W1. GW150914_095045

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $87.6^{+9.2}_{-11}$ -- $90.6$
$\chi_f$ $0.848^{+0.068}_{-0.138}$ -- $0.876$
$\iota$ $1.7^{+1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.21^{+0.21}_{-0.32}$ -- $-20.07$
$\phi_{220}$ $3.1^{+2.6}_{-2.4}$ -- $5$
$f_{220}$ $229.3^{+7.7}_{-9.4}$ -- $230.6$
$\tau_{220}$ $0.0060^{+0.0016}_{-0.0013}$ -- $0.0065$
$A_{220}$ $6.1^{+3.8}_{-3.1}\times 10^{-21}$ -- $8.5\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 65912



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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
$M_f$ $72^{+19}_{-24}$ -- $83$
$\chi_f$ $0.78^{+0.17}_{-0.79}$ -- $0.93$
$\iota$ $1.18^{+1.24}_{-0.81}$ -- $1.54$
$\log_{10}A_{220}$ $-20.61^{+0.34}_{-0.38}$ -- $-20.45$
$\phi_{220}$ $3.2^{+2.8}_{-2.7}$ -- $5.2$
$f_{220}$ $259^{+26}_{-32}$ -- $277$
$\tau_{220}$ $0.0046^{+0.0037}_{-0.0019}$ -- $0.0069$
$A_{220}$ $2.4^{+2.9}_{-1.4}\times 10^{-21}$ -- $3.5\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 51572



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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
$M_f$ $51^{+22}_{-16}$ -- $68$
$\chi_f$ $0.45^{+0.44}_{-1.14}$ -- $0.83$
$\iota$ $1.19^{+1.28}_{-0.82}$ -- $1.56$
$\log_{10}A_{220}$ $-20.70^{+0.39}_{-0.34}$ -- $-20.61$
$\phi_{220}$ $3.1^{+2.7}_{-2.8}$ -- $0.8$
$f_{220}$ $287^{+28}_{-33}$ -- $288$
$\tau_{220}$ $0.0029^{+0.0025}_{-0.0010}$ -- $0.0046$
$A_{220}$ $2^{+2.9}_{-1.1}\times 10^{-21}$ -- $2.4\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 48343



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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
$M_f$ $38^{+19}_{-10}$ -- $49$
$\chi_f$ $0.13^{+0.70}_{-0.97}$ -- $0.63$
$\iota$ $1.03^{+0.95}_{-0.70}$ -- $1.40$
$\log_{10}A_{220}$ $-20.68^{+0.35}_{-0.30}$ -- $-20.57$
$\phi_{220}$ $3.2^{+2.7}_{-2.8}$ -- $0.5$
$f_{220}$ $333^{+34}_{-33}$ -- $336$
$\tau_{220}$ $0.00213^{+0.00173}_{-0.00053}$ -- $0.00288$
$A_{220}$ $2.1^{+2.6}_{-1}\times 10^{-21}$ -- $2.7\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 46579



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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
$M_f$ $74^{+35}_{-21}$ -- $85$
$\chi_f$ $0.31^{+0.52}_{-1.04}$ -- $0.55$
$\iota$ $1.88^{+0.88}_{-1.25}$ -- $1.60$
$\log_{10}A_{220}$ $-20.69^{+0.26}_{-0.35}$ -- $-20.52$
$\phi_{220}$ $3.1^{+2.9}_{-2.9}$ -- $3.4$
$f_{220}$ $184^{+26}_{-22}$ -- $183$
$\tau_{220}$ $0.0042^{+0.0031}_{-0.0012}$ -- $0.0049$
$A_{220}$ $2.1^{+1.7}_{-1.1}\times 10^{-21}$ -- $3\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 48132



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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
$M_f$ $175^{+41}_{-49}$ -- $198$
$\chi_f$ $0.79^{+0.14}_{-0.50}$ -- $0.89$
$\iota$ $2.13^{+0.69}_{-0.57}$ -- $1.78$
$\log_{10}A_{220}$ $-20.90^{+0.35}_{-0.32}$ -- $-20.69$
$\phi_{220}$ $3.1^{+2.7}_{-2.6}$ -- $2.2$
$f_{220}$ $106.8^{+6.9}_{-6.2}$ -- $107.1$
$\tau_{220}$ $0.0113^{+0.0064}_{-0.0042}$ -- $0.0146$
$A_{220}$ $1.27^{+1.57}_{-0.66}\times 10^{-21}$ -- $2.05\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 51201



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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
$M_f$ $113^{+46}_{-36}$ -- $146$
$\chi_f$ $0.46^{+0.47}_{-1.23}$ -- $0.92$
$\iota$ $1.7^{+1.0}_{-1.2}$ -- $1.6$
$\log_{10}A_{220}$ $-20.99^{+0.40}_{-0.34}$ -- $-20.78$
$\phi_{220}$ $3.1^{+2.8}_{-2.8}$ -- $2.3$
$f_{220}$ $140^{+20}_{-54}$ -- $156$
$\tau_{220}$ $0.0066^{+0.0063}_{-0.0023}$ -- $0.0120$
$A_{220}$ $1.03^{+1.58}_{-0.56}\times 10^{-21}$ -- $1.66\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 45711



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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
$M_f$ $85^{+39}_{-24}$ -- $111$
$\chi_f$ $0.35^{+0.52}_{-1.12}$ -- $0.83$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.77^{+0.41}_{-0.33}$ -- $-20.66$
$\phi_{220}$ $3.1^{+2.7}_{-2.7}$ -- $4.1$
$f_{220}$ $168^{+16}_{-29}$ -- $176$
$\tau_{220}$ $0.0048^{+0.0039}_{-0.0014}$ -- $0.0075$
$A_{220}$ $1.70^{+2.66}_{-0.91}\times 10^{-21}$ -- $2.18\times 10^{-21}$

Detectors: L1

Number of posterior samples: 45493



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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
$M_f$ $79^{+30}_{-22}$ -- $87$
$\chi_f$ $0.36^{+0.44}_{-1.01}$ -- $0.55$
$\iota$ $1.98^{+0.79}_{-1.25}$ -- $1.67$
$\log_{10}A_{220}$ $-20.59^{+0.23}_{-0.29}$ -- $-20.46$
$\phi_{220}$ $3.2^{+2.5}_{-2.6}$ -- $5$
$f_{220}$ $178^{+19}_{-20}$ -- $178$
$\tau_{220}$ $0.0044^{+0.0026}_{-0.0013}$ -- $0.0051$
$A_{220}$ $2.5^{+1.8}_{-1.2}\times 10^{-21}$ -- $3.5\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 49097



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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
$M_f$ $47^{+25}_{-15}$ -- $62$
$\chi_f$ $0.43^{+0.47}_{-1.18}$ -- $0.90$
$\iota$ $1.37^{+1.22}_{-0.94}$ -- $1.61$
$\log_{10}A_{220}$ $-20.80^{+0.39}_{-0.46}$ -- $-20.62$
$\phi_{220}$ $3.1^{+2.7}_{-2.6}$ -- $4.1$
$f_{220}$ $318^{+46}_{-81}$ -- $348$
$\tau_{220}$ $0.00272^{+0.00296}_{-0.00095}$ -- $0.00465$
$A_{220}$ $1.6^{+2.3}_{-1}\times 10^{-21}$ -- $2.4\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 47084



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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
$M_f$ $90^{+26}_{-27}$ -- $111$
$\chi_f$ $0.68^{+0.24}_{-0.93}$ -- $0.90$
$\iota$ $2.23^{+0.61}_{-0.48}$ -- $1.87$
$\log_{10}A_{220}$ $-20.62^{+0.28}_{-0.28}$ -- $-20.50$
$\phi_{220}$ $3.1^{+2.9}_{-2.8}$ -- $5.9$
$f_{220}$ $190^{+19}_{-28}$ -- $196$
$\tau_{220}$ $0.0054^{+0.0036}_{-0.0019}$ -- $0.0084$
$A_{220}$ $2.4^{+2.2}_{-1.1}\times 10^{-21}$ -- $3.2\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 49188



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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
$M_f$ $125^{+43}_{-48}$ -- $163$
$\chi_f$ $0.76^{+0.20}_{-1.16}$ -- $0.95$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.94^{+0.41}_{-0.37}$ -- $-20.85$
$\phi_{220}$ $3.2^{+2.6}_{-2.7}$ -- $4.2$
$f_{220}$ $145.4^{+9}_{-13.7}$ -- $146.9$
$\tau_{220}$ $0.0079^{+0.0083}_{-0.0036}$ -- $0.0149$
$A_{220}$ $1.16^{+1.80}_{-0.67}\times 10^{-21}$ -- $1.42\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 52173



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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
$M_f$ $77^{+24}_{-25}$ -- $100$
$\chi_f$ $0.73^{+0.22}_{-0.87}$ -- $0.95$
$\iota$ $1.00^{+0.72}_{-0.68}$ -- $1.09$
$\log_{10}A_{220}$ $-20.53^{+0.30}_{-0.33}$ -- $-20.55$
$\phi_{220}$ $3.1^{+2.7}_{-2.6}$ -- $4.8$
$f_{220}$ $234^{+17}_{-37}$ -- $244$
$\tau_{220}$ $0.0048^{+0.0044}_{-0.0019}$ -- $0.0094$
$A_{220}$ $3^{+3}_{-1.6}\times 10^{-21}$ -- $2.8\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 51200



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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
$M_f$ $117^{+165}_{-87}$ -- $112$
$\chi_f$ $0.03^{+0.89}_{-0.92}$ -- $0.99$
$\iota$ $1.36^{+1.24}_{-0.95}$ -- $1.38$
$\log_{10}A_{220}$ $-21.7^{+1.1}_{-2.1}$ -- $-20.6$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $4.6$
$f_{220}$ $113^{+347}_{-73}$ -- $250$
$\tau_{220}$ $0.0073^{+0.0090}_{-0.0056}$ -- $0.0183$
$A_{220}$ $2.1^{+23}_{-2.1}\times 10^{-22}$ -- $2.79\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 45019



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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
$M_f$ $165^{+28}_{-32}$ -- $169$
$\chi_f$ $0.78^{+0.13}_{-0.32}$ -- $0.80$
$\iota$ $1.5^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.81^{+0.27}_{-0.33}$ -- $-20.65$
$\phi_{220}$ $3.2^{+2.5}_{-2.8}$ -- $3.8$
$f_{220}$ $111.8^{+8.1}_{-7.8}$ -- $112.2$
$\tau_{220}$ $0.0106^{+0.0041}_{-0.0029}$ -- $0.0110$
$A_{220}$ $1.56^{+1.37}_{-0.83}\times 10^{-21}$ -- $2.22\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 56688



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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
$M_f$ $352^{+29}_{-34}$ -- $353$
$\chi_f$ $0.911^{+0.037}_{-0.066}$ -- $0.912$
$\iota$ $1.22^{+0.27}_{-0.82}$ -- $1.38$
$\log_{10}A_{220}$ $-20.60^{+0.26}_{-0.42}$ -- $-20.42$
$\phi_{220}$ $3^{+3}_{-2.1}$ -- $2.5$
$f_{220}$ $63^{+2.2}_{-2.3}$ -- $62.9$
$\tau_{220}$ $0.0276^{+0.0071}_{-0.0057}$ -- $0.0278$
$A_{220}$ $2.5^{+2.1}_{-1.6}\times 10^{-21}$ -- $3.8\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 65349



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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
$M_f$ $110^{+14}_{-18}$ -- $115$
$\chi_f$ $0.830^{+0.088}_{-0.219}$ -- $0.869$
$\iota$ $2.05^{+0.75}_{-1.11}$ -- $1.61$
$\log_{10}A_{220}$ $-20.56^{+0.27}_{-0.30}$ -- $-20.39$
$\phi_{220}$ $3.1^{+2.6}_{-2.5}$ -- $2$
$f_{220}$ $177.6^{+9.1}_{-10.4}$ -- $180.5$
$\tau_{220}$ $0.0074^{+0.0025}_{-0.0019}$ -- $0.0081$
$A_{220}$ $2.8^{+2.3}_{-1.4}\times 10^{-21}$ -- $4.1\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 59569



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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
$M_f$ $188^{+37}_{-42}$ -- $204$
$\chi_f$ $0.73^{+0.16}_{-0.44}$ -- $0.83$
$\iota$ $0.93^{+0.47}_{-0.63}$ -- $1.23$
$\log_{10}A_{220}$ $-20.63^{+0.28}_{-0.26}$ -- $-20.51$
$\phi_{220}$ $3.2^{+2.7}_{-2.7}$ -- $1.3$
$f_{220}$ $94^{+5.7}_{-7.1}$ -- $95.9$
$\tau_{220}$ $0.0117^{+0.0050}_{-0.0034}$ -- $0.0136$
$A_{220}$ $2.3^{+2.1}_{-1.1}\times 10^{-21}$ -- $3.1\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 51905



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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
$M_f$ $141^{+39}_{-34}$ -- $142$
$\chi_f$ $0.43^{+0.37}_{-0.90}$ -- $0.70$
$\iota$ $2.20^{+0.65}_{-0.58}$ -- $1.71$
$\log_{10}A_{220}$ $-20.81^{+0.26}_{-0.25}$ -- $-20.67$
$\phi_{220}$ $3.1^{+2.9}_{-2.8}$ -- $2.8$
$f_{220}$ $101^{+23}_{-16}$ -- $121$
$\tau_{220}$ $0.0081^{+0.0033}_{-0.0021}$ -- $0.0086$
$A_{220}$ $1.55^{+1.25}_{-0.68}\times 10^{-21}$ -- $2.16\times 10^{-21}$

Detectors: L1, V1

Number of posterior samples: 42534



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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
$M_f$ $139^{+36}_{-42}$ -- $150$
$\chi_f$ $0.68^{+0.21}_{-0.82}$ -- $0.77$
$\iota$ $0.97^{+0.40}_{-0.65}$ -- $1.30$
$\log_{10}A_{220}$ $-20.59^{+0.26}_{-0.30}$ -- $-20.43$
$\phi_{220}$ $3.2^{+2.3}_{-2.6}$ -- $1.4$
$f_{220}$ $121.9^{+8.1}_{-8.5}$ -- $122.4$
$\tau_{220}$ $0.0084^{+0.0046}_{-0.0030}$ -- $0.0095$
$A_{220}$ $2.6^{+2.1}_{-1.3}\times 10^{-21}$ -- $3.8\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 53125



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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
$M_f$ $202^{+39}_{-52}$ -- $242$
$\chi_f$ $0.82^{+0.15}_{-0.62}$ -- $0.98$
$\iota$ $1.04^{+0.56}_{-0.70}$ -- $1.53$
$\log_{10}A_{220}$ $-20.97^{+0.52}_{-0.37}$ -- $-20.89$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $5.6$
$f_{220}$ $96^{+14}_{-13}$ -- $109$
$\tau_{220}$ $0.0135^{+0.0138}_{-0.0051}$ -- $0.0297$
$A_{220}$ $1.08^{+2.49}_{-0.62}\times 10^{-21}$ -- $1.28\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 55384



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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
$M_f$ $95^{+34}_{-27}$ -- $114$
$\chi_f$ $0.46^{+0.41}_{-1.10}$ -- $0.78$
$\iota$ $1.04^{+0.51}_{-0.70}$ -- $1.38$
$\log_{10}A_{220}$ $-20.74^{+0.33}_{-0.34}$ -- $-20.52$
$\phi_{220}$ $3.2^{+2.5}_{-2.7}$ -- $1.1$
$f_{220}$ $157^{+13}_{-19}$ -- $163$
$\tau_{220}$ $0.0054^{+0.0038}_{-0.0017}$ -- $0.0073$
$A_{220}$ $1.8^{+2.1}_{-1.0}\times 10^{-21}$ -- $3.0\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 49080



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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
$M_f$ $145^{+109}_{-82}$ -- $164$
$\chi_f$ $0.79^{+0.17}_{-1.50}$ -- $0.94$
$\iota$ $2.13^{+0.69}_{-1.24}$ -- $1.93$
$\log_{10}A_{220}$ $-21.04^{+0.41}_{-2.40}$ -- $-20.69$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $3.6$
$f_{220}$ $142^{+68}_{-93}$ -- $143$
$\tau_{220}$ $0.0100^{+0.0085}_{-0.0064}$ -- $0.0143$
$A_{220}$ $9.2^{+14.6}_{-9.2}\times 10^{-22}$ -- $2.05\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 47587



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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
$M_f$ $141^{+45}_{-45}$ -- $160$
$\chi_f$ $0.70^{+0.21}_{-0.94}$ -- $0.79$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.85^{+0.43}_{-0.35}$ -- $-20.64$
$\phi_{220}$ $3.2^{+2.8}_{-2.9}$ -- $0.2$
$f_{220}$ $120^{+26}_{-16}$ -- $117$
$\tau_{220}$ $0.0086^{+0.0057}_{-0.0033}$ -- $0.0103$
$A_{220}$ $1.41^{+2.35}_{-0.79}\times 10^{-21}$ -- $2.29\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 43767



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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
$M_f$ $108^{+37}_{-31}$ -- $134$
$\chi_f$ $0.46^{+0.43}_{-1.12}$ -- $0.86$
$\iota$ $2.01^{+0.77}_{-1.30}$ -- $1.54$
$\log_{10}A_{220}$ $-20.86^{+0.35}_{-0.32}$ -- $-20.73$
$\phi_{220}$ $3.1^{+2.9}_{-2.8}$ -- $5.4$
$f_{220}$ $138^{+21}_{-23}$ -- $152$
$\tau_{220}$ $0.0062^{+0.0045}_{-0.0019}$ -- $0.0094$
$A_{220}$ $1.37^{+1.73}_{-0.72}\times 10^{-21}$ -- $1.87\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 44510



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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
$M_f$ $64^{+23}_{-13}$ -- $52$
$\chi_f$ $-0.29^{+0.86}_{-0.62}$ -- $-0.90$
$\iota$ $2.05^{+0.75}_{-1.14}$ -- $1.73$
$\log_{10}A_{220}$ $-20.73^{+0.32}_{-0.25}$ -- $-20.59$
$\phi_{220}$ $3.1^{+2.7}_{-2.6}$ -- $1.9$
$f_{220}$ $182^{+31}_{-42}$ -- $184$
$\tau_{220}$ $0.00353^{+0.00147}_{-0.00071}$ -- $0.00291$
$A_{220}$ $1.88^{+2.07}_{-0.83}\times 10^{-21}$ -- $2.59\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 43965



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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
$M_f$ $132^{+20}_{-30}$ -- $146$
$\chi_f$ $0.908^{+0.060}_{-0.229}$ -- $0.957$
$\iota$ $1.19^{+1.18}_{-0.80}$ -- $1.53$
$\log_{10}A_{220}$ $-20.79^{+0.43}_{-0.36}$ -- $-20.64$
$\phi_{220}$ $3.2^{+2.9}_{-2.8}$ -- $2.7$
$f_{220}$ $166.5^{+7.6}_{-8.2}$ -- $168$
$\tau_{220}$ $0.0103^{+0.0060}_{-0.0041}$ -- $0.0143$
$A_{220}$ $1.64^{+2.78}_{-0.92}\times 10^{-21}$ -- $2.29\times 10^{-21}$

Detectors: L1, V1

Number of posterior samples: 57092



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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
$M_f$ $69^{+26}_{-16}$ -- $75$
$\chi_f$ $0.06^{+0.65}_{-0.89}$ -- $0.31$
$\iota$ $1.86^{+0.87}_{-1.22}$ -- $1.58$
$\log_{10}A_{220}$ $-20.63^{+0.33}_{-0.29}$ -- $-20.50$
$\phi_{220}$ $3.2^{+2.5}_{-2.6}$ -- $4.5$
$f_{220}$ $180^{+24}_{-25}$ -- $183$
$\tau_{220}$ $0.00384^{+0.00198}_{-0.00087}$ -- $0.00419$
$A_{220}$ $2.4^{+2.6}_{-1.2}\times 10^{-21}$ -- $3.2\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 45606



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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
$M_f$ $147^{+46}_{-50}$ -- $175$
$\chi_f$ $0.70^{+0.23}_{-1.13}$ -- $0.90$
$\iota$ $1.7^{+1}_{-1.2}$ -- $1.6$
$\log_{10}A_{220}$ $-21.09^{+0.36}_{-0.36}$ -- $-20.90$
$\phi_{220}$ $3.1^{+2.7}_{-2.7}$ -- $1.6$
$f_{220}$ $119^{+11}_{-23}$ -- $125$
$\tau_{220}$ $0.0090^{+0.0074}_{-0.0036}$ -- $0.0135$
$A_{220}$ $8.1^{+10.2}_{-4.5}\times 10^{-22}$ -- $1.26\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 47279



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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
$M_f$ $201^{+21}_{-23}$ -- $203$
$\chi_f$ $0.889^{+0.048}_{-0.091}$ -- $0.904$
$\iota$ $2.01^{+0.77}_{-0.26}$ -- $1.77$
$\log_{10}A_{220}$ $-20.55^{+0.39}_{-0.40}$ -- $-20.20$
$\phi_{220}$ $3.1^{+2.3}_{-2.7}$ -- $4.1$
$f_{220}$ $105.6^{+5.5}_{-4.9}$ -- $107.5$
$\tau_{220}$ $0.0149^{+0.0042}_{-0.0032}$ -- $0.0156$
$A_{220}$ $2.8^{+4.2}_{-1.7}\times 10^{-21}$ -- $6.4\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 64954



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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
$M_f$ $116^{+107}_{-31}$ -- $128$
$\chi_f$ $-0.03^{+0.80}_{-0.85}$ -- $0.26$
$\iota$ $1.02^{+1.06}_{-0.70}$ -- $1.33$
$\log_{10}A_{220}$ $-20.91^{+0.33}_{-0.40}$ -- $-20.64$
$\phi_{220}$ $3.2^{+2.7}_{-2.8}$ -- $3.6$
$f_{220}$ $106^{+24}_{-53}$ -- $104$
$\tau_{220}$ $0.0065^{+0.0073}_{-0.0017}$ -- $0.0072$
$A_{220}$ $1.22^{+1.38}_{-0.74}\times 10^{-21}$ -- $2.29\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 39608



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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
$M_f$ $47^{+19}_{-10}$ -- $45$
$\chi_f$ $-0.09^{+0.76}_{-0.78}$ -- $-0.16$
$\iota$ $1.09^{+1.24}_{-0.75}$ -- $1.50$
$\log_{10}A_{220}$ $-20.70^{+0.34}_{-0.28}$ -- $-20.55$
$\phi_{220}$ $3.1^{+2.8}_{-2.7}$ -- $1.3$
$f_{220}$ $256^{+33}_{-38}$ -- $257$
$\tau_{220}$ $0.00259^{+0.00130}_{-0.00054}$ -- $0.00247$
$A_{220}$ $2.0^{+2.4}_{-1.0}\times 10^{-21}$ -- $2.8\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 44884



