[Users] New Einstein Toolkit Release (Schwarzschild)
Helvi Witek
hwitek at illinois.edu
Thu May 25 04:38:00 CDT 2023
Dear Sam, Leo,
thank you for spearheading the latest release of the Einstein Toolkit.
This is important work for this community, and we very much appreciate it.
We noticed that Giuseppe Ficarra (in cc) is not listed as contributor
nor in the release team.
Giuseppe is a co-author of the new Einstein Toolkit thorn
"TwoPunctures_BBHSF."
As per best scientific practices to credit scientific work, I would ask
you to please add him as contributor and member of the release team on
the Einstein Toolkit website and in the release notes.
Best wishes,
Helvi
---------------------------------------------
Dr. Helvi Witek
Assistant Professor
Department of Physics
University of Illinois at Urbana-Champaign
247 Loomis Lab
1110 W Green St
Urbana, IL 61801
---------------------------------------------
On 5/24/23 10:58 AM, Cupp, Samuel D. wrote:
> Release Announcement
>
> Click here to read the announcement in HTML (with hyperlinks):
> https://einsteintoolkit.org/about/releases/ET_2023_05_announcement.html
> <https://urldefense.com/v3/__https://einsteintoolkit.org/about/releases/ET_2023_05_announcement.html__;!!DZ3fjg!5TkgZVyFsTZLkHtnyQibOcaEiP_lpMBil1TEXu_lpC-s4X2ZSwNUBCVriyx9oJIOvgS2lbgBsqHl6pdTilgS$>
>
> We are pleased to announce the twenty-sixth release (code name "Karl
> Schwarzschild") of the Einstein Toolkit, an open-source,
> community-developed software infrastructure for relativistic
> astrophysics. The major changes in this release include:
>
> * kuibit 1.4.0, which, in addition to bug fixes, improves support
> for working with horizon data, timer data, and higher rank objects
> (See release notes for more details).
>
> Two new arrangements and thorns have been added:
>
> * The FUKA reader for numerical relativity initial data
> * TwoPunctures_BBHSF for binary black hole with scalar fields
> initial data
>
> New capabilities for existing codes:
>
> * Baikal and BaikalVacuum have been updated to have READ/WRITE
> declarations for automated ghost zone synchronization. Several
> variable groups (such as RHS variables) are also no longer
> included in checkpoint/restart operations.
> * particle_tracerET can now output the particles' four-velocity
> (contravariant and covariant); added support for binary output
> format; removed limit on the number of tracer particles
>
> In addition, bug fixes accumulated since the previous release in
> November 2022 have been included.
>
> The Einstein Toolkit is a collection of software components and tools
> for simulating and analyzing general relativistic astrophysical systems
> that builds on numerous software efforts in the numerical relativity
> community, including code to compute initial data parameters, the
> spacetime evolution codes Baikal, lean_public, and McLachlan, analysis
> codes to compute horizon characteristics and gravitational waves, the
> Carpet AMR infrastructure, and the relativistic magneto-hydrodynamics
> codes GRHydro and IllinoisGRMHD. Data analysis and post-processing is
> handled by the kuibit library. The Einstein Toolkit also contains a 1D
> self-force code. For parts of the toolkit, the Cactus Framework is used
> as the underlying computational infrastructure, providing large-scale
> parallelization, general computational components, and a model for
> collaborative, portable code development.
>
> The Einstein Toolkit uses a distributed software model, and its
> different modules are developed, distributed, and supported either by
> the core team of Einstein Toolkit Maintainers or by individual groups.
> Where modules are provided by external groups, the Einstein Toolkit
> Maintainers provide quality control for modules for inclusion in the
> toolkit and help coordinate support. The Einstein Toolkit Maintainers
> currently involve staff and faculty from five different institutions and
> host weekly meetings that are open for anyone to join.
>
> Guiding principles for the design and implementation of the toolkit
> include: open, community-driven software development; well thought-out
> and stable interfaces; separation of physics software from computational
> science infrastructure; provision of complete working production code;
> training and education for a new generation of researchers.
>
> For more information about using or contributing to the Einstein
> Toolkit, or to join the Einstein Toolkit Consortium, please visit our
> web pages at http://einsteintoolkit.org
> <https://urldefense.com/v3/__http://einsteintoolkit.org__;!!DZ3fjg!5TkgZVyFsTZLkHtnyQibOcaEiP_lpMBil1TEXu_lpC-s4X2ZSwNUBCVriyx9oJIOvgS2lbgBsqHl6p25Cb3n$>,
> or contact the users mailing
> list users at einsteintoolkit.org.
>
> The Einstein Toolkit is primarily supported by NSF
> 2004157/2004044/2004311/2004879/2003893 (Enabling fundamental research
> in the era of multi-messenger astrophysics).
>
> The Einstein Toolkit contains about 350 regression test cases. On a
> large portion of the tested machines, almost all of these tests pass,
> using both MPI and OpenMP parallelization.
>
> Deprecated functionality
> There are no features marked as deprecated in this release, to be
> removed in the next release.
>
> Contributors
>
> Among the many contributors to the Einstein Toolkit and to this release
> in particular, important contributions to new components were made by
> the following authors:
>
> * Cheng-Hsin Cheng
> * Gabriele Bozzola
> * Leonardo Werneck
> * Ludwig Jens Papenfort
> * Samuel Cupp
> * Samuel Tootle
>
> How to upgrade from Kowalevski Release (ET_2022_11)
>
> To upgrade from the previous release, use GetComponents with the new
> thornlist to check out the new version.
>
> See the Download page (http://einsteintoolkit.org/download.html
> <https://urldefense.com/v3/__http://einsteintoolkit.org/download.html__;!!DZ3fjg!5TkgZVyFsTZLkHtnyQibOcaEiP_lpMBil1TEXu_lpC-s4X2ZSwNUBCVriyx9oJIOvgS2lbgBsqHl6oQk8cEg$>)
> on the
> Einstein Toolkit website for download instructions.
>
> The SelfForce-1D code uses a single git repository; thus, using
>
> git pull; git checkout ET_2023_05
>
> will update the code.
>
> To install Kuibit, do the following:
>
> pip install --user -U kuibit==1.4.0
>
> Machine notes
>
> Supported (tested) machines include:
>
> * Debian, Ubuntu, Fedora, Mint, OpenSUSE, and macOS X installations
> with dependencies installed as prescribed in the official
> installation instructions
> * Deep Bayou
> * Delta
> * Expanse
> * Frontera
> * Golub
> * Queen Bee 2
> * Queen Bee 3
> * Stampede 2
> * Summit
> * Sunrise
> * SuperMIC
> * SuperMUC
> * ThornyFlat
>
> Note for individual machines:
>
> * TACC machines: defs.local.ini needs to have `sourcebasedir =
> $WORK` and `basedir = $SCRATCH/simulations` configured for this
> machine. You need to determine $WORK and $SCRATCH by logging in to
> the machine.
> * SuperMUC-NG: defs.local.ini needs to have `sourcebasedir = $HOME`
> and `basedir = $SCRATCH/simulations` configured for this machine.
> You need to determine $HOME and $SCRATCH by logging in to the
> machine.
>
> All repositories participating in this release carry a branch ET_2023_05
> marking this release. These release branches will be updated if severe
> errors are found.
>
> The "Karl Schwarzschild" Release Team on behalf of the Einstein Toolkit
> Consortium (2023-05-24)
>
> * Leonardo Werneck
> * Samuel Cupp
> * Beyhan Karakas
> * Bing-Jyun Tsao
> * Cheng-Hsin Cheng
> * Jake Doherty
> * Konrad Topolski
> * Peter Diener
> * Roland Haas
> * Steven R. Brandt
> * Terrence Pierre Jacques
> * Thiago Assumpcao
> * Zachariah Etienne
>
> May 24, 2023
>
> _______________________________________________
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> Users at einsteintoolkit.org
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