27 | | Prediction: By 24 days, expect the diffusion wave to hit the boundary. Depending on the energy injection rate compared to the diffusion rate, the shape of the curve might be different. For instance, if energy injection rate (Er) >> diffusion rate (Dr), might expect the gaussian to be increasing in height as well as width. If Er = Dr, might expect the profile to be flat, as it grows in width. If Er << Dr, expect a gaussian that grows in width over time, but not height. |
| 27 | '''Prediction''': By 24 days, expect the diffusion wave to hit the boundary. Depending on the energy injection rate compared to the diffusion rate, the shape of the curve might be different. For instance, if energy injection rate (Er) >> diffusion rate (Dr), might expect the gaussian to be increasing in height as well as width. If Er = Dr, might expect the profile to be flat, as it grows in width. If Er << Dr, expect a gaussian that grows in width over time, but not height. |
52 | | Check: Make curve of Erad_total(t). |
| 54 | '''Check''': Make curve of Erad_total(t). |
| 55 | |
| 56 | '''Prediction''': The thermal energy, e, of a zone immediately adjacent to the kernel should increase linearly. This is because, the difference between the energy injected into the grid, E*, and 4piB, is some height X (where X = L*dt-B). So, right next to kernel, expect the coupling time to go like: |
| 57 | |
| 58 | [[latex($\int de=\kappa_P \rho X \int dt$)]] |
| 59 | |
| 60 | Or, |
| 61 | |
| 62 | [[latex($\triangle e=\kappa_P \rho (L*dt-B) \triangle t$)]] |
| 63 | |
| 64 | *This assumes the energy injection rate is << diffusion rate, so that we know the difference in height between Erad and B*. |
| 65 | |
| 66 | '''Check''': Make a time query of a cell near the kernel. |
| 67 | |
| 68 | |