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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
$M_f$ $127^{+43}_{-38}$ -- $140$
$\chi_f$ $0.55^{+0.32}_{-1.05}$ -- $0.73$
$\iota$ $1.25^{+1.29}_{-0.86}$ -- $1.57$
$\log_{10}A_{220}$ $-20.93^{+0.31}_{-0.32}$ -- $-20.75$
$\phi_{220}$ $3.1^{+2.6}_{-2.6}$ -- $4.6$
$f_{220}$ $122^{+12}_{-14}$ -- $126$
$\tau_{220}$ $0.0074^{+0.0048}_{-0.0025}$ -- $0.0086$
$A_{220}$ $1.18^{+1.22}_{-0.62}\times 10^{-21}$ -- $1.76\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 46852



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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
$M_f$ $171^{+42}_{-66}$ -- $207$
$\chi_f$ $0.86^{+0.10}_{-0.70}$ -- $0.96$
$\iota$ $2.20^{+0.63}_{-0.50}$ -- $2.36$
$\log_{10}A_{220}$ $-20.95^{+0.32}_{-0.31}$ -- $-21.11$
$\phi_{220}$ $3.1^{+2.8}_{-2.7}$ -- $4.7$
$f_{220}$ $119.7^{+9}_{-6.5}$ -- $119.1$
$\tau_{220}$ $0.0121^{+0.0104}_{-0.0062}$ -- $0.0202$
$A_{220}$ $1.12^{+1.21}_{-0.57}\times 10^{-21}$ -- $7.7\times 10^{-22}$

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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W35. GW170727_010430

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $132^{+37}_{-45}$ -- $145$
$\chi_f$ $0.85^{+0.11}_{-0.90}$ -- $0.91$
$\iota$ $2.15^{+0.67}_{-0.51}$ -- $1.84$
$\log_{10}A_{220}$ $-20.70^{+0.39}_{-0.48}$ -- $-20.39$
$\phi_{220}$ $3.2^{+2.6}_{-2.8}$ -- $4$
$f_{220}$ $153^{+19}_{-31}$ -- $152$
$\tau_{220}$ $0.0092^{+0.0071}_{-0.0044}$ -- $0.0113$
$A_{220}$ $2^{+2.8}_{-1.3}\times 10^{-21}$ -- $4\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 48788



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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
$M_f$ $118^{+49}_{-39}$ -- $138$
$\chi_f$ $0.59^{+0.32}_{-1.20}$ -- $0.88$
$\iota$ $2.00^{+0.79}_{-0.73}$ -- $1.72$
$\log_{10}A_{220}$ $-20.91^{+0.41}_{-0.60}$ -- $-20.51$
$\phi_{220}$ $3^{+2.7}_{-2.5}$ -- $4.5$
$f_{220}$ $137^{+24}_{-42}$ -- $153$
$\tau_{220}$ $0.0070^{+0.0061}_{-0.0026}$ -- $0.0100$
$A_{220}$ $1.23^{+1.97}_{-0.92}\times 10^{-21}$ -- $3.06\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 47172



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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
$M_f$ $92^{+17}_{-21}$ -- $101$
$\chi_f$ $0.79^{+0.12}_{-0.39}$ -- $0.88$
$\iota$ $1.4^{+1.2}_{-1.0}$ -- $1.6$
$\log_{10}A_{220}$ $-20.45^{+0.41}_{-0.31}$ -- $-20.28$
$\phi_{220}$ $3.1^{+2.7}_{-2.7}$ -- $5.1$
$f_{220}$ $205^{+12}_{-15}$ -- $207$
$\tau_{220}$ $0.0060^{+0.0026}_{-0.0019}$ -- $0.0072$
$A_{220}$ $3.6^{+5.6}_{-1.8}\times 10^{-21}$ -- $5.3\times 10^{-21}$

Detectors: L1, V1

Number of posterior samples: 54805



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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
$M_f$ $135^{+38}_{-60}$ -- $165$
$\chi_f$ $0.84^{+0.13}_{-1.17}$ -- $0.95$
$\iota$ $1.13^{+0.73}_{-0.78}$ -- $1.45$
$\log_{10}A_{220}$ $-20.84^{+0.40}_{-0.47}$ -- $-20.54$
$\phi_{220}$ $3.1^{+2.7}_{-2.9}$ -- $0.4$
$f_{220}$ $147^{+13}_{-13}$ -- $148$
$\tau_{220}$ $0.0092^{+0.0084}_{-0.0051}$ -- $0.0155$
$A_{220}$ $1.4^{+2.1}_{-1.0}\times 10^{-21}$ -- $2.9\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 53878



