectors: H1
Number of posterior samples: 94949
Link to File
W6. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.052^{+0.017}_{-0.023}$ | -- | $5.064$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4109^{+0.0052}_{-0.0038}$ | -- | $1.4083$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237208^{+0.000023}_{-0.000027}$ | -- | $2.237220$ |
$q$ | $3.581^{+0.022}_{-0.030}$ | -- | $3.596$ |
$t_c$ (s) | $1.187008882443412^{+0.000000000000050}_{-0.000000000000068}\times 10^{9}$ | -- | $1.187008882443450\times 10^{9}$ |
SNR | $1255.2577^{+0.0012}_{-0.0027}$ | -- | $1255.2594$ |
Detectors: H1
Number of posterior samples: 91218
Link to File
W7. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.159^{+0.023}_{-0.019}$ | -- | $5.139$ |
$m_2~(\mathrm{M}_\odot)$ | $1.3879^{+0.0041}_{-0.0048}$ | -- | $1.3920$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237375^{+0.000027}_{-0.000025}$ | -- | $2.237353$ |
$q$ | $3.717^{+0.029}_{-0.025}$ | -- | $3.692$ |
$t_c$ (s) | $1.187008882443218^{+0.000000000000066}_{-0.000000000000053}\times 10^{9}$ | -- | $1.187008882443163\times 10^{9}$ |
SNR | $1255.2012^{+0.0013}_{-0.0027}$ | -- | $1255.2030$ |
Detectors: H1
Number of posterior samples: 91611
Link to File
W8. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.048^{+0.025}_{-0.022}$ | -- | $5.034$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4119^{+0.0049}_{-0.0054}$ | -- | $1.4149$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237210^{+0.000032}_{-0.000028}$ | -- | $2.237197$ |
$q$ | $3.575^{+0.031}_{-0.028}$ | -- | $3.558$ |
$t_c$ (s) | $1.187008882443394^{+0.000000000000068}_{-0.000000000000058}\times 10^{9}$ | -- | $1.187008882443353\times 10^{9}$ |
SNR | $1254.1093^{+0.0014}_{-0.0027}$ | -- | $1254.1113$ |
Detectors: H1
Number of posterior samples: 95193
Link to File
W9. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.049^{+0.023}_{-0.018}$ | -- | $5.032$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4116^{+0.0040}_{-0.0050}$ | -- | $1.4154$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237213^{+0.000026}_{-0.000023}$ | -- | $2.237195$ |
$q$ | $3.577^{+0.029}_{-0.023}$ | -- | $3.555$ |
$t_c$ (s) | $1.187008882443386^{+0.000000000000069}_{-0.000000000000049}\times 10^{9}$ | -- | $1.187008882443336\times 10^{9}$ |
SNR | $1254.1095^{+0.0012}_{-0.0026}$ | -- | $1254.1113$ |
Detectors: H1
Number of posterior samples: 92141
Link to File
W10. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.158^{+0.025}_{-0.015}$ | -- | $5.144$ |
$m_2~(\mathrm{M}_\odot)$ | $1.3880^{+0.0031}_{-0.0053}$ | -- | $1.3911$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237383^{+0.000028}_{-0.000022}$ | -- | $2.237366$ |
$q$ | $3.716^{+0.033}_{-0.019}$ | -- | $3.698$ |
$t_c$ (s) | $1.187008882443198^{+0.000000000000076}_{-0.000000000000038}\times 10^{9}$ | -- | $1.187008882443159\times 10^{9}$ |
SNR | $1254.0511^{+0.0014}_{-0.0026}$ | -- | $1254.0532$ |
Detectors: H1
Number of posterior samples: 92565
Link to File
W11. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.032^{+0.023}_{-0.024}$ | -- | $5.046$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4153^{+0.0054}_{-0.0052}$ | -- | $1.4124$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237180^{+0.000031}_{-0.000030}$ | -- | $2.237193$ |
$q$ | $3.556^{+0.030}_{-0.031}$ | -- | $3.573$ |
$t_c$ (s) | $1.187008882443422^{+0.000000000000060}_{-0.000000000000067}\times 10^{9}$ | -- | $1.187008882443467\times 10^{9}$ |
SNR | $1254.7296^{+0.0014}_{-0.0028}$ | -- | $1254.7315$ |
Detectors: H1
Number of posterior samples: 95417
Link to File
W12. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.043^{+0.020}_{-0.022}$ | -- | $5.041$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4129^{+0.0050}_{-0.0043}$ | -- | $1.4135$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237197^{+0.000025}_{-0.000027}$ | -- | $2.237195$ |
$q$ | $3.570^{+0.025}_{-0.028}$ | -- | $3.566$ |
$t_c$ (s) | $1.187008882443404^{+0.000000000000057}_{-0.000000000000062}\times 10^{9}$ | -- | $1.187008882443396\times 10^{9}$ |
