W1. Injection 0, M03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $390^{+29}_{-39}$ -- $392$
$\chi_f$ $0.959^{+0.020}_{-0.048}$ -- $0.965$
$\iota$ $2.15^{+0.67}_{-0.45}$ -- $1.75$
$\rho$ $8.73^{+0.17}_{-0.41}$ -- $9.02$
$\rho_{220}$ $8.73^{+0.17}_{-0.41}$ -- $9.02$

$\log Z$: -2524964.1260085604

$\Delta \log Z$: 0.07584470832768393

Number of posterior samples: 72625



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W2. Injection 0, 00ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $366^{+36}_{-54}$ -- $377$
$\chi_f$ $0.932^{+0.036}_{-0.113}$ -- $0.946$
$\iota$ $2.20^{+0.62}_{-0.45}$ -- $1.83$
$\rho$ $8.62^{+0.17}_{-0.43}$ -- $8.87$
$\rho_{220}$ $8.62^{+0.17}_{-0.43}$ -- $8.87$

$\log Z$: -2524960.9741816204

$\Delta \log Z$: 0.0836201684834796

Number of posterior samples: 69185



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W3. Injection 1, 03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $365^{+30}_{-35}$ -- $375$
$\chi_f$ $0.928^{+0.034}_{-0.066}$ -- $0.943$
$\iota$ $1.59^{+0.75}_{-0.72}$ -- $1.58$
$\rho$ $11.03^{+0.22}_{-0.38}$ -- $11.34$
$\rho_{220}$ $11.03^{+0.22}_{-0.38}$ -- $11.34$

$\log Z$: -421326.4899420774

$\Delta \log Z$: 0.08321761910131314

Number of posterior samples: 77677



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W4. Injection 1, 06ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $323^{+37}_{-42}$ -- $325$
$\chi_f$ $0.855^{+0.069}_{-0.134}$ -- $0.867$
$\iota$ $1.59^{+0.67}_{-0.30}$ -- $1.58$
$\rho$ $11.10^{+0.21}_{-0.41}$ -- $11.39$
$\rho_{220}$ $11.10^{+0.21}_{-0.41}$ -- $11.39$

$\log Z$: -421321.0115526821

$\Delta \log Z$: 0.08321441271199909

Number of posterior samples: 77046



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W5. Injection 1, 09ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $323^{+38}_{-45}$ -- $331$
$\chi_f$ $0.860^{+0.067}_{-0.139}$ -- $0.877$
$\iota$ $1.73^{+0.91}_{-0.45}$ -- $1.64$
$\rho$ $10.59^{+0.23}_{-0.36}$ -- $10.92$
$\rho_{220}$ $10.59^{+0.23}_{-0.36}$ -- $10.92$

$\log Z$: -421323.3799932379

$\Delta \log Z$: 0.07908860085272408

Number of posterior samples: 72298



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W6. Injection 1, 12ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $316^{+43}_{-52}$ -- $331$
$\chi_f$ $0.837^{+0.089}_{-0.212}$ -- $0.870$
$\iota$ $1.64^{+0.95}_{-0.93}$ -- $1.60$
$\rho$ $8.99^{+0.27}_{-0.40}$ -- $9.37$
$\rho_{220}$ $8.99^{+0.27}_{-0.40}$ -- $9.37$

$\log Z$: -421320.40411499556

$\Delta \log Z$: 0.07605084655896266

Number of posterior samples: 68242



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W7. Injection 1, 15ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $276^{+52}_{-58}$ -- $285$
$\chi_f$ $0.73^{+0.15}_{-0.37}$ -- $0.78$
$\iota$ $2.01^{+0.76}_{-0.49}$ -- $1.71$
$\rho$ $8.66^{+0.22}_{-0.42}$ -- $8.99$
$\rho_{220}$ $8.66^{+0.22}_{-0.42}$ -- $8.99$

$\log Z$: -421321.10887300066

$\Delta \log Z$: 0.07409592017117916

Number of posterior samples: 65517



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W8. Injection 1, 18ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $270^{+57}_{-61}$ -- $276$
$\chi_f$ $0.71^{+0.17}_{-0.45}$ -- $0.74$
$\iota$ $1.97^{+0.79}_{-0.46}$ -- $1.70$
$\rho$ $8.08^{+0.26}_{-0.49}$ -- $8.48$
$\rho_{220}$ $8.08^{+0.26}_{-0.49}$ -- $8.48$

$\log Z$: -421321.03075861617

$\Delta \log Z$: 0.07160974621617605

Number of posterior samples: 63478



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W9. Injection 2, M03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $380^{+23}_{-36}$ -- $390$
$\chi_f$ $0.974^{+0.014}_{-0.035}$ -- $0.982$
$\iota$ $2.12^{+0.69}_{-0.79}$ -- $1.77$
$\rho$ $7.33^{+0.21}_{-0.53}$ -- $7.61$
$\rho_{220}$ $7.33^{+0.21}_{-0.53}$ -- $7.61$

$\log Z$: -265385.5820891639

$\Delta \log Z$: 0.0798126027738622

Number of posterior samples: 70720



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W10. Injection 2, 00ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $360^{+30}_{-45}$ -- $374$
$\chi_f$ $0.963^{+0.020}_{-0.055}$ -- $0.974$
$\iota$ $2.20^{+0.61}_{-0.50}$ -- $1.89$
$\rho$ $7.81^{+0.19}_{-0.51}$ -- $8.08$
$\rho_{220}$ $7.81^{+0.19}_{-0.51}$ -- $8.08$

