W1. GW150914_095045

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $72^{+17}_{-19}$ -- $84$
$\chi_f$ $0.73^{+0.17}_{-0.58}$ -- $0.87$
$\iota$ $2.05^{+0.74}_{-1.17}$ -- $1.61$
$\log_{10}A_{220}$ $-20.36^{+0.34}_{-0.30}$ -- $-20.20$
$\phi_{220}$ $3.2^{+2.9}_{-2.9}$ -- $3$
$f_{220}$ $245^{+16}_{-17}$ -- $246$
$\tau_{220}$ $0.0045^{+0.0023}_{-0.0015}$ -- $0.0060$
$A_{220}$ $4.4^{+5.2}_{-2.2}\times 10^{-21}$ -- $6.3\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 54731



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W2. GW170104_101158

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $52^{+29}_{-14}$ -- $42$
$\chi_f$ $-0.08^{+0.77}_{-0.79}$ -- $-0.49$
$\iota$ $1.08^{+1.16}_{-0.74}$ -- $1.50$
$\log_{10}A_{220}$ $-20.53^{+0.34}_{-0.37}$ -- $-20.29$
$\phi_{220}$ $3.2^{+2.7}_{-2.8}$ -- $0.8$
$f_{220}$ $231^{+46}_{-58}$ -- $249$
$\tau_{220}$ $0.00290^{+0.00204}_{-0.00075}$ -- $0.00233$
$A_{220}$ $2.9^{+3.5}_{-1.7}\times 10^{-21}$ -- $5.1\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 42723



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W3. GW190408_181802

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $140^{+150}_{-110}$ -- $80$
$\chi_f$ $0.02^{+0.87}_{-0.91}$ -- $0.94$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.7$
$\log_{10}A_{220}$ $-22.5^{+1.5}_{-1.3}$ -- $-21$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $1.9$
$f_{220}$ $97^{+466}_{-58}$ -- $300$
$\tau_{220}$ $0.0079^{+0.0084}_{-0.0066}$ -- $0.0071$
$A_{220}$ $2.9^{+81.2}_{-2.7}\times 10^{-23}$ -- $1.026\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 29481



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W4. GW190412_053044

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $150^{+130}_{-130}$ -- $70$
$\chi_f$ $0.03^{+0.87}_{-0.92}$ -- $0.97$
$\iota$ $1.5^{+1.1}_{-1.1}$ -- $1.5$
$\log_{10}A_{220}$ $-22.5^{+1.4}_{-1.3}$ -- $-20.1$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $0.4$
$f_{220}$ $87^{+504}_{-48}$ -- $386$
$\tau_{220}$ $0.0087^{+0.0077}_{-0.0074}$ -- $0.0075$
$A_{220}$ $3^{+77.6}_{-2.9}\times 10^{-23}$ -- $7.845\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 49193



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W5. GW190413_052954

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $101^{+168}_{-60}$ -- $57$
$\chi_f$ $-0.10^{+0.94}_{-0.79}$ -- $-0.85$
$\iota$ $1.34^{+1.26}_{-0.92}$ -- $1.37$
$\log_{10}A_{220}$ $-21.22^{+0.58}_{-2.42}$ -- $-20.69$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $5$
$f_{220}$ $128^{+175}_{-84}$ -- $172$
$\tau_{220}$ $0.0058^{+0.0099}_{-0.0034}$ -- $0.0031$
$A_{220}$ $6^{+17.1}_{-6}\times 10^{-22}$ -- $2.02\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 33140



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W6. GW190413_134308

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $115^{+69}_{-40}$ -- $115$
$\chi_f$ $0.42^{+0.45}_{-1.10}$ -- $0.52$
$\iota$ $1.88^{+0.87}_{-1.28}$ -- $1.64$
$\log_{10}A_{220}$ $-20.97^{+0.33}_{-0.40}$ -- $-20.77$
$\phi_{220}$ $3.1^{+2.7}_{-2.6}$ -- $1.5$
$f_{220}$ $125^{+25}_{-24}$ -- $132$
$\tau_{220}$ $0.0065^{+0.0063}_{-0.0024}$ -- $0.0066$
$A_{220}$ $1.07^{+1.23}_{-0.65}\times 10^{-21}$ -- $1.71\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 41424



