leonarski_f
749db470ca
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* 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>
49 lines
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49 lines
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# 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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Two programs additionally run on **Windows 11**: the desktop viewer `jfjoch_viewer`, shipped as a
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pre-built installer, and [`rugnux`](RUGNUX.md), the offline analysis CLI, shipped as a `.zip`. Both
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can be built from source with Visual Studio 2026 (MSVC) and CUDA 13.3 — the viewer additionally
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needs 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 artefacts bundle the Qt runtime (viewer only) and, on the CUDA builds, the cuFFT DLL, so
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end users need neither Qt nor a CUDA toolkit installed — only an NVIDIA GPU driver for the GPU path.
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On Linux the portable archives link CUDA entirely statically and so need nothing but the driver.
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`rugnux` is also built for **64-bit Arm Linux** (