W1. GW150914_095045

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $85^{+10}_{-11}$ -- $89$
$\chi_f$ $0.829^{+0.077}_{-0.161}$ -- $0.863$
$\iota$ $1.5^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.17^{+0.20}_{-0.33}$ -- $-20.04$
$\phi_{220}$ $3^{+2.6}_{-2.2}$ -- $5$
$f_{220}$ $229.4^{+7.5}_{-8.9}$ -- $230.6$
$\tau_{220}$ $0.0057^{+0.0016}_{-0.0013}$ -- $0.0063$
$A_{220}$ $6.8^{+4.1}_{-3.6}\times 10^{-21}$ -- $9.1\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 65805



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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
$M_f$ $71^{+19}_{-24}$ -- $85$
$\chi_f$ $0.77^{+0.18}_{-0.85}$ -- $0.94$
$\iota$ $1.16^{+1.24}_{-0.79}$ -- $1.53$
$\log_{10}A_{220}$ $-20.60^{+0.33}_{-0.38}$ -- $-20.47$
$\phi_{220}$ $3.2^{+2.8}_{-2.7}$ -- $5.2$
$f_{220}$ $261^{+27}_{-33}$ -- $275$
$\tau_{220}$ $0.0045^{+0.0037}_{-0.0019}$ -- $0.0074$
$A_{220}$ $2.5^{+2.9}_{-1.4}\times 10^{-21}$ -- $3.4\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 51545



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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
$M_f$ $57^{+22}_{-19}$ -- $74$
$\chi_f$ $0.57^{+0.34}_{-1.20}$ -- $0.89$
$\iota$ $1.22^{+1.26}_{-0.84}$ -- $1.49$
$\log_{10}A_{220}$ $-20.79^{+0.42}_{-0.37}$ -- $-20.69$
$\phi_{220}$ $3.1^{+2.7}_{-2.8}$ -- $3.9$
$f_{220}$ $283^{+28}_{-50}$ -- $291$
$\tau_{220}$ $0.0033^{+0.0030}_{-0.0012}$ -- $0.0055$
$A_{220}$ $1.63^{+2.63}_{-0.93}\times 10^{-21}$ -- $2.04\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 48792



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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
$M_f$ $38^{+20}_{-10}$ -- $49$
$\chi_f$ $0.14^{+0.70}_{-0.98}$ -- $0.64$
$\iota$ $1.06^{+1.12}_{-0.72}$ -- $1.50$
$\log_{10}A_{220}$ $-20.68^{+0.34}_{-0.30}$ -- $-20.55$
$\phi_{220}$ $3.2^{+2.7}_{-2.9}$ -- $3.6$
$f_{220}$ $336^{+46}_{-34}$ -- $339$
$\tau_{220}$ $0.00211^{+0.00179}_{-0.00057}$ -- $0.00290$
$A_{220}$ $2.1^{+2.5}_{-1}\times 10^{-21}$ -- $2.8\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 46611



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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
$M_f$ $73^{+34}_{-20}$ -- $84$
$\chi_f$ $0.25^{+0.56}_{-1.02}$ -- $0.53$
$\iota$ $1.7^{+1}_{-1.1}$ -- $1.5$
$\log_{10}A_{220}$ $-20.65^{+0.26}_{-0.37}$ -- $-20.52$
$\phi_{220}$ $3.1^{+2.8}_{-2.9}$ -- $0.4$
$f_{220}$ $181^{+26}_{-21}$ -- $181$
$\tau_{220}$ $0.0041^{+0.0029}_{-0.0012}$ -- $0.0049$
$A_{220}$ $2.2^{+1.8}_{-1.3}\times 10^{-21}$ -- $3.1\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 48273



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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
$M_f$ $169^{+43}_{-51}$ -- $183$
$\chi_f$ $0.75^{+0.16}_{-0.65}$ -- $0.83$
$\iota$ $2.10^{+0.70}_{-0.59}$ -- $1.73$
$\log_{10}A_{220}$ $-20.86^{+0.35}_{-0.33}$ -- $-20.66$
$\phi_{220}$ $3.1^{+2.7}_{-2.6}$ -- $2$
$f_{220}$ $106.6^{+6.7}_{-6.4}$ -- $107.3$
$\tau_{220}$ $0.0106^{+0.0063}_{-0.0041}$ -- $0.0124$
$A_{220}$ $1.39^{+1.75}_{-0.75}\times 10^{-21}$ -- $2.16\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 50767



