[Commits] [svn:einsteintoolkit] Paper_EinsteinToolkit_2010/ (Rev. 159)

[knarf at cct.lsu.edu]

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