Table 8 Summary of variables used in EDACM and the values used in our implementation. All values are those suggested in LS12. However, we note that our determination of the target/projectile radii and bulk densities are different, having been calculated for differentiated bodies
From: Machine learning applied to simulations of collisions between rotating, differentiated planets
Parameter | Value | Description |
|---|---|---|
\(\rho _{1}\) | 1Â g/cm3 | Assumed bulk density |
η | −1.5 | Exponent of the power-law fragment distribution in the SCD regime |
\(c^{\star }\) | 1.9 | Head-on equal-mass disruption energy in units of specific gravitational binding energy |
μ̄ | 0.36 | Velocity exponent in coupling parameter |
β | 2.85 | Slope of fragment size distribution |
\(N_{\mathrm{LR}}\) | 1 | Disruption (γ ≤ 0.95) |
\(N_{\mathrm{SLR}}\) | 2 | Disruption (γ ≤ 0.95) |
\(N_{\mathrm{LR}}\) | 2 | Hit & run (γ>0.95) |
\(N_{\mathrm{SLR}}\) | 4 | Hit & run (γ>0.95) |