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Table 2:

Dual-Gaussian fitting results.
$\!\!\!$data set $\!\!\!$r* min $\!\!\!$ $\!\!\!$ r* median $\!\!\!$ $\!\!\!$ r*max $\!\!\!$ $\!\!\!$ $\sigma_{\rm {bMS}}$ $\!\!\!$ $\!\!\!$ rms( $\sigma_{\rm {bMS}}$) $\!\!\!$ $\!\!\!$ $\sigma_{\rm {rMS}}$ $\!\!\!$ $\!\!\!$ rms( $\sigma_{\rm {rMS}}$) $\!\!\!$ $\!\!\!$ $N_{{\rm bMS}}/N_{{\rm rMS}}$ $\sigma$( $N_{{\rm bMS}}/N_{{\rm rMS}}$)$\!\!\!$ $\!\!\!$ $({\rm rMS}_{\rm cen}-{\rm bMS}_{\rm cen})$ $\!\!\!$$\!\!\!$ $\!\!\!$$\!\!\!$ Color
  ( $\hbox {$^\prime $ }$) ( $\hbox {$^\prime $ }$) ( $\hbox {$^\prime $ }$) $\Delta$color $\Delta$color $\Delta$color $\Delta$color     $\Delta$color  
ACS/WFC 0.00 1.21 1.76 0.027 0.0020 0.023 0.0014 1.07 0.09 0.056 $B-R_{\rm C}$
(3 ${\times }$ 3) 1.76 2.24 2.66 0.023 0.0018 0.018 0.0011 1.05 0.06 0.055 $B-R_{\rm C}$
  2.66 3.09 3.51 0.020 0.0012 0.017 0.0008 0.92 0.03 0.053 $B-R_{\rm C}$
  3.51 3.95 4.42 0.018 0.0010 0.016 0.0007 0.86 0.02 0.054 $B-R_{\rm C}$
  4.42 4.98 7.93 0.018 0.0011 0.015 0.0007 0.82 0.03 0.054 $B-R_{\rm C}$
subdivision 4.42 4.54 4.67 0.019 0.0012 0.015 0.0011 0.86 0.03    
of last bin 4.67 4.82 4.98 0.018 0.0013 0.016 0.0011 0.79 0.04    
  4.98 5.18 5.44 0.018 0.0013 0.015 0.0010 0.83 0.06    
  5.44 5.84 7.93 0.018 0.0013 0.015 0.0010 0.70 0.05    
WFPC2 6.04 7.57 9.10 0.017 0.0010 0.020 0.0020 0.42 0.07 0.061 $m_{\rm F606W}\!-\!m_{\rm F814W}$
FORS1 7.18 9.38 10.60 0.017 0.0023 0.020 0.0021 0.41 0.06 0.062 $B-R_{\rm C}$
  10.60 11.58 12.51 0.017 0.0019 0.017 0.0013 0.37 0.03 0.058 $B-R_{\rm C}$
  12.51 13.34 14.16 0.019 0.0018 0.014 0.0009 0.41 0.04 0.054 $B-R_{\rm C}$
  14.16 15.29 16.75 0.016 0.0022 0.014 0.0009 0.36 0.04 0.059 $B-R_{\rm C}$
  16.75 19.25 26.19 0.016 0.0020 0.014 0.0010 0.36 0.05 0.058 $B-R_{\rm C}$
ACS/WFC 14.68 17.21 19.69 0.014 0.0020 0.009 0.0020 0.34 0.05 0.057 $m_{\rm F606W}\!-\!m_{\rm F814W}$

For each data set (first column) we give in Cols. 2-4 the radial extent (minimum, median, and maximum r*). In Cols. 5-8 are the sigmas of the Gaussians that best fit the bMS and rMS color distributions, with errors. In the next two columns are the $N_{{\rm bMS}}/N_{{\rm rMS}}$ ratio and its error. The next-to-last column gives the color difference between the two Gaussian peaks, and the final column identifies the color baseline of the data set.


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