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Table 1.

Compilation of the MCMC algorithm’s results for all synthetic encounters.

Encounter Correct mass CDF ML mass 1σ boundaries 3σ boundaries
[10−11M] [10−11M] [10−11M] [10−11M]
[7,88;17186,46529,52443,7629,11701,142429] 0.649 0.54 0.647 [0.608, 0.685] [0.531, 0.759]
[10;3946,6006,11215,24433] 4.34 0.94 4.23 [4.12, 4.33] [3.93, 4.53]
[15;765,3591,14401,24066] 1.58 0.85 1.44 [1.29, 1.59] [0.995, 1.88]
[16;6442,13206,19462,20837] 1.37 0.40 1.46 [1.10, 1.80] [0.411, 2.50]
[19;3486,27799,113990,114525] 0.433 0.23 0.491 [0.405, 0.580] [0.233, 0.755]
[52;124,8269,19790,22336] 1.20 0.41 1.29 [0.488, 2.11] [0.00104, 4.58]
[7,88;17186,46529,52443,7629,11701,142429] 0.769 0.89 0.678 [0.594, 0.758] [0.424, 0.918]
[704;1467,7461,10034,48500] 1.65 0.02 3.47 [2.52, 4.43] [0.593, 6.30]

Notes. The correct masses are those the synthetic data sets were generated with, thus we know them to be exact. In the case with two perturbers (7 and 88) the perturber masses are on separate rows with each row corresponding to the perturber emphasized with bold text. The third column is the value of the cumulative distribution function of the mass corresponding to the correct mass.

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