User: knarf Date: 2011/11/05 10:59 PM

Modified: / ET.tex

Log: tbd author list, fix reference, use uft8

File Changes:

Directory: / ============

File [modified]: ET.tex Delta lines: +10 -10 =================================================================== --- ET.tex 2011-11-06 03:53:03 UTC (rev 158) +++ ET.tex 2011-11-06 03:59:34 UTC (rev 159) @@ -253,7 +253,7 @@ While the list of studies mentioned in the introduction collectively represent breakthrough simulations that have significantly advanced the modeling of relativistic astrophysical systems, all simulations are presently -missing one or more critical physical ingredients, as well as lacking the +missing one or more critical physical ingredients, as well as the numerical precision to accurately and realistically model the large-scale and small-scale dynamics of their target systems simultaneously.

@@ -277,7 +277,7 @@ ideal MHD approximation, which assumes perfect conductivity. Non-ideal GRMHD schemes are just becoming available~(see, e.g.,~\cite{Palenzuela:2008sf,DelZanna:2007pk}), - but yet to be implemented widely in many branches of numerical relativity. + but yet need to be implemented widely in many branches of numerical relativity.

\item {\bf Equation of state (EOS), microphysics, and radiation transport}. Most presently published 3D GR(M)HD simulations, with the @@ -286,10 +286,10 @@ (see, e.g., \cite{Sekiguchi:2011zd}), relied on a simple zero-temperature descriptions of NS stellar structure, with many assuming simple polytropic forms. - Such EOS are computationally + Such EOSs are computationally efficient, but are not necessarily a good description for matter in relativistic astrophysical systems. The inclusion of - finite-temperature EOS, derived from the microphysical descriptions of + finite-temperature EOSs, derived from the microphysical descriptions of high-density matter, will lead to qualitatively different and much more astrophysically reliable results (see, e.g.,~\cite{Ott:2006eu}). In addition, most GR(M)HD studies are @@ -353,7 +353,7 @@ In addition, the Einstein Toolkit provides computer scientists an ideal platform to perform state-of-the-art research, which directly benefits research in other areas of science and provides an -immediate application of their research. One of the most prominent +immediate science application. One of the most prominent examples within the Einstein Toolkit is the {\tt Cactus} computational toolkit, a framework developed by computer scientists and now used by researchers is many other fields. @@ -377,15 +377,15 @@ blog requires users to first request a login, but then allows for posting at will. Any user can post comments to entries already on the blog. The community makes heavy use of an issue tracking system -({\tt trac.einsteintoolkit.org}), with submissions also open to everyone. +({\tt trac.einsteintoolkit.org}), with submissions also open to the public.

Despite this open design, some actions naturally have to be restricted to a smaller group of maintainers. This is true for, e.g., administrative tasks like the setup and maintenance of the services themselves, or to avoid large amounts of spam. One of the most important tasks of an Einstein Toolkit -Maintainer is to review and apply patches sent by users in order to ensure +maintainer is to review and apply patches sent by users in order to ensure a high software quality level. Every substantial change or addition to -the toolkit has to be reviewed by another Einstein Toolkit Maintainer, +the toolkit has to be reviewed by another Einstein Toolkit maintainer, and is generally open for discussion on the users mailing list. This convention, despite not being technically enforced, works well in practice, and is at the same time promoting active development. @@ -408,8 +408,8 @@ The {\tt Cactus} Framework~\cite{Cactuscode:web,Goodale:2002a,CactusUsersGuide:web} is an open source, modular, portable programming environment for -collaborative HPC computing, primarily developed at LSU@. {\tt Cactus} has -a generic parallel computational toolkit with modules providing +collaborative HPC computing, primarily developed at Louisiana State University@. +The generic, parallel {\tt Cactus} computationa toolkit consists of modules providing parallel drivers, coordinates, boundary conditions, interpolators, reduction operators, and efficient I/O in different data formats. Generic interfaces are used, making it possible to use