Users June 2024

users@lists.einsteintoolkit.org

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18 discussions

ET_2024_05 "Lev Landau" Einstein Toolkit Release Announcement
by sbrandt＠cct.lsu.edu 28 Jun '24

28 Jun '24

Release Announcement Click here to read the announcement in HTML (with hyperlinks): https://einsteintoolkit.org/about/releases/ET_2024_05_announcement.html We are pleased to announce the twenty-eighth release (code name "Lev Landau") of the Einstein Toolkit, an open-source, community-developed software infrastructure for relativistic astrophysics. The major changes in this release include: One new thorn has been added: * NewRadX -- This thorn provides radiative outer boundaries for the CarpetX driver. Updated thorns: * GRHayL-based IllinoisGRMHD -- this release introduces entropy evolution, tabulated equation of state, and piecewise polytrope support * Baikal(Vacuum) -- updated to use the new version of the Python code generator NRPy 2.0 * GRHayLHD(X) -- now has a tabulated EOS * Kuibit -- now supports reading the OpenPMD files generated by CarpetX In addition, bug fixes accumulated since the previous release in Nov 2023 have been included. Including ticket number 2647, correction to the WENO coefficients. The Einstein Toolkit is a collection of software components and tools for simulating and analyzing general relativistic astrophysical systems. It builds on numerous software efforts in the numerical relativity community, including codes 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 GRHayLHD, GRHayLHDX, GRHydro, and IllinoisGRMHD. Data analysis and post-processing are 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. 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 ensure quality control for modules included 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 to anyone. 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 users(a)einsteintoolkit.org. The Einstein Toolkit is primarily supported by NSF 2004157/2004044/2004311/2004879/2003893/2114582/2227105 (Enabling fundamental research in the era of multi-messenger astrophysics). The Einstein Toolkit contains about 400 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 * Convert_to_HydroBase and ID_converter_ILGRMHD are deprecated, as their functionality has been incorporated into IllinoisGRMHD * Many IllinoisGRMHD parameters are deprecated, as they are now controlled by GRHayLib Contributors Among the many contributors to the Einstein Toolkit and to this release in particular, important contributions to new and existing components were made by the following authors: * Alexandru Dima * Cheng-Hsin Cheng * Erik Schnetter * Gabriele Bozzola * Hayley Macpherson * Helvi Witek * Jake Doherty * Jay Kalinani * Krishiv Bhatia * Leonardo Werneck * Liwei Ji * Lucas Timotheo Sanches * Michail Chabanov * Roland Haas * Samuel Cupp * Samuel Tootle * Steven R. Brandt * Swapnil Shankar * Wolfgang Tichy * Zach Etienne How to upgrade from Meitner Release (ET_2023_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) on the Einstein Toolkit website for download instructions. The SelfForce-1D code uses a single git repository; thus, using git pull; git checkout ET_2024_05 will update the code. To install Kuibit, do the following: pip install --user -U kuibit==1.5.0 Machine notes Supported (tested) machines include: * Debian, Ubuntu, Fedora, Mint, OpenSUSE, and macOS installations with dependencies installed as prescribed in the official installation instructions * Anvil * Deep Bayou * Supermike * Queen Bee 3 and 4 * Delta * Expanse * Frontera * Sunrise 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. All repositories participating in this release carry a branch ET_2024_05 marking this release. These release branches will be updated if severe errors are found. The "Lev Landau" Release Team on behalf of the Einstein Toolkit Consortium (2024-06-28) * Steven R. Brandt * Roland Haas * Peter Diener * Lorenzo Ennoggi * Deborah Ferguson * Liwei Ji * Jay Kalinani * Lucas Timotheo Sanches * Bing-Jyun Tsao * Maxwell Rizzo * Dhruv Srivastava * Terrence Pierre Jacques June 28, 2024

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meeting minutes for 2024-06-27
by Roland Haas 27 Jun '24

27 Jun '24

Present: Steve, Roland, Johnny, Keith, Lucas, Peter ET Release ========== * Baikal does not regenerate identical code, generated code fails at least one test * will release with not-regenerated code in order to meet AMS meeting deadline * release is anticipated Friday June 27 Gallery run =========== * BBH: Deborah will run * BNS: Dhruv has run, will update website * Poisson: Steve has run * Scalar wave: Lucas has run, has provided more details in gallery to make it easier to reproduce * TOV: Maxwell has run, is working on plots Steve added Lucas to release team List of machines ================ * Johnny will run on Frontera * Roland will run delta, expanse, golub * Maxwell has set up Anvil but not tested yet * Peter ran Sunrise * Steve will run LSU machines Release announcement draft ========================== Available at https://einsteintoolkit.org/about/releases/ET_2024_05_announcement.md if need to comment do so ASAP (release may be as early as tomorrow) Unanswered questions ==================== * ET on COSMA at Durham, http://lists.einsteintoolkit.org/pipermail/users/2024-June/009372.html Roland will No meeting next week (July 4th). Will meet during EU ET summer school and workshop. Yours, Roland -- My email is as private as my paper mail. I therefore support encrypting and signing email messages. Get my PGP key from http://pgp.mit.edu .

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ET on COSMA, Durham
by Rhiannon Silva 27 Jun '24

27 Jun '24

Hi, I need to set up Simulation Factory for using the Einstein Toolkit on the COSMA supercomputer at Durham University (UK). I'm wondering if anyone has used ET on COSMA before and, if so, if I could use their simfactory mdb files, please. Thanks, Rhiannon.

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Einstein Toolkit Meeting Reminder
by rhaas＠illinois.edu 26 Jun '24

26 Jun '24

Hello, Please consider joining the weekly Einstein Toolkit phone call at 9:00 am US central time on Thursdays. For details on how to connect and what agenda items are to be discussed, use the link below. https://docs.einsteintoolkit.org/et-docs/Main_Page#Weekly_Users_Call --The Maintainers

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Agenda for Thursday's Meeting
by rhaas＠illinois.edu 24 Jun '24

24 Jun '24

Please update the Wiki with agenda items for Thursday's meeting. Thanks! https://docs.einsteintoolkit.org/et-docs/meeting_agenda --The Maintainers

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meeting minutes for 2024-06-20
by Roland Haas 20 Jun '24

20 Jun '24

Present: Roland, Steve, Lucas, Peter, Keith, Sam, Zach ET release ========== * Steve is running tests on LSU machines * draft of ET release announcement in https://einsteintoolkit.org/about/releases/ET_2024_05_announcement.md * will confirm with champions that all those who contributed to the contributed code and the release are recorded kuibit release ============== * will try to include in release * major update is reading openPMD files, as output by CarpetX ET CI tests failing =================== * Roland provided an update on issue with CI server, due to bokeh version update Gallery tests ============= multipatch example: * Lucas encountered issues with instructions, will provide updates * has Python script for plotting, which should be less fragile than session files * Roland mentions that there is a "Open Session with Sources", which may help as well TOV star: * Roland reports that Maxwell should be working on them, will poke him Tickets ======= * no updates on #963: Improve McLachlan accuracy * will not make it into the release, #2776: zlib: also use pkg-config when searching for installed version * discussed "#2789: Citation suggestion for Kranc", consensus is that 2006 paper is most appropriate, but no response from authors yet Yours, Roland -- My email is as private as my paper mail. I therefore support encrypting and signing email messages. Get my PGP key from http://pgp.mit.edu .

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Einstein Toolkit Meeting Reminder
by rhaas＠illinois.edu 19 Jun '24

19 Jun '24

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New release of kuibit (now with support for OpenPMD files)
by Gabriele Bozzola 19 Jun '24

19 Jun '24

Dear Einstein Toolkit community, kuibit 1.5.0 was just released. kuibit 1.5.0 comes with one big feature and one important fix. The fix is for the (unmaintained) tikzplotlib package, which stopped working with recent versions of matplotlib. This led to problems with using the `visualize` module in kuibit. Second, more excitingly, kuibit now comes with experimental support for reading OpenPMD grid files, such as the ones produced by CarpetX. This is the result of the impressive year-long effort by high-school student Krishiv Bhatia, supervised by Erik Schnetter and Lucas Carneiro. kuibit abstractions work in the same way regardless of the file format (ASCII, HDF5, or OpenPMD). For example, the following piece of code plots a equatorial slice of a 3D field: ``` import kubit sd = SimDir("PATH_TO_SIM_OUTPUT") iteration_num = 0 kuibit.visualize_matplotlib.plot_color(sd.gf.xyz["my_var"][iteration_num].sliced(cut=[None, None, 0]), shape = [100, 100]) ``` Support for reading OpenPMD files should be considered experimental at this point. Please, report any issue you might find. https://github.com/Sbozzolo/kuibit Best, Gabriele

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New Testing Framework for Individual Einstein Toolkit Thorns
by Zach Etienne 18 Jun '24

18 Jun '24

Einstein Toolkit community: I have completed a new, automated, and fast framework for testing individual or small groups of thorns within the Einstein Toolkit. Although it is developed with GitHub Actions in mind, it can be run locally. As I believe this may be useful for the community, I am sharing all the details in this email. While the framework is developed for thorns generated with NRPy2, it can be simplified fairly straightforwardly for thorns developed by hand. Here's how it works: With each push to the NRPy2 `main` branch, the following happens (as documented here: https://github.com/nrpy/nrpy/blob/main/.github/workflows/main.yml#L136): GitHub Actions first downloads an Apptainer (formerly Singularity) SIF image I have prepared here: https://github.com/nrpy/einsteintoolkit_ci_images/releases. The above image contains a recent (24.04) Ubuntu distribution with two pieces of software installed in /opt: 1. A *compiled* version of a recent (pre-2024-06 release) version of the Einstein Toolkit, with Baikal*, IllinoisGRMHD, WaveToyNRPy, and all other required thorns. 2. A recent NRPy2. After downloading the above image, Actions runs a script that pulls the latest NRPy2 main branch, generates Baikal* and WaveToyNRPy thorns, overwrites these thorns in the Einstein Toolkit, and then compiles them within the Toolkit. Since other thorns are not compiled, this is a very quick check to ensure that updates to NRPy2-generated thorns do not break the compilation. Finally, the Einstein Toolkit testsuite is run on each of these thorns. If any of the above steps ({download, thorn generation, compilation, testsuite}) fail, then GitHub Actions fails and it automatically sends me an unpleasant email. We plan to extend the framework to CarpetX (Baikal*X and WaveToyNRPyX thorns) in the coming months, probably with a separate Apptainer image. Please feel free to use the Apptainer image available at https://github.com/nrpy/einsteintoolkit_ci_images/releases, or the script available at https://github.com/nrpy/nrpy/blob/main/.github/workflows/main.yml#L136 if you may find it useful. Everything here is open source. This complements the very nice existing Einstein Toolkit testing framework ( https://einsteintoolkit.github.io/tests/), which builds the entire Toolkit automatically after any ET thorn or the flesh is updated. The full build requires about 90 minutes, whereas my testing framework is more limited in scope and completes in under 10 minutes (as it focuses only on a small collection of thorns). -Zach * * * Zachariah Etienne Assoc. Prof. of Physics, U. of Idaho Adjunct Assoc. Prof. of Physics & Astronomy, West Virginia U. https://etienneresearch.com https://blackholesathome.net

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Re: [Users] Using FUKA ID's in ETK
by Jason Alarcon 18 Jun '24

18 Jun '24

Hello, I fixed the issue. I for some reason placed the ID as the parfile. However, starting the simulation segment ends short when the thorn Kadath_Importer cannot be found. The parfile I am using includes it as an active thorn and the thornlists seemed to have included in both KadathImporter and KadathThorn. KadathThorn also fails to be found when included in the parfile. I have included both the output and parfile below for a BBH setup: Best regards, Jason Alarcon

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