Files
Jungfraujoch/docs/SOFTWARE.md
T
leonarski_f 538f3504d3
Build Packages / build:windows:nocuda (push) Successful in 20m4s
Build Packages / Unit tests (push) Skipped
Build Packages / build:viewer-tgz:cpu (push) Successful in 16m5s
Build Packages / build:viewer-tgz:cuda (push) Successful in 17m26s
Build Packages / build:rpm (rocky8_nocuda) (push) Successful in 27m46s
Build Packages / build:rpm (rocky9_nocuda) (push) Successful in 20m17s
Build Packages / build:rpm (ubuntu2204_nocuda) (push) Successful in 26m13s
Build Packages / build:rpm (ubuntu2404_nocuda) (push) Successful in 23m17s
Build Packages / build:rpm (rocky8_sls9) (push) Successful in 28m11s
Build Packages / build:rpm (rocky9_sls9) (push) Successful in 19m30s
Build Packages / build:rpm (rocky8) (push) Successful in 24m34s
Build Packages / build:rpm (rocky9) (push) Successful in 21m30s
Build Packages / build:rpm (ubuntu2204) (push) Successful in 23m33s
Build Packages / build:rpm (ubuntu2404) (push) Successful in 20m18s
Build Packages / DIALS test (push) Successful in 18m23s
Build Packages / XDS test (durin plugin) (push) Successful in 11m30s
Build Packages / XDS test (JFJoch plugin) (push) Successful in 10m16s
Build Packages / XDS test (neggia plugin) (push) Successful in 8m2s
Build Packages / Generate python client (push) Successful in 49s
Build Packages / Build documentation (push) Successful in 1m21s
Build Packages / Create release (push) Skipped
Build Packages / build:windows:cuda (push) Successful in 29m45s
v1.0.0.rc-161 (#71)
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.

* **rugnux: significantly better quality of results, and faster.** A large rework of integration, scaling, merging, geometry refinement and space-group determination, together with measurements the program previously made no attempt at - the direct beam before indexing, the beam stop, the goniometer rotation scale, and the stretches of a sweep the crystal did not deliver. A rotation dataset typically gains observations at better <I/sigma> and R_meas, and every `mx` and `scale` run writes a `<prefix>_report.txt` results report modelled on XDS's `CORRECT.LP`. Many defaults moved with it: spot detection is self-calibrating, beam-stop detection and rotation geometry post-refinement are on, resolution limits default to as far as the detector reaches, and ice-ring handling engages only where the crystal is measured to have ice.
* **jfjoch_viewer:** the beam-stop shadow, the detector calibration and the beam-centre measurement are reachable from "Analyze dataset"; the settings panel reports how the sample moved and how polarized the beam was; image rendering and interaction are faster.
* **Performance:** bitshuffle+LZ4 images are decoded on the GPU rather than on the host, with the bitshuffle inverse fused into preprocessing so the decompressed frame is never held in device memory.
* **Broker, writer, packaging and build:** image-slot lifetime and locking fixes, per-image datasets sized by the images actually written, the Debian/Ubuntu broker package renamed to `jfjoch`, and `image_analysis` compiling under MSVC again.

**Breaking change to the rugnux command line:**
* `--azint-only` and `--scale` are **removed**, replaced by `--mode azint` and `--mode scale`; the full pipeline is `--mode mx` and remains the default. A script passing the old flags now fails with the list of valid modes rather than silently running the wrong one.
* `-t`/`--stride` is **refused on rotation data**: skipping frames cuts every reflection's rocking curve, so the combined fulls and their partiality would be measured over frames the sweep never recorded. Select a contiguous range with `-s`/`-e` instead. `--mode azint` and `--force-still` still take a stride.

**Breaking changes to OpenAPI** - regenerate the client (`jfjoch-client` 1.0.0-rc.161, `frontend/src/client`) or read the affected fields as optional:
* `image_scale_b` is removed from the `plot_type` enum, so a client requesting that plot now gets an error rather than a curve.
* `azim_int_settings.high_q_recipA`, `spot_finding_settings.high_resolution_limit` and `spot_finding_settings.low_resolution_limit` are no longer `required`. All three mean "no limit at that end" when unset and are omitted from the response instead of carrying a placeholder value, which raises in a client generated from an rc.160-or-earlier spec. A value of 0 is still accepted and means the same thing.

**Breaking changes to the stored formats** - a consumer reading these fields must treat them as optional:
* The per-image image-scale B factor is no longer computed, so `/entry/MX/imageScaleBFactor` is absent from newly written HDF5 files and the corresponding key is absent from the CBOR DataMessage and END blocks. Files written by rc.160 and earlier still contain it and still open; nothing in the pipeline reads it any more.
* `_reflns.jfjoch_diffrn_ISa` now carries the whole-range `1/sqrt(a*b)` that XDS's ISa denotes, and the error-model `a` and `b` are reported in XDS's convention; the strong-reflection asymptote moves to `_reflns.jfjoch_diffrn_ISa_asymptotic`. **A file written by an earlier version carries the asymptote under the plain `ISa` name.**

Reviewed-on: #71
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-08-13 17:03:10 +02:00

2.8 KiB

Software requirements

Operating system

Recommended operating system is Red Hat Enterprise Linux (RHEL) / Rocky Linux versions 8 or 9. For this operating systems we provide RPMs with pre-built binaries to simplify deployment. On experimental basis we also build repositories for Ubuntu 22.04 and 24.04.

Running Jungfraujoch on Red Hat Enterprise Linux 7 is currently not tested and not recommended, but likely possible with providing some packages from external repositories.

The desktop viewer jfjoch_viewer (only) additionally runs on Windows 11, where it is shipped as a pre-built installer; it can also be built from source with Visual Studio 2026 (MSVC), CUDA 13.3 and Qt 6.11 — see jfjoch_viewer ▸ Building from source on Windows. The Windows installer bundles the Qt runtime, and on the CUDA build the CUDA runtime (cuFFT) as well, so end users need neither Qt nor a CUDA toolkit installed — only an NVIDIA GPU driver for the GPU path. The rest of Jungfraujoch is Linux-only. See Release contents for the CPU baseline and CUDA requirements of each released package.

Software dependencies

Required:

  • C++20 compiler and C++20 standard library; recommended GCC 11+ or clang 14+ (Intel OneAPI, AMD AOCC)
  • CMake version 3.26 or newer + a build tool (GNU make or Ninja)
  • zlib compression library
  • Eigen (header-only linear algebra library), version 3.4.x (the build requests Eigen3 3.4, which Eigen's same-major-version rule does not satisfy with 5.x)

HDF5, libtiff and libjpeg-turbo used to be required system packages; they are now downloaded and built automatically by CMake (see the note below), so they no longer need to be installed.

Optional:

  • CUDA compiler version 12.8 or newer - required for the MX fast feedback indexer and GPU analysis
  • FFTW library - for indexing if GPU/CUDA is absent (also auto-downloaded by CMake)
  • Node.js - to build the frontend
  • Qt version 6 (for jfjoch_viewer)

Many further dependencies (spdlog, Zstandard, HDF5, slsDetectorPackage, libzmq, libtiff, libjpeg-turbo, Ceres, the fast feedback indexer, Catch2, ...) are downloaded automatically by CMake and statically linked; building therefore requires network access on the first configure. zlib and Eigen are the exception — they must be preinstalled (found via find_package); on Windows, where they are not present system-wide, install them into a prefix and point CMAKE_PREFIX_PATH at it (see Building from source on Windows). Others are vendored directly in the source tree. The complete list of third-party components, with copyright holders, licenses and verbatim license texts, is in Third-party software notices and the licenses/ directory.