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with an uncertainty of 99%.
 

 

Table 5:

Best fit models. The values of the ``observables'' , $O_i^{\rm obs}$, are given for comparison in the note.
Model $\mathscr M_1$ $\mathscr M_2$ Z X Age OV2 $\mathscr R_1$ $\mathscr R_2$ $T_{\rm eff~ 1}$ q k $\Delta T_{\rm eff}$
  ($M_{\odot}$) ($M_{\odot}$)     (Myr)   ($R_{\odot}$) ($R_{\odot}$) (K)     (K)
A 4.05 $\pm$ 0.09 2.74 $\pm$ 0.06 0.014 $\pm$ 0.003 0.728 $\pm$ 0.090 121 $\pm$ 49 0.000 3.76 2.03 13189 0.676 0.541 1631
AC 4.04 $\pm$ 0.11 2.75 $\pm$ 0.08 0.011 $\pm$ 0.003 0.720* 112 $\pm$ 9 0.062 3.68 1.97 13737 0.682 0.537 1520
B1 3.99 $\pm$ 0.08 2.74 $\pm$ 0.06 0.011 $\pm$ 0.002 0.740* 131 $\pm$ 9 0.000 3.77 2.00 13097 0.688 0.530 1310
B2 4.02 $\pm$ 0.08 2.77 $\pm$ 0.06 0.010 $\pm$ 0.002 0.720* 115 $\pm$ 8 0.000 3.77 2.00 13614 0.689 0.530 1338
C6 4.01 $\pm$ 0.08 2.76 $\pm$ 0.06 0.012 $\pm$ 0.002 0.720* 118 $\pm$  9 0.200 3.77 2.00 13339 0.688 0.530 1295
C1 4.05 $\pm$ 0.11 2.78 $\pm$ 0.08 0.018 $\pm$ 0.010 0.738 $\pm$ 10.2 131 $\pm$ 57 0.654 3.77 2.02 12668 0.685 0.536 1305
C4 4.04 $\pm$ 0.11 2.77 $\pm$ 0.08 0.015 $\pm$ 0.007 0.740* 130 $\pm$ 13 0.355 3.77 2.02 12870 0.686 0.535 1320
C2 4.00 $\pm$ 0.08 2.75 $\pm$ 0.06 0.013 $\pm$ 0.002 0.740* 131 $\pm$ 10 0.200 3.77 2.00 12978 0.687 0.530 1277
C5 4.00 $\pm$ 0.08 2.75 $\pm$ 0.06 0.012 $\pm$ 0.002 0.740* 131 $\pm$ 1 0.100 3.77 2.00 13045 0.688 0.530 1293
C7 3.99 $\pm$ 0.08 2.75 $\pm$ 0.06 0.011 $\pm$ 0.002 0.740* 130 $\pm$ 95 0.050 3.77 2.00 13078 0.688 0.530 1298

$O_i^{\rm obs}$: $\mathscr M_1=4.04\pm0.11$; $\mathscr R_1=3.77\pm0.03$; $T_{\rm eff~ 1}=13140\pm1500$; $q=0.674\pm0.009$; $k=0.541\pm0.013$; $\Delta T_{\rm eff}=1096\pm100$(or $1240\pm100$, see text).
For all models OV1=0. Model AC belongs both to group A and C. Several C-type models are listed to illustrate the effect of adjusting OV2.
*) Fixed value.

Source LaTeX | All tables | In the text

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