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W7. GW190421_213856

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $150^{+140}_{-120}$ -- $150$
$\chi_f$ $0.03^{+0.84}_{-0.92}$ -- $0.95$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.7$
$\log_{10}A_{220}$ $-22.1^{+1.2}_{-1.7}$ -- $-21.1$
$\phi_{220}$ $3.2^{+2.8}_{-2.9}$ -- $3.6$
$f_{220}$ $85^{+430}_{-46}$ -- $162$
$\tau_{220}$ $0.0088^{+0.0078}_{-0.0073}$ -- $0.0133$
$A_{220}$ $8.3^{+120.5}_{-8.2}\times 10^{-23}$ -- $8.62\times 10^{-22}$

Detectors: H1, L1

Number of posterior samples: 30407



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W8. GW190424_180648

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $72^{+44}_{-27}$ -- $97$
$\chi_f$ $0.67^{+0.27}_{-1.18}$ -- $0.93$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.84^{+0.46}_{-1.02}$ -- $-20.73$
$\phi_{220}$ $3.2^{+2.7}_{-2.8}$ -- $0.9$
$f_{220}$ $238^{+36}_{-102}$ -- $236$
$\tau_{220}$ $0.0044^{+0.0057}_{-0.0019}$ -- $0.0081$
$A_{220}$ $1.4^{+2.7}_{-1.3}\times 10^{-21}$ -- $1.9\times 10^{-21}$

Detectors: L1

Number of posterior samples: 46998



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W9. GW190503_185404

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $130^{+160}_{-100}$ -- $60$
$\chi_f$ $-0.02^{+0.90}_{-0.88}$ -- $0.98$
$\iota$ $1.7^{+1}_{-1.2}$ -- $2.3$
$\log_{10}A_{220}$ $-22.2^{+1.5}_{-1.6}$ -- $-21.1$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $3.9$
$f_{220}$ $103^{+434}_{-64}$ -- $458$
$\tau_{220}$ $0.0075^{+0.0089}_{-0.0061}$ -- $0.0071$
$A_{220}$ $6.2^{+177.1}_{-6.1}\times 10^{-23}$ -- $8.11\times 10^{-22}$

Detectors: H1, L1, V1

Number of posterior samples: 29341



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W10. GW190512_180714

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $38^{+218}_{-17}$ -- $32$
$\chi_f$ $0.01^{+0.85}_{-0.89}$ -- $-0.18$
$\iota$ $1.79^{+0.95}_{-1.24}$ -- $1.58$
$\log_{10}A_{220}$ $-20.91^{+0.54}_{-2.72}$ -- $-20.46$
$\phi_{220}$ $3.1^{+2.8}_{-2.7}$ -- $5.5$
$f_{220}$ $350^{+210}_{-300}$ -- $360$
$\tau_{220}$ $0.0021^{+0.0127}_{-0.0010}$ -- $0.0018$
$A_{220}$ $1.2^{+3}_{-1.2}\times 10^{-21}$ -- $3.4\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 40320



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W11. GW190513_205428

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $65^{+165}_{-25}$ -- $75$
$\chi_f$ $0.21^{+0.66}_{-1.04}$ -- $0.61$
$\iota$ $1.6^{+1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.71^{+0.37}_{-2.56}$ -- $-20.45$
$\phi_{220}$ $3.2^{+2.9}_{-2.9}$ -- $3.2$
$f_{220}$ $212^{+76}_{-158}$ -- $215$
$\tau_{220}$ $0.0037^{+0.0098}_{-0.0015}$ -- $0.0044$
$A_{220}$ $1.9^{+2.5}_{-1.9}\times 10^{-21}$ -- $3.6\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 41396



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W12. GW190514_065416

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $111^{+166}_{-78}$ -- $180$
$\chi_f$ $0.08^{+0.84}_{-0.96}$ -- $0.98$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.4$
$\log_{10}A_{220}$ $-21.67^{+0.85}_{-2.08}$ -- $-21.19$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $2.9$
$f_{220}$ $140^{+250}_{-100}$ -- $150$
$\tau_{220}$ $0.0065^{+0.0098}_{-0.0047}$ -- $0.0235$
$A_{220}$ $2.1^{+12.8}_{-2.1}\times 10^{-22}$ -- $6.4\times 10^{-22}$

Detectors: H1, L1

Number of posterior samples: 39402



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W13. GW170121_212536

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $95^{+184}_{-58}$ -- $190$
$\chi_f$ $-0.09^{+0.93}_{-0.81}$ -- $0.99$
$\iota$ $1.23^{+1.28}_{-0.85}$ -- $1.50$
$\log_{10}A_{220}$ $-20.84^{+0.52}_{-2.71}$ -- $-20.30$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $1.9$
$f_{220}$ $140^{+190}_{-100}$ -- $150$
$\tau_{220}$ $0.0056^{+0.0104}_{-0.0035}$ -- $0.0286$
$A_{220}$ $1.5^{+3.3}_{-1.4}\times 10^{-21}$ -- $5.1\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 44968



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W14. GW190517_055101

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $58^{+181}_{-27}$ -- $78$
$\chi_f$ $0.40^{+0.53}_{-1.19}$ -- $0.89$
$\iota$ $1.24^{+1.28}_{-0.84}$ -- $1.43$
$\log_{10}A_{220}$ $-20.76^{+0.48}_{-2.64}$ -- $-20.50$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $6$
$f_{220}$ $270^{+120}_{-220}$ -- $270$
$\tau_{220}$ $0.0034^{+0.0104}_{-0.0017}$ -- $0.0058$
$A_{220}$ $1.7^{+3.5}_{-1.7}\times 10^{-21}$ -- $3.1\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 43883



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W15. GW190519_153544

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $110^{+47}_{-33}$ -- $134$
$\chi_f$ $0.32^{+0.50}_{-1.06}$ -- $0.70$
$\iota$ $1.4^{+1.2}_{-1}$ -- $1.5$
$\log_{10}A_{220}$ $-20.90^{+0.30}_{-0.33}$ -- $-20.77$
$\phi_{220}$ $3.1^{+2.7}_{-2.6}$ -- $5$
$f_{220}$ $126^{+15}_{-21}$ -- $128$
$\tau_{220}$ $0.0062^{+0.0043}_{-0.0020}$ -- $0.0082$
$A_{220}$ $1.27^{+1.25}_{-0.67}\times 10^{-21}$ -- $1.68\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 46442



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W16. GW190521_030229

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $280^{+50}_{-59}$ -- $298$
$\chi_f$ $0.72^{+0.15}_{-0.38}$ -- $0.79$
$\iota$ $0.93^{+0.40}_{-0.63}$ -- $1.30$
$\log_{10}A_{220}$ $-20.73^{+0.36}_{-0.26}$ -- $-20.36$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $5.6$
$f_{220}$ $62.8^{+3.6}_{-3.7}$ -- $62.8$
$\tau_{220}$ $0.0173^{+0.0063}_{-0.0048}$ -- $0.0192$
$A_{220}$ $1.85^{+2.42}_{-0.82}\times 10^{-21}$ -- $4.33\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 53674



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W17. GW190521_074359

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $93^{+23}_{-29}$ -- $110$
$\chi_f$ $0.75^{+0.18}_{-0.85}$ -- $0.90$
$\iota$ $2.12^{+0.68}_{-0.87}$ -- $1.71$
$\log_{10}A_{220}$ $-20.68^{+0.36}_{-0.32}$ -- $-20.55$
$\phi_{220}$ $3.1^{+2.8}_{-2.9}$ -- $0.2$
$f_{220}$ $193^{+13}_{-17}$ -- $197$
$\tau_{220}$ $0.0058^{+0.0038}_{-0.0023}$ -- $0.0083$
$A_{220}$ $2.1^{+2.6}_{-1.1}\times 10^{-21}$ -- $2.8\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 51907



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W18. GW190602_175927

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $147^{+84}_{-52}$ -- $198$
$\chi_f$ $-0.04^{+0.73}_{-0.83}$ -- $0.41$
$\iota$ $1.4^{+1.2}_{-1.0}$ -- $1.4$
$\log_{10}A_{220}$ $-20.64^{+0.32}_{-0.30}$ -- $-20.49$
$\phi_{220}$ $3.1^{+2.9}_{-2.9}$ -- $0.6$
$f_{220}$ $80^{+32}_{-15}$ -- $72$
$\tau_{220}$ $0.0082^{+0.0057}_{-0.0029}$ -- $0.0112$
$A_{220}$ $2.3^{+2.5}_{-1.2}\times 10^{-21}$ -- $3.3\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 40372



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W19. GW190620_030421

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $116^{+74}_{-42}$ -- $124$
$\chi_f$ $-0.26^{+0.90}_{-0.65}$ -- $-0.97$
$\iota$ $2.08^{+0.74}_{-1.14}$ -- $1.58$
$\log_{10}A_{220}$ $-20.88^{+0.31}_{-0.35}$ -- $-20.65$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $4.4$
$f_{220}$ $100^{+48}_{-33}$ -- $76$
$\tau_{220}$ $0.0065^{+0.0045}_{-0.0024}$ -- $0.0069$
$A_{220}$ $1.32^{+1.35}_{-0.72}\times 10^{-21}$ -- $2.25\times 10^{-21}$

Detectors: L1, V1

Number of posterior samples: 36879



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W20. GW190701_203306

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $130^{+150}_{-110}$ -- $180$
$\chi_f$ $0.14^{+0.78}_{-1.02}$ -- $0.98$
$\iota$ $1.37^{+1.23}_{-0.95}$ -- $1.44$
$\log_{10}A_{220}$ $-22.1^{+1.4}_{-1.7}$ -- $-20.6$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $4.2$
$f_{220}$ $118^{+389}_{-77}$ -- $154$
$\tau_{220}$ $0.0079^{+0.0086}_{-0.0064}$ -- $0.0238$
$A_{220}$ $8.6^{+203.3}_{-8.4}\times 10^{-23}$ -- $2.275\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 41140



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W21. GW190706_222641

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $110^{+67}_{-27}$ -- $97$
$\chi_f$ $-0.09^{+0.86}_{-0.79}$ -- $-0.44$
$\iota$ $1.24^{+1.13}_{-0.85}$ -- $1.48$
$\log_{10}A_{220}$ $-20.88^{+0.51}_{-0.38}$ -- $-20.25$
$\phi_{220}$ $3.1^{+2.8}_{-2.6}$ -- $5.6$
$f_{220}$ $109^{+15}_{-21}$ -- $110$
$\tau_{220}$ $0.0061^{+0.0053}_{-0.0015}$ -- $0.0054$
$A_{220}$ $1.31^{+2.94}_{-0.77}\times 10^{-21}$ -- $5.58\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 42218



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W22. GW190727_060333

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $91^{+154}_{-40}$ -- $126$
$\chi_f$ $0.26^{+0.66}_{-1.09}$ -- $0.93$
$\iota$ $1.15^{+1.31}_{-0.79}$ -- $1.04$
$\log_{10}A_{220}$ $-21.04^{+0.40}_{-1.90}$ -- $-21.08$
$\phi_{220}$ $3.1^{+2.8}_{-2.7}$ -- $1.7$
$f_{220}$ $176^{+40}_{-125}$ -- $185$
$\tau_{220}$ $0.0054^{+0.0092}_{-0.0025}$ -- $0.0107$
$A_{220}$ $9.1^{+13.7}_{-9}\times 10^{-22}$ -- $8.3\times 10^{-22}$

Detectors: H1, L1, V1

Number of posterior samples: 43162



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W23. GW190731_140936

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $122^{+158}_{-90}$ -- $140$
$\chi_f$ $0.20^{+0.72}_{-1.07}$ -- $0.92$
$\iota$ $1.88^{+0.88}_{-1.30}$ -- $1.91$
$\log_{10}A_{220}$ $-21.8^{+1.1}_{-2}$ -- $-20.7$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $4.1$
$f_{220}$ $140^{+280}_{-100}$ -- $160$
$\tau_{220}$ $0.0075^{+0.0088}_{-0.0057}$ -- $0.0114$
$A_{220}$ $1.6^{+20}_{-1.6}\times 10^{-22}$ -- $1.99\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 39677



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W24. GW170403_230611

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $150^{+130}_{-130}$ -- $240$
$\chi_f$ $-0.01^{+0.90}_{-0.87}$ -- $0.96$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-22.5^{+1.4}_{-1.4}$ -- $-21.1$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $5.5$
$f_{220}$ $90^{+496}_{-51}$ -- $101$
$\tau_{220}$ $0.0087^{+0.0078}_{-0.0074}$ -- $0.0241$
$A_{220}$ $3.2^{+76.4}_{-3.1}\times 10^{-23}$ -- $8.42\times 10^{-22}$

Detectors: H1, L1

Number of posterior samples: 24155



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W25. GW190803_022701

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $114^{+162}_{-86}$ -- $148$
$\chi_f$ $0.18^{+0.76}_{-1.05}$ -- $0.98$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.5$
$\log_{10}A_{220}$ $-21.73^{+0.94}_{-2.03}$ -- $-20.91$
$\phi_{220}$ $3.1^{+2.8}_{-2.7}$ -- $4.6$
$f_{220}$ $140^{+310}_{-100}$ -- $180$
$\tau_{220}$ $0.0069^{+0.0094}_{-0.0053}$ -- $0.0200$
$A_{220}$ $1.8^{+14.3}_{-1.8}\times 10^{-22}$ -- $1.23\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 43331



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W26. GW190828_063405

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $75^{+53}_{-37}$ -- $105$
$\chi_f$ $0.73^{+0.24}_{-1.41}$ -- $0.98$
$\iota$ $1.85^{+0.88}_{-1.28}$ -- $1.58$
$\log_{10}A_{220}$ $-21.02^{+0.42}_{-1.38}$ -- $-20.87$
$\phi_{220}$ $3.1^{+2.8}_{-2.7}$ -- $5.3$
$f_{220}$ $248^{+50}_{-142}$ -- $249$
$\tau_{220}$ $0.0048^{+0.0077}_{-0.0027}$ -- $0.0125$
$A_{220}$ $9.5^{+15.2}_{-9.1}\times 10^{-22}$ -- $1.35\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 53375



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W27. GW190910_112807

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $104^{+40}_{-35}$ -- $124$
$\chi_f$ $0.60^{+0.32}_{-1.18}$ -- $0.86$
$\iota$ $1.4^{+1.2}_{-1.0}$ -- $1.5$
$\log_{10}A_{220}$ $-20.85^{+0.36}_{-0.38}$ -- $-20.64$
$\phi_{220}$ $3.2^{+2.7}_{-2.7}$ -- $1.3$
$f_{220}$ $157^{+16}_{-29}$ -- $164$
$\tau_{220}$ $0.0061^{+0.0054}_{-0.0023}$ -- $0.0086$
$A_{220}$ $1.43^{+1.82}_{-0.84}\times 10^{-21}$ -- $2.30\times 10^{-21}$

Detectors: L1, V1

Number of posterior samples: 46491



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W28. GW190915_235702

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $75^{+186}_{-38}$ -- $85$
$\chi_f$ $0.30^{+0.61}_{-1.13}$ -- $0.86$
$\iota$ $1.7^{+1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-21.11^{+0.63}_{-2.51}$ -- $-20.69$
$\phi_{220}$ $3.1^{+2.8}_{-2.7}$ -- $4.6$
$f_{220}$ $220^{+100}_{-170}$ -- $240$
$\tau_{220}$ $0.0046^{+0.0106}_{-0.0025}$ -- $0.0060$
$A_{220}$ $7.7^{+24.9}_{-7.7}\times 10^{-22}$ -- $2.04\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 41361



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W29. GW190916_200658

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $99^{+148}_{-51}$ -- $110$
$\chi_f$ $0.10^{+0.76}_{-0.96}$ -- $0.50$
$\iota$ $1.7^{+1.0}_{-1.2}$ -- $1.6$
$\log_{10}A_{220}$ $-21.24^{+0.50}_{-2.25}$ -- $-20.89$
$\phi_{220}$ $3.2^{+2.8}_{-2.7}$ -- $1.9$
$f_{220}$ $134^{+128}_{-84}$ -- $136$
$\tau_{220}$ $0.0056^{+0.0093}_{-0.0029}$ -- $0.0063$
$A_{220}$ $5.7^{+12.2}_{-5.7}\times 10^{-22}$ -- $1.28\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 36257



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W30. GW191109_010717

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $136^{+37}_{-31}$ -- $151$
$\chi_f$ $0.31^{+0.42}_{-0.90}$ -- $0.56$
$\iota$ $2.27^{+0.59}_{-0.42}$ -- $1.95$
$\log_{10}A_{220}$ $-20.58^{+0.28}_{-0.24}$ -- $-20.38$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $5.8$
$f_{220}$ $100.5^{+7.9}_{-7.9}$ -- $103.1$
$\tau_{220}$ $0.0076^{+0.0030}_{-0.0018}$ -- $0.0088$
$A_{220}$ $2.7^{+2.5}_{-1.1}\times 10^{-21}$ -- $4.2\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 48089



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W31. GW191127_050227

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $180^{+110}_{-150}$ -- $290$
$\chi_f$ $-0.11^{+0.96}_{-0.80}$ -- $-0.87$
$\iota$ $1.7^{+1.0}_{-1.2}$ -- $1.6$
$\log_{10}A_{220}$ $-22^{+1.3}_{-1.8}$ -- $-20$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $5.6$
$f_{220}$ $71^{+396}_{-35}$ -- $33$
$\tau_{220}$ $0.0102^{+0.0063}_{-0.0085}$ -- $0.0164$
$A_{220}$ $1^{+21.4}_{-1}\times 10^{-22}$ -- $1.110\times 10^{-20}$

Detectors: H1, L1, V1

Number of posterior samples: 41617



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W32. GW191215_223052

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $84^{+194}_{-59}$ -- $32$
$\chi_f$ $-0.07^{+0.93}_{-0.83}$ -- $-0.97$
$\iota$ $1.5^{+1.2}_{-1}$ -- $1.5$
$\log_{10}A_{220}$ $-21.8^{+1.1}_{-2}$ -- $-20.8$
$\phi_{220}$ $3.2^{+2.8}_{-2.9}$ -- $2.3$
$f_{220}$ $160^{+320}_{-120}$ -- $290$
$\tau_{220}$ $0.0050^{+0.0111}_{-0.0036}$ -- $0.0018$
$A_{220}$ $1.7^{+18.2}_{-1.7}\times 10^{-22}$ -- $1.62\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 33679



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W33. GW191222_033537

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $115^{+149}_{-70}$ -- $115$
$\chi_f$ $0.16^{+0.72}_{-1.01}$ -- $0.65$
$\iota$ $1.7^{+1}_{-1.2}$ -- $1.6$
$\log_{10}A_{220}$ $-21.36^{+0.55}_{-2.28}$ -- $-20.86$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $5$
$f_{220}$ $123^{+164}_{-79}$ -- $144$
$\tau_{220}$ $0.0066^{+0.0091}_{-0.0040}$ -- $0.0068$
$A_{220}$ $4.4^{+11.3}_{-4.4}\times 10^{-22}$ -- $1.39\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 35472



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W34. GW191230_180458

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $166^{+260}_{-84}$ -- $276$
$\chi_f$ $0.45^{+0.50}_{-1.26}$ -- $0.96$
$\iota$ $1.85^{+0.88}_{-1.04}$ -- $1.65$
$\log_{10}A_{220}$ $-21.15^{+0.80}_{-2.41}$ -- $-20.42$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $4.4$
$f_{220}$ $100^{+43}_{-71}$ -- $91$
$\tau_{220}$ $0.0101^{+0.0167}_{-0.0056}$ -- $0.0282$
$A_{220}$ $7.1^{+37.6}_{-7.1}\times 10^{-22}$ -- $3.77\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 50101



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W35. GW170727_010430

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $98^{+53}_{-25}$ -- $83$
$\chi_f$ $-0.18^{+0.82}_{-0.72}$ -- $-0.80$
$\iota$ $2.16^{+0.68}_{-0.53}$ -- $1.73$
$\log_{10}A_{220}$ $-20.47^{+0.27}_{-0.32}$ -- $-20.21$
$\phi_{220}$ $3.1^{+2.6}_{-2.7}$ -- $4.2$
$f_{220}$ $118^{+35}_{-29}$ -- $118$
$\tau_{220}$ $0.0055^{+0.0034}_{-0.0014}$ -- $0.0046$
$A_{220}$ $3.4^{+2.9}_{-1.8}\times 10^{-21}$ -- $6.1\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 43423



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W36. GW200106_134123

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $140^{+140}_{-110}$ -- $70$
$\chi_f$ $-0.01^{+0.88}_{-0.89}$ -- $-0.59$
$\iota$ $1.5^{+1.2}_{-1}$ -- $1.6$
$\log_{10}A_{220}$ $-22.2^{+1.2}_{-1.7}$ -- $-20.8$
$\phi_{220}$ $3.2^{+2.8}_{-2.9}$ -- $2.2$
$f_{220}$ $95^{+421}_{-55}$ -- $144$
$\tau_{220}$ $0.0080^{+0.0083}_{-0.0065}$ -- $0.0039$
$A_{220}$ $7^{+107.9}_{-6.9}\times 10^{-23}$ -- $1.497\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 26173



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W37. GW200112_155838

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $66^{+28}_{-19}$ -- $80$
$\chi_f$ $0.32^{+0.53}_{-1.07}$ -- $0.68$
$\iota$ $1.4^{+1.2}_{-1.0}$ -- $1.5$
$\log_{10}A_{220}$ $-20.58^{+0.42}_{-0.33}$ -- $-20.42$
$\phi_{220}$ $3.2^{+2.8}_{-2.9}$ -- $3.4$
$f_{220}$ $208^{+31}_{-29}$ -- $212$
$\tau_{220}$ $0.0037^{+0.0027}_{-0.0011}$ -- $0.0048$
$A_{220}$ $2.6^{+4.4}_{-1.4}\times 10^{-21}$ -- $3.8\times 10^{-21}$

Detectors: L1, V1

Number of posterior samples: 44460



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W38. GW200128_022011

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $90^{+64}_{-29}$ -- $120$
$\chi_f$ $0.29^{+0.58}_{-1.09}$ -- $0.78$
$\iota$ $1.06^{+1.17}_{-0.73}$ -- $1.42$
$\log_{10}A_{220}$ $-20.80^{+0.32}_{-0.49}$ -- $-20.59$
$\phi_{220}$ $3.1^{+2.7}_{-2.7}$ -- $4.9$
$f_{220}$ $154^{+23}_{-46}$ -- $154$
$\tau_{220}$ $0.0051^{+0.0062}_{-0.0017}$ -- $0.0077$
$A_{220}$ $1.6^{+1.8}_{-1.1}\times 10^{-21}$ -- $2.6\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 42976



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W39. GW200129_065458

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $54^{+17}_{-11}$ -- $60$
$\chi_f$ $0.06^{+0.59}_{-0.84}$ -- $0.38$
$\iota$ $1.21^{+0.24}_{-0.82}$ -- $1.41$
$\log_{10}A_{220}$ $-20.32^{+0.38}_{-0.37}$ -- $-20.02$
$\phi_{220}$ $3.2^{+2.2}_{-2.8}$ -- $3.8$
$f_{220}$ $230^{+18}_{-24}$ -- $234$
$\tau_{220}$ $0.00301^{+0.00122}_{-0.00062}$ -- $0.00339$
$A_{220}$ $4.8^{+6.6}_{-2.8}\times 10^{-21}$ -- $9.6\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 57586



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W40. GW200208_130117

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $116^{+167}_{-92}$ -- $50$
$\chi_f$ $-0.01^{+0.89}_{-0.88}$ -- $-0.95$
$\iota$ $1.7^{+1}_{-1.1}$ -- $1.7$
$\log_{10}A_{220}$ $-22^{+1.5}_{-1.8}$ -- $-20.4$
$\phi_{220}$ $3.2^{+2.8}_{-2.9}$ -- $2$
$f_{220}$ $115^{+433}_{-74}$ -- $189$
$\tau_{220}$ $0.0067^{+0.0096}_{-0.0054}$ -- $0.0028$
$A_{220}$ $9.3^{+266.4}_{-9.1}\times 10^{-23}$ -- $3.563\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 34750



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W41. GW200209_085452

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $69^{+153}_{-28}$ -- $78$
$\chi_f$ $0.06^{+0.78}_{-0.93}$ -- $0.44$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-21.04^{+0.44}_{-2.25}$ -- $-20.76$
$\phi_{220}$ $3.1^{+2.9}_{-2.8}$ -- $6.2$
$f_{220}$ $190^{+100}_{-130}$ -- $190$
$\tau_{220}$ $0.0038^{+0.0093}_{-0.0016}$ -- $0.0045$
$A_{220}$ $9.2^{+16.2}_{-9.1}\times 10^{-22}$ -- $1.73\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 39037



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W42. GW200216_220804

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $111^{+170}_{-87}$ -- $65$
$\chi_f$ $-0.00^{+0.88}_{-0.88}$ -- $-0.99$
$\iota$ $1.33^{+1.27}_{-0.93}$ -- $0.76$
$\log_{10}A_{220}$ $-21.9^{+1.3}_{-1.9}$ -- $-20.7$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $4.1$
$f_{220}$ $123^{+451}_{-82}$ -- $144$
$\tau_{220}$ $0.0064^{+0.0098}_{-0.0051}$ -- $0.0037$
$A_{220}$ $1.3^{+24.6}_{-1.3}\times 10^{-22}$ -- $1.81\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 30008



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W43. GW200224_222234

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $82^{+23}_{-23}$ -- $96$
$\chi_f$ $0.54^{+0.31}_{-0.90}$ -- $0.77$
$\iota$ $0.97^{+0.56}_{-0.66}$ -- $1.42$
$\log_{10}A_{220}$ $-20.67^{+0.26}_{-0.26}$ -- $-20.52$
$\phi_{220}$ $3.2^{+2.7}_{-2.8}$ -- $5.3$
$f_{220}$ $187^{+11}_{-15}$ -- $190$
$\tau_{220}$ $0.0048^{+0.0024}_{-0.0015}$ -- $0.0061$
$A_{220}$ $2.1^{+1.7}_{-1.0}\times 10^{-21}$ -- $3.0\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 51938



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W44. GW200302_015811

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $86^{+189}_{-57}$ -- $97$
$\chi_f$ $0.19^{+0.71}_{-1.05}$ -- $0.88$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-21.5^{+1}_{-2.2}$ -- $-20.6$
$\phi_{220}$ $3.1^{+2.9}_{-2.9}$ -- $3.2$
$f_{220}$ $190^{+270}_{-140}$ -- $220$
$\tau_{220}$ $0.0052^{+0.0107}_{-0.0036}$ -- $0.0070$
$A_{220}$ $2.9^{+27.8}_{-2.9}\times 10^{-22}$ -- $2.41\times 10^{-21}$

Detectors: H1, V1

Number of posterior samples: 38334



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W45. GW200311_115853

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $68^{+28}_{-21}$ -- $71$
$\chi_f$ $0.50^{+0.37}_{-1.02}$ -- $0.61$
$\iota$ $1.04^{+0.37}_{-0.71}$ -- $1.37$
$\log_{10}A_{220}$ $-20.69^{+0.40}_{-0.34}$ -- $-20.29$
$\phi_{220}$ $3.2^{+2.5}_{-2.7}$ -- $4.3$
$f_{220}$ $223^{+28}_{-35}$ -- $227$
$\tau_{220}$ $0.0039^{+0.0028}_{-0.0013}$ -- $0.0042$
$A_{220}$ $2.1^{+3.2}_{-1.1}\times 10^{-21}$ -- $5.2\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 50877



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W46. GW170729_185629

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $154^{+119}_{-81}$ -- $87$
$\chi_f$ $-0.07^{+0.85}_{-0.83}$ -- $-0.35$
$\iota$ $1.4^{+1.2}_{-1.0}$ -- $1.4$
$\log_{10}A_{220}$ $-20.74^{+0.43}_{-2.29}$ -- $-20.26$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $4.4$
$f_{220}$ $77^{+81}_{-29}$ -- $125$
$\tau_{220}$ $0.0088^{+0.0072}_{-0.0047}$ -- $0.0048$
$A_{220}$ $1.8^{+3.1}_{-1.8}\times 10^{-21}$ -- $5.4\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 36600



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W47. GW170809_082821

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $130^{+150}_{-110}$ -- $120$
$\chi_f$ $0.02^{+0.87}_{-0.91}$ -- $0.99$
$\iota$ $1.6^{+1}_{-1.2}$ -- $1.5$
$\log_{10}A_{220}$ $-22.1^{+1.5}_{-1.7}$ -- $-20.7$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $0.9$
$f_{220}$ $98^{+440}_{-58}$ -- $226$
$\tau_{220}$ $0.0077^{+0.0086}_{-0.0062}$ -- $0.0183$
$A_{220}$ $7.2^{+225.8}_{-7.1}\times 10^{-23}$ -- $2.237\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 31039



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W48. GW170814_103043

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $130^{+150}_{-110}$ -- $90$
$\chi_f$ $0.07^{+0.85}_{-0.95}$ -- $0.98$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.5$
$\log_{10}A_{220}$ $-22^{+1.4}_{-1.8}$ -- $-20.6$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $1.1$
$f_{220}$ $102^{+497}_{-62}$ -- $294$
$\tau_{220}$ $0.0076^{+0.0088}_{-0.0063}$ -- $0.0122$
$A_{220}$ $1.1^{+28.2}_{-1}\times 10^{-22}$ -- $2.65\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 37720



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W49. GW170818_022509

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $90^{+187}_{-71}$ -- $102$
$\chi_f$ $0.09^{+0.83}_{-0.97}$ -- $0.94$
$\iota$ $1.80^{+0.93}_{-1.26}$ -- $1.78$
$\log_{10}A_{220}$ $-21.5^{+1.1}_{-2.3}$ -- $-20.6$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $3.4$
$f_{220}$ $180^{+460}_{-140}$ -- $230$
$\tau_{220}$ $0.0056^{+0.0105}_{-0.0046}$ -- $0.0090$
$A_{220}$ $3.4^{+43.2}_{-3.4}\times 10^{-22}$ -- $2.52\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 39830



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W50. GW170823_131358

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $75^{+170}_{-32}$ -- $76$
$\chi_f$ $0.04^{+0.81}_{-0.91}$ -- $0.47$
$\iota$ $1.5^{+1.1}_{-1.1}$ -- $1.5$
$\log_{10}A_{220}$ $-21.02^{+0.49}_{-2.43}$ -- $-20.74$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $2.6$
$f_{220}$ $174^{+91}_{-124}$ -- $193$
$\tau_{220}$ $0.0043^{+0.0100}_{-0.0018}$ -- $0.0044$
$A_{220}$ $9.5^{+20.1}_{-9.5}\times 10^{-22}$ -- $1.84\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 35939



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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Additional Files

The following files were also found in this directory: