Table A.1
Results of the application of the gssp_single software module to the simulated data of KIC 11285625 (model 1) and KIC 6352430 (model 2) assuming different S/N and dilution factors.
| Model | T eff | log g | [M/H] | ξ | v sin i | Dilution | S/N |
| (K) | (dex) | (dex) | (km s-1) | (km s-1) | factor | ||
|
|
|||||||
| Parameters of the input spectrum | |||||||
| 1a | 7000/7200 | 4.0/4.2 | –0.2/+0.0 | 1.0/2.5 | 15/9 | 0.95/0.05 | 60 |
| 150 | |||||||
| 1b | 7000/7200 | 4.0/4.2 | –0.2/+0.0 | 1.0/2.5 | 15/9 | 0.60/0.40 | 60 |
| 150 | |||||||
| 1c | 7000/7200 | 4.0/4.2 | –0.2/+0.0 | 1.0/2.5 | 15/9 | 0.20/0.80 | 60 |
| 150 | |||||||
| 2a | 12 750/6800 | 4.0/4.3 | –0.1/–0.3 | 2.0/3.0 | 70/10 | 0.95/0.05 | 60 |
| 150 | |||||||
| 2b | 12 750/6800 | 4.0/4.3 | –0.1/–0.3 | 2.0/3.0 | 70/10 | 0.60/0.40 | 60 |
| 150 | |||||||
| 2c | 12 750/6800 | 4.0/4.3 | –0.1/–0.3 | 2.0/3.0 | 70/10 | 0.20/0.80 | 60 |
| 150 | |||||||
| Results | |||||||
| 1a | 7020 /7315 |
4.08 /4.25 |
–0.15 /+0.13 |
1.12 /2.77 |
15.2 /8.7 |
0.93 /0.05 |
60 |
7012 /7200 |
3.99 /4.14 |
–0.19 /+0.00 |
1.02 /2.53 |
15.1 /9.0 |
0.95 /0.051 |
150 | |
| 1b | 7020 /7215 |
4.00 /4.13 |
–0.16/+0.06 |
1.03 /2.65 |
15.2 /9.1 |
0.60/0.41 |
60 |
6995 /7195 |
3.99 /4.19 |
–0.22/+0.00 |
1.02/2.52 |
15.1/9.1 |
0.61/0.41 |
150 | |
| 1c | 7070 /7215 |
3.85 /4.16 |
–0.12/+0.01 |
1.19 /2.57 |
15.2/8.9 |
0.20/0.79 |
60 |
| 7010/7200 |
3.98/4.20 |
–0.16/+0.00 |
1.04 /2.51 |
15.1 /9.0 |
0.21/0.80 |
150 | |
| 2a | 12 710 /6870 |
4.03/4.37 |
–0.08 /–0.15 |
2.36 /3.36 |
70.0 /9.8 |
0.96/0.06 |
60 |
12 750/6790 |
4.00/4.23 |
–0.10/–0.30 |
2.03 /3.03 |
70.1 /10.1 |
0.95/0.05 |
150 | |
| 2b | 12 860 /6810 |
4.05 /4.20 |
–0.05 /–0.25 |
2.55 /3.15 |
69.5 /10.1 |
0.60/0.41 |
60 |
12 765 /6800 |
4.00/4.29 |
–0.09/–0.28 |
2.00/3.04 |
70.1 /10.1 |
0.61/0.40 |
150 | |
| 2c | 12 860 /6810 |
4.05 /4.26 |
–0.01 /–0.30 |
1.80 /3.08 |
70.5 /9.9 |
0.19/0.81 |
60 |
12 800 /6800 |
4.01 /4.28 |
–0.10 /–0.30 |
1.91 /3.02 |
70.2 /10.0 |
0.20/0.80 |
150 | |
Notes. The “Parameters of the input spectrum” refer to the exact parameter values assumed in the models. The error bars represent 1σ uncertainties computed from χ2 statistics and taking into account any possible correlations between different parameters. The parameters are given in the form primary/secondary.
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