SNR | $1254.7293^{+0.0012}_{-0.0026}$ | -- | $1254.7309$ |
Detectors: H1
Number of posterior samples: 91330
Link to File
W13. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.151^{+0.025}_{-0.017}$ | -- | $5.135$ |
$m_2~(\mathrm{M}_\odot)$ | $1.3895^{+0.0036}_{-0.0052}$ | -- | $1.3930$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237361^{+0.000028}_{-0.000023}$ | -- | $2.237344$ |
$q$ | $3.707^{+0.032}_{-0.022}$ | -- | $3.686$ |
$t_c$ (s) | $1.187008882443210^{+0.000000000000073}_{-0.000000000000045}\times 10^{9}$ | -- | $1.187008882443162\times 10^{9}$ |
SNR | $1252.9822^{+0.0013}_{-0.0026}$ | -- | $1252.9842$ |
Detectors: H1
Number of posterior samples: 92216
Link to File
W14. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.152^{+0.024}_{-0.019}$ | -- | $5.135$ |
$m_2~(\mathrm{M}_\odot)$ | $1.3893^{+0.0040}_{-0.0050}$ | -- | $1.3930$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237367^{+0.000028}_{-0.000024}$ | -- | $2.237348$ |
$q$ | $3.709^{+0.031}_{-0.024}$ | -- | $3.686$ |
$t_c$ (s) | $1.187008882443215^{+0.000000000000069}_{-0.000000000000050}\times 10^{9}$ | -- | $1.187008882443163\times 10^{9}$ |
SNR | $1254.6610^{+0.0012}_{-0.0027}$ | -- | $1254.6628$ |
Detectors: H1
Number of posterior samples: 92059
Link to File
W15. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.058^{+0.021}_{-0.025}$ | -- | $5.067$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4096^{+0.0056}_{-0.0047}$ | -- | $1.4076$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237217^{+0.000030}_{-0.000031}$ | -- | $2.237224$ |
$q$ | $3.588^{+0.027}_{-0.032}$ | -- | $3.600$ |
$t_c$ (s) | $1.187008882443416^{+0.000000000000049}_{-0.000000000000073}\times 10^{9}$ | -- | $1.187008882443460\times 10^{9}$ |
SNR | $1257.4426^{+0.0014}_{-0.0028}$ | -- | $1257.4447$ |
Detectors: H1
Number of posterior samples: 95788
Link to File
W16. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.057^{+0.016}_{-0.024}$ | -- | $5.071$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4100^{+0.0054}_{-0.0035}$ | -- | $1.4068$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237214^{+0.000022}_{-0.000027}$ | -- | $2.237229$ |
$q$ | $3.586^{+0.020}_{-0.031}$ | -- | $3.605$ |
$t_c$ (s) | $1.187008882443421^{+0.000000000000043}_{-0.000000000000072}\times 10^{9}$ | -- | $1.187008882443467\times 10^{9}$ |
SNR | $1257.4428^{+0.0013}_{-0.0026}$ | -- | $1257.4447$ |
Detectors: H1
Number of posterior samples: 91762
Link to File
W17. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.165^{+0.020}_{-0.022}$ | -- | $5.185$ |
$m_2~(\mathrm{M}_\odot)$ | $1.3865^{+0.0047}_{-0.0042}$ | -- | $1.3824$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237384^{+0.000025}_{-0.000027}$ | -- | $2.237404$ |
$q$ | $3.726^{+0.026}_{-0.029}$ | -- | $3.751$ |
$t_c$ (s) | $1.187008882443233^{+0.000000000000056}_{-0.000000000000064}\times 10^{9}$ | -- | $1.187008882443291\times 10^{9}$ |
SNR | $1257.3898^{+0.0013}_{-0.0027}$ | -- | $1257.3915$ |
Detectors: H1
Number of posterior samples: 91505
Link to File
W18. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.047^{+0.025}_{-0.021}$ | -- | $5.030$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4122^{+0.0048}_{-0.0054}$ | -- | $1.4159$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237207^{+0.000031}_{-0.000028}$ | -- | $2.237189$ |
$q$ | $3.574^{+0.031}_{-0.027}$ | -- | $3.552$ |
$t_c$ (s) | $1.187008882443383^{+0.000000000000071}_{-0.000000000000056}\times 10^{9}$ | -- | $1.187008882443340\times 10^{9}$ |
SNR | $1261.3188^{+0.0014}_{-0.0028}$ | -- | $1261.3208$ |
Detectors: H1
Number of posterior samples: 95306
Link to File
W19. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.044^{+0.023}_{-0.018}$ | -- | $5.028$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4129^{+0.0040}_{-0.0051}$ | -- | $1.4165$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237203^{+0.000027}_{-0.000023}$ | -- | $2.237187$ |
$q$ | $3.570^{+0.030}_{-0.023}$ | -- | $3.549$ |
$t_c$ (s) | $1.187008882443385^{+0.000000000000070}_{-0.000000000000049}\times 10^{9}$ | -- | $1.187008882443335\times 10^{9}$ |