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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
$M_f$ $77^{+12}_{-13}$ -- $78$
$\chi_f$ $0.59^{+0.19}_{-0.38}$ -- $0.62$
$\iota$ $0.90^{+0.40}_{-0.61}$ -- $1.19$
$\log_{10}A_{220}$ $-20.41^{+0.29}_{-0.22}$ -- $-20.20$
$\phi_{220}$ $3.1^{+2.6}_{-2.6}$ -- $1.5$
$f_{220}$ $205.5^{+9}_{-9}$ -- $207.4$
$\tau_{220}$ $0.00452^{+0.00116}_{-0.00093}$ -- $0.00459$
$A_{220}$ $3.9^{+3.8}_{-1.6}\times 10^{-21}$ -- $6.3\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 58294



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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
$M_f$ $91^{+53}_{-29}$ -- $103$
$\chi_f$ $0.40^{+0.48}_{-1.14}$ -- $0.73$
$\iota$ $2.20^{+0.65}_{-0.59}$ -- $1.97$
$\log_{10}A_{220}$ $-20.89^{+0.31}_{-0.74}$ -- $-20.71$
$\phi_{220}$ $3.2^{+2.8}_{-2.8}$ -- $4.7$
$f_{220}$ $160^{+36}_{-49}$ -- $171$
$\tau_{220}$ $0.0052^{+0.0052}_{-0.0018}$ -- $0.0063$
$A_{220}$ $1.3^{+1.3}_{-1.1}\times 10^{-21}$ -- $1.9\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 42594



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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
$M_f$ $109^{+26}_{-37}$ -- $123$
$\chi_f$ $0.84^{+0.12}_{-0.68}$ -- $0.93$
$\iota$ $1.83^{+0.91}_{-1.26}$ -- $1.59$
$\log_{10}A_{220}$ $-20.98^{+0.41}_{-0.37}$ -- $-20.78$
$\phi_{220}$ $3.1^{+2.7}_{-2.7}$ -- $0.9$
$f_{220}$ $184^{+13}_{-20}$ -- $186$
$\tau_{220}$ $0.0074^{+0.0057}_{-0.0034}$ -- $0.0103$
$A_{220}$ $1.05^{+1.65}_{-0.60}\times 10^{-21}$ -- $1.67\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 52168



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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
$M_f$ $128^{+46}_{-39}$ -- $156$
$\chi_f$ $0.54^{+0.36}_{-1.14}$ -- $0.84$
$\iota$ $0.98^{+0.43}_{-0.67}$ -- $1.34$
$\log_{10}A_{220}$ $-20.70^{+0.35}_{-0.33}$ -- $-20.39$
$\phi_{220}$ $3.2^{+2.7}_{-2.7}$ -- $4.7$
$f_{220}$ $122^{+14}_{-21}$ -- $127$
$\tau_{220}$ $0.0075^{+0.0056}_{-0.0025}$ -- $0.0107$
$A_{220}$ $2^{+2.5}_{-1.1}\times 10^{-21}$ -- $4.1\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 48162



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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
$M_f$ $116^{+16}_{-18}$ -- $119$
$\chi_f$ $0.80^{+0.11}_{-0.23}$ -- $0.82$
$\iota$ $1.00^{+0.52}_{-0.68}$ -- $1.51$
$\log_{10}A_{220}$ $-20.66^{+0.24}_{-0.28}$ -- $-20.47$
$\phi_{220}$ $3.2^{+2.5}_{-2.7}$ -- $1.1$
$f_{220}$ $163.2^{+8.6}_{-9.5}$ -- $164.1$
$\tau_{220}$ $0.0075^{+0.0025}_{-0.0018}$ -- $0.0079$
$A_{220}$ $2.2^{+1.6}_{-1.1}\times 10^{-21}$ -- $3.4\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 58185



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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
$M_f$ $90^{+35}_{-32}$ -- $121$
$\chi_f$ $0.65^{+0.29}_{-1.24}$ -- $0.97$
$\iota$ $1.5^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.79^{+0.44}_{-0.54}$ -- $-20.68$
$\phi_{220}$ $3.1^{+2.9}_{-2.8}$ -- $1.9$
$f_{220}$ $186^{+28}_{-33}$ -- $211$
$\tau_{220}$ $0.0054^{+0.0054}_{-0.0022}$ -- $0.0132$
$A_{220}$ $1.6^{+2.9}_{-1.2}\times 10^{-21}$ -- $2.1\times 10^{-21}$

Detectors: H1, V1

Number of posterior samples: 45951



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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
$M_f$ $97^{+21}_{-25}$ -- $106$
$\chi_f$ $0.80^{+0.13}_{-0.49}$ -- $0.87$
$\iota$ $0.87^{+0.41}_{-0.59}$ -- $1.20$
$\log_{10}A_{220}$ $-20.74^{+0.30}_{-0.26}$ -- $-20.51$
$\phi_{220}$ $3.2^{+2.8}_{-2.9}$ -- $0.4$
$f_{220}$ $193^{+11}_{-12}$ -- $195$
$\tau_{220}$ $0.0063^{+0.0035}_{-0.0023}$ -- $0.0076$
$A_{220}$ $1.83^{+1.84}_{-0.81}\times 10^{-21}$ -- $3.11\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 55045



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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
$M_f$ $124^{+36}_{-47}$ -- $148$
$\chi_f$ $0.76^{+0.17}_{-0.94}$ -- $0.89$
$\iota$ $2.12^{+0.69}_{-0.48}$ -- $1.71$
$\log_{10}A_{220}$ $-20.53^{+0.31}_{-0.33}$ -- $-20.32$
$\phi_{220}$ $3.2^{+2.8}_{-2.7}$ -- $2.4$
$f_{220}$ $146^{+11}_{-10}$ -- $145$
$\tau_{220}$ $0.0079^{+0.0057}_{-0.0036}$ -- $0.0110$
$A_{220}$ $2.9^{+3.1}_{-1.6}\times 10^{-21}$ -- $4.8\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 54089



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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
$M_f$ $78^{+27}_{-30}$ -- $106$
$\chi_f$ $0.77^{+0.18}_{-1.08}$ -- $0.95$
$\iota$ $2.09^{+0.72}_{-1.13}$ -- $1.77$
$\log_{10}A_{220}$ $-20.57^{+0.34}_{-0.37}$ -- $-20.46$
$\phi_{220}$ $3.1^{+2.7}_{-2.7}$ -- $4.6$
$f_{220}$ $233^{+26}_{-27}$ -- $229$
$\tau_{220}$ $0.0050^{+0.0046}_{-0.0023}$ -- $0.0100$
$A_{220}$ $2.7^{+3.2}_{-1.5}\times 10^{-21}$ -- $3.5\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 49650



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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
$M_f$ $61^{+24}_{-20}$ -- $89$
$\chi_f$ $0.61^{+0.34}_{-1.15}$ -- $0.97$
$\iota$ $1.30^{+1.26}_{-0.88}$ -- $1.47$
$\log_{10}A_{220}$ $-20.40^{+0.30}_{-0.35}$ -- $-20.31$
$\phi_{220}$ $3.1^{+2.9}_{-2.9}$ -- $5.4$
$f_{220}$ $269^{+27}_{-42}$ -- $292$
$\tau_{220}$ $0.0036^{+0.0042}_{-0.0013}$ -- $0.0100$
$A_{220}$ $4^{+4}_{-2.2}\times 10^{-21}$ -- $4.9\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 53212



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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
$M_f$ $89^{+19}_{-31}$ -- $99$
$\chi_f$ $0.866^{+0.094}_{-0.579}$ -- $0.928$
$\iota$ $1.92^{+0.82}_{-0.43}$ -- $1.70$
$\log_{10}A_{220}$ $-20.42^{+0.23}_{-0.40}$ -- $-20.29$
$\phi_{220}$ $3^{+2.3}_{-2.3}$ -- $1.3$
$f_{220}$ $231^{+12}_{-12}$ -- $231$
$\tau_{220}$ $0.0063^{+0.0044}_{-0.0030}$ -- $0.0082$
$A_{220}$ $3.8^{+2.7}_{-2.3}\times 10^{-21}$ -- $5.1\times 10^{-21}$

Detectors: H1, L1, V1

Number of posterior samples: 60694



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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
$M_f$ $82^{+34}_{-21}$ -- $92$
$\chi_f$ $0.28^{+0.55}_{-1.03}$ -- $0.58$
$\iota$ $1.6^{+1.1}_{-1.1}$ -- $1.6$
$\log_{10}A_{220}$ $-20.70^{+0.40}_{-0.31}$ -- $-20.56$
$\phi_{220}$ $3.2^{+2.6}_{-2.7}$ -- $1.5$
$f_{220}$ $167^{+16}_{-22}$ -- $171$
$\tau_{220}$ $0.0046^{+0.0031}_{-0.0012}$ -- $0.0054$
$A_{220}$ $2^{+3}_{-1}\times 10^{-21}$ -- $2.8\times 10^{-21}$

Detectors: H1, L1

Number of posterior samples: 45647



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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: