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Table 2.

Results.

Δm12 M(r) β(r) r−2 β(r200/4) β(r200)
model model [Mpc]
(1) (2) (3) (4) (5) (6)
MAMPOSSt: minimum BIC

≤0.5 Einasto C 0.8 ± 0.2 1.2 ± 0.1 1.2 ± 0.1
0.5–1.0 Einasto C 1.0 ± 0.3 1.3 ± 0.1 1.3 ± 0.1
1.0–1.5 Einasto C 0.7 ± 0.2 1.3 ± 0.1 1.3 ± 0.1
> 1.5 Burkert T 0.3 ± 0.1 1.4 ± 0.1 2.1 ± 0.4

MAMPOSSt: minimum BIC for NFW models

≤0.5 NFW C 0.7 ± 0.2 1.2 ± 0.1 1.2 ± 0.1
0.5–1.0 NFW C 0.9 ± 0.2 1.3 ± 0.1 1.3 ± 0.1
1.0–1.5 NFW C 0.6 ± 0.2 1.3 ± 0.1 1.3 ± 0.1
> 1.5 NFW T 0.5 ± 0.1 1.3 ± 0.1 1.7 ± 0.3

MAMPOSSt: -weighted average of all models

≤0.5 All All 0.6 ± 0.2 1.1 ± 0.1 1.1 ± 0.1
0.5–1.0 All All 0.7 ± 0.3 1.1 ± 0.1 1.2 ± 0.1
1.0–1.5 All All 0.6 ± 0.3 1.2 ± 0.1 1.2 ± 0.1
> 1.5 All All 0.4 ± 0.2 1.3 ± 0.3 1.5 ± 0.3

Jeans equation inversion

≤0.5 Einasto None 0.8 1.1 ± 0.1 1.3 ± 0.1
0.5–1.0 Einasto None 1.0 1.5 ± 0.1 1.4 ± 0.1
1.0–1.5 Einasto None 0.7 1.4 ± 0.2 1.6 ± 0.1
> 1.5 Burkert None 0.3 1.4 ± 0.2 1.9 ± 0.4

Notes. Column (1): Sample identification. Column (2): M(r) model. Column (3): β(r) model. Column (4): r−2 and 1σ uncertainties. Columns (5), (6): Values of β(r) calculated at two radii, r200/4 and r200, and their 1σ uncertainties. Results are presented for the combination of M(r) and β(r) models that return the minimum BIC value, the NFW M(r) models that return the minimum BIC values, and the weighted average of all considered models, where the weights are proportional to the MAMPOSSt likelihoods . The quoted uncertainties are marginalised errors obtained from a Markov chain Monte Carlo (MCMC) analysis in the first two sets of results, and from the variance among the different model results in the third set of results. The results for the Jeans inversion are obtained by fixing r−2, thus no error is reported for this quantity.

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