Release Announcement
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.
For more information about using or contributing to the Einstein Toolkit, or to join the Einstein Toolkit Consortium, please visit our web pages, 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 “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