$\log Z$: -265383.80690366216

$\Delta \log Z$: 0.07953054510792651

Number of posterior samples: 70771



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W11. Injection 2, 03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $360^{+30}_{-47}$ -- $372$
$\chi_f$ $0.960^{+0.022}_{-0.062}$ -- $0.972$
$\iota$ $2.18^{+0.64}_{-0.46}$ -- $1.80$
$\rho$ $7.58^{+0.20}_{-0.52}$ -- $7.89$
$\rho_{220}$ $7.58^{+0.20}_{-0.52}$ -- $7.89$

$\log Z$: -265384.2564262124

$\Delta \log Z$: 0.0784057123413871

Number of posterior samples: 69836



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W12. Injection 2, 06ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $347^{+37}_{-63}$ -- $366$
$\chi_f$ $0.948^{+0.031}_{-0.112}$ -- $0.968$
$\iota$ $2.18^{+0.63}_{-0.44}$ -- $1.81$
$\rho$ $6.99^{+0.23}_{-0.61}$ -- $7.35$
$\rho_{220}$ $6.99^{+0.23}_{-0.61}$ -- $7.35$

$\log Z$: -265384.8809584855

$\Delta \log Z$: 0.07768539009865782

Number of posterior samples: 69604



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W13. Injection 0, 03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $355^{+39}_{-54}$ -- $372$
$\chi_f$ $0.926^{+0.039}_{-0.110}$ -- $0.948$
$\iota$ $1.96^{+0.79}_{-1.10}$ -- $1.68$
$\rho$ $8.45^{+0.20}_{-0.44}$ -- $8.76$
$\rho_{220}$ $8.45^{+0.20}_{-0.44}$ -- $8.76$

$\log Z$: -2524961.3546138736

$\Delta \log Z$: 0.07111211758081773

Number of posterior samples: 68151



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W14. Injection 2, 09ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $354^{+37}_{-62}$ -- $374$
$\chi_f$ $0.952^{+0.029}_{-0.101}$ -- $0.974$
$\iota$ $2.16^{+0.66}_{-0.50}$ -- $1.78$
$\rho$ $6.51^{+0.26}_{-0.69}$ -- $6.92$
$\rho_{220}$ $6.51^{+0.26}_{-0.69}$ -- $6.92$

$\log Z$: -265391.6615132958

$\Delta \log Z$: 0.07581219909068561

Number of posterior samples: 67916



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W15. Injection 2, 12ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $349^{+40}_{-70}$ -- $375$
$\chi_f$ $0.948^{+0.033}_{-0.131}$ -- $0.976$
$\iota$ $2.16^{+0.65}_{-0.50}$ -- $1.76$
$\rho$ $5.89^{+0.28}_{-0.79}$ -- $6.35$
$\rho_{220}$ $5.89^{+0.28}_{-0.79}$ -- $6.35$

$\log Z$: -265398.43059732224

$\Delta \log Z$: 0.07466884325620371

Number of posterior samples: 66739



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W16. Injection 2, 15ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $354^{+46}_{-79}$ -- $369$
$\chi_f$ $0.946^{+0.035}_{-0.165}$ -- $0.970$
$\iota$ $2.11^{+0.68}_{-0.89}$ -- $1.76$
$\rho$ $5.42^{+0.32}_{-1.00}$ -- $5.95$
$\rho_{220}$ $5.42^{+0.32}_{-1.00}$ -- $5.95$

$\log Z$: -265397.3008705569

$\Delta \log Z$: 0.07223374006578964

Number of posterior samples: 64869



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W17. Injection 2, 18ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $346^{+53}_{-93}$ -- $377$
$\chi_f$ $0.925^{+0.051}_{-0.348}$ -- $0.960$
$\iota$ $2.10^{+0.70}_{-0.93}$ -- $1.89$
$\rho$ $5.15^{+0.34}_{-1.17}$ -- $5.59$
$\rho_{220}$ $5.15^{+0.34}_{-1.17}$ -- $5.59$

$\log Z$: -265400.3847082964

$\Delta \log Z$: 0.0699307722281172

Number of posterior samples: 59928



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W18. Injection 3, M03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $385^{+20}_{-22}$ -- $389$
$\chi_f$ $0.939^{+0.019}_{-0.029}$ -- $0.944$
$\iota$ $2.28^{+0.59}_{-0.41}$ -- $1.99$
$\rho$ $16.749^{+0.083}_{-0.189}$ -- $16.867$
$\rho_{220}$ $16.749^{+0.083}_{-0.189}$ -- $16.867$

$\log Z$: -265173.4053610327

$\Delta \log Z$: 0.08508600076660729

Number of posterior samples: 77676



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W19. Injection 3, 00ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $346^{+24}_{-27}$ -- $350$
$\chi_f$ $0.884^{+0.039}_{-0.063}$ -- $0.892$
$\iota$ $2.30^{+0.57}_{-0.41}$ -- $2.19$
$\rho$ $16.686^{+0.078}_{-0.186}$ -- $16.787$
$\rho_{220}$ $16.686^{+0.078}_{-0.186}$ -- $16.787$

$\log Z$: -265163.8216446003

$\Delta \log Z$: 0.08335358882182332

Number of posterior samples: 74545



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W20. Injection 3, 03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $329^{+27}_{-30}$ -- $339$
$\chi_f$ $0.866^{+0.047}_{-0.074}$ -- $0.883$
$\iota$ $2.29^{+0.58}_{-0.41}$ -- $2.18$
$\rho$ $16.453^{+0.082}_{-0.193}$ -- $16.560$
$\rho_{220}$ $16.453^{+0.082}_{-0.193}$ -- $16.560$

$\log Z$: -265162.2410323736

$\Delta \log Z$: 0.08215993209450344

Number of posterior samples: 73038



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W21. Injection 3, 06ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $319^{+29}_{-33}$ -- $329$
$\chi_f$ $0.837^{+0.060}_{-0.106}$ -- $0.862$
$\iota$ $2.26^{+0.58}_{-0.42}$ -- $1.92$
$\rho$ $15.245^{+0.091}_{-0.208}$ -- $15.386$
$\rho_{220}$ $15.245^{+0.091}_{-0.208}$ -- $15.386$

$\log Z$: -265163.57571116474

$\Delta \log Z$: 0.08063617445700187

Number of posterior samples: 72173



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W22. Injection 3, 09ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $302^{+37}_{-43}$ -- $316$
$\chi_f$ $0.793^{+0.089}_{-0.183}$ -- $0.834$
$\iota$ $2.12^{+0.68}_{-0.45}$ -- $1.75$
$\rho$ $12.66^{+0.13}_{-0.26}$ -- $12.88$
$\rho_{220}$ $12.66^{+0.13}_{-0.26}$ -- $12.88$

$\log Z$: -265159.36838940904

$\Delta \log Z$: 0.08008326889791041

Number of posterior samples: 72283



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W23. Injection 3, 12ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $281^{+44}_{-50}$ -- $287$
$\chi_f$ $0.76^{+0.11}_{-0.24}$ -- $0.78$
$\iota$ $2.13^{+0.69}_{-0.43}$ -- $1.77$
$\rho$ $12.30^{+0.14}_{-0.27}$ -- $12.53$
$\rho_{220}$ $12.30^{+0.14}_{-0.27}$ -- $12.53$

$\log Z$: -265153.8679028346

$\Delta \log Z$: 0.0776124305479716

Number of posterior samples: 69302



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W24. Injection 0, 06ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $359^{+38}_{-57}$ -- $375$
$\chi_f$ $0.936^{+0.035}_{-0.110}$ -- $0.956$
$\iota$ $1.93^{+0.81}_{-1.11}$ -- $1.67$
$\rho$ $7.64^{+0.22}_{-0.51}$ -- $7.99$
$\rho_{220}$ $7.64^{+0.22}_{-0.51}$ -- $7.99$

$\log Z$: -2524969.679885969

$\Delta \log Z$: 0.076506638195714

Number of posterior samples: 67404



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W25. Injection 3, 15ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $261^{+49}_{-56}$ -- $271$
$\chi_f$ $0.64^{+0.19}_{-0.49}$ -- $0.70$
$\iota$ $2.00^{+0.77}_{-0.40}$ -- $1.72$
$\rho$ $10.98^{+0.19}_{-0.33}$ -- $11.27$
$\rho_{220}$ $10.98^{+0.19}_{-0.33}$ -- $11.27$

$\log Z$: -265160.7256816598

$\Delta \log Z$: 0.07606364610208867

Number of posterior samples: 68137



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W26. Injection 3, 18ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $267^{+66}_{-72}$ -- $292$
$\chi_f$ $0.67^{+0.20}_{-0.61}$ -- $0.78$
$\iota$ $2.05^{+0.73}_{-0.55}$ -- $1.69$
$\rho$ $8.35^{+0.22}_{-0.45}$ -- $8.71$
$\rho_{220}$ $8.35^{+0.22}_{-0.45}$ -- $8.71$

$\log Z$: -265167.00488965574

$\Delta \log Z$: 0.07323992479498312

Number of posterior samples: 64968



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W27. Injection 4, M03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $347^{+39}_{-48}$ -- $360$
$\chi_f$ $0.854^{+0.074}_{-0.167}$ -- $0.886$
$\iota$ $0.92^{+0.45}_{-0.62}$ -- $1.08$
$\rho$ $9.44^{+0.15}_{-0.35}$ -- $9.63$
$\rho_{220}$ $9.44^{+0.15}_{-0.35}$ -- $9.63$

$\log Z$: -500504.72866179363

$\Delta \log Z$: 0.07429613821884129

Number of posterior samples: 63376



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W28. Injection 4, 00ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $304^{+47}_{-53}$ -- $309$
$\chi_f$ $0.76^{+0.12}_{-0.28}$ -- $0.79$
$\iota$ $0.89^{+0.43}_{-0.60}$ -- $1.23$
$\rho$ $9.54^{+0.15}_{-0.36}$ -- $9.75$
$\rho_{220}$ $9.54^{+0.15}_{-0.36}$ -- $9.75$

$\log Z$: -500502.8022022207

$\Delta \log Z$: 0.07419616213020795

Number of posterior samples: 63776



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W29. Injection 4, 03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $307^{+45}_{-55}$ -- $309$
$\chi_f$ $0.80^{+0.10}_{-0.26}$ -- $0.83$
$\iota$ $1.02^{+0.46}_{-0.69}$ -- $1.38$
$\rho$ $8.87^{+0.19}_{-0.43}$ -- $9.20$
$\rho_{220}$ $8.87^{+0.19}_{-0.43}$ -- $9.20$

$\log Z$: -500497.27927657735

$\Delta \log Z$: 0.07329475476837849

Number of posterior samples: 64672



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W30. Injection 4, 06ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $267^{+59}_{-62}$ -- $287$
$\chi_f$ $0.54^{+0.28}_{-0.78}$ -- $0.68$
$\iota$ $0.94^{+0.56}_{-0.63}$ -- $0.97$
$\rho$ $8.01^{+0.17}_{-0.43}$ -- $8.23$
$\rho_{220}$ $8.01^{+0.17}_{-0.43}$ -- $8.23$

$\log Z$: -500500.7538443519

$\Delta \log Z$: 0.06761126926795152

Number of posterior samples: 55961



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W31. Injection 4, 09ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $217^{+67}_{-50}$ -- $234$
$\chi_f$ $0.24^{+0.48}_{-0.91}$ -- $0.43$
$\iota$ $1.07^{+1.18}_{-0.71}$ -- $1.35$
$\rho$ $7.88^{+0.18}_{-0.41}$ -- $8.13$
$\rho_{220}$ $7.88^{+0.18}_{-0.41}$ -- $8.13$

$\log Z$: -500495.76138522197

$\Delta \log Z$: 0.06694547370806078

Number of posterior samples: 55435



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W32. Injection 4, 12ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $220^{+71}_{-63}$ -- $238$
$\chi_f$ $0.35^{+0.41}_{-0.95}$ -- $0.55$
$\iota$ $2.14^{+0.66}_{-1.02}$ -- $1.94$
$\rho$ $7.18^{+0.22}_{-0.47}$ -- $7.48$
$\rho_{220}$ $7.18^{+0.22}_{-0.47}$ -- $7.48$

$\log Z$: -500493.4232970138

$\Delta \log Z$: 0.06414627380411358

Number of posterior samples: 52754



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W33. Injection 4, 15ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $193^{+67}_{-39}$ -- $193$
$\chi_f$ $-0.15^{+0.75}_{-0.72}$ -- $-0.13$
$\iota$ $2.10^{+0.69}_{-0.91}$ -- $1.71$
$\rho$ $6.10^{+0.22}_{-0.60}$ -- $6.46$
$\rho_{220}$ $6.10^{+0.22}_{-0.60}$ -- $6.46$

$\log Z$: -500491.03474338504

$\Delta \log Z$: 0.06256970544565281

Number of posterior samples: 51988



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W34. Injection 4, 18ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $192^{+99}_{-47}$ -- $158$
$\chi_f$ $-0.34^{+0.85}_{-0.58}$ -- $-0.95$
$\iota$ $2.08^{+0.71}_{-1.16}$ -- $1.85$
$\rho$ $5.23^{+0.33}_{-0.75}$ -- $5.68$
$\rho_{220}$ $5.23^{+0.33}_{-0.75}$ -- $5.68$

$\log Z$: -500492.06832685304

$\Delta \log Z$: 0.05973041458603311

Number of posterior samples: 49352



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W35. Injection 0, 09ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $292^{+62}_{-90}$ -- $330$
$\chi_f$ $0.80^{+0.13}_{-0.63}$ -- $0.90$
$\iota$ $2.03^{+0.74}_{-1.14}$ -- $1.69$
$\rho$ $7.78^{+0.23}_{-0.50}$ -- $8.09$
$\rho_{220}$ $7.78^{+0.23}_{-0.50}$ -- $8.09$

$\log Z$: -2524961.1508838804

$\Delta \log Z$: 0.07309573833527029

Number of posterior samples: 61646



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W36. Injection 5, M03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $320^{+59}_{-73}$ -- $347$
$\chi_f$ $0.76^{+0.15}_{-0.47}$ -- $0.85$
$\iota$ $2.04^{+0.74}_{-1.25}$ -- $1.78$
$\rho$ $7.37^{+0.23}_{-0.50}$ -- $7.69$
$\rho_{220}$ $7.37^{+0.23}_{-0.50}$ -- $7.69$

$\log Z$: -2086652.4026652684

$\Delta \log Z$: 0.06632408427492666

Number of posterior samples: 58101



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W37. Injection 5, 00ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $313^{+55}_{-68}$ -- $336$
$\chi_f$ $0.81^{+0.11}_{-0.33}$ -- $0.88$
$\iota$ $1.4^{+1.2}_{-1.0}$ -- $1.5$
$\rho$ $7.54^{+0.21}_{-0.50}$ -- $7.85$
$\rho_{220}$ $7.54^{+0.21}_{-0.50}$ -- $7.85$

$\log Z$: -2086657.6904248958

$\Delta \log Z$: 0.06933017004704846

Number of posterior samples: 59468



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W38. Injection 5, 03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $279^{+60}_{-73}$ -- $298$
$\chi_f$ $0.68^{+0.19}_{-0.72}$ -- $0.76$
$\iota$ $1.7^{+1.0}_{-1.2}$ -- $1.7$
$\rho$ $7.54^{+0.22}_{-0.46}$ -- $7.89$
$\rho_{220}$ $7.54^{+0.22}_{-0.46}$ -- $7.88$

$\log Z$: -2086654.960040756

$\Delta \log Z$: 0.07003659486144528

Number of posterior samples: 56882



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W39. Injection 5, 06ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $263^{+71}_{-76}$ -- $294$
$\chi_f$ $0.62^{+0.25}_{-0.91}$ -- $0.77$
$\iota$ $1.76^{+0.94}_{-1.21}$ -- $1.61$
$\rho$ $6.10^{+0.26}_{-0.59}$ -- $6.50$
$\rho_{220}$ $6.10^{+0.26}_{-0.59}$ -- $6.50$

$\log Z$: -2086653.7212505764

$\Delta \log Z$: 0.06531684244697733

Number of posterior samples: 54920



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W40. Injection 5, 09ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $214^{+72}_{-62}$ -- $242$
$\chi_f$ $0.45^{+0.36}_{-0.98}$ -- $0.66$
$\iota$ $1.26^{+1.30}_{-0.86}$ -- $1.38$
$\rho$ $6.48^{+0.25}_{-0.50}$ -- $6.83$
$\rho_{220}$ $6.48^{+0.25}_{-0.50}$ -- $6.83$

$\log Z$: -2086652.360125357

$\Delta \log Z$: 0.06705357800878774

Number of posterior samples: 53245



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W41. Injection 5, 12ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $205^{+74}_{-56}$ -- $238$
$\chi_f$ $0.29^{+0.51}_{-1.02}$ -- $0.55$
$\iota$ $1.19^{+1.31}_{-0.80}$ -- $1.42$
$\rho$ $5.42^{+0.27}_{-0.62}$ -- $5.79$
$\rho_{220}$ $5.42^{+0.27}_{-0.62}$ -- $5.79$

$\log Z$: -2086660.1904842916

$\Delta \log Z$: 0.0589186948656585

Number of posterior samples: 48685



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W42. Injection 5, 15ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $217^{+179}_{-66}$ -- $209$
$\chi_f$ $0.09^{+0.70}_{-0.92}$ -- $0.25$
$\iota$ $1.19^{+1.32}_{-0.81}$ -- $1.18$
$\rho$ $3.96^{+0.47}_{-1.91}$ -- $4.54$
$\rho_{220}$ $3.96^{+0.47}_{-1.91}$ -- $4.54$

$\log Z$: -2086668.375644439

$\Delta \log Z$: 0.05411939686336868

Number of posterior samples: 44290



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W43. Injection 5, 18ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $217^{+169}_{-79}$ -- $194$
$\chi_f$ $-0.02^{+0.79}_{-0.84}$ -- $0.31$
$\iota$ $1.24^{+1.30}_{-0.83}$ -- $1.22$
$\rho$ $3.70^{+0.39}_{-2.86}$ -- $4.20$
$\rho_{220}$ $3.70^{+0.39}_{-2.86}$ -- $4.20$

$\log Z$: -2086668.607181409

$\Delta \log Z$: 0.05386585183461313

Number of posterior samples: 39941



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W44. Injection 6, M03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $389^{+34}_{-38}$ -- $390$
$\chi_f$ $0.914^{+0.035}_{-0.063}$ -- $0.914$
$\iota$ $2.21^{+0.63}_{-0.46}$ -- $1.86$
$\rho$ $11.90^{+0.12}_{-0.27}$ -- $12.07$
$\rho_{220}$ $11.90^{+0.12}_{-0.27}$ -- $12.07$

$\log Z$: -500224.6649959403

$\Delta \log Z$: 0.0805455211533214

Number of posterior samples: 71757



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W45. Injection 6, 00ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $378^{+36}_{-40}$ -- $382$
$\chi_f$ $0.907^{+0.038}_{-0.069}$ -- $0.912$
$\iota$ $2.21^{+0.63}_{-0.43}$ -- $1.92$
$\rho$ $11.75^{+0.12}_{-0.28}$ -- $11.93$
$\rho_{220}$ $11.75^{+0.12}_{-0.28}$ -- $11.93$

$\log Z$: -500222.0198664572

$\Delta \log Z$: 0.07863144778020185

Number of posterior samples: 69386



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W46. Injection 0, 12ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $280^{+70}_{-98}$ -- $325$
$\chi_f$ $0.76^{+0.16}_{-0.85}$ -- $0.89$
$\iota$ $2.18^{+0.64}_{-0.64}$ -- $2.17$
$\rho$ $7.42^{+0.24}_{-0.55}$ -- $7.72$
$\rho_{220}$ $7.42^{+0.24}_{-0.55}$ -- $7.72$

$\log Z$: -2524960.3288148944

$\Delta \log Z$: 0.07267562343198289

Number of posterior samples: 59280



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W47. Injection 6, 03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $363^{+39}_{-45}$ -- $367$
$\chi_f$ $0.875^{+0.055}_{-0.114}$ -- $0.884$
$\iota$ $2.24^{+0.60}_{-0.43}$ -- $1.96$
$\rho$ $10.77^{+0.13}_{-0.31}$ -- $10.93$
$\rho_{220}$ $10.77^{+0.13}_{-0.31}$ -- $10.93$

$\log Z$: -500219.2053023235

$\Delta \log Z$: 0.07734608661080082

Number of posterior samples: 66934



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W48. Injection 6, 06ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $339^{+45}_{-52}$ -- $345$
$\chi_f$ $0.846^{+0.072}_{-0.163}$ -- $0.858$
$\iota$ $2.23^{+0.61}_{-0.45}$ -- $1.85$
$\rho$ $9.98^{+0.14}_{-0.33}$ -- $10.18$
$\rho_{220}$ $9.98^{+0.14}_{-0.33}$ -- $10.18$

$\log Z$: -500219.51533501345

$\Delta \log Z$: 0.07610962329558664

Number of posterior samples: 65896



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W49. Injection 6, 09ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $338^{+48}_{-55}$ -- $349$
$\chi_f$ $0.842^{+0.075}_{-0.168}$ -- $0.861$
$\iota$ $2.16^{+0.66}_{-0.49}$ -- $1.81$
$\rho$ $9.72^{+0.15}_{-0.36}$ -- $9.96$
$\rho_{220}$ $9.72^{+0.15}_{-0.36}$ -- $9.96$

$\log Z$: -500223.065742737

$\Delta \log Z$: 0.07387813606306895

Number of posterior samples: 64429



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W50. Injection 6, 12ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $313^{+56}_{-67}$ -- $326$
$\chi_f$ $0.76^{+0.13}_{-0.38}$ -- $0.79$
$\iota$ $2.21^{+0.62}_{-0.51}$ -- $2.10$
$\rho$ $8.71^{+0.17}_{-0.41}$ -- $8.92$
$\rho_{220}$ $8.71^{+0.17}_{-0.41}$ -- $8.92$

$\log Z$: -500226.2934607588

$\Delta \log Z$: 0.07187116739866826

Number of posterior samples: 60511



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W51. Injection 6, 15ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $284^{+71}_{-79}$ -- $308$
$\chi_f$ $0.66^{+0.20}_{-0.67}$ -- $0.76$
$\iota$ $2.18^{+0.64}_{-0.70}$ -- $2.21$
$\rho$ $7.75^{+0.19}_{-0.47}$ -- $7.99$
$\rho_{220}$ $7.75^{+0.19}_{-0.47}$ -- $7.99$

$\log Z$: -500223.8343815587

$\Delta \log Z$: 0.06965160550035054

Number of posterior samples: 57762



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W52. Injection 6, 18ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $282^{+75}_{-83}$ -- $310$
$\chi_f$ $0.65^{+0.22}_{-0.76}$ -- $0.76$
$\iota$ $2.14^{+0.68}_{-1.06}$ -- $2.20$
$\rho$ $7.30^{+0.22}_{-0.50}$ -- $7.57$
$\rho_{220}$ $7.30^{+0.22}_{-0.50}$ -- $7.57$

$\log Z$: -500224.97843940085

$\Delta \log Z$: 0.0660224616967762

Number of posterior samples: 54377



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W53. Injection 7, M03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $377^{+25}_{-28}$ -- $381$
$\chi_f$ $0.918^{+0.032}_{-0.054}$ -- $0.930$
$\iota$ $2.15^{+0.67}_{-0.39}$ -- $1.80$
$\rho$ $13.02^{+0.13}_{-0.25}$ -- $13.24$
$\rho_{220}$ $13.02^{+0.13}_{-0.25}$ -- $13.24$

$\log Z$: -1461295.7035302368

$\Delta \log Z$: 0.08179481730418539

Number of posterior samples: 75392



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W54. Injection 7, 00ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $341^{+29}_{-31}$ -- $349$
$\chi_f$ $0.865^{+0.052}_{-0.084}$ -- $0.880$
$\iota$ $1.80^{+0.78}_{-0.11}$ -- $1.72$
$\rho$ $13.46^{+0.20}_{-0.33}$ -- $13.73$
$\rho_{220}$ $13.46^{+0.20}_{-0.33}$ -- $13.73$

$\log Z$: -1461290.0070428676

$\Delta \log Z$: 0.08631543814955679

Number of posterior samples: 84074



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W55. Injection 7, 03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $329^{+30}_{-32}$ -- $334$
$\chi_f$ $0.865^{+0.052}_{-0.085}$ -- $0.873$
$\iota$ $1.77^{+0.71}_{-0.10}$ -- $1.71$
$\rho$ $13.49^{+0.18}_{-0.35}$ -- $13.74$
$\rho_{220}$ $13.49^{+0.18}_{-0.35}$ -- $13.74$

$\log Z$: -1461289.9264931118

$\Delta \log Z$: 0.08836655090514582

Number of posterior samples: 83282



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W56. Injection 7, 06ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $308^{+33}_{-37}$ -- $317$
$\chi_f$ $0.798^{+0.087}_{-0.160}$ -- $0.820$
$\iota$ $2.09^{+0.71}_{-0.33}$ -- $1.78$
$\rho$ $12.67^{+0.18}_{-0.26}$ -- $12.94$
$\rho_{220}$ $12.67^{+0.18}_{-0.26}$ -- $12.94$

$\log Z$: -1461278.897256785

$\Delta \log Z$: 0.08049259116843296

Number of posterior samples: 73871



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W57. Injection 0, 15ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $288^{+75}_{-108}$ -- $338$
$\chi_f$ $0.80^{+0.15}_{-1.00}$ -- $0.92$
$\iota$ $2.04^{+0.73}_{-0.99}$ -- $1.63$
$\rho$ $6.10^{+0.33}_{-0.70}$ -- $6.63$
$\rho_{220}$ $6.10^{+0.33}_{-0.70}$ -- $6.63$

$\log Z$: -2524955.3463073503

$\Delta \log Z$: 0.06203810822634473

Number of posterior samples: 60810



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W58. Injection 7, 09ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $279^{+42}_{-47}$ -- $291$
$\chi_f$ $0.70^{+0.14}_{-0.29}$ -- $0.76$
$\iota$ $2.17^{+0.65}_{-0.41}$ -- $1.79$
$\rho$ $11.14^{+0.16}_{-0.30}$ -- $11.41$
$\rho_{220}$ $11.14^{+0.16}_{-0.30}$ -- $11.41$

$\log Z$: -1461273.2155285247

$\Delta \log Z$: 0.07831163579116163

Number of posterior samples: 69550



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W59. Injection 7, 12ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $274^{+44}_{-51}$ -- $289$
$\chi_f$ $0.69^{+0.15}_{-0.34}$ -- $0.77$
$\iota$ $2.07^{+0.73}_{-0.33}$ -- $1.76$
$\rho$ $10.63^{+0.22}_{-0.33}$ -- $10.97$
$\rho_{220}$ $10.63^{+0.22}_{-0.33}$ -- $10.97$

$\log Z$: -1461267.729322274

$\Delta \log Z$: 0.07576406834861543

Number of posterior samples: 69619



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W60. Injection 7, 15ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $219^{+55}_{-49}$ -- $240$
$\chi_f$ $0.27^{+0.42}_{-0.85}$ -- $0.46$
$\iota$ $2.20^{+0.63}_{-0.40}$ -- $1.81$
$\rho$ $9.46^{+0.19}_{-0.32}$ -- $9.77$
$\rho_{220}$ $9.46^{+0.19}_{-0.32}$ -- $9.77$

$\log Z$: -1461263.477834445

$\Delta \log Z$: 0.07446483020430397

Number of posterior samples: 63665



Link to File

A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W61. Injection 7, 18ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $260^{+97}_{-73}$ -- $414$
$\chi_f$ $0.48^{+0.32}_{-0.82}$ -- $0.84$
$\iota$ $2.18^{+0.64}_{-0.46}$ -- $1.68$
$\rho$ $7.20^{+0.21}_{-0.47}$ -- $7.68$
$\rho_{220}$ $7.20^{+0.21}_{-0.47}$ -- $7.68$

$\log Z$: -1461263.2914221038

$\Delta \log Z$: 0.06511383741139576

Number of posterior samples: 59431



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W62. Injection 8, M03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $382^{+36}_{-51}$ -- $397$
$\chi_f$ $0.949^{+0.027}_{-0.078}$ -- $0.964$
$\iota$ $2.02^{+0.76}_{-1.24}$ -- $1.79$
$\rho$ $8.62^{+0.19}_{-0.44}$ -- $8.89$
$\rho_{220}$ $8.62^{+0.19}_{-0.44}$ -- $8.89$

$\log Z$: -275790.6613926141

$\Delta \log Z$: 0.0781649464285053

Number of posterior samples: 69284



Link to File

A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W63. Injection 8, 00ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $386^{+36}_{-52}$ -- $399$
$\chi_f$ $0.959^{+0.022}_{-0.063}$ -- $0.967$
$\iota$ $1.92^{+0.82}_{-1.29}$ -- $1.69$
$\rho$ $7.73^{+0.22}_{-0.49}$ -- $8.03$
$\rho_{220}$ $7.73^{+0.22}_{-0.49}$ -- $8.03$

$\log Z$: -275787.5728332001

$\Delta \log Z$: 0.07680846437362893

Number of posterior samples: 67441



Link to File

A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W64. Injection 8, 03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $315^{+54}_{-72}$ -- $337$
$\chi_f$ $0.850^{+0.091}_{-0.309}$ -- $0.898$
$\iota$ $1.5^{+1.1}_{-1}$ -- $1.6$
$\rho$ $8.46^{+0.23}_{-0.44}$ -- $8.79$
$\rho_{220}$ $8.46^{+0.23}_{-0.44}$ -- $8.79$

$\log Z$: -275783.51936409686

$\Delta \log Z$: 0.07450257541876322

Number of posterior samples: 65597



Link to File

A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W65. Injection 8, 06ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $267^{+78}_{-84}$ -- $317$
$\chi_f$ $0.71^{+0.20}_{-0.68}$ -- $0.86$
$\iota$ $1.12^{+1.14}_{-0.75}$ -- $1.35$
$\rho$ $8.09^{+0.22}_{-0.45}$ -- $8.42$
$\rho_{220}$ $8.09^{+0.22}_{-0.45}$ -- $8.42$

$\log Z$: -275783.19684125384

$\Delta \log Z$: 0.07076641253269078

Number of posterior samples: 61005



Link to File

A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W66. Injection 8, 09ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $213^{+80}_{-55}$ -- $251$
$\chi_f$ $0.31^{+0.48}_{-0.99}$ -- $0.61$
$\iota$ $1.16^{+1.23}_{-0.78}$ -- $1.49$
$\rho$ $8.15^{+0.19}_{-0.38}$ -- $8.44$
$\rho_{220}$ $8.15^{+0.19}_{-0.38}$ -- $8.44$

$\log Z$: -275777.68141265865

$\Delta \log Z$: 0.06623278397717704

Number of posterior samples: 55450



Link to File

A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W67. Injection 8, 12ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $250^{+121}_{-87}$ -- $381$
$\chi_f$ $0.57^{+0.37}_{-1.19}$ -- $0.95$
$\iota$ $1.09^{+1.23}_{-0.72}$ -- $1.53$
$\rho$ $5.33^{+0.34}_{-0.72}$ -- $5.80$
$\rho_{220}$ $5.33^{+0.34}_{-0.72}$ -- $5.80$

$\log Z$: -275773.66335131635

$\Delta \log Z$: 0.06440869948890039

Number of posterior samples: 54166



Link to File

A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W68. Injection 0, 18ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $305^{+85}_{-126}$ -- $354$
$\chi_f$ $0.84^{+0.13}_{-1.15}$ -- $0.94$
$\iota$ $1.78^{+0.92}_{-1.19}$ -- $1.59$
$\rho$ $4.62^{+0.45}_{-1.66}$ -- $5.33$
$\rho_{220}$ $4.62^{+0.45}_{-1.66}$ -- $5.33$

$\log Z$: -2524958.2713762517

$\Delta \log Z$: 0.06902773000403571

Number of posterior samples: 57932



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W69. Injection 8, 15ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $217^{+142}_{-75}$ -- $399$
$\chi_f$ $0.35^{+0.57}_{-1.11}$ -- $0.97$
$\iota$ $1.09^{+1.25}_{-0.73}$ -- $1.68$
$\rho$ $4.95^{+0.39}_{-0.75}$ -- $5.52$
$\rho_{220}$ $4.95^{+0.39}_{-0.75}$ -- $5.52$

$\log Z$: -275771.70089181815

$\Delta \log Z$: 0.06097478370152561

Number of posterior samples: 51714



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W70. Injection 8, 18ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $198^{+216}_{-78}$ -- $434$
$\chi_f$ $0.21^{+0.72}_{-1.03}$ -- $0.98$
$\iota$ $1.23^{+1.28}_{-0.84}$ -- $2.22$
$\rho$ $3.44^{+0.62}_{-3.44}$ -- $4.52$
$\rho_{220}$ $3.44^{+0.62}_{-3.44}$ -- $4.52$

$\log Z$: -275769.0316277327

$\Delta \log Z$: 0.053537754208002795

Number of posterior samples: 49692



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W71. Injection 9, M03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $372^{+31}_{-43}$ -- $380$
$\chi_f$ $0.942^{+0.028}_{-0.070}$ -- $0.951$
$\iota$ $2.14^{+0.66}_{-0.52}$ -- $1.73$
$\rho$ $9.72^{+0.15}_{-0.37}$ -- $9.96$
$\rho_{220}$ $9.72^{+0.15}_{-0.37}$ -- $9.96$

$\log Z$: -319953.17789356573

$\Delta \log Z$: 0.0798299882691554

Number of posterior samples: 71770



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W72. Injection 9, 00ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $351^{+35}_{-49}$ -- $360$
$\chi_f$ $0.924^{+0.038}_{-0.098}$ -- $0.936$
$\iota$ $2.00^{+0.77}_{-0.78}$ -- $1.73$
$\rho$ $9.89^{+0.17}_{-0.37}$ -- $10.15$
$\rho_{220}$ $9.89^{+0.17}_{-0.37}$ -- $10.15$

$\log Z$: -319948.726389848

$\Delta \log Z$: 0.07940723383245223

Number of posterior samples: 71292



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W73. Injection 9, 03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $346^{+36}_{-55}$ -- $366$
$\chi_f$ $0.922^{+0.039}_{-0.114}$ -- $0.946$
$\iota$ $1.5^{+1.1}_{-1}$ -- $1.6$
$\rho$ $9.42^{+0.21}_{-0.39}$ -- $9.74$
$\rho_{220}$ $9.42^{+0.21}_{-0.39}$ -- $9.74$

$\log Z$: -319947.10482053907

$\Delta \log Z$: 0.07810211938084857

Number of posterior samples: 70089



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W74. Injection 9, 06ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $358^{+38}_{-61}$ -- $371$
$\chi_f$ $0.937^{+0.035}_{-0.117}$ -- $0.952$
$\iota$ $1.78^{+0.92}_{-1.16}$ -- $1.66$
$\rho$ $7.50^{+0.22}_{-0.51}$ -- $7.83$
$\rho_{220}$ $7.50^{+0.22}_{-0.51}$ -- $7.83$

$\log Z$: -319949.0044876567

$\Delta \log Z$: 0.0763739058505522

Number of posterior samples: 67282



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W75. Injection 9, 09ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $354^{+42}_{-69}$ -- $378$
$\chi_f$ $0.931^{+0.040}_{-0.144}$ -- $0.958$
$\iota$ $1.87^{+0.86}_{-1.30}$ -- $1.56$
$\rho$ $7.26^{+0.22}_{-0.55}$ -- $7.59$
$\rho_{220}$ $7.26^{+0.22}_{-0.55}$ -- $7.59$

$\log Z$: -319944.3799738409

$\Delta \log Z$: 0.07443558950755048

Number of posterior samples: 64640



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W76. Injection 9, 12ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $349^{+45}_{-77}$ -- $376$
$\chi_f$ $0.925^{+0.046}_{-0.190}$ -- $0.956$
$\iota$ $1.89^{+0.84}_{-1.28}$ -- $1.67$
$\rho$ $6.59^{+0.26}_{-0.63}$ -- $6.95$
$\rho_{220}$ $6.59^{+0.26}_{-0.63}$ -- $6.95$

$\log Z$: -319943.72096328466

$\Delta \log Z$: 0.07244293413631113

Number of posterior samples: 62861



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W77. Injection 9, 15ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $353^{+52}_{-87}$ -- $384$
$\chi_f$ $0.923^{+0.050}_{-0.236}$ -- $0.959$
$\iota$ $2.06^{+0.72}_{-1.23}$ -- $1.84$
$\rho$ $5.70^{+0.31}_{-0.81}$ -- $6.08$
$\rho_{220}$ $5.70^{+0.31}_{-0.81}$ -- $6.08$

$\log Z$: -319937.1510009622

$\Delta \log Z$: 0.07104233875636348

Number of posterior samples: 60396



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W78. Injection 9, 18ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $343^{+57}_{-104}$ -- $383$
$\chi_f$ $0.900^{+0.067}_{-0.433}$ -- $0.954$
$\iota$ $1.89^{+0.84}_{-1.27}$ -- $1.60$
$\rho$ $5.53^{+0.33}_{-0.91}$ -- $5.98$
$\rho_{220}$ $5.53^{+0.33}_{-0.91}$ -- $5.98$

$\log Z$: -319942.09124767483

$\Delta \log Z$: 0.06850953442661083

Number of posterior samples: 58755



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W79. Injection 1, M03ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $378^{+29}_{-32}$ -- $378$
$\chi_f$ $0.917^{+0.035}_{-0.057}$ -- $0.919$
$\iota$ $1.58^{+0.63}_{-0.36}$ -- $1.55$
$\rho$ $11.53^{+0.20}_{-0.39}$ -- $11.80$
$\rho_{220}$ $11.53^{+0.20}_{-0.39}$ -- $11.80$

$\log Z$: -421338.94226100313

$\Delta \log Z$: 0.08424806733883594

Number of posterior samples: 78821



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A2. Posteriors

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A3. Posteriors

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A4. Posteriors

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W80. Injection 1, 00ms

A1. Parameter Estimates

Parameter 90% Credible Interval Maximum Posterior Maximum Likelihood
$M_f$ $367^{+28}_{-31}$ -- $375$
$\chi_f$ $0.927^{+0.032}_{-0.055}$ -- $0.940$
$\iota$ $1.65^{+0.85}_{-0.32}$ -- $1.60$
$\rho$ $12.11^{+0.20}_{-0.35}$ -- $12.38$
$\rho_{220}$ $12.11^{+0.20}_{-0.35}$ -- $12.38$

$\log Z$: -421330.77574937046

$\Delta \log Z$: 0.08513299855686049

Number of posterior samples: 79940



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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: