W1. NSBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.032^{+0.019}_{-0.020}$ -- $5.036$
$m_2~(\mathrm{M}_\odot)$ $1.4154^{+0.0044}_{-0.0042}$ -- $1.4146$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237178^{+0.000022}_{-0.000021}$ -- $2.237182$
$q$ $3.555^{+0.024}_{-0.025}$ -- $3.560$
$t_c$ (s) $1.187008882443433^{+0.000000000000060}_{-0.000000000000067}\times 10^{9}$ -- $1.187008882443441\times 10^{9}$
SNR $2255.96593^{+0.00075}_{-0.00154}$ -- $2255.96699$

Detectors: H1

Number of posterior samples: 99962



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A2. Posteriors

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A3. Posteriors

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W2. NSBH_C_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.044^{+0.020}_{-0.018}$ -- $5.032$
$m_2~(\mathrm{M}_\odot)$ $1.4129^{+0.0040}_{-0.0044}$ -- $1.4154$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237196^{+0.000021}_{-0.000019}$ -- $2.237185$
$q$ $3.570^{+0.025}_{-0.023}$ -- $3.555$
$t_c$ (s) $1.187008882443394^{+0.000000000000062}_{-0.000000000000053}\times 10^{9}$ -- $1.187008882443358\times 10^{9}$
SNR $2255.96490^{+0.00068}_{-0.00145}$ -- $2255.96584$

Detectors: H1

Number of posterior samples: 95394



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A2. Posteriors

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A3. Posteriors

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W3. NSBH_C_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.056^{+0.016}_{-0.022}$ -- $5.066$
$m_2~(\mathrm{M}_\odot)$ $1.4101^{+0.0048}_{-0.0035}$ -- $1.4078$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237215^{+0.000018}_{-0.000022}$ -- $2.237225$
$q$ $3.586^{+0.020}_{-0.028}$ -- $3.599$
$t_c$ (s) $1.187008882443411^{+0.000000000000048}_{-0.000000000000068}\times 10^{9}$ -- $1.187008882443444\times 10^{9}$
SNR $2247.34540^{+0.00070}_{-0.00148}$ -- $2247.34638$

Detectors: H1

Number of posterior samples: 95464



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A2. Posteriors

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A3. Posteriors

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W4. BBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.1357^{+0.0192}_{-0.0087}$ -- $5.1291$
$m_2~(\mathrm{M}_\odot)$ $1.3928^{+0.0019}_{-0.0041}$ -- $1.3942$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237339^{+0.000020}_{-0.000013}$ -- $2.237332$
$q$ $3.687^{+0.025}_{-0.011}$ -- $3.679$
$t_c$ (s) $1.187008882443172^{+0.000000000000062}_{-0.000000000000019}\times 10^{9}$ -- $1.187008882443151\times 10^{9}$
SNR $2247.29116^{+0.00088}_{-0.00161}$ -- $2247.29248$

Detectors: H1

Number of posterior samples: 97999



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A2. Posteriors

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A3. Posteriors

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W5. NSBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.050^{+0.016}_{-0.022}$ -- $5.061$
$m_2~(\mathrm{M}_\odot)$ $1.4115^{+0.0049}_{-0.0035}$ -- $1.4091$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237203^{+0.000020}_{-0.000024}$ -- $2.237214$
$q$ $3.578^{+0.020}_{-0.028}$ -- $3.591$
$t_c$ (s) $1.187008882443426^{+0.000000000000047}_{-0.000000000000072}\times 10^{9}$ -- $1.187008882443469\times 10^{9}$
SNR $2257.61654^{+0.00079}_{-0.00155}$ -- $2257.61770$

Detectors: H1

Number of posterior samples: 100354



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A2. Posteriors

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A3. Posteriors

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W6. NSBH_C_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.053^{+0.015}_{-0.022}$ -- $5.066$
$m_2~(\mathrm{M}_\odot)$ $1.4107^{+0.0050}_{-0.0032}$ -- $1.4079$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237208^{+0.000017}_{-0.000023}$ -- $2.237222$
$q$ $3.582^{+0.019}_{-0.028}$ -- $3.598$
$t_c$ (s) $1.187008882443418^{+0.000000000000044}_{-0.000000000000071}\times 10^{9}$ -- $1.187008882443457\times 10^{9}$
SNR $2257.61655^{+0.00072}_{-0.00149}$ -- $2257.61758$

Detectors: H1

Number of posterior samples: 95915



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A2. Posteriors

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A3. Posteriors

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W7. BBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.1311^{+0.0199}_{-0.0090}$ -- $5.1244$
$m_2~(\mathrm{M}_\odot)$ $1.3938^{+0.0019}_{-0.0042}$ -- $1.3952$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237330^{+0.000021}_{-0.000013}$ -- $2.237323$
$q$ $3.681^{+0.026}_{-0.012}$ -- $3.673$
$t_c$ (s) $1.187008882443176^{+0.000000000000063}_{-0.000000000000020}\times 10^{9}$ -- $1.187008882443154\times 10^{9}$
SNR $2257.56605^{+0.00087}_{-0.00160}$ -- $2257.56735$

Detectors: H1

Number of posterior samples: 97863



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A2. Posteriors

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A3. Posteriors

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W8. NSBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.042^{+0.021}_{-0.018}$ -- $5.028$
$m_2~(\mathrm{M}_\odot)$ $1.4133^{+0.0041}_{-0.0047}$ -- $1.4164$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237199^{+0.000023}_{-0.000021}$ -- $2.237184$
$q$ $3.568^{+0.027}_{-0.023}$ -- $3.549$
$t_c$ (s) $1.187008882443398^{+0.000000000000067}_{-0.000000000000056}\times 10^{9}$ -- $1.187008882443360\times 10^{9}$
SNR $2257.34616^{+0.00077}_{-0.00154}$ -- $2257.34727$

Detectors: H1

Number of posterior samples: 99866



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A2. Posteriors

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A3. Posteriors

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W9. NSBH_C_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.045^{+0.021}_{-0.016}$ -- $5.027$
$m_2~(\mathrm{M}_\odot)$ $1.4126^{+0.0037}_{-0.0046}$ -- $1.4166$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237203^{+0.000022}_{-0.000018}$ -- $2.237185$
$q$ $3.571^{+0.026}_{-0.021}$ -- $3.548$
$t_c$ (s) $1.187008882443385^{+0.000000000000066}_{-0.000000000000048}\times 10^{9}$ -- $1.187008882443331\times 10^{9}$
SNR $2257.34615^{+0.00073}_{-0.00145}$ -- $2257.34717$

Detectors: H1

Number of posterior samples: 95528



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A2. Posteriors

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A3. Posteriors

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W10. BBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.1307^{+0.0148}_{-0.0076}$ -- $5.1255$
$m_2~(\mathrm{M}_\odot)$ $1.3939^{+0.0016}_{-0.0032}$ -- $1.3950$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237332^{+0.000016}_{-0.000012}$ -- $2.237326$
$q$ $3.681^{+0.019}_{-0.010}$ -- $3.674$
$t_c$ (s) $1.187008882443168^{+0.000000000000045}_{-0.000000000000014}\times 10^{9}$ -- $1.187008882443153\times 10^{9}$
SNR $2257.29159^{+0.00089}_{-0.00163}$ -- $2257.29288$

Detectors: H1

Number of posterior samples: 98756



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A2. Posteriors

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A3. Posteriors

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W11. NSBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.036^{+0.018}_{-0.021}$ -- $5.042$
$m_2~(\mathrm{M}_\odot)$ $1.4146^{+0.0047}_{-0.0040}$ -- $1.4131$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237184^{+0.000022}_{-0.000023}$ -- $2.237189$
$q$ $3.560^{+0.023}_{-0.026}$ -- $3.568$
$t_c$ (s) $1.187008882443428^{+0.000000000000054}_{-0.000000000000068}\times 10^{9}$ -- $1.187008882443457\times 10^{9}$
SNR $2255.59470^{+0.00076}_{-0.00155}$ -- $2255.59578$

Detectors: H1

Number of posterior samples: 99618



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A2. Posteriors

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A3. Posteriors

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W12. NSBH_C_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.043^{+0.017}_{-0.020}$ -- $5.041$
$m_2~(\mathrm{M}_\odot)$ $1.4130^{+0.0046}_{-0.0038}$ -- $1.4135$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237195^{+0.000019}_{-0.000022}$ -- $2.237192$
$q$ $3.569^{+0.022}_{-0.026}$ -- $3.566$
$t_c$ (s) $1.187008882443405^{+0.000000000000055}_{-0.000000000000062}\times 10^{9}$ -- $1.187008882443398\times 10^{9}$
SNR $2255.59431^{+0.00070}_{-0.00144}$ -- $2255.59526$

Detectors: H1

Number of posterior samples: 95130



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A2. Posteriors

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A3. Posteriors

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W13. BBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.1276^{+0.0155}_{-0.0081}$ -- $5.1214$
$m_2~(\mathrm{M}_\odot)$ $1.3945^{+0.0017}_{-0.0033}$ -- $1.3959$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237323^{+0.000017}_{-0.000012}$ -- $2.237316$
$q$ $3.677^{+0.020}_{-0.010}$ -- $3.669$
$t_c$ (s) $1.187008882443172^{+0.000000000000050}_{-0.000000000000015}\times 10^{9}$ -- $1.187008882443156\times 10^{9}$
SNR $2255.90151^{+0.00087}_{-0.00163}$ -- $2255.90282$

Detectors: H1

Number of posterior samples: 98711



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A2. Posteriors

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A3. Posteriors

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W14. BBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.1248^{+0.0172}_{-0.0084}$ -- $5.1189$
$m_2~(\mathrm{M}_\odot)$ $1.3951^{+0.0018}_{-0.0037}$ -- $1.3964$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237320^{+0.000018}_{-0.000012}$ -- $2.237314$
$q$ $3.673^{+0.022}_{-0.011}$ -- $3.666$
$t_c$ (s) $1.187008882443173^{+0.000000000000055}_{-0.000000000000017}\times 10^{9}$ -- $1.187008882443156\times 10^{9}$
SNR $2255.53356^{+0.00085}_{-0.00162}$ -- $2255.53483$

Detectors: H1

Number of posterior samples: 98092



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A2. Posteriors

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A3. Posteriors

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W15. NSBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.051^{+0.017}_{-0.021}$ -- $5.061$
$m_2~(\mathrm{M}_\odot)$ $1.4113^{+0.0047}_{-0.0038}$ -- $1.4090$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237207^{+0.000021}_{-0.000023}$ -- $2.237217$
$q$ $3.579^{+0.022}_{-0.027}$ -- $3.592$
$t_c$ (s) $1.187008882443415^{+0.000000000000053}_{-0.000000000000069}\times 10^{9}$ -- $1.187008882443457\times 10^{9}$
SNR $2264.32616^{+0.00077}_{-0.00154}$ -- $2264.32727$

Detectors: H1

Number of posterior samples: 99680



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A2. Posteriors

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A3. Posteriors

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W16. NSBH_C_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.053^{+0.016}_{-0.021}$ -- $5.067$
$m_2~(\mathrm{M}_\odot)$ $1.4108^{+0.0048}_{-0.0035}$ -- $1.4077$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237210^{+0.000018}_{-0.000022}$ -- $2.237224$
$q$ $3.582^{+0.020}_{-0.027}$ -- $3.600$
$t_c$ (s) $1.187008882443413^{+0.000000000000048}_{-0.000000000000067}\times 10^{9}$ -- $1.187008882443458\times 10^{9}$
SNR $2264.32626^{+0.00071}_{-0.00142}$ -- $2264.32723$

Detectors: H1

Number of posterior samples: 95345



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A2. Posteriors

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A3. Posteriors

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W17. BBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.1321^{+0.0189}_{-0.0084}$ -- $5.1256$
$m_2~(\mathrm{M}_\odot)$ $1.3936^{+0.0018}_{-0.0040}$ -- $1.3950$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237333^{+0.000020}_{-0.000012}$ -- $2.237326$
$q$ $3.683^{+0.024}_{-0.011}$ -- $3.674$
$t_c$ (s) $1.187008882443173^{+0.000000000000059}_{-0.000000000000018}\times 10^{9}$ -- $1.187008882443154\times 10^{9}$
SNR $2264.27523^{+0.00088}_{-0.00160}$ -- $2264.27654$

Detectors: H1

Number of posterior samples: 98210



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A2. Posteriors

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A3. Posteriors

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W18. NSBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.041^{+0.022}_{-0.017}$ -- $5.023$
$m_2~(\mathrm{M}_\odot)$ $1.4135^{+0.0038}_{-0.0048}$ -- $1.4174$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237196^{+0.000024}_{-0.000020}$ -- $2.237179$
$q$ $3.566^{+0.028}_{-0.022}$ -- $3.544$
$t_c$ (s) $1.187008882443383^{+0.000000000000072}_{-0.000000000000051}\times 10^{9}$ -- $1.187008882443334\times 10^{9}$
SNR $2272.00889^{+0.00080}_{-0.00154}$ -- $2272.01005$

Detectors: H1

Number of posterior samples: 100008



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A2. Posteriors

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A3. Posteriors

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W19. NSBH_C_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.040^{+0.022}_{-0.016}$ -- $5.026$
$m_2~(\mathrm{M}_\odot)$ $1.4136^{+0.0035}_{-0.0049}$ -- $1.4168$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237196^{+0.000023}_{-0.000018}$ -- $2.237182$
$q$ $3.565^{+0.028}_{-0.020}$ -- $3.547$
$t_c$ (s) $1.187008882443380^{+0.000000000000071}_{-0.000000000000044}\times 10^{9}$ -- $1.187008882443335\times 10^{9}$
SNR $2272.00900^{+0.00074}_{-0.00146}$ -- $2272.01007$

Detectors: H1

Number of posterior samples: 96153



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A2. Posteriors

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A3. Posteriors

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W20. BBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.1271^{+0.0139}_{-0.0075}$ -- $5.1221$
$m_2~(\mathrm{M}_\odot)$ $1.3946^{+0.0016}_{-0.0030}$ -- $1.3957$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237325^{+0.000016}_{-0.000012}$ -- $2.237319$
$q$ $3.676^{+0.018}_{-0.010}$ -- $3.670$
$t_c$ (s) $1.187008882443167^{+0.000000000000043}_{-0.000000000000013}\times 10^{9}$ -- $1.187008882443154\times 10^{9}$
SNR $2271.96070^{+0.00089}_{-0.00164}$ -- $2271.96200$

Detectors: H1

Number of posterior samples: 98396



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A2. Posteriors

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A3. Posteriors

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W21. NSBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.052^{+0.014}_{-0.022}$ -- $5.062$
$m_2~(\mathrm{M}_\odot)$ $1.4109^{+0.0048}_{-0.0031}$ -- $1.4087$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237205^{+0.000019}_{-0.000023}$ -- $2.237216$
$q$ $3.581^{+0.018}_{-0.028}$ -- $3.594$
$t_c$ (s) $1.187008882443435^{+0.000000000000037}_{-0.000000000000072}\times 10^{9}$ -- $1.187008882443474\times 10^{9}$
SNR $2258.32454^{+0.00086}_{-0.00161}$ -- $2258.32584$

Detectors: H1

Number of posterior samples: 100588



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A2. Posteriors

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A3. Posteriors

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W22. NSBH_C_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.054^{+0.011}_{-0.022}$ -- $5.065$
$m_2~(\mathrm{M}_\odot)$ $1.4105^{+0.0050}_{-0.0025}$ -- $1.4081$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237208^{+0.000014}_{-0.000022}$ -- $2.237220$
$q$ $3.584^{+0.014}_{-0.028}$ -- $3.597$
$t_c$ (s) $1.187008882443435^{+0.000000000000031}_{-0.000000000000070}\times 10^{9}$ -- $1.187008882443468\times 10^{9}$
SNR $2258.32469^{+0.00077}_{-0.00150}$ -- $2258.32583$

Detectors: H1

Number of posterior samples: 96727



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A2. Posteriors

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A3. Posteriors

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W23. BBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.131^{+0.023}_{-0.011}$ -- $5.121$
$m_2~(\mathrm{M}_\odot)$ $1.3939^{+0.0023}_{-0.0050}$ -- $1.3959$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237328^{+0.000024}_{-0.000014}$ -- $2.237319$
$q$ $3.681^{+0.030}_{-0.014}$ -- $3.669$
$t_c$ (s) $1.187008882443186^{+0.000000000000073}_{-0.000000000000028}\times 10^{9}$ -- $1.187008882443155\times 10^{9}$
SNR $2258.27324^{+0.00084}_{-0.00153}$ -- $2258.27449$

Detectors: H1

Number of posterior samples: 96948



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A2. Posteriors

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A3. Posteriors

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W24. NSBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.042^{+0.018}_{-0.020}$ -- $5.052$
$m_2~(\mathrm{M}_\odot)$ $1.4132^{+0.0045}_{-0.0040}$ -- $1.4111$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237192^{+0.000021}_{-0.000022}$ -- $2.237200$
$q$ $3.568^{+0.023}_{-0.026}$ -- $3.580$
$t_c$ (s) $1.187008882443412^{+0.000000000000057}_{-0.000000000000067}\times 10^{9}$ -- $1.187008882443453\times 10^{9}$
SNR $2261.82462^{+0.00074}_{-0.00155}$ -- $2261.82566$

Detectors: H1

Number of posterior samples: 99398



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A2. Posteriors

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A3. Posteriors

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W25. NSBH_C_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.044^{+0.017}_{-0.021}$ -- $5.047$
$m_2~(\mathrm{M}_\odot)$ $1.4129^{+0.0046}_{-0.0038}$ -- $1.4122$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237194^{+0.000019}_{-0.000022}$ -- $2.237197$
$q$ $3.570^{+0.022}_{-0.026}$ -- $3.574$
$t_c$ (s) $1.187008882443407^{+0.000000000000054}_{-0.000000000000063}\times 10^{9}$ -- $1.187008882443416\times 10^{9}$
SNR $2261.82469^{+0.00069}_{-0.00146}$ -- $2261.82563$

Detectors: H1

Number of posterior samples: 95326



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A2. Posteriors

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A3. Posteriors

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W26. BBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.1249^{+0.0180}_{-0.0082}$ -- $5.1185$
$m_2~(\mathrm{M}_\odot)$ $1.3951^{+0.0018}_{-0.0039}$ -- $1.3965$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237319^{+0.000019}_{-0.000012}$ -- $2.237312$
$q$ $3.673^{+0.023}_{-0.011}$ -- $3.665$
$t_c$ (s) $1.187008882443174^{+0.000000000000057}_{-0.000000000000018}\times 10^{9}$ -- $1.187008882443156\times 10^{9}$
SNR $2261.77414^{+0.00090}_{-0.00162}$ -- $2261.77546$

Detectors: H1

Number of posterior samples: 98277



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A2. Posteriors

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A3. Posteriors

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W27. NSBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.035^{+0.017}_{-0.022}$ -- $5.042$
$m_2~(\mathrm{M}_\odot)$ $1.4149^{+0.0048}_{-0.0039}$ -- $1.4133$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237184^{+0.000021}_{-0.000024}$ -- $2.237190$
$q$ $3.558^{+0.022}_{-0.027}$ -- $3.567$
$t_c$ (s) $1.187008882443437^{+0.000000000000052}_{-0.000000000000070}\times 10^{9}$ -- $1.187008882443465\times 10^{9}$
SNR $2255.59329^{+0.00078}_{-0.00153}$ -- $2255.59441$

Detectors: H1

Number of posterior samples: 99807



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A2. Posteriors

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A3. Posteriors

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W28. NSBH_C_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.043^{+0.017}_{-0.021}$ -- $5.048$
$m_2~(\mathrm{M}_\odot)$ $1.4129^{+0.0047}_{-0.0038}$ -- $1.4119$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237197^{+0.000019}_{-0.000022}$ -- $2.237201$
$q$ $3.570^{+0.022}_{-0.027}$ -- $3.575$
$t_c$ (s) $1.187008882443410^{+0.000000000000054}_{-0.000000000000064}\times 10^{9}$ -- $1.187008882443426\times 10^{9}$
SNR $2255.59276^{+0.00068}_{-0.00146}$ -- $2255.59369$

Detectors: H1

Number of posterior samples: 95146



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A2. Posteriors

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A3. Posteriors

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W29. BBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.1242^{+0.0181}_{-0.0083}$ -- $5.1171$
$m_2~(\mathrm{M}_\odot)$ $1.3953^{+0.0018}_{-0.0039}$ -- $1.3968$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237321^{+0.000019}_{-0.000012}$ -- $2.237313$
$q$ $3.673^{+0.023}_{-0.011}$ -- $3.664$
$t_c$ (s) $1.187008882443177^{+0.000000000000057}_{-0.000000000000017}\times 10^{9}$ -- $1.187008882443159\times 10^{9}$
SNR $2255.53277^{+0.00088}_{-0.00162}$ -- $2255.53407$

Detectors: H1

Number of posterior samples: 98449



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A2. Posteriors

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A3. Posteriors

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W30. NSBH_ce1

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$m_1~(\mathrm{M}_\odot)$ $5.052^{+0.017}_{-0.021}$ -- $5.065$
$m_2~(\mathrm{M}_\odot)$ $1.4111^{+0.0047}_{-0.0037}$ -- $1.4081$
$\mathcal{M}~(\mathrm{M}_\odot)$ $2.237208^{+0.000020}_{-0.000023}$ -- $2.237221$
$q$ $3.580^{+0.021}_{-0.027}$ -- $3.597$
$t_c$ (s) $1.187008882443423^{+0.000000000000050}_{-0.000000000000070}\times 10^{9}$ -- $1.187008882443473\times 10^{9}$
SNR $2247.34545^{+0.00079}_{-0.00154}$ -- $2247.34659$

Detectors: H1

Number of posterior samples: 99890



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A2. Posteriors

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A3. Posteriors

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Additional Files

The following files were also found in this directory: