Table 2.
Settings of optimization simulations.
| Model name | Abundance | Zaccretion | n | DT [cm2 s−1] | fovershoot | A2 [%] | Comment |
|---|---|---|---|---|---|---|---|
| K2 | AAG21 | steady | – | – | – | 10 | |
| K2-MZvar | AAG21 | variable | – | – | – | 10 | |
| K2-TM | AAG21 | steady | 4 | 5000 | – | 10 | |
| K2-MZvar-TM | AAG21 | variable | 4 | 5000 | – | 10 | Fiducial |
| K2-A2 | AAG21 | steady | – | – | – | [0, 20] | Appendix A |
| K2-fov | AAG21 | steady | – | – | 0.01/0.023 | 10 | Appendix B |
| K2-A09 | AGSS09 | steady | – | – | 0.0103 | 12 | N = 6; from KGB22 |
| K2-MZvar-A09 | AGSS09 | variable | – | – | 0.0042 | 12 | N = 6; from KGB22 |
Notes. All the new models in this study use three input parameters and three target values (N = M = 3). The parameters n and DT control turbulent mixing (see Eq. (1)). The K2-A09 and K2-MZvar-A09 models correspond to K2-A2-12 and K2-MZvar-A2-12 in KG21 and KGB22: the names are changed to emphasize the abundances.
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