[Users] New Einstein Toolkit Release (Schwarzschild)

Thu May 25 10:12:18 CDT 2023

Yes, thank you both so much. The community is grateful for all you have 
done.

--Steve

On 5/25/2023 4:38 AM, Helvi Witek wrote:
>
> 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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>
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