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Simulations, Data Analysis and Algorithms

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
\(\rho _{1}\) 1 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)