W1. NSBH_lvc
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.34^{+0.19}_{-0.19}$ | -- | $15.37$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.420^{+0.012}_{-0.012}$ | -- | $1.418$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.61488^{+0.00090}_{-0.00088}$ | -- | $3.61498$ |
| $q$ | $10.80^{+0.23}_{-0.22}$ | -- | $10.84$ |
| $t_c$ (s) | $1.18700888244341^{+0.00000000000018}_{-0.00000000000019}\times 10^{9}$ | -- | $1.18700888244352\times 10^{9}$ |
| SNR | $108.463^{+0.013}_{-0.030}$ | -- | $108.481$ |
Detectors: H1, L1, V1
Number of posterior samples: 67014
Link to File
W2. NSBHC_lvc
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.35^{+0.20}_{-0.20}$ | -- | $15.38$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.420^{+0.013}_{-0.013}$ | -- | $1.418$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.61489^{+0.00093}_{-0.00094}$ | -- | $3.61501$ |
| $q$ | $10.81^{+0.24}_{-0.24}$ | -- | $10.85$ |
| $t_c$ (s) | $1.18700888244340^{+0.00000000000019}_{-0.00000000000020}\times 10^{9}$ | -- | $1.18700888244353\times 10^{9}$ |
| SNR | $108.461^{+0.014}_{-0.030}$ | -- | $108.480$ |
Detectors: H1, L1, V1
Number of posterior samples: 67299
Link to File
W3. NSBHC_et
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.283^{+0.026}_{-0.028}$ | -- | $15.295$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4240^{+0.0018}_{-0.0017}$ | -- | $1.4232$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.614485^{+0.000093}_{-0.000092}$ | -- | $3.614483$ |
| $q$ | $10.733^{+0.031}_{-0.034}$ | -- | $10.747$ |
| $t_c$ (s) | $1.18700888244344^{+0.00000000000013}_{-0.00000000000019}\times 10^{9}$ | -- | $1.18700888244359\times 10^{9}$ |
| SNR | $868.2065^{+0.0019}_{-0.0039}$ | -- | $868.2092$ |
Detectors: H1
Number of posterior samples: 87383
Link to File
W4. BBH_et
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.288^{+0.026}_{-0.028}$ | -- | $15.300$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4236^{+0.0018}_{-0.0016}$ | -- | $1.4228$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.614492^{+0.000092}_{-0.000091}$ | -- | $3.614498$ |
| $q$ | $10.739^{+0.030}_{-0.033}$ | -- | $10.753$ |
| $t_c$ (s) | $1.18700888244343^{+0.00000000000013}_{-0.00000000000020}\times 10^{9}$ | -- | $1.18700888244356\times 10^{9}$ |
| SNR | $868.1885^{+0.0020}_{-0.0038}$ | -- | $868.1913$ |
Detectors: H1
Number of posterior samples: 87500
Link to File
W5. NSBH_ce1
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.274^{+0.022}_{-0.025}$ | -- | $15.280$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4246^{+0.0016}_{-0.0015}$ | -- | $1.4242$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.614450^{+0.000060}_{-0.000059}$ | -- | $3.614451$ |
| $q$ | $10.722^{+0.027}_{-0.030}$ | -- | $10.729$ |
| $t_c$ (s) | $1.18700888244345^{+0.00000000000013}_{-0.00000000000019}\times 10^{9}$ | -- | $1.18700888244357\times 10^{9}$ |
| SNR | $1608.3881^{+0.0011}_{-0.0021}$ | -- | $1608.3897$ |
Detectors: H1
Number of posterior samples: 91329
Link to File
W6. NSBHC_ce1
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.278^{+0.021}_{-0.024}$ | -- | $15.293$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4243^{+0.0016}_{-0.0014}$ | -- | $1.4233$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.614461^{+0.000057}_{-0.000057}$ | -- | $3.614475$ |
| $q$ | $10.727^{+0.025}_{-0.029}$ | -- | $10.745$ |
| $t_c$ (s) | $1.18700888244345^{+0.00000000000013}_{-0.00000000000019}\times 10^{9}$ | -- | $1.18700888244358\times 10^{9}$ |
| SNR | $1608.3879^{+0.0010}_{-0.0020}$ | -- | $1608.3894$ |
Detectors: H1
Number of posterior samples: 91676
Link to File
W7. BBH_ce1
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.283^{+0.020}_{-0.025}$ | -- | $15.299$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4240^{+0.0016}_{-0.0013}$ | -- | $1.4229$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.614470^{+0.000056}_{-0.000059}$ | -- | $3.614487$ |
| $q$ | $10.733^{+0.024}_{-0.029}$ | -- | $10.752$ |
| $t_c$ (s) | $1.18700888244344^{+0.00000000000012}_{-0.00000000000020}\times 10^{9}$ | -- | $1.18700888244357\times 10^{9}$ |
| SNR | $1608.3751^{+0.0011}_{-0.0021}$ | -- | $1608.3767$ |
Detectors: H1
Number of posterior samples: 91621
Link to File
W8. NSBH_ce2
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.273^{+0.019}_{-0.024}$ | -- | $15.260$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4246^{+0.0016}_{-0.0012}$ | -- | $1.4255$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.614444^{+0.000043}_{-0.000045}$ | -- | $3.614424$ |
| $q$ | $10.720^{+0.023}_{-0.028}$ | -- | $10.705$ |
| $t_c$ (s) | $1.18700888244346^{+0.00000000000012}_{-0.00000000000019}\times 10^{9}$ | -- | $1.18700888244341\times 10^{9}$ |
| SNR | $2429.46216^{+0.00073}_{-0.00140}$ | -- | $2429.46324$ |
Detectors: H1
Number of posterior samples: 95330
Link to File
W9. NSBHC_ce2
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.279^{+0.016}_{-0.022}$ | -- | $15.290$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4242^{+0.0014}_{-0.0011}$ | -- | $1.4235$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.614456^{+0.000039}_{-0.000040}$ | -- | $3.614468$ |
| $q$ | $10.728^{+0.019}_{-0.026}$ | -- | $10.741$ |
| $t_c$ (s) | $1.18700888244347^{+0.00000000000011}_{-0.00000000000019}\times 10^{9}$ | -- | $1.18700888244357\times 10^{9}$ |
| SNR | $2429.46201^{+0.00070}_{-0.00141}$ | -- | $2429.46302$ |
Detectors: H1
Number of posterior samples: 95438
Link to File
W10. BBH_ce2
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.284^{+0.015}_{-0.021}$ | -- | $15.296$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4239^{+0.0014}_{-0.0010}$ | -- | $1.4231$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.614466^{+0.000039}_{-0.000040}$ | -- | $3.614479$ |
| $q$ | $10.734^{+0.018}_{-0.026}$ | -- | $10.749$ |
| $t_c$ (s) | $1.18700888244346^{+0.00000000000010}_{-0.00000000000019}\times 10^{9}$ | -- | $1.18700888244357\times 10^{9}$ |
| SNR | $2429.44619^{+0.00073}_{-0.00140}$ | -- | $2429.44727$ |
Detectors: H1
Number of posterior samples: 96263
Link to File
W11. BBH_lvc
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.35^{+0.20}_{-0.20}$ | -- | $15.33$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.420^{+0.013}_{-0.013}$ | -- | $1.421$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.61488^{+0.00094}_{-0.00096}$ | -- | $3.61473$ |
| $q$ | $10.81^{+0.24}_{-0.24}$ | -- | $10.79$ |
| $t_c$ (s) | $1.18700888244338^{+0.00000000000019}_{-0.00000000000020}\times 10^{9}$ | -- | $1.18700888244353\times 10^{9}$ |
| SNR | $108.454^{+0.014}_{-0.030}$ | -- | $108.472$ |
Detectors: H1, L1, V1
Number of posterior samples: 67037
Link to File
W12. NSBH_APLUS
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.32^{+0.10}_{-0.11}$ | -- | $15.33$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4219^{+0.0068}_{-0.0065}$ | -- | $1.4212$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.61471^{+0.00051}_{-0.00052}$ | -- | $3.61472$ |
| $q$ | $10.77^{+0.12}_{-0.13}$ | -- | $10.79$ |
| $t_c$ (s) | $1.18700888244341^{+0.00000000000017}_{-0.00000000000018}\times 10^{9}$ | -- | $1.18700888244353\times 10^{9}$ |
| SNR | $204.2941^{+0.0074}_{-0.0155}$ | -- | $204.3048$ |
Detectors: H1, L1, V1
Number of posterior samples: 72822
Link to File
W13. NSBHC_aplus
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.32^{+0.11}_{-0.11}$ | -- | $15.32$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4217^{+0.0067}_{-0.0066}$ | -- | $1.4214$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.61473^{+0.00051}_{-0.00051}$ | -- | $3.61471$ |
| $q$ | $10.78^{+0.13}_{-0.12}$ | -- | $10.78$ |
| $t_c$ (s) | $1.18700888244340^{+0.00000000000017}_{-0.00000000000018}\times 10^{9}$ | -- | $1.18700888244348\times 10^{9}$ |
| SNR | $204.2942^{+0.0073}_{-0.0163}$ | -- | $204.3044$ |
Detectors: H1, L1, V1
Number of posterior samples: 73660
Link to File
W14. BBH_aplus
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.32^{+0.10}_{-0.10}$ | -- | $15.34$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4216^{+0.0066}_{-0.0064}$ | -- | $1.4203$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.61471^{+0.00049}_{-0.00051}$ | -- | $3.61476$ |
| $q$ | $10.78^{+0.12}_{-0.12}$ | -- | $10.80$ |
| $t_c$ (s) | $1.18700888244339^{+0.00000000000017}_{-0.00000000000018}\times 10^{9}$ | -- | $1.18700888244355\times 10^{9}$ |
| SNR | $204.2844^{+0.0071}_{-0.0162}$ | -- | $204.2946$ |
Detectors: H1, L1, V1
Number of posterior samples: 73443
Link to File
W15. NSBH_voy
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.282^{+0.051}_{-0.051}$ | -- | $15.297$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4241^{+0.0033}_{-0.0033}$ | -- | $1.4231$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.61452^{+0.00022}_{-0.00022}$ | -- | $3.61453$ |
| $q$ | $10.731^{+0.061}_{-0.060}$ | -- | $10.750$ |
| $t_c$ (s) | $1.18700888244343^{+0.00000000000015}_{-0.00000000000018}\times 10^{9}$ | -- | $1.18700888244360\times 10^{9}$ |
| SNR | $473.2284^{+0.0033}_{-0.0070}$ | -- | $473.2333$ |
Detectors: H1, L1, V1
Number of posterior samples: 80355
Link to File
W16. NSBHC_voy
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.285^{+0.049}_{-0.050}$ | -- | $15.300$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4238^{+0.0032}_{-0.0032}$ | -- | $1.4229$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.61453^{+0.00021}_{-0.00021}$ | -- | $3.61452$ |
| $q$ | $10.735^{+0.059}_{-0.059}$ | -- | $10.753$ |
| $t_c$ (s) | $1.18700888244342^{+0.00000000000015}_{-0.00000000000018}\times 10^{9}$ | -- | $1.18700888244357\times 10^{9}$ |
| SNR | $473.2282^{+0.0034}_{-0.0070}$ | -- | $473.2332$ |
Detectors: H1, L1, V1
Number of posterior samples: 81554
Link to File
W17. BBH_voy
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.289^{+0.050}_{-0.049}$ | -- | $15.315$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4236^{+0.0032}_{-0.0032}$ | -- | $1.4219$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.61453^{+0.00022}_{-0.00021}$ | -- | $3.61459$ |
| $q$ | $10.739^{+0.060}_{-0.058}$ | -- | $10.771$ |
| $t_c$ (s) | $1.18700888244340^{+0.00000000000015}_{-0.00000000000018}\times 10^{9}$ | -- | $1.18700888244357\times 10^{9}$ |
| SNR | $473.2222^{+0.0033}_{-0.0069}$ | -- | $473.2272$ |
Detectors: H1, L1, V1
Number of posterior samples: 81027
Link to File
W18. NSBH_et
| Parameter | 90% Credible Interval | Maximum Posterior | Maximum Likelihood |
|---|---|---|---|
| $m_1~(\mathrm{M}_\odot)$ | $15.279^{+0.028}_{-0.029}$ | -- | $15.283$ |
| $m_2~(\mathrm{M}_\odot)$ | $1.4242^{+0.0019}_{-0.0018}$ | -- | $1.4240$ |
| $\mathcal{M}~(\mathrm{M}_\odot)$ | $3.614475^{+0.000093}_{-0.000093}$ | -- | $3.614457$ |
| $q$ | $10.728^{+0.033}_{-0.035}$ | -- | $10.733$ |
| $t_c$ (s) | $1.18700888244345^{+0.00000000000013}_{-0.00000000000019}\times 10^{9}$ | -- | $1.18700888244358\times 10^{9}$ |
| SNR | $868.2067^{+0.0020}_{-0.0038}$ | -- | $868.2096$ |
Detectors: H1
Number of posterior samples: 87118
Link to File