SNR | $1261.3190^{+0.0013}_{-0.0026}$ | -- | $1261.3208$ |
Detectors: H1
Number of posterior samples: 91759
Link to File
W20. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.151^{+0.026}_{-0.015}$ | -- | $5.139$ |
$m_2~(\mathrm{M}_\odot)$ | $1.3895^{+0.0031}_{-0.0054}$ | -- | $1.3921$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237371^{+0.000028}_{-0.000021}$ | -- | $2.237359$ |
$q$ | $3.707^{+0.033}_{-0.019}$ | -- | $3.692$ |
$t_c$ (s) | $1.187008882443196^{+0.000000000000077}_{-0.000000000000035}\times 10^{9}$ | -- | $1.187008882443159\times 10^{9}$ |
SNR | $1261.2681^{+0.0014}_{-0.0027}$ | -- | $1261.2701$ |
Detectors: H1
Number of posterior samples: 92937
Link to File
W21. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.046^{+0.020}_{-0.026}$ | -- | $5.060$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4123^{+0.0058}_{-0.0045}$ | -- | $1.4092$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237199^{+0.000028}_{-0.000031}$ | -- | $2.237214$ |
$q$ | $3.573^{+0.026}_{-0.033}$ | -- | $3.591$ |
$t_c$ (s) | $1.187008882443429^{+0.000000000000047}_{-0.000000000000072}\times 10^{9}$ | -- | $1.187008882443475\times 10^{9}$ |
SNR | $1256.4645^{+0.0014}_{-0.0028}$ | -- | $1256.4666$ |
Detectors: H1
Number of posterior samples: 95718
Link to File
W22. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.050^{+0.015}_{-0.025}$ | -- | $5.063$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4114^{+0.0055}_{-0.0034}$ | -- | $1.4085$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237204^{+0.000021}_{-0.000027}$ | -- | $2.237217$ |
$q$ | $3.578^{+0.019}_{-0.031}$ | -- | $3.595$ |
$t_c$ (s) | $1.187008882443425^{+0.000000000000041}_{-0.000000000000072}\times 10^{9}$ | -- | $1.187008882443469\times 10^{9}$ |
SNR | $1256.4646^{+0.0013}_{-0.0026}$ | -- | $1256.4666$ |
Detectors: H1
Number of posterior samples: 92221
Link to File
W23. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.160^{+0.019}_{-0.024}$ | -- | $5.178$ |
$m_2~(\mathrm{M}_\odot)$ | $1.3876^{+0.0050}_{-0.0040}$ | -- | $1.3839$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237375^{+0.000025}_{-0.000028}$ | -- | $2.237393$ |
$q$ | $3.719^{+0.025}_{-0.030}$ | -- | $3.742$ |
$t_c$ (s) | $1.187008882443239^{+0.000000000000053}_{-0.000000000000067}\times 10^{9}$ | -- | $1.187008882443294\times 10^{9}$ |
SNR | $1256.4053^{+0.0013}_{-0.0025}$ | -- | $1256.4071$ |
Detectors: H1
Number of posterior samples: 91430
Link to File
W24. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.037^{+0.024}_{-0.024}$ | -- | $5.033$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4143^{+0.0054}_{-0.0053}$ | -- | $1.4151$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237183^{+0.000031}_{-0.000031}$ | -- | $2.237179$ |
$q$ | $3.561^{+0.031}_{-0.030}$ | -- | $3.557$ |
$t_c$ (s) | $1.187008882443410^{+0.000000000000060}_{-0.000000000000067}\times 10^{9}$ | -- | $1.187008882443401\times 10^{9}$ |
SNR | $1255.0915^{+0.0014}_{-0.0027}$ | -- | $1255.0935$ |
Detectors: H1
Number of posterior samples: 94614
Link to File
W25. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.086^{+0.024}_{-0.018}$ | -- | $10.080$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4130^{+0.0018}_{-0.0024}$ | -- | $1.4136$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021193^{+0.000038}_{-0.000040}$ | -- | $3.021190$ |
$q$ | $7.138^{+0.029}_{-0.022}$ | -- | $7.131$ |
$t_c$ (s) | $1.187008882443332^{+0.000000000000127}_{-0.000000000000063}\times 10^{9}$ | -- | $1.187008882443266\times 10^{9}$ |
SNR | $1549.2058^{+0.0013}_{-0.0023}$ | -- | $1549.2077$ |
Detectors: H1
Number of posterior samples: 95306
Link to File
W26. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.082^{+0.022}_{-0.014}$ | -- | $10.071$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4134^{+0.0014}_{-0.0023}$ | -- | $1.4145$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021185^{+0.000034}_{-0.000031}$ | -- | $3.021171$ |
$q$ | $7.133^{+0.027}_{-0.017}$ | -- | $7.119$ |
$t_c$ (s) | $1.187008882443334^{+0.000000000000128}_{-0.000000000000057}\times 10^{9}$ | -- | $1.187008882443272\times 10^{9}$ |
SNR | $1549.2058^{+0.0012}_{-0.0022}$ | -- | $1549.2076$ |
Detectors: H1
Number of posterior samples: 95238
Link to File
W27. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.100^{+0.022}_{-0.016}$ | -- | $10.086$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4115^{+0.0017}_{-0.0023}$ | -- | $1.4130$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021221^{+0.000036}_{-0.000033}$ | -- | $3.021205$ |
$q$ | $7.155^{+0.027}_{-0.020}$ | -- | $7.138$ |
$t_c$ (s) | $1.187008882443327^{+0.000000000000130}_{-0.000000000000078}\times 10^{9}$ | -- | $1.187008882443246\times 10^{9}$ |
SNR | $1549.2018^{+0.0011}_{-0.0022}$ | -- | $1549.2035$ |
Detectors: H1
Number of posterior samples: 94128
Link to File
W28. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.086^{+0.023}_{-0.029}$ | -- | $10.098$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4129^{+0.0029}_{-0.0024}$ | -- | $1.4118$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021174^{+0.000048}_{-0.000049}$ | -- | $3.021190$ |
$q$ | $7.139^{+0.029}_{-0.035}$ | -- | $7.152$ |
$t_c$ (s) | $1.187008882443471^{+0.000000000000076}_{-0.000000000000126}\times 10^{9}$ | -- | $1.187008882443535\times 10^{9}$ |
SNR | $1550.4516^{+0.0012}_{-0.0023}$ | -- | $1550.4532$ |
Detectors: H1
Number of posterior samples: 94319
Link to File
W29. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.103^{+0.013}_{-0.022}$ | -- | $10.112$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4112^{+0.0022}_{-0.0013}$ | -- | $1.4103$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021208^{+0.000032}_{-0.000035}$ | -- | $3.021218$ |
$q$ | $7.160^{+0.016}_{-0.027}$ | -- | $7.171$ |
$t_c$ (s) | $1.187008882443470^{+0.000000000000054}_{-0.000000000000126}\times 10^{9}$ | -- | $1.187008882443523\times 10^{9}$ |
SNR | $1550.4509^{+0.0012}_{-0.0023}$ | -- | $1550.4527$ |
Detectors: H1
Number of posterior samples: 95156
Link to File
W30. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.119^{+0.012}_{-0.019}$ | -- | $10.128$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4096^{+0.0020}_{-0.0012}$ | -- | $1.4087$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021241^{+0.000031}_{-0.000034}$ | -- | $3.021252$ |
$q$ | $7.179^{+0.015}_{-0.024}$ | -- | $7.189$ |
$t_c$ (s) | $1.187008882443452^{+0.000000000000042}_{-0.000000000000111}\times 10^{9}$ | -- | $1.187008882443496\times 10^{9}$ |
SNR | $1550.4460^{+0.0013}_{-0.0023}$ | -- | $1550.4479$ |
Detectors: H1
Number of posterior samples: 95945
Link to File
W31. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.076^{+0.028}_{-0.027}$ | -- | $10.045$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4139^{+0.0028}_{-0.0028}$ | -- | $1.4171$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021155^{+0.000052}_{-0.000048}$ | -- | $3.021105$ |
$q$ | $7.127^{+0.034}_{-0.033}$ | -- | $7.089$ |
$t_c$ (s) | $1.18700888244343^{+0.00000000000010}_{-0.00000000000011}\times 10^{9}$ | -- | $1.18700888244334\times 10^{9}$ |
SNR | $1550.3309^{+0.0012}_{-0.0022}$ | -- | $1550.3326$ |
Detectors: H1
Number of posterior samples: 94166
Link to File
W32. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.094^{+0.016}_{-0.023}$ | -- | $10.109$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4121^{+0.0023}_{-0.0016}$ | -- | $1.4106$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021188^{+0.000033}_{-0.000036}$ | -- | $3.021206$ |
$q$ | $7.148^{+0.020}_{-0.028}$ | -- | $7.166$ |
$t_c$ (s) | $1.187008882443444^{+0.000000000000079}_{-0.000000000000130}\times 10^{9}$ | -- | $1.187008882443527\times 10^{9}$ |
SNR | $1550.3304^{+0.0011}_{-0.0021}$ | -- | $1550.3320$ |
Detectors: H1
Number of posterior samples: 93931
Link to File
W33. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.112^{+0.014}_{-0.021}$ | -- | $10.122$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4103^{+0.0022}_{-0.0014}$ | -- | $1.4093$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021223^{+0.000032}_{-0.000034}$ | -- | $3.021234$ |
$q$ | $7.170^{+0.017}_{-0.026}$ | -- | $7.182$ |