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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
$M_f$ $107^{+50}_{-33}$ -- $137$
$\chi_f$ $0.32^{+0.59}_{-1.12}$ -- $0.88$
$\iota$ $1.7^{+1}_{-1.2}$ -- $1.5$
$\log_{10}A_{220}$ $-20.93^{+0.39}_{-0.34}$ -- $-20.75$
$\phi_{220}$ $3.1^{+2.9}_{-2.8}$ -- $2.4$
$f_{220}$ $139^{+20}_{-57}$ -- $153$
$\tau_{220}$ $0.0061^{+0.0055}_{-0.0020}$ -- $0.0099$
$A_{220}$ $1.19^{+1.76}_{-0.64}\times 10^{-21}$ -- $1.77\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 44404



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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
$M_f$ $90^{+74}_{-28}$ -- $106$
$\chi_f$ $0.41^{+0.48}_{-1.17}$ -- $0.78$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.82^{+0.43}_{-0.41}$ -- $-20.65$
$\phi_{220}$ $3.1^{+2.7}_{-2.7}$ -- $4.1$
$f_{220}$ $167^{+18}_{-95}$ -- $175$
$\tau_{220}$ $0.0052^{+0.0057}_{-0.0018}$ -- $0.0068$
$A_{220}$ $1.52^{+2.54}_{-0.92}\times 10^{-21}$ -- $2.25\times 10^{-21}$

Detectors: L1

Number of posterior samples: 45280



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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
$M_f$ $77^{+30}_{-21}$ -- $83$
$\chi_f$ $0.32^{+0.48}_{-1.02}$ -- $0.51$
$\iota$ $1.98^{+0.80}_{-1.21}$ -- $1.64$
$\log_{10}A_{220}$ $-20.58^{+0.23}_{-0.30}$ -- $-20.43$
$\phi_{220}$ $3.1^{+2.6}_{-2.5}$ -- $1.8$
$f_{220}$ $178^{+19}_{-19}$ -- $181$
$\tau_{220}$ $0.0043^{+0.0026}_{-0.0012}$ -- $0.0048$
$A_{220}$ $2.6^{+1.9}_{-1.3}\times 10^{-21}$ -- $3.7\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 48707



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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
$M_f$ $45^{+24}_{-15}$ -- $59$
$\chi_f$ $0.39^{+0.51}_{-1.15}$ -- $0.86$
$\iota$ $1.35^{+1.23}_{-0.93}$ -- $1.59$
$\log_{10}A_{220}$ $-20.77^{+0.40}_{-0.44}$ -- $-20.59$
$\phi_{220}$ $3.1^{+2.7}_{-2.7}$ -- $1$
$f_{220}$ $324^{+43}_{-82}$ -- $345$
$\tau_{220}$ $0.00259^{+0.00283}_{-0.00088}$ -- $0.00416$
$A_{220}$ $1.7^{+2.5}_{-1.1}\times 10^{-21}$ -- $2.6\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 47373



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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
$M_f$ $89^{+26}_{-26}$ -- $107$
$\chi_f$ $0.66^{+0.26}_{-0.98}$ -- $0.88$
$\iota$ $2.22^{+0.61}_{-0.48}$ -- $1.84$
$\log_{10}A_{220}$ $-20.61^{+0.28}_{-0.29}$ -- $-20.47$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $2.8$
$f_{220}$ $189^{+20}_{-30}$ -- $196$
$\tau_{220}$ $0.0053^{+0.0037}_{-0.0019}$ -- $0.0077$
$A_{220}$ $2.5^{+2.2}_{-1.2}\times 10^{-21}$ -- $3.4\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 48647



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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
$M_f$ $121^{+47}_{-47}$ -- $169$
$\chi_f$ $0.73^{+0.23}_{-1.23}$ -- $0.96$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.92^{+0.40}_{-0.39}$ -- $-20.89$
$\phi_{220}$ $3.1^{+2.7}_{-2.7}$ -- $1$
$f_{220}$ $145.8^{+9.2}_{-13.4}$ -- $147.7$
$\tau_{220}$ $0.0075^{+0.0089}_{-0.0034}$ -- $0.0170$
$A_{220}$ $1.21^{+1.86}_{-0.72}\times 10^{-21}$ -- $1.30\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 51322



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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
$M_f$ $76^{+25}_{-25}$ -- $100$
$\chi_f$ $0.70^{+0.25}_{-0.95}$ -- $0.96$
$\iota$ $1.01^{+0.75}_{-0.68}$ -- $1.09$
$\log_{10}A_{220}$ $-20.51^{+0.31}_{-0.35}$ -- $-20.57$
$\phi_{220}$ $3.1^{+2.7}_{-2.6}$ -- $1.4$
$f_{220}$ $233^{+18}_{-37}$ -- $244$
$\tau_{220}$ $0.0046^{+0.0042}_{-0.0018}$ -- $0.0096$
$A_{220}$ $3.1^{+3.2}_{-1.7}\times 10^{-21}$ -- $2.7\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 50759



