leonarski_f
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This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use. * jfjoch_process: Major rotation (rot3d) data processing overhaul - robust profile-fit integration, Cauchy-loss scaling with optional absorption surface, de-novo indexing and space-group/centering determination fixes, and merging statistics + ISa in the mmCIF output. * jfjoch_process: Add EXPERIMENTAL ice-ring detection (--detect-ice-rings) that excludes ice reflections from scaling. * Compression: Add BSHUF_ZSTD_RLE_HUFF, make compression size-aware (drop frames that don't fit rather than aborting), and add the jfjoch_recompress tool. * jfjoch_viewer: Report "Multiple lattices detected" and grey out "Analyze dataset" on a live connection. * jfjoch_broker: Write smargon chi/phi goniometer positions to NXmx; read sensor thickness/material from HDF5 metadata. * CI: Build Windows (CUDA and non-CUDA) installers.Reviewed-on: #66 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
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2.6 KiB
Markdown
44 lines
2.6 KiB
Markdown
# Software requirements
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## Operating system
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Recommended operating system is Red Hat Enterprise Linux (RHEL) / Rocky Linux versions 8 or 9.
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For this operating systems we provide RPMs with pre-built binaries to simplify deployment.
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On experimental basis we also build repositories for Ubuntu 22.04 and 24.04.
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Running Jungfraujoch on Red Hat Enterprise Linux 7 is currently not tested and not recommended,
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but likely possible with providing some packages from external repositories.
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The desktop viewer `jfjoch_viewer` (only) can additionally be built on **Windows 11** with Visual
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Studio 2026 (MSVC), CUDA 13.3 and Qt 6.11 — see
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[jfjoch_viewer ▸ Building from source on Windows](JFJOCH_VIEWER.md#building-from-source-on-windows).
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The Windows installer bundles the Qt runtime, and on the CUDA build the CUDA runtime (cuFFT) as
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well, so end users need neither Qt nor a CUDA toolkit installed — only an NVIDIA GPU driver for the
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GPU path. The rest of Jungfraujoch is Linux-only.
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## Software dependencies
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Required:
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* C++20 compiler and C++20 standard library; recommended GCC 11+ or clang 14+ (Intel OneAPI, AMD AOCC)
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* CMake version 3.26 or newer + a build tool (GNU make or Ninja)
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* zlib compression library
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* Eigen (header-only linear algebra library), version 3.4.x (the build requests `Eigen3 3.4`, which
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Eigen's same-major-version rule does not satisfy with 5.x)
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HDF5, libtiff and libjpeg-turbo used to be required system packages; they are now downloaded and
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built automatically by CMake (see the note below), so they no longer need to be installed.
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Optional:
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* CUDA compiler version 12.8 or newer - required for the MX fast feedback indexer and GPU analysis
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* FFTW library - for indexing if GPU/CUDA is absent (also auto-downloaded by CMake)
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* Node.js - to build the frontend
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* Qt version 6 (for jfjoch_viewer)
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Many further dependencies (spdlog, Zstandard, HDF5, slsDetectorPackage, libzmq, libtiff,
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libjpeg-turbo, Ceres, the fast feedback indexer, Catch2, ...) are downloaded automatically
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by CMake and statically linked; building therefore requires network access on the first configure.
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zlib and Eigen are the exception — they must be preinstalled (found via `find_package`); on Windows,
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where they are not present system-wide, install them into a prefix and point `CMAKE_PREFIX_PATH` at
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it (see [Building from source on Windows](JFJOCH_VIEWER.md#building-from-source-on-windows)).
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Others are vendored directly in the source tree. The complete list of third-party components, with
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copyright holders, licenses and verbatim license texts, is in
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[Third-party software notices](THIRD_PARTY_NOTICES.md) and the `licenses/` directory.
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