$t_c$ (s) | $1.187008882443438^{+0.000000000000058}_{-0.000000000000126}\times 10^{9}$ | -- | $1.187008882443498\times 10^{9}$ |
SNR | $1550.3225^{+0.0012}_{-0.0022}$ | -- | $1550.3243$ |
Detectors: H1
Number of posterior samples: 94701
Link to File
W34. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.084^{+0.029}_{-0.025}$ | -- | $10.056$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4131^{+0.0025}_{-0.0029}$ | -- | $1.4160$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021178^{+0.000050}_{-0.000049}$ | -- | $3.021134$ |
$q$ | $7.136^{+0.035}_{-0.030}$ | -- | $7.102$ |
$t_c$ (s) | $1.187008882443388^{+0.000000000000120}_{-0.000000000000089}\times 10^{9}$ | -- | $1.187008882443306\times 10^{9}$ |
SNR | $1546.6294^{+0.0012}_{-0.0022}$ | -- | $1546.6311$ |
Detectors: H1
Number of posterior samples: 94160
Link to File
W35. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.040^{+0.020}_{-0.021}$ | -- | $5.040$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4137^{+0.0048}_{-0.0045}$ | -- | $1.4137$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237188^{+0.000025}_{-0.000026}$ | -- | $2.237187$ |
$q$ | $3.565^{+0.026}_{-0.027}$ | -- | $3.565$ |
$t_c$ (s) | $1.187008882443402^{+0.000000000000059}_{-0.000000000000060}\times 10^{9}$ | -- | $1.187008882443404\times 10^{9}$ |
SNR | $1255.0917^{+0.0012}_{-0.0026}$ | -- | $1255.0934$ |
Detectors: H1
Number of posterior samples: 91375
Link to File
W36. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.096^{+0.021}_{-0.020}$ | -- | $10.097$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4120^{+0.0020}_{-0.0021}$ | -- | $1.4118$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021199^{+0.000036}_{-0.000035}$ | -- | $3.021201$ |
$q$ | $7.150^{+0.025}_{-0.024}$ | -- | $7.152$ |
$t_c$ (s) | $1.18700888244340^{+0.00000000000011}_{-0.00000000000011}\times 10^{9}$ | -- | $1.18700888244341\times 10^{9}$ |
SNR | $1546.6292^{+0.0010}_{-0.0022}$ | -- | $1546.6306$ |
Detectors: H1
Number of posterior samples: 93409
Link to File
W37. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.116^{+0.016}_{-0.023}$ | -- | $10.129$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4099^{+0.0024}_{-0.0016}$ | -- | $1.4086$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021237^{+0.000033}_{-0.000036}$ | -- | $3.021253$ |
$q$ | $7.175^{+0.020}_{-0.028}$ | -- | $7.191$ |
$t_c$ (s) | $1.187008882443403^{+0.000000000000082}_{-0.000000000000132}\times 10^{9}$ | -- | $1.187008882443478\times 10^{9}$ |
SNR | $1546.6255^{+0.0011}_{-0.0022}$ | -- | $1546.6270$ |
Detectors: H1
Number of posterior samples: 93958
Link to File
W38. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.088^{+0.023}_{-0.024}$ | -- | $10.097$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4128^{+0.0025}_{-0.0023}$ | -- | $1.4118$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021178^{+0.000039}_{-0.000046}$ | -- | $3.021192$ |
$q$ | $7.141^{+0.028}_{-0.030}$ | -- | $7.152$ |
$t_c$ (s) | $1.18700888244339^{+0.00000000000011}_{-0.00000000000010}\times 10^{9}$ | -- | $1.18700888244342\times 10^{9}$ |
SNR | $1550.8618^{+0.0011}_{-0.0022}$ | -- | $1550.8633$ |
Detectors: H1
Number of posterior samples: 93471
Link to File
W39. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.086^{+0.021}_{-0.020}$ | -- | $10.079$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4129^{+0.0020}_{-0.0021}$ | -- | $1.4137$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021174^{+0.000035}_{-0.000035}$ | -- | $3.021167$ |
$q$ | $7.139^{+0.026}_{-0.024}$ | -- | $7.129$ |
$t_c$ (s) | $1.18700888244339^{+0.00000000000012}_{-0.00000000000010}\times 10^{9}$ | -- | $1.18700888244335\times 10^{9}$ |
SNR | $1550.8618^{+0.0010}_{-0.0022}$ | -- | $1550.8632$ |
Detectors: H1
Number of posterior samples: 93544
Link to File
W40. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.106^{+0.018}_{-0.022}$ | -- | $10.120$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4109^{+0.0023}_{-0.0018}$ | -- | $1.4095$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021211^{+0.000034}_{-0.000036}$ | -- | $3.021227$ |
$q$ | $7.162^{+0.022}_{-0.027}$ | -- | $7.180$ |
$t_c$ (s) | $1.187008882443397^{+0.000000000000091}_{-0.000000000000125}\times 10^{9}$ | -- | $1.187008882443480\times 10^{9}$ |
SNR | $1550.8561^{+0.0011}_{-0.0021}$ | -- | $1550.8576$ |
Detectors: H1
Number of posterior samples: 93594
Link to File
W41. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.097^{+0.023}_{-0.027}$ | -- | $10.115$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4118^{+0.0027}_{-0.0024}$ | -- | $1.4100$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021204^{+0.000042}_{-0.000049}$ | -- | $3.021229$ |
$q$ | $7.152^{+0.029}_{-0.033}$ | -- | $7.174$ |
$t_c$ (s) | $1.18700888244341^{+0.00000000000010}_{-0.00000000000011}\times 10^{9}$ | -- | $1.18700888244347\times 10^{9}$ |
SNR | $1550.4175^{+0.0011}_{-0.0022}$ | -- | $1550.4190$ |
Detectors: H1
Number of posterior samples: 93705
Link to File
W42. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.098^{+0.019}_{-0.021}$ | -- | $10.099$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4117^{+0.0021}_{-0.0020}$ | -- | $1.4116$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021206^{+0.000035}_{-0.000035}$ | -- | $3.021208$ |
$q$ | $7.153^{+0.024}_{-0.026}$ | -- | $7.154$ |
$t_c$ (s) | $1.18700888244341^{+0.00000000000010}_{-0.00000000000012}\times 10^{9}$ | -- | $1.18700888244341\times 10^{9}$ |
SNR | $1550.4175^{+0.0010}_{-0.0022}$ | -- | $1550.4190$ |
Detectors: H1
Number of posterior samples: 93469
Link to File
W43. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.117^{+0.016}_{-0.023}$ | -- | $10.130$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4098^{+0.0023}_{-0.0016}$ | -- | $1.4085$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021243^{+0.000033}_{-0.000036}$ | -- | $3.021258$ |
$q$ | $7.177^{+0.019}_{-0.028}$ | -- | $7.192$ |
$t_c$ (s) | $1.187008882443412^{+0.000000000000076}_{-0.000000000000131}\times 10^{9}$ | -- | $1.187008882443483\times 10^{9}$ |
SNR | $1550.4151^{+0.0011}_{-0.0022}$ | -- | $1550.4167$ |
Detectors: H1
Number of posterior samples: 94160
Link to File
W44. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.094^{+0.019}_{-0.028}$ | -- | $10.101$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4122^{+0.0029}_{-0.0019}$ | -- | $1.4114$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021180^{+0.000043}_{-0.000050}$ | -- | $3.021186$ |
$q$ | $7.148^{+0.023}_{-0.034}$ | -- | $7.157$ |
$t_c$ (s) | $1.187008882443490^{+0.000000000000056}_{-0.000000000000122}\times 10^{9}$ | -- | $1.187008882443547\times 10^{9}$ |
SNR | $1548.1183^{+0.0013}_{-0.0023}$ | -- | $1548.1202$ |
Detectors: H1
Number of posterior samples: 95061
Link to File
W45. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.103^{+0.012}_{-0.020}$ | -- | $10.110$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4113^{+0.0020}_{-0.0012}$ | -- | $1.4105$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021197^{+0.000031}_{-0.000034}$ | -- | $3.021207$ |
$q$ | $7.158^{+0.015}_{-0.024}$ | -- | $7.168$ |
$t_c$ (s) | $1.187008882443483^{+0.000000000000042}_{-0.000000000000114}\times 10^{9}$ | -- | $1.187008882443524\times 10^{9}$ |
SNR | $1548.1182^{+0.0013}_{-0.0023}$ | -- | $1548.1201$ |
Detectors: H1
Number of posterior samples: 95363
Link to File
W46. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.149^{+0.024}_{-0.018}$ | -- | $5.133$ |
$m_2~(\mathrm{M}_\odot)$ | $1.3901^{+0.0038}_{-0.0051}$ | -- | $1.3935$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237358^{+0.000028}_{-0.000023}$ | -- | $2.237342$ |
$q$ | $3.704^{+0.031}_{-0.023}$ | -- | $3.683$ |
$t_c$ (s) | $1.187008882443212^{+0.000000000000072}_{-0.000000000000047}\times 10^{9}$ | -- | $1.187008882443161\times 10^{9}$ |
SNR | $1255.0343^{+0.0012}_{-0.0027}$ | -- | $1255.0361$ |
Detectors: H1
Number of posterior samples: 91938
Link to File
W47. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.118^{+0.011}_{-0.017}$ | -- | $10.126$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4097^{+0.0018}_{-0.0011}$ | -- | $1.4089$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021231^{+0.000031}_{-0.000032}$ | -- | $3.021244$ |
$q$ | $7.177^{+0.014}_{-0.021}$ | -- | $7.187$ |
$t_c$ (s) | $1.187008882443462^{+0.000000000000033}_{-0.000000000000098}\times 10^{9}$ | -- | $1.187008882443497\times 10^{9}$ |
SNR | $1548.1141^{+0.0013}_{-0.0024}$ | -- | $1548.1160$ |
Detectors: H1
Number of posterior samples: 96373
Link to File
W48. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.076^{+0.026}_{-0.021}$ | -- | $10.060$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4139^{+0.0021}_{-0.0026}$ | -- | $1.4156$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021164^{+0.000043}_{-0.000044}$ | -- | $3.021140$ |
$q$ | $7.126^{+0.031}_{-0.025}$ | -- | $7.106$ |
$t_c$ (s) | $1.187008882443349^{+0.000000000000127}_{-0.000000000000070}\times 10^{9}$ | -- | $1.187008882443287\times 10^{9}$ |
SNR | $1552.6468^{+0.0012}_{-0.0023}$ | -- | $1552.6486$ |
Detectors: H1
Number of posterior samples: 94394
Link to File
W49. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.078^{+0.023}_{-0.015}$ | -- | $10.066$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4138^{+0.0016}_{-0.0024}$ | -- | $1.4150$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021167^{+0.000036}_{-0.000033}$ | -- | $3.021157$ |
$q$ | $7.128^{+0.028}_{-0.019}$ | -- | $7.114$ |
$t_c$ (s) | $1.187008882443352^{+0.000000000000133}_{-0.000000000000072}\times 10^{9}$ | -- | $1.187008882443276\times 10^{9}$ |
SNR | $1552.6469^{+0.0011}_{-0.0022}$ | -- | $1552.6485$ |
Detectors: H1
Number of posterior samples: 94321
Link to File
W50. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.096^{+0.022}_{-0.018}$ | -- | $10.089$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4119^{+0.0018}_{-0.0023}$ | -- | $1.4127$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021203^{+0.000036}_{-0.000035}$ | -- | $3.021195$ |
$q$ | $7.151^{+0.027}_{-0.022}$ | -- | $7.141$ |
$t_c$ (s) | $1.187008882443348^{+0.000000000000124}_{-0.000000000000094}\times 10^{9}$ | -- | $1.187008882443301\times 10^{9}$ |
SNR | $1552.6442^{+0.0010}_{-0.0022}$ | -- | $1552.6456$ |
Detectors: H1
Number of posterior samples: 93623
Link to File
W51. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.098^{+0.024}_{-0.026}$ | -- | $10.104$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4117^{+0.0027}_{-0.0024}$ | -- | $1.4111$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021217^{+0.000042}_{-0.000048}$ | -- | $3.021225$ |
$q$ | $7.153^{+0.029}_{-0.032}$ | -- | $7.160$ |
$t_c$ (s) | $1.18700888244340^{+0.00000000000011}_{-0.00000000000011}\times 10^{9}$ | -- | $1.18700888244342\times 10^{9}$ |
SNR | $1559.4498^{+0.0010}_{-0.0022}$ | -- | $1559.4513$ |
Detectors: H1
Number of posterior samples: 93515
Link to File
W52. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.100^{+0.020}_{-0.020}$ | -- | $10.105$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4116^{+0.0021}_{-0.0020}$ | -- | $1.4111$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021219^{+0.000034}_{-0.000035}$ | -- | $3.021224$ |
$q$ | $7.155^{+0.024}_{-0.025}$ | -- | $7.161$ |
$t_c$ (s) | $1.18700888244340^{+0.00000000000011}_{-0.00000000000011}\times 10^{9}$ | -- | $1.18700888244343\times 10^{9}$ |
SNR | $1559.4499^{+0.0010}_{-0.0021}$ | -- | $1559.4513$ |
Detectors: H1
Number of posterior samples: 93503
Link to File
W53. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.118^{+0.017}_{-0.023}$ | -- | $10.127$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4097^{+0.0023}_{-0.0017}$ | -- | $1.4088$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021254^{+0.000033}_{-0.000036}$ | -- | $3.021266$ |
$q$ | $7.177^{+0.021}_{-0.028}$ | -- | $7.189$ |
$t_c$ (s) | $1.187008882443396^{+0.000000000000087}_{-0.000000000000125}\times 10^{9}$ | -- | $1.187008882443451\times 10^{9}$ |
SNR | $1559.4444^{+0.0011}_{-0.0021}$ | -- | $1559.4460$ |
Detectors: H1
Number of posterior samples: 93958
Link to File