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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
$M_f$ $130^{+160}_{-100}$ -- $100$
$\chi_f$ $0.00^{+0.90}_{-0.89}$ -- $0.98$
$\iota$ $1.5^{+1.2}_{-1}$ -- $1.4$
$\log_{10}A_{220}$ $-21.9^{+1.3}_{-1.9}$ -- $-20.3$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $1.7$
$f_{220}$ $104^{+405}_{-65}$ -- $253$
$\tau_{220}$ $0.0076^{+0.0087}_{-0.0061}$ -- $0.0132$
$A_{220}$ $1.3^{+22.7}_{-1.2}\times 10^{-22}$ -- $4.68\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 41922



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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
$M_f$ $168^{+26}_{-31}$ -- $176$
$\chi_f$ $0.83^{+0.10}_{-0.28}$ -- $0.87$
$\iota$ $1.4^{+1.2}_{-1.0}$ -- $1.6$
$\log_{10}A_{220}$ $-20.85^{+0.29}_{-0.34}$ -- $-20.70$
$\phi_{220}$ $3.1^{+2.7}_{-2.9}$ -- $0.4$
$f_{220}$ $116.5^{+8.8}_{-9.9}$ -- $117.7$
$\tau_{220}$ $0.0112^{+0.0048}_{-0.0033}$ -- $0.0126$
$A_{220}$ $1.41^{+1.35}_{-0.76}\times 10^{-21}$ -- $2.01\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 56090



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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
$M_f$ $338^{+32}_{-38}$ -- $343$
$\chi_f$ $0.890^{+0.047}_{-0.089}$ -- $0.899$
$\iota$ $1.31^{+0.20}_{-0.84}$ -- $1.40$
$\log_{10}A_{220}$ $-20.49^{+0.23}_{-0.46}$ -- $-20.38$
$\phi_{220}$ $3.1^{+2.9}_{-1.8}$ -- $2.5$
$f_{220}$ $63.2^{+2.1}_{-2.3}$ -- $63.1$
$\tau_{220}$ $0.0251^{+0.0068}_{-0.0055}$ -- $0.0260$
$A_{220}$ $3.2^{+2.3}_{-2.1}\times 10^{-21}$ -- $4.1\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 65670



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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
$M_f$ $112^{+14}_{-18}$ -- $115$
$\chi_f$ $0.835^{+0.085}_{-0.224}$ -- $0.865$
$\iota$ $2.04^{+0.75}_{-1.13}$ -- $1.63$
$\log_{10}A_{220}$ $-20.56^{+0.27}_{-0.30}$ -- $-20.39$
$\phi_{220}$ $3.2^{+2.6}_{-2.6}$ -- $5.1$
$f_{220}$ $176.6^{+9.4}_{-11.3}$ -- $178.1$
$\tau_{220}$ $0.0075^{+0.0025}_{-0.0020}$ -- $0.0081$
$A_{220}$ $2.7^{+2.4}_{-1.4}\times 10^{-21}$ -- $4.1\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 58788



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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
$M_f$ $187^{+39}_{-42}$ -- $200$
$\chi_f$ $0.71^{+0.18}_{-0.49}$ -- $0.81$
$\iota$ $0.93^{+0.48}_{-0.64}$ -- $1.27$
$\log_{10}A_{220}$ $-20.62^{+0.29}_{-0.28}$ -- $-20.51$
$\phi_{220}$ $3.2^{+2.7}_{-2.7}$ -- $1.4$
$f_{220}$ $93.4^{+6.7}_{-7.8}$ -- $95.6$
$\tau_{220}$ $0.0115^{+0.0052}_{-0.0034}$ -- $0.0131$
$A_{220}$ $2.4^{+2.2}_{-1.1}\times 10^{-21}$ -- $3.1\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 50598



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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
$M_f$ $126^{+37}_{-33}$ -- $139$
$\chi_f$ $0.40^{+0.38}_{-0.93}$ -- $0.67$
$\iota$ $2.20^{+0.64}_{-0.56}$ -- $1.71$
$\log_{10}A_{220}$ $-20.77^{+0.27}_{-0.24}$ -- $-20.62$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $2.7$
$f_{220}$ $114^{+15}_{-23}$ -- $121$
$\tau_{220}$ $0.0072^{+0.0031}_{-0.0020}$ -- $0.0084$
$A_{220}$ $1.69^{+1.45}_{-0.72}\times 10^{-21}$ -- $2.39\times 10^{-21}$

