Congrats! --Steve
On 11/29/2022 1:18 PM, Roland Haas wrote: > Release Announcement > > Click here to read the announcement in HTML (with hyperlinks): > https://einsteintoolkit.org/about/releases/ET_2022_11_announcement.html > > We are pleased to announce the twenty-fifth release (code name "Sophie > Kowalevski") of the Einstein Toolkit, an open-source, community > developed software infrastructure for relativistic astrophysics. The > major changes in this release include: > > * many READS / WRITES statements were corrected > * there is now more robust testsuite error reporting > * kuibit has improved support for modern matplotlib versions > * a workaround for Intel 19+ compilers was added to GRHydro > > Three new arrangements and thorns have been added: > > * FLRW initial data solver for cosmological initial data > * NRPyEllipticET hyperbolic relaxation initial data solver for > vacuum spacetimes > * The Canuda library of codes now supports complex and real scalar > fields > > New capabilities for existing codes: > > * The SelFforce-1D code now supports gravitational perturbations > using the Regge-Wheeler-Zerilli formalism > > In addition, bug fixes accumulated since the previous release in May > 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 postprocessing 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, or contact the users mailing > list [email protected]. > > 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 336 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 > The following features are being marked as deprecated in this release > and will be removed in the next release > > * the "REQUIRES THORNS" statement in configuration.ccl has been > deprecated and will be removed in the next release. Please use > "REQUIRES" and "PROVIDES" instead. > * TmunuBase will no longer inherit from ADMBase and SaticConformal > after this release, meaning thorns that inherit from TmunuBase > will no longer automatically have access to the spacetime metric. > Please explicitly inherit from ADMBase to access those variables. > > 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: > > * Alexandru Dima > * Anuj Kankani > * Cheng-Hsin Cheng > * Chloe Beth Richards > * Giuseppe Ficarra > * Hayley Macpherson > * Leonardo Werneck > * Liwei Ji > * Miguel Zilhao > * Samuel Cupp > * Taishi Ikeda > > How to upgrade from Riemann Release (ET_2022_05) > > 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) on the > Einstein Toolkit website for download instructions. > > The SelfForce-1D code uses a single git repository, thus using > > git pull; git checkout ET_2022_11 > > will update the code. > > To install Kuibit, do the following: > > pip install --user -U kuibit==1.3.6 > > Machine notes > > Supported (tested) machines include: > > * Default Debian, Ubuntu, Fedora, Mint, and OpenSUSE installations > * Expanse > * Queen Bee 2 > * Queen Bee 3 > * Stampede 2 > * Summit > * SuperMUC > > 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_2022_11 > marking this release. These release branches will be updated if severe > errors are found. > > The "Sophie Kowalevski" Release Team on behalf of the Einstein Toolkit > Consortium (2022-11-29) > > * Roland Haas > * Allen Wen > * Anuj Kankani > * Bing-Jyun Tsao > * Cheng-Hsin Cheng > * Chi Tian > * Giuseppe Ficarra > * Hrishikesh Kalyanaraman > * Lisa Leung > * Nadine Kuo > * Peter Diener > * Steven R. Brandt > * Taishi Ikeda > * Zachariah Etienne > > November 29, 2022 > _______________________________________________ > News mailing list > [email protected] > http://www.cactuscode.org/mailman/listinfo/news _______________________________________________ Users mailing list [email protected] http://cactuscode.org/mailman/listinfo/users
