Skip to main content

Simulations, Data Analysis and Algorithms

Table 2 Summary of the collision datasets in this work. Each simulation requires two unique models to serve as the target and projectile. In this work, we combined six distinct datasets to create a dataset of 14,856 collisions. The 12D_LHS200 dataset was additionally used to study the convergence of the post-impact parameters, as a convergence study the larger datasets was computationally infeasible. The 12D_LHSLOW dataset was simulated to study low asymptotic relative velocities from 0.1-1 \(v_{\mathrm{esc}}\)

From: Machine learning applied to simulations of collisions between rotating, differentiated planets

Dataset Type Collisions Models \(v_{\infty }\) (\(\mathrm{v}_{\mathrm{esc}}\))
12D_LHS10K ARSM 10,000 20,000 1–10
12D_LHS500 LHS 500 1000 1–10
12D_LHS200 LHS 200 400 1–10
12D_LHSLOW LHS 3384 6768 0.1–1
6D_LHS500 LHS 500 1000 1–10
4D_LHS500 LHS 500 1000 1–10
all Composite 14,856 29,712 0.1–10
train Composite 11,884 23,768 0.1–10
test Composite 2972 5944 0.1–10