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Table 2.

Best-fitting structural parameters for a three-component fit.

Object μe1 re1 n1 μe2 re2 n2 μ0 rh Rtr1 Rtr2 Rtr1 Rtr2 fh, T
[mag arcsec−2] [arcesc] [mag arcsec−2] [arcsec] [mag arcsec−2] [arcsec] [arcsec] [arcsec] [kpc] [kpc]
(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)
PGC007748 21.01 ± 0.23 2.79 ± 0.18 1.5 ± 0.9 23.69 ± 0.07 16.81 ± 0.59 1.67 ± 0.19 23.02 ± 0.04 23.82 ± 0.15 3.96 18.54 3.52 16.50 86% ± 2%
PGC015524 20.23 ± 0.04 5.22 ± 0.10 1.5 ± 0.5 23.19 ± 0.07 41.35 ± 10.4 2.26 ± 0.06 21.56 ± 0.08 36.31 ± 7.0 6.14 26.2 4.48 19.13 89% ± 3%
PGC049940 21.10 ± 0.15 5.00 ± 0.01 1.5 ± 0.4 23.63 ± 0.45 24.36 ± 2.50 1.81 ± 0.05 25.85 ± 0.31 88.37 ± 0.15 7.05 75.01 5.85 62.26 77% ± 5%

Notes. Columns 2–4 report effective magnitude, effective radius, and Sérsic index for the inner component of each fit. The Sérsic index for the first component was fixed to n ∼ 2 using the models as a prior (Cooper et al. 2013). We allowed small variations of ±0.5 around the mean value of n = 2. This would bracket the range of n in the simulations and allowed us to obtain a better fit. Columns 5–7 list the same parameters for the second component, and Cols. 8 and 9 list the central surface brightness and scale length for the outer exponential component. Cols. 10–13 report the transition radii between two-fit components in arcsec and in kpc, respectively, while Col. 14 gives the total accreted mass fraction derived from our three-component fit.

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