Detectors: L1, V1

Number of posterior samples: 44666



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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
$M_f$ $145^{+37}_{-43}$ -- $154$
$\chi_f$ $0.75^{+0.17}_{-0.70}$ -- $0.80$
$\iota$ $0.92^{+0.42}_{-0.63}$ -- $1.22$
$\log_{10}A_{220}$ $-20.66^{+0.29}_{-0.29}$ -- $-20.48$
$\phi_{220}$ $3.2^{+2.6}_{-2.7}$ -- $4.5$
$f_{220}$ $123.4^{+8.9}_{-8.7}$ -- $123.4$
$\tau_{220}$ $0.0090^{+0.0052}_{-0.0034}$ -- $0.0100$
$A_{220}$ $2.2^{+2.1}_{-1.1}\times 10^{-21}$ -- $3.3\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 51156



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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
$M_f$ $207^{+33}_{-47}$ -- $238$
$\chi_f$ $0.903^{+0.072}_{-0.413}$ -- $0.975$
$\iota$ $1.05^{+0.70}_{-0.71}$ -- $1.57$
$\log_{10}A_{220}$ $-21.00^{+0.55}_{-0.35}$ -- $-20.88$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $2.4$
$f_{220}$ $107.1^{+4.8}_{-20}$ -- $109.7$
$\tau_{220}$ $0.0158^{+0.0122}_{-0.0065}$ -- $0.0277$
$A_{220}$ $1.01^{+2.56}_{-0.56}\times 10^{-21}$ -- $1.33\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 57804



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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
$M_f$ $90^{+36}_{-24}$ -- $104$
$\chi_f$ $0.35^{+0.51}_{-1.10}$ -- $0.67$
$\iota$ $1.07^{+0.51}_{-0.73}$ -- $1.40$
$\log_{10}A_{220}$ $-20.71^{+0.33}_{-0.35}$ -- $-20.51$
$\phi_{220}$ $3.1^{+2.5}_{-2.6}$ -- $1$
$f_{220}$ $156^{+13}_{-19}$ -- $161$
$\tau_{220}$ $0.0051^{+0.0037}_{-0.0014}$ -- $0.0063$
$A_{220}$ $1.9^{+2.2}_{-1.1}\times 10^{-21}$ -- $3.1\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 48093



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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
$M_f$ $142^{+97}_{-65}$ -- $165$
$\chi_f$ $0.76^{+0.20}_{-1.47}$ -- $0.94$
$\iota$ $2.18^{+0.66}_{-1.00}$ -- $1.98$
$\log_{10}A_{220}$ $-20.94^{+0.36}_{-2.09}$ -- $-20.75$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $0.4$
$f_{220}$ $139^{+22}_{-87}$ -- $142$
$\tau_{220}$ $0.0094^{+0.0079}_{-0.0051}$ -- $0.0143$
$A_{220}$ $1.2^{+1.5}_{-1.1}\times 10^{-21}$ -- $1.8\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 47367



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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
$M_f$ $129^{+46}_{-45}$ -- $139$
$\chi_f$ $0.67^{+0.24}_{-0.96}$ -- $0.83$
$\iota$ $1.6^{+1}_{-1.2}$ -- $1.5$
$\log_{10}A_{220}$ $-20.82^{+0.43}_{-0.34}$ -- $-20.63$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $2.3$
$f_{220}$ $131^{+21}_{-23}$ -- $141$
$\tau_{220}$ $0.0078^{+0.0053}_{-0.0031}$ -- $0.0094$
$A_{220}$ $1.52^{+2.60}_{-0.82}\times 10^{-21}$ -- $2.34\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 43929



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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
$M_f$ $107^{+39}_{-27}$ -- $129$
$\chi_f$ $0.24^{+0.60}_{-1.04}$ -- $0.81$
$\iota$ $2.06^{+0.74}_{-1.21}$ -- $1.63$
$\log_{10}A_{220}$ $-20.83^{+0.37}_{-0.32}$ -- $-20.70$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $5.6$
$f_{220}$ $125^{+28}_{-23}$ -- $149$
$\tau_{220}$ $0.0060^{+0.0038}_{-0.0016}$ -- $0.0085$
$A_{220}$ $1.48^{+2.02}_{-0.78}\times 10^{-21}$ -- $1.99\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 40910



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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
$M_f$ $67^{+27}_{-16}$ -- $59$
$\chi_f$ $-0.24^{+0.89}_{-0.66}$ -- $-0.19$
$\iota$ $2.05^{+0.77}_{-1.26}$ -- $1.70$
$\log_{10}A_{220}$ $-20.76^{+0.30}_{-0.26}$ -- $-20.61$
$\phi_{220}$ $3.2^{+2.7}_{-2.7}$ -- $4.9$
$f_{220}$ $175^{+39}_{-43}$ -- $193$
$\tau_{220}$ $0.00375^{+0.00176}_{-0.00090}$ -- $0.00325$
$A_{220}$ $1.74^{+1.75}_{-0.79}\times 10^{-21}$ -- $2.43\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 42532



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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
$M_f$ $129^{+21}_{-31}$ -- $140$
$\chi_f$ $0.903^{+0.061}_{-0.247}$ -- $0.942$
$\iota$ $1.27^{+1.23}_{-0.87}$ -- $1.58$
$\log_{10}A_{220}$ $-20.78^{+0.40}_{-0.36}$ -- $-20.60$
$\phi_{220}$ $3.2^{+2.8}_{-2.7}$ -- $5.8$
$f_{220}$ $168.7^{+9.5}_{-7.8}$ -- $168.6$
$\tau_{220}$ $0.0099^{+0.0056}_{-0.0040}$ -- $0.0124$
$A_{220}$ $1.67^{+2.55}_{-0.93}\times 10^{-21}$ -- $2.52\times 10^{-21}$

Detectors: L1, V1

Number of posterior samples: 56653



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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
$M_f$ $74^{+31}_{-19}$ -- $86$
$\chi_f$ $0.21^{+0.59}_{-1.01}$ -- $0.55$
$\iota$ $1.7^{+1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.67^{+0.42}_{-0.36}$ -- $-20.29$
$\phi_{220}$ $3.1^{+2.6}_{-2.5}$ -- $1.5$
$f_{220}$ $177^{+28}_{-29}$ -- $180$
$\tau_{220}$ $0.0042^{+0.0027}_{-0.0011}$ -- $0.0050$
$A_{220}$ $2.2^{+3.6}_{-1.2}\times 10^{-21}$ -- $5.2\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 44813



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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
$M_f$ $143^{+49}_{-48}$ -- $171$
$\chi_f$ $0.66^{+0.27}_{-1.17}$ -- $0.89$
$\iota$ $1.7^{+1}_{-1.2}$ -- $1.5$
$\log_{10}A_{220}$ $-21.07^{+0.37}_{-0.39}$ -- $-20.88$
$\phi_{220}$ $3.2^{+2.7}_{-2.7}$ -- $4.9$
$f_{220}$ $119^{+12}_{-22}$ -- $125$
$\tau_{220}$ $0.0086^{+0.0073}_{-0.0034}$ -- $0.0127$
$A_{220}$ $8.6^{+11.4}_{-5.1}\times 10^{-22}$ -- $1.32\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 46490



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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
$M_f$ $198^{+22}_{-24}$ -- $199$
$\chi_f$ $0.885^{+0.051}_{-0.096}$ -- $0.897$
$\iota$ $2.05^{+0.76}_{-0.29}$ -- $1.77$
$\log_{10}A_{220}$ $-20.57^{+0.41}_{-0.37}$ -- $-20.19$
$\phi_{220}$ $3.1^{+2.5}_{-2.7}$ -- $0.9$
$f_{220}$ $107^{+5.5}_{-5.5}$ -- $108.4$
$\tau_{220}$ $0.0145^{+0.0042}_{-0.0032}$ -- $0.0150$
$A_{220}$ $2.7^{+4.2}_{-1.5}\times 10^{-21}$ -- $6.5\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 64006



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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
$M_f$ $119^{+161}_{-52}$ -- $157$
$\chi_f$ $-0.05^{+0.87}_{-0.85}$ -- $0.63$
$\iota$ $1.35^{+1.24}_{-0.94}$ -- $1.39$
$\log_{10}A_{220}$ $-20.98^{+0.50}_{-1.87}$ -- $-20.67$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $3.6$
$f_{220}$ $108^{+63}_{-70}$ -- $104$
$\tau_{220}$ $0.0067^{+0.0092}_{-0.0030}$ -- $0.0093$
$A_{220}$ $1.1^{+2.2}_{-1}\times 10^{-21}$ -- $2.1\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 36778



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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
$M_f$ $50^{+22}_{-12}$ -- $55$
$\chi_f$ $0.00^{+0.73}_{-0.86}$ -- $0.36$
$\iota$ $1.24^{+1.31}_{-0.85}$ -- $1.52$
$\log_{10}A_{220}$ $-20.75^{+0.33}_{-0.32}$ -- $-20.61$
$\phi_{220}$ $3.1^{+2.7}_{-2.7}$ -- $1.4$
$f_{220}$ $248^{+39}_{-49}$ -- $253$
$\tau_{220}$ $0.00278^{+0.00166}_{-0.00068}$ -- $0.00310$
$A_{220}$ $1.76^{+2.04}_{-0.92}\times 10^{-21}$ -- $2.48\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 43607



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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
$M_f$ $125^{+44}_{-37}$ -- $148$
$\chi_f$ $0.52^{+0.36}_{-1.11}$ -- $0.79$
$\iota$ $1.09^{+1.22}_{-0.75}$ -- $1.51$
$\log_{10}A_{220}$ $-20.92^{+0.33}_{-0.34}$ -- $-20.77$
$\phi_{220}$ $3.2^{+2.6}_{-2.7}$ -- $1.5$
$f_{220}$ $122^{+13}_{-14}$ -- $126$
$\tau_{220}$ $0.0072^{+0.0050}_{-0.0023}$ -- $0.0096$
$A_{220}$ $1.21^{+1.36}_{-0.66}\times 10^{-21}$ -- $1.72\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 45364



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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
$M_f$ $179^{+40}_{-69}$ -- $217$
$\chi_f$ $0.889^{+0.084}_{-0.626}$ -- $0.971$
$\iota$ $2.18^{+0.65}_{-0.56}$ -- $2.88$
$\log_{10}A_{220}$ $-20.98^{+0.33}_{-0.33}$ -- $-21.36$
$\phi_{220}$ $3.1^{+2.8}_{-2.7}$ -- $4.2$
$f_{220}$ $119.2^{+9.4}_{-6.9}$ -- $118.6$
$\tau_{220}$ $0.0132^{+0.0118}_{-0.0070}$ -- $0.0241$
$A_{220}$ $1.04^{+1.20}_{-0.55}\times 10^{-21}$ -- $4.4\times 10^{-22}$

Detectors: H1, L1, V1

Number of posterior samples: 55470



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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
$M_f$ $136^{+81}_{-59}$ -- $154$
$\chi_f$ $0.83^{+0.14}_{-1.32}$ -- $0.93$
$\iota$ $2.12^{+0.69}_{-0.98}$ -- $1.87$
$\log_{10}A_{220}$ $-20.79^{+0.42}_{-2.17}$ -- $-20.47$
$\phi_{220}$ $3.2^{+2.7}_{-2.8}$ -- $0.9$
$f_{220}$ $149^{+28}_{-88}$ -- $150$
$\tau_{220}$ $0.0095^{+0.0080}_{-0.0052}$ -- $0.0130$
$A_{220}$ $1.6^{+2.7}_{-1.6}\times 10^{-21}$ -- $3.4\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 46726



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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
$M_f$ $116^{+50}_{-45}$ -- $128$
$\chi_f$ $0.67^{+0.26}_{-1.21}$ -- $0.85$
$\iota$ $1.98^{+0.80}_{-0.60}$ -- $1.69$
$\log_{10}A_{220}$ $-20.92^{+0.53}_{-1.16}$ -- $-20.41$
$\phi_{220}$ $3.1^{+2.6}_{-2.6}$ -- $4.4$
$f_{220}$ $149^{+38}_{-53}$ -- $157$
$\tau_{220}$ $0.0071^{+0.0066}_{-0.0032}$ -- $0.0088$
$A_{220}$ $1.2^{+2.9}_{-1.1}\times 10^{-21}$ -- $3.9\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 50144



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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
$M_f$ $90^{+17}_{-21}$ -- $97$
$\chi_f$ $0.78^{+0.13}_{-0.42}$ -- $0.85$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.5$
$\log_{10}A_{220}$ $-20.43^{+0.40}_{-0.31}$ -- $-20.28$
$\phi_{220}$ $3.2^{+2.7}_{-2.6}$ -- $1.9$
$f_{220}$ $205^{+12}_{-15}$ -- $208$
$\tau_{220}$ $0.0058^{+0.0025}_{-0.0018}$ -- $0.0068$
$A_{220}$ $3.7^{+5.6}_{-1.9}\times 10^{-21}$ -- $5.2\times 10^{-21}$

Detectors: L1, V1

Number of posterior samples: 54268



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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
$M_f$ $138^{+42}_{-66}$ -- $161$
$\chi_f$ $0.84^{+0.13}_{-1.29}$ -- $0.94$
$\iota$ $1.27^{+0.97}_{-0.86}$ -- $1.50$
$\log_{10}A_{220}$ $-20.84^{+0.42}_{-0.79}$ -- $-20.50$
$\phi_{220}$ $3.2^{+2.6}_{-2.9}$ -- $0.6$
$f_{220}$ $146^{+16}_{-25}$ -- $147$
$\tau_{220}$ $0.0096^{+0.0086}_{-0.0055}$ -- $0.0142$
$A_{220}$ $1.5^{+2.4}_{-1.2}\times 10^{-21}$ -- $3.1\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 53831



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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
$M_f$ $80^{+12}_{-13}$ -- $82$
$\chi_f$ $0.66^{+0.16}_{-0.31}$ -- $0.70$
$\iota$ $0.87^{+0.41}_{-0.59}$ -- $1.17$
$\log_{10}A_{220}$ $-20.45^{+0.29}_{-0.22}$ -- $-20.26$
$\phi_{220}$ $3.2^{+2.7}_{-2.7}$ -- $4.5$
$f_{220}$ $208.3^{+9.6}_{-9.5}$ -- $209.2$
$\tau_{220}$ $0.0048^{+0.0013}_{-0.0010}$ -- $0.0050$
$A_{220}$ $3.5^{+3.3}_{-1.4}\times 10^{-21}$ -- $5.4\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 56706



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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
$M_f$ $89^{+49}_{-25}$ -- $100$
$\chi_f$ $0.30^{+0.55}_{-1.09}$ -- $0.67$
$\iota$ $2.22^{+0.63}_{-0.49}$ -- $1.93$
$\log_{10}A_{220}$ $-20.84^{+0.30}_{-0.41}$ -- $-20.64$
$\phi_{220}$ $3.1^{+2.8}_{-2.7}$ -- $1.7$
$f_{220}$ $155^{+34}_{-44}$ -- $168$
$\tau_{220}$ $0.0050^{+0.0045}_{-0.0015}$ -- $0.0060$
$A_{220}$ $1.43^{+1.41}_{-0.87}\times 10^{-21}$ -- $2.27\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 41971



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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
$M_f$ $103^{+27}_{-35}$ -- $120$
$\chi_f$ $0.80^{+0.15}_{-0.78}$ -- $0.91$
$\iota$ $1.80^{+0.92}_{-1.24}$ -- $1.62$
$\log_{10}A_{220}$ $-20.92^{+0.43}_{-0.37}$ -- $-20.79$
$\phi_{220}$ $3.1^{+2.6}_{-2.7}$ -- $4.1$
$f_{220}$ $184^{+13}_{-17}$ -- $185$
$\tau_{220}$ $0.0067^{+0.0052}_{-0.0029}$ -- $0.0095$
$A_{220}$ $1.21^{+2.03}_{-0.70}\times 10^{-21}$ -- $1.61\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 51387



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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
$M_f$ $122^{+45}_{-35}$ -- $154$
$\chi_f$ $0.45^{+0.42}_{-1.12}$ -- $0.83$
$\iota$ $1.04^{+0.39}_{-0.70}$ -- $1.37$
$\log_{10}A_{220}$ $-20.63^{+0.37}_{-0.35}$ -- $-20.35$
$\phi_{220}$ $3.2^{+2.6}_{-2.5}$ -- $4.7$
$f_{220}$ $122^{+14}_{-20}$ -- $127$
$\tau_{220}$ $0.0070^{+0.0050}_{-0.0022}$ -- $0.0103$
$A_{220}$ $2.4^{+3.2}_{-1.3}\times 10^{-21}$ -- $4.5\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 48874



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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
$M_f$ $114^{+16}_{-20}$ -- $115$
$\chi_f$ $0.77^{+0.12}_{-0.29}$ -- $0.79$
$\iota$ $1.02^{+0.53}_{-0.70}$ -- $1.51$
$\log_{10}A_{220}$ $-20.63^{+0.23}_{-0.29}$ -- $-20.45$
$\phi_{220}$ $3.2^{+2.4}_{-2.7}$ -- $4.3$
$f_{220}$ $161^{+10}_{-10}$ -- $162$
$\tau_{220}$ $0.0073^{+0.0025}_{-0.0018}$ -- $0.0074$
$A_{220}$ $2.3^{+1.6}_{-1.1}\times 10^{-21}$ -- $3.5\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 57647



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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
$M_f$ $89^{+35}_{-31}$ -- $119$
$\chi_f$ $0.66^{+0.29}_{-1.24}$ -- $0.96$
$\iota$ $1.5^{+1.2}_{-1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.78^{+0.43}_{-0.52}$ -- $-20.70$
$\phi_{220}$ $3.1^{+2.9}_{-2.8}$ -- $5.1$
$f_{220}$ $187^{+29}_{-33}$ -- $209$
$\tau_{220}$ $0.0054^{+0.0057}_{-0.0022}$ -- $0.0121$
$A_{220}$ $1.7^{+2.8}_{-1.2}\times 10^{-21}$ -- $2\times 10^{-21}$

Detectors: H1, V1

Number of posterior samples: 46654



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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
$M_f$ $98^{+21}_{-26}$ -- $109$
$\chi_f$ $0.81^{+0.13}_{-0.50}$ -- $0.89$
$\iota$ $0.89^{+0.41}_{-0.59}$ -- $1.19$
$\log_{10}A_{220}$ $-20.74^{+0.30}_{-0.27}$ -- $-20.52$
$\phi_{220}$ $3.2^{+2.8}_{-2.9}$ -- $0.5$
$f_{220}$ $193^{+11}_{-12}$ -- $194$
$\tau_{220}$ $0.0064^{+0.0036}_{-0.0024}$ -- $0.0080$
$A_{220}$ $1.83^{+1.86}_{-0.84}\times 10^{-21}$ -- $3.00\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 54829



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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
$M_f$ $131^{+37}_{-50}$ -- $153$
$\chi_f$ $0.81^{+0.14}_{-0.83}$ -- $0.91$
$\iota$ $2.05^{+0.74}_{-0.46}$ -- $1.69$
$\log_{10}A_{220}$ $-20.55^{+0.34}_{-0.38}$ -- $-20.32$
$\phi_{220}$ $3.2^{+2.8}_{-2.7}$ -- $5.5$
$f_{220}$ $146^{+12}_{-11}$ -- $144$
$\tau_{220}$ $0.0086^{+0.0068}_{-0.0041}$ -- $0.0120$
$A_{220}$ $2.8^{+3.4}_{-1.7}\times 10^{-21}$ -- $4.8\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 54618



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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
$M_f$ $78^{+32}_{-31}$ -- $102$
$\chi_f$ $0.75^{+0.20}_{-1.19}$ -- $0.93$
$\iota$ $2.06^{+0.73}_{-1.22}$ -- $1.70$
$\log_{10}A_{220}$ $-20.58^{+0.36}_{-0.50}$ -- $-20.43$
$\phi_{220}$ $3.2^{+2.7}_{-2.7}$ -- $4.8$
$f_{220}$ $234^{+28}_{-43}$ -- $227$
$\tau_{220}$ $0.0049^{+0.0053}_{-0.0024}$ -- $0.0086$
$A_{220}$ $2.6^{+3.3}_{-1.8}\times 10^{-21}$ -- $3.7\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 48825



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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
$M_f$ $60^{+24}_{-19}$ -- $85$
$\chi_f$ $0.56^{+0.38}_{-1.20}$ -- $0.96$
$\iota$ $1.32^{+1.24}_{-0.90}$ -- $1.51$
$\log_{10}A_{220}$ $-20.38^{+0.31}_{-0.36}$ -- $-20.29$
$\phi_{220}$ $3.1^{+2.9}_{-2.9}$ -- $5.5$
$f_{220}$ $267^{+30}_{-43}$ -- $289$
$\tau_{220}$ $0.0035^{+0.0040}_{-0.0012}$ -- $0.0081$
$A_{220}$ $4.2^{+4.3}_{-2.4}\times 10^{-21}$ -- $5.1\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 52669



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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
$M_f$ $91^{+19}_{-31}$ -- $100$
$\chi_f$ $0.882^{+0.084}_{-0.528}$ -- $0.930$
$\iota$ $1.91^{+0.84}_{-0.49}$ -- $1.69$
$\log_{10}A_{220}$ $-20.46^{+0.24}_{-0.42}$ -- $-20.32$
$\phi_{220}$ $3.1^{+2.3}_{-2.3}$ -- $1.5$
$f_{220}$ $231^{+13}_{-13}$ -- $230$
$\tau_{220}$ $0.0067^{+0.0050}_{-0.0032}$ -- $0.0084$
$A_{220}$ $3.5^{+2.6}_{-2.2}\times 10^{-21}$ -- $4.7\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 60343



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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
$M_f$ $91^{+37}_{-29}$ -- $107$
$\chi_f$ $0.53^{+0.37}_{-1.16}$ -- $0.79$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.80^{+0.43}_{-0.39}$ -- $-20.62$
$\phi_{220}$ $3.1^{+2.7}_{-2.6}$ -- $4.5$
$f_{220}$ $170^{+18}_{-29}$ -- $174$
$\tau_{220}$ $0.0053^{+0.0044}_{-0.0018}$ -- $0.0069$
$A_{220}$ $1.6^{+2.7}_{-1.0}\times 10^{-21}$ -- $2.4\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 45887



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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: