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\documentclass[10pt]{beamer}
\input{mystyle_beamer.tex}
\usetikzlibrary{arrows.meta}
\usetikzlibrary{decorations.pathmorphing}
\usetikzlibrary{calc}
\tikzset{zigzag/.style={decorate, decoration=zigzag}}
\def \L {2.}
\title{Towards Moving Picture Simulations in a Discontinuous Galerkin Framework}
\author{Yingjie Wang}
\institute{FAU}
\addbibresource{ref.bib}
\begin{document}
\maketitle
\begin{frame}{Contents}
\tableofcontents
\end{frame}
\begin{frame}{Outline of the Project}
\section{Introduction}
\begin{enumerate}
\item A first order evolution system, to be named FOZ4c
\item An implementation in our discontinuous Galerkin code \texttt{nmesh}
\item Simulations of binary black holes with large mass ratio with the moving puncture gauge
\end{enumerate}
\end{frame}
\begin{frame}{Final Goal: binary black holes with large mass ratio}
\subsection{binary black holes with large mass ratio}
Why binary black holes?
\begin{itemize}
\item Main sources of gravitational waves
\item Simplest two-body problem in general relativity
\item Connecting strong field GR with post-Newtonian approximations
\end{itemize}
Why large mass ratio?
\begin{itemize}
\item LISA is able to detect extreme mass ratio inspirals (EMRIs)
\item Compare with perturbation theory
\end{itemize}
\end{frame}
\begin{frame}{Methods on evolving black holes}
\subsection{Methods on evolving black holes}
There are two main methods to evolve black holes in numerical relativity:
\begin{itemize}
\item Excision method: excise the black hole interior from the computational domain, and impose boundary conditions on the excision surface
\item Moving puncture method: evolve the black hole as a puncture, and use a suitable gauge condition to avoid the singularity.
\end{itemize}
\end{frame}
\begin{frame}{Methods on evolving black holes: excision}
\begin{figure}
\centering
\includegraphics[width=0.7\textwidth]{imgs/black_hole_excision_mesh.png}
\caption{An example mesh using excision method from \cite{Hemberger_2013}.}
\end{figure}
\end{frame}
\begin{frame}{Methods on evolving black holes}
\begin{tikzpicture}[>=Latex, line cap=round, line join=round]
% causal diamond
\draw[thick,red,zigzag] (-\L,\L) coordinate(stl) -- (\L,\L) coordinate (str);
\draw[thick,black] (\L,-\L) coordinate (sbr)
-- (0,0) coordinate (bif) -- (stl);
\draw[thick,black,fill=blue, fill opacity=0.2,text opacity=1]
(bif) -- (str) -- (2*\L,0) node[right] (io) {$i^0$} -- (sbr);
% null labels
\draw[black] (1.4*\L,0.7*\L) node[right] (scrip) {$\mathcal{I}^+$}
(1.5*\L,-0.6*\L) node[right] (scrip) {$\mathcal{I}^-$}
(0.2*\L,-0.6*\L) node[right] (scrip) {$\mathcal{H}^-$}
(0.5*\L,0.85*\L) node[right] (scrip) {$\mathcal{H}^+$};
% singularity label
\draw[thick,red,<-] (0,1.05*\L)
-- (0,1.2*\L) node[above] {\color{red} singularity};
% % Scwharzschild surface
% \draw[thick,blue] (bif) .. controls (1.*\L,-0.35*\L) .. (2*\L,0);
% \draw[thick,blue,<-] (1.75*\L,-0.1*\L) -- (1.9*\L,-0.5*\L)
% -- (2*\L,-0.5*\L) node[right,align=left]
% {$t=$ constant\\in Schwarzschild\\coordinates};
% excision surface
\draw[thick,dashed,red] (-0.3*\L,0.3*\L) -- (0.4*\L,\L);
\draw[thick,red,<-] (-0.33*\L,0.3*\L)
-- (-0.5*\L,0.26*\L) node[left,align=right] {excision\\surface};
% Kerr-Schild surface
\draw[green,thick] (0.325*\L,0.325*\L) .. controls (\L,0) .. (2*\L,0);
\draw[green,dashed,thick] (0.325*\L,0.325*\L) -- (-0.051*\L,0.5*\L);
% Kerr-Schild label
\draw[green,thick,<-] (0.95*\L,0.15*\L) -- (1.2*\L,0.5*\L)
-- (2*\L,0.5*\L) node[right,align=left]
{time slice};
\end{tikzpicture}
\end{frame}
\begin{frame}{Methods on evolving black holes: moving puncture}
In the isotropic coordinate for Schwarzschild black hole, the spical metric
\begin{equation*}
\dd{l^2} = \left( 1+\frac{M}{2r} \right)^4 (\dd{r^2} + r^2 \dd{\Omega^2})
\end{equation*}
is conformally flat, with the conformal factor $\psi = 1 + \frac{M}{2r}$.
General $N$ black hole puncture initial data:
\begin{equation*}
\psi = \sum_{i=1}^N \frac{M_i}{2|\vb*{r}-\vb*{r}_i|} + (\text{regular part}),
\end{equation*}
again, if we factor out the conformal factor $\psi$, the remaining conformal metric is regular everywhere.
\end{frame}
\begin{frame}{Methods on evolving black holes: moving puncture}
In the moving puncture mothod, we won't cut out the black hole singularity, but choose a gauge condition that makes the singularity invisible to the numerical evolution.
\begin{figure}
\centering
\includegraphics[width=0.42\textwidth]{imgs/moving_puncture_init.png}
\includegraphics[width=0.45\textwidth]{imgs/moving_puncture_stable.png}
\caption{The embedding of the initial slice (left) and the final slice (right) in the moving puncture method, from \cite{Hannam_2008}.}
\end{figure}
\end{frame}
\begin{frame}{Methods on evolving black holes: moving puncture}
\begin{figure}
\centering
\includegraphics[width=0.7\textwidth]{imgs/moving_puncture_penrose.png}
\caption{The numerical time slices in the moving puncture method in the Penrose diagram, from \cite{Hannam_2008}.}
\end{figure}
\end{frame}
\begin{frame}{Discontinuous Galerkin method and \texttt{nmesh}}
\subsection{Discontinuous Galerkin method and \texttt{nmesh}}
There are two main numerical methods in numerical relativity:
\begin{itemize}
\item Finite Difference / Finite Volume
\begin{itemize}
\item Easy to implement, and mature codes available
\end{itemize}
\item Spectral / Discontinuous Galerkin
\begin{itemize}
\item High accuracy for smooth solutions
\end{itemize}
\end{itemize}
\end{frame}
\begin{frame}{Discontinuous Galerkin method and \texttt{nmesh}}
Core idea of DG method: if we have a first-order PDE system:
\begin{equation*}
\pdvt{u} + A^i \pdv{u}{x^i} = S,
\end{equation*}
then for some test functions $\{v_a\}$, we have
\begin{equation*}
\left(v_a, \pdvt{u}\right) + \left(v_a, A^i \pdv{u}{x^i}\right) = (v_a, S),
\end{equation*}
which reduce to a linear system of $\{ u_a = (v_a, u)\}$ after intergrating by parts. Boundary terms are replaced by numerical fluxes.
We use Lagrange polynomials over Gauss-Legendre points on each element.
\begin{center}
\begin{tikzpicture}[scale=4]
\draw[thick, blue] (0,0) -- (1,0);
\draw[thick, red] (1,0) -- (2,0);
\pgfmathsetmacro{\a}{0.5 - 0.5*sqrt(3/7)}
\pgfmathsetmacro{\b}{0.5 + 0.5*sqrt(3/7)}
\pgfmathsetmacro{\c}{1.5 - 0.5*sqrt(3/7)}
\pgfmathsetmacro{\d}{1.5 + 0.5*sqrt(3/7)}
\foreach \x in {0,\a,0.5,\b,1}
\fill[blue] (\x,0) circle (0.018);
\foreach \x in {1,\c,1.5,\d,2}
\fill[red] (\x,0) circle (0.018);
\fill[blue] (1,0) circle (0.022);
\fill[red] (1,0) circle (0.013);
\end{tikzpicture}
\end{center}
Information exchange only happens at the boundaries of elements through numerical fluxes, which makes it easy to parallelize.
\end{frame}
\begin{frame}{References}
\printbibliography
\end{frame}
\end{document}