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rough mass retention comparison
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images/plots/mass_griddata1.pdf
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main.tex
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main.tex
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@ -32,7 +32,68 @@
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\chapter{Mass retention}
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\todo[inline]{Just mention quickly that everything can also be applied to mass retention and show a few plots}
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While this thesis focuses on the water retention after the collisions, the same methods can be applied to the fraction of basalt from the core of the two bodies that remains after the collision.
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\begin{table}
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\centering
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\begin{tabular}{rcc}
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& {mean squared error} & {mean error} \\
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neural network & 0.043 & 0.167 \\
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RBF & 0.032 & 0.149 \\
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griddata & 0.041 & 0.169
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\end{tabular}
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\caption{prediction accuracy for the different interpolation methods}
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\label{tab:mass_comparison}
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\end{table}
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\begin{figure}
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\centering
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\begin{subfigure}[t]{0.5\textwidth}
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\centering
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\includegraphics[width=\linewidth]{images/plots/mass_griddata1.pdf}
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\caption{Griddata with $m_{total}=\num{e22}$}
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\label{fig:mass_griddata1}
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\end{subfigure}%
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~
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\begin{subfigure}[t]{0.5\textwidth}
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\centering
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\includegraphics[width=\linewidth]{images/plots/mass_griddata2.pdf}
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\caption{Griddata with $m_{total}=\num{e24}$}
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\label{fig:mass_griddata2}
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\end{subfigure}
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~
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\begin{subfigure}[t]{0.5\textwidth}
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\centering
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\includegraphics[width=\linewidth]{images/plots/mass_rbf1.pdf}
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\caption{RBF with $m_{total}=\num{e22}$}
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\label{fig:mass_rbf1}
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\end{subfigure}%
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~
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\begin{subfigure}[t]{0.5\textwidth}
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\centering
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\includegraphics[width=\linewidth]{images/plots/mass_rbf2.pdf}
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\caption{RBF with $m_{total}=\num{e24}$}
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\label{fig:mass_rbf2}
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\end{subfigure}
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~
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\begin{subfigure}[t]{0.5\textwidth}
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\centering
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\includegraphics[width=\linewidth]{images/plots/mass_nn1.pdf}
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\caption{Neural Network with $m_{total}=\num{e22}$}
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\label{fig:mass_nn1}
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\end{subfigure}%
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~
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\begin{subfigure}[t]{0.5\textwidth}
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\centering
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\includegraphics[width=\linewidth]{images/plots/mass_nn2.pdf}
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\caption{Neural Network with $m_{total}=\num{e24}$}
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\label{fig:mass_nn2}
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\end{subfigure}
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\caption{TODO}
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\label{fig:mass_results}
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\end{figure}
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