* rugnux now tells you whether a crystal diffracts anisotropically and how far it reaches in each direction, without a second program: a new `9. DIFFRACTION ANISOTROPY` section in `<prefix>_report.txt` and matching `_reflns.pdbx_aniso_B_tensor_*` / `_reflns.jfjoch_aniso_*` items in the merged mmCIF report the anisotropic deltaB, the diffraction limit along each principal direction, and a `NOT DETECTED` / `DETECTED` / `CANNOT DETERMINE` verdict measured against the data set's own systematic error. It is a description only - no intensity is corrected, no reflection is removed, and the merged data do not depend on direction.
* rugnux can hand its integrated observations to another scaling program: `--export-unmerged` writes `<prefix>_unmerged.mtz`, an unmerged MTZ readable by aimless, pointless, careless and `iotbx.merging_statistics`, in `--mode mx` and `--mode scale` alike. Each rotation reflection's partials are summed into one full; `--export-unmerged-partials` writes one row per image instead. Intensities carry the Lorentz-polarization factor and nothing else, since those programs scale the data themselves. Lattice-centring absences are not written; screw and glide absences are.
* rugnux integrates crystals with broad spots better - where it changes anything, per-shell mean I/sigma improves by up to 31% and R_meas by up to 24% - because on rotation data the integration signal radius is now taken from the crystal's own measured spot width instead of a fixed 4 px. `--adaptive-integration-radius=off` restores the fixed radius and an explicit `--integration-radius` still overrides both. The widened radius applies to the final integration pass only, and a pattern too dense for it is re-integrated at 4 px with a note in the log.
* rugnux discards fewer stills reflections for want of a background ring, improving per-shell R_meas over most of the signal-bearing range: the stills background ring now runs to 14 px instead of 12. The gain reverses in shells below a mean I/sigma of about 4.
* rugnux determines the space group with thresholds that mean the same thing on a weak crystal as on a strong one: symmetry operators are scored on resolution-normalised intensities (E squared) instead of raw merged intensities, and a reflection counts as genuinely present on its counting significance instead of on the merged I/sigma, which saturates at the merge's own ISa. The search resolution cut is no longer able to move the answer, and the twin-law H bound moves from 1.70 to 1.85, which stops one class of correct high-symmetry assignment being refused as twinning.
* rugnux says what the space-group search tested and what it could not: the twin-law disagreement H is printed for every operator together with the adopted point group's H ratio and its bound; alternatives that are not on the reported lattice are named with how their cell differs; and a lattice centring the data could not test - the crystal having been integrated on the primitive sub-cell, so the reflections it extinguishes were never measured - is marked `UNTESTED` and warned about where it is adopted, as coming from the lattice metric rather than from the intensities.
* rugnux `--mode scale` re-merges a `_process.h5` in the right symmetry without being told it: the file now records the space group on every run - a two-pass rotation run wrote none before, so re-merging defaulted to P1 - together with the change of basis under `/entry/MX/reindexMatrix` where the lattice was re-seated, and `--mode scale` also reports the Wilson B-factor estimate instead of `WILSON_B= nan`. A file written before this stops with a message naming the two cells and the override to use, instead of failing inside the merge. A third-party reader of a `_process.h5` must apply `reindexMatrix` where it is present.
* rugnux installs on its own, as a package called `rugnux` - `dnf install rugnux` or `apt install rugnux` - instead of arriving inside `jfjoch-viewer`. It pulls in none of the acquisition stack, so a machine that only processes data no longer has to carry the broker, the detector libraries or Qt to get it. Installing it over a `jfjoch-viewer` from rc.163 or earlier, which still owns `/usr/bin/rugnux`, upgrades cleanly rather than failing on the duplicate file.
* rugnux is also a standalone download, built for arm64 as well as x86_64: `rugnux-<version>-linux-{x86_64|aarch64}-cuda<major>.tgz` and `rugnux-<version>-win64-cuda<major>.zip` on the release page, for machines that are not managed by a package manager. The aarch64 build targets GH200 and DGX Spark, and is untested on hardware.
* Every portable Linux binary is now a single self-contained file: cuFFT is linked statically instead of being shipped beside the executable and found through an rpath, so `rugnux` and `jfjoch_viewer` need nothing but an NVIDIA driver, and only to use the GPU. The `.rpm`/`.deb` continue to take cuFFT from the distribution. The developer utilities `jfjoch_extract_hkl` and `jfjoch_recompress` are no longer packaged anywhere.
* Jungfraujoch needs six fewer shared libraries on the machine - libopenblas and libmetis, and libgfortran, libquadmath, libgomp and libz behind them - because the Ceres LAPACK, METIS and SuiteSparse back-ends are no longer built. Nothing in the code ever selected them, and results are unchanged.
* The PCIe driver DKMS package builds for the kernel it is being installed for instead of the running one, so a module built while a kernel update is being applied loads after the reboot.
* The PCIe driver builds on RHEL 9.5 and later, and on their CentOS Stream, Rocky and AlmaLinux equivalents, where the `vm_flags` kernel interface was backported into the 5.14 kernel.
* A data collection started with `async_start` that fails to start - a writer refusing to overwrite an existing file, for instance - is reported as an error by `/wait_until_running` and `/wait_till_done` instead of as a timeout and a successful collection respectively. The error message is the one the writer gave.
* A calibration that is cancelled or that fails to collect its pedestals is no longer reported as a successful one. The broker goes to `Inactive` with an error message and has to be initialized again, instead of sitting in `Idle` looking ready to measure while holding partial pedestals - data collected in that state was silently mis-converted.
* A failed `/initialize` is reported to `/wait_until_running` and `/wait_till_done` as soon as it happens, instead of when their timeout expires.
* `space_group_number` accepts space groups up to 230 in the API schema, so cubic space groups can be recorded. The broker always accepted them; the generated clients rejected them before the request was sent.
* The results report's `REPORT_VERSION` is 3, two sections having been added. Existing key names and table columns are unchanged.
* The merged statistics table has **9** resolution shells instead of 10, which is what XDS reports. The bins were already XDS's - equal steps in 1/d^2 between the lowest- and the highest-resolution reflection the merge kept - so at the same resolution limits the two tables now have the same shell boundaries and can be read row for row. `--resolution-shells` sets a different count.
* `rugnux --model` now settles the frame the merged reflections are written in, not only the frame the R-factors and the maps are computed in: the `.mtz`/`.cif`/`.hkl` come out in the model's indexing, and where the data were merged in the model's enantiomorph they take the model's hand and space group - which on anomalous data puts I(+) and I(-) the right way round. The indexing choice is logged with the winning R-free and the runner-up, so a decision made within noise is visible.
* `rugnux --model` can resolve the indexing ambiguity of a **serial stills** run, which a model could not do before: structure factors computed from the model become the per-image reference, the same role a reference MTZ plays. It needs the cell and space group up front (`-C` / `-S`). Without one or the other, a merohedral serial run still merges both hands together and says so.
* The rugnux documentation opens with a quick start - the default run, and runs with a reference MTZ, with a model, or with the space group and cell pinned - and explains the indexing ambiguity: what it costs on rotation and on serial data, and which of `-z` / `--model` resolves it in each case. The long reference pages now carry a table of contents.
Reviewed-on: #74
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
3.0 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.
Two programs additionally run on Windows 11: the desktop viewer jfjoch_viewer, shipped as a
pre-built installer, and rugnux, the offline analysis CLI, shipped as a .zip. Both
can be built from source with Visual Studio 2026 (MSVC) and CUDA 13.3 — the viewer additionally
needs Qt 6.11; see
jfjoch_viewer ▸ Building from source on Windows.
The Windows artefacts bundle the Qt runtime (viewer only) and, on the CUDA builds, the cuFFT DLL, so
end users need neither Qt nor a CUDA toolkit installed — only an NVIDIA GPU driver for the GPU path.
On Linux the portable archives link CUDA entirely statically and so need nothing but the driver.
rugnux is also built for 64-bit Arm Linux (GH200, DGX Spark). The rest of Jungfraujoch is
Linux-only and x86-64-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.