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Release Announcement
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<div>Click here to read the announcement in HTML (with hyperlinks):</div>
<div class="elementToProof"><a href="https://einsteintoolkit.org/about/releases/ET_2023_11_announcement.html">https://einsteintoolkit.org/about/releases/ET_2023_11_announcement.html</a></div>
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<div>We are pleased to announce the twenty-seventh release (code name "Lise</div>
<div>Meitner") of the Einstein Toolkit, an open-source, community-developed</div>
<div class="elementToProof">software infrastructure for relativistic astrophysics. The major changes</div>
<div>in this release include:</div>
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</div>
<div>Several new arrangements and thorns have been added:</div>
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<div> * CarpetX arrangement for the new AMReX-based mesh driver and</div>
<div class="elementToProof"> supporting thorns</div>
<div> * GRHayLib for access to the General Relativistic Hydrodynamics</div>
<div> Library (GRHayL)</div>
<div> * GRHayLID for simple GR(M)HD initial data using GRHayLib (e.g.</div>
<div> Balsara tests, isotropic gas)</div>
<div> * GRHayLHD for GRHD evolution using GRHayL (equivalent to</div>
<div> IllinoisGRMHD with no magnetic fields)</div>
<div> * GRHayLIDX for CarpetX version of GRHayLID; this thorn currently</div>
<div> runs on the host, not the gpu</div>
<div> * GRHayLHDX for CarpetX version of GRHayLHD; this thorn currently</div>
<div> runs on the host, not the gpu</div>
<div> * DNSdata for importing SGRID initial data</div>
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<div>New capabilities for existing codes:</div>
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<div> * Seed_Magnetic_Fields has been updated to support both TOV and BNS</div>
<div> magnetic fields; explicit IllinoisGRMHD scheduling dependency</div>
<div> removed to support broader usage; some parameter options are</div>
<div> deprecated and will be removed in the next release</div>
<div><br>
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<div>In addition, bug fixes accumulated since the previous release in May</div>
<div>2023 have been included.</div>
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<div>The Einstein Toolkit is a collection of software components and tools</div>
<div>for simulating and analyzing general relativistic astrophysical systems</div>
<div>that builds on numerous software efforts in the numerical relativity</div>
<div>community, including code to compute initial data parameters, the</div>
<div>spacetime evolution codes Baikal, lean_public, and McLachlan, analysis</div>
<div>codes to compute horizon characteristics and gravitational waves, the</div>
<div>Carpet AMR infrastructure, and the relativistic (magneto)hydrodynamics</div>
<div>codes GRHayLHD, GRHayLHDX, GRHydro, and IllinoisGRMHD. Data analysis and</div>
<div>post-processing is handled by the kuibit library. The Einstein Toolkit</div>
<div>also contains a 1D self-force code. For parts of the toolkit, the Cactus</div>
<div>Framework is used as the underlying computational infrastructure,</div>
<div>providing large-scale parallelization, general computational components,</div>
<div>and a model for collaborative, portable code development.</div>
<div><br>
</div>
<div class="elementToProof">The Einstein Toolkit uses a distributed software model, and its</div>
<div>different modules are developed, distributed, and supported either by</div>
<div class="elementToProof">the core team of Einstein Toolkit Maintainers or by individual groups.</div>
<div>Where modules are provided by external groups, the Einstein Toolkit</div>
<div>Maintainers provide quality control for modules for inclusion in the</div>
<div>toolkit and help coordinate support. The Einstein Toolkit Maintainers</div>
<div>currently involve staff and faculty from five different institutions and</div>
<div>host weekly meetings that are open for anyone to join.</div>
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</div>
<div>Guiding principles for the design and implementation of the toolkit</div>
<div>include: open, community-driven software development; well thought-out</div>
<div>and stable interfaces; separation of physics software from computational</div>
<div>science infrastructure; provision of complete working production code;</div>
<div>training and education for a new generation of researchers.</div>
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<div>For more information about using or contributing to the Einstein</div>
<div>Toolkit, or to join the Einstein Toolkit Consortium, please visit our</div>
<div>web pages at http://einsteintoolkit.org, or contact the users mailing</div>
<div>list users@einsteintoolkit.org.</div>
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<div>The Einstein Toolkit is primarily supported by NSF</div>
<div>2004157/2004044/2004311/2004879/2003893/2114582/2227105 (Enabling</div>
<div>fundamental research in the era of multi-messenger astrophysics).</div>
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<div>The Einstein Toolkit contains about 400 regression test cases. On a</div>
<div>large portion of the tested machines, almost all of these tests pass,</div>
<div>using both MPI and OpenMP parallelization.</div>
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<div>Deprecated functionality</div>
<div class="elementToProof"> * Seed_Magnetic_Fields: to support the changes, parameter options</div>
<div> were renamed; the old options are deprecated and will be removed</div>
<div> in the next release</div>
<div> * Seed_Magnetic_Fields_BNS is slated to be removed in the next</div>
<div> release, as its features have been merged into</div>
<div class="elementToProof"> Seed_Magnetic_Fields</div>
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<div class="elementToProof">Contributors</div>
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<div>Among the many contributors to the Einstein Toolkit and to this release</div>
<div>in particular, important contributions to new components were made by</div>
<div>the following authors:</div>
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</div>
<div> * Federico G. Lopez Armengol</div>
<div> * Steven R. Brandt</div>
<div> * Michail Chabanov</div>
<div> * Cheng-Hsin Cheng</div>
<div> * Samuel Cupp</div>
<div> * Alexandru Dima</div>
<div> * Jake Doherty</div>
<div> * Lorenzo Ennoggi</div>
<div> * Zachariah Etienne</div>
<div> * Roland Haas</div>
<div> * Terrence Pierre Jacques</div>
<div> * Liwei Ji</div>
<div> * Jay Kalinani</div>
<div> * Philipp Moesta</div>
<div> * Michal Pirog</div>
<div> * Lucas Timotheo Sanches</div>
<div> * Erik Schnetter</div>
<div> * Swapnil Shankar</div>
<div> * Wolfgang Tichy</div>
<div> * Leonardo Werneck</div>
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<div>How to upgrade from Schwarzschild Release (ET_2023_05)</div>
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<div>To upgrade from the previous release, use GetComponents with the new</div>
<div>thornlist to check out the new version.</div>
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<div>See the Download page (http://einsteintoolkit.org/download.html) on the</div>
<div>Einstein Toolkit website for download instructions.</div>
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<div>The SelfForce-1D code uses a single git repository; thus, using</div>
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<div>git pull; git checkout ET_2023_11</div>
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<div>will update the code.</div>
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<div>To install Kuibit, do the following:</div>
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<div>pip install --user -U kuibit==1.4.0</div>
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<div>Machine notes</div>
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<div>Supported (tested) machines include:</div>
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<div class="elementToProof"> * Debian, Ubuntu, Fedora, Mint, OpenSUSE, and macOS X installations</div>
<div class="elementToProof"> with dependencies installed as prescribed in the official</div>
<div> installation instructions</div>
<div> * Anvil</div>
<div> * Deep Bayou</div>
<div> * Delta</div>
<div> * Expanse</div>
<div> * Frontera</div>
<div> * Sunrise</div>
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<div>Note for individual machines:</div>
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<div> * TACC machines: defs.local.ini needs to have `sourcebasedir =</div>
<div> $WORK` and `basedir = $SCRATCH/simulations` configured for this</div>
<div> machine. You need to determine $WORK and $SCRATCH by logging in to</div>
<div> the machine.</div>
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<div>All repositories participating in this release carry a branch ET_2023_11</div>
<div>marking this release. These release branches will be updated if severe</div>
<div>errors are found.</div>
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<div>The "Lise Meitner" Release Team on behalf of the Einstein Toolkit</div>
<div>Consortium (2023-12-14)</div>
<div><br>
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<div> * Samuel Cupp</div>
<div> * Steven R. Brandt</div>
<div> * Peter Diener</div>
<div> * Zachariah Etienne</div>
<div> * Roland Haas</div>
<div> * Liwei Ji</div>
<div> * Deborah Ferguson</div>
<div> * Gabriele Bozzola</div>
<div> * Hyun Park</div>
<div><br>
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<div>December 14, 2023</div>
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