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Table 6.

Evidence comparison for the 29 sources in the soft excess sample.

(1) (2) (3) (4)
eROID ln(Znth) – ln(ZBEST) ln(Zrel) – ln(ZBEST) Best model
00001 0.0 −0.69 NTHCOMP
00004 0.0 −3.28 NTHCOMP
00007 0.0 −1.26 NTHCOMP
00011 0.0 −2.83 NTHCOMP
00029 0.0 −0.60 NTHCOMP
00034 0.0 −2.77 NTHCOMP
00035 −0.25 0.0 RELXILL
00038 0.0 −0.85 NTHCOMP
00039 0.0 −2.80 NTHCOMP
00045 0.0 −2.30 NTHCOMP
00054 0.0 −1.88 NTHCOMP
00057 −0.16 0.0 RELXILL
00076 0.0 −0.32 NTHCOMP
00121 0.0 −0.92 NTHCOMP
00122 −0.15 0.0 RELXILL
00153 0.0 −0.98 NTHCOMP
00176 −0.05 0.0 RELXILL
00200 0.0 −0.75 NTHCOMP
00204 −0.39 0.0 RELXILL
00216 0.0 −2.01 NTHCOMP
00237 0.0 −0.74 NTHCOMP
00288 0.0 −1.15 NTHCOMP
00340 0.0 −1.18 NTHCOMP
00358 0.0 −1.36 NTHCOMP
00426 0.0 −1.64 NTHCOMP
00760 −0.26 0.0 RELXILL
00784 0.0 −0.27 NTHCOMP
01136 0.0 −0.44 NTHCOMP
01736 0.0 −1.16 NTHCOMP

ALL 0.0 −30.93 NTHCOMP

Notes. The source ID is listed in column (1). Columns (2) and (3) show the Bayesian evidence, where the values are all normalised by subtracting the highest fit value. A negative number in the column therefore indicates the worse fitting model, while a value of zero shows the preferred model. In the final row, the same exercise is performed for the full sample. Column (4) lists the name of the best fitting model.

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