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@@ -88,7 +88,7 @@ In the Principia, Newton asserted that every mass exerts an attractive force on
This law states that the magnitude of the gravitational force between two masses is This law states that the magnitude of the gravitational force between two masses is
\begin{equation} \begin{equation}
F = G \frac{m_1 m_2}{r^2} F_g = G \frac{m_1 m_2}{r^2}
\label{eq:NLUG} \label{eq:NLUG}
\end{equation} \end{equation}
@@ -449,7 +449,7 @@ Looking at Table \ref{tab:grav_equal}, this derived relationship can be verified
\begin{figure}[h!] % h! = “here” placement \begin{figure}[H] % h! = “here” placement
\centering \centering
\includegraphics[width=0.7\textwidth]{Force vs Mass m1 m2} % <-- your image file name \includegraphics[width=0.7\textwidth]{Force vs Mass m1 m2} % <-- your image file name
\caption{$F_g$ vs mass of $m_1$ = $m_2$} \caption{$F_g$ vs mass of $m_1$ = $m_2$}
@@ -458,8 +458,90 @@ Looking at Table \ref{tab:grav_equal}, this derived relationship can be verified
As suggested by equation \ref{eq:m1and2}, there is a proportional quadratic relationship between the masses of the objects and the resulting gravitational force (see Figure \ref{fig:m1m2graph}). As suggested by equation \ref{eq:m1and2}, there is a proportional quadratic relationship between the masses of the objects and the resulting gravitational force (see Figure \ref{fig:m1m2graph}).
Therefore, equation \ref{eq:m1and2} is validated by the simulation. Therefore, equation \ref{eq:m1and2} is validated by the simulation.\\\\
Moving onto Tables \ref{tab:grav_dist1} and \ref{tab:grav_dist2}, the output columns for the gravitational force appear identical.
Upon further inspection, the gravitational force seems to exhibit a dependency on the distance between the masses.
A processed data table can be made combining Tables \ref{tab:grav_dist1} and \ref{tab:grav_dist2},
showcasing the relationship between $F_g$ and $r:= |x_1-x_2|$.
\begin{table}[H]
\centering
\caption{Gravitational force versus distance between two masses.}
\label{tab:grav_vs_r}
\renewcommand{\arraystretch}{1.3}
\begin{tabularx}{0.8\textwidth}{
@{}
>{\centering\arraybackslash}X
>{\centering\arraybackslash}X
@{}
}
\toprule
\textbf{Distance $r$ (m)} & \textbf{Gravitational Force $F_g$ (N)} \\
\midrule
2.00 & $1.67\times10^{-7}$ \\
4.00 & $4.17\times10^{-8}$ \\
6.00 & $1.85\times10^{-8}$ \\
8.00 & $1.04\times10^{-8}$ \\
10.00 & $6.67\times10^{-9}$ \\
\bottomrule
\end{tabularx}
\end{table}
This new relationship is graphed in the figure below:
\begin{figure}[H] % h! = “here” placement
\centering
\includegraphics[width=0.7\textwidth]{Force vs Distance Between Masses} % <-- your image file name
\caption{$F_g$ vs $r= x_2 - x_1$}
\label{fig:rgraph}
\end{figure}
The shown trendline suggests a proprtional fit to $\frac{1}{r^2}$ as follows:
\[
F_g \propto \frac{1}{r^2},
\]
so
\begin{equation}
F_g = k_4 \times \frac{1}{r^2}.
\label{eq:finalEq}
\end{equation}
When combined with equation \ref{eq:m1and2}, NLUG pops out, and the proprtionality constant can be denotes as $G$:
\begin{equation}
F_g = G \frac{m_1 m_2}{r^2} \tag{\ref{eq:NLUG}}
\end{equation}
The final step is to solve for the proportionality constant, $G$. As the relationship has been proven, any data point can be used to solve for this constant.
For simplicity, the control data point (used for setup) will be used, where $m_1$ = 100 kg, $m_2$ = 100 kg, $r = x_2 - x_1 = 6\,\text{m} - 2\,\text{m} = 4\,\text{m}$.
We have
\[
F_g = G \left( \frac{m_1 m_2}{r^2} \right)
= G \left( \frac{100\,\text{kg} \times 100\,\text{kg}}{4^2\,\text{m}^2} \right)
= 4.17 \times 10^{-8}\,\text{N}
\]
\[
G = \frac{F_g \, r^2}{m_1 m_2}
= \frac{(4.17 \times 10^{-8}\,\text{N}) (4\,\text{m})^2}{100\,\text{kg} \times 100\,\text{kg}}
= 6.67 \times 10^{-11}\,\text{N\,m}^2\text{/kg}^2
\].
Ergo, the data from the simulation can be used to derive NLUG and solve for $G$, the universal gravitational constant:
\begin{equation}
F_g = G \frac{m_1 m_2}{r^2}, \quad
G = 6.67 \times 10^{-11}\,\text{N\,m}^2\text{/kg}^2
\label{eq:solvedNLUG}
\end{equation}
\section*{Error Analysis} \section*{Error Analysis}