W54. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.087^{+0.025}_{-0.027}$ | -- | $10.065$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4129^{+0.0027}_{-0.0025}$ | -- | $1.4151$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021178^{+0.000044}_{-0.000049}$ | -- | $3.021146$ |
$q$ | $7.139^{+0.030}_{-0.033}$ | -- | $7.112$ |
$t_c$ (s) | $1.18700888244340^{+0.00000000000011}_{-0.00000000000011}\times 10^{9}$ | -- | $1.18700888244332\times 10^{9}$ |
SNR | $1552.5499^{+0.0011}_{-0.0022}$ | -- | $1552.5514$ |
Detectors: H1
Number of posterior samples: 93163
Link to File
W55. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.090^{+0.020}_{-0.020}$ | -- | $10.090$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4125^{+0.0021}_{-0.0020}$ | -- | $1.4125$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021184^{+0.000035}_{-0.000034}$ | -- | $3.021186$ |
$q$ | $7.143^{+0.024}_{-0.025}$ | -- | $7.144$ |
$t_c$ (s) | $1.18700888244340^{+0.00000000000011}_{-0.00000000000011}\times 10^{9}$ | -- | $1.18700888244340\times 10^{9}$ |
SNR | $1552.5500^{+0.0010}_{-0.0021}$ | -- | $1552.5514$ |
Detectors: H1
Number of posterior samples: 93258
Link to File
W56. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $10.110^{+0.017}_{-0.023}$ | -- | $10.124$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4105^{+0.0023}_{-0.0017}$ | -- | $1.4091$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $3.021222^{+0.000034}_{-0.000036}$ | -- | $3.021236$ |
$q$ | $7.168^{+0.020}_{-0.028}$ | -- | $7.184$ |
$t_c$ (s) | $1.187008882443409^{+0.000000000000080}_{-0.000000000000131}\times 10^{9}$ | -- | $1.187008882443490\times 10^{9}$ |
SNR | $1552.5410^{+0.0011}_{-0.0022}$ | -- | $1552.5426$ |
Detectors: H1
Number of posterior samples: 93997
Link to File
W57. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.035^{+0.022}_{-0.025}$ | -- | $5.046$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4149^{+0.0057}_{-0.0049}$ | -- | $1.4122$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237184^{+0.000030}_{-0.000031}$ | -- | $2.237196$ |
$q$ | $3.558^{+0.028}_{-0.032}$ | -- | $3.573$ |
$t_c$ (s) | $1.187008882443430^{+0.000000000000056}_{-0.000000000000069}\times 10^{9}$ | -- | $1.187008882443484\times 10^{9}$ |
SNR | $1255.3128^{+0.0014}_{-0.0027}$ | -- | $1255.3148$ |
Detectors: H1
Number of posterior samples: 95773
Link to File
W58. NSBH_C_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.046^{+0.018}_{-0.024}$ | -- | $5.062$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4124^{+0.0054}_{-0.0040}$ | -- | $1.4088$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237201^{+0.000023}_{-0.000028}$ | -- | $2.237218$ |
$q$ | $3.573^{+0.023}_{-0.030}$ | -- | $3.593$ |
$t_c$ (s) | $1.187008882443416^{+0.000000000000051}_{-0.000000000000068}\times 10^{9}$ | -- | $1.187008882443469\times 10^{9}$ |
SNR | $1255.3125^{+0.0012}_{-0.0026}$ | -- | $1255.3142$ |
Detectors: H1
Number of posterior samples: 91220
Link to File
W59. BBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.153^{+0.023}_{-0.019}$ | -- | $5.134$ |
$m_2~(\mathrm{M}_\odot)$ | $1.3891^{+0.0041}_{-0.0048}$ | -- | $1.3932$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237369^{+0.000027}_{-0.000025}$ | -- | $2.237349$ |
$q$ | $3.710^{+0.029}_{-0.025}$ | -- | $3.685$ |
$t_c$ (s) | $1.187008882443224^{+0.000000000000066}_{-0.000000000000054}\times 10^{9}$ | -- | $1.187008882443167\times 10^{9}$ |
SNR | $1255.2479^{+0.0012}_{-0.0026}$ | -- | $1255.2497$ |
Detectors: H1
Number of posterior samples: 91943
Link to File
W60. NSBH_et
Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
---|---|---|---|
$m_1~(\mathrm{M}_\odot)$ | $5.053^{+0.021}_{-0.026}$ | -- | $5.069$ |
$m_2~(\mathrm{M}_\odot)$ | $1.4108^{+0.0057}_{-0.0047}$ | -- | $1.4073$ |
$\mathcal{M}~(\mathrm{M}_\odot)$ | $2.237211^{+0.000030}_{-0.000032}$ | -- | $2.237227$ |
$q$ | $3.582^{+0.027}_{-0.032}$ | -- | $3.602$ |
$t_c$ (s) | $1.187008882443423^{+0.000000000000052}_{-0.000000000000071}\times 10^{9}$ | -- | $1.187008882443477\times 10^{9}$ |
SNR | $1252.5995^{+0.0014}_{-0.0027}$ | -- | $1252.6015$ |
Detectors: H1
Number of posterior samples: 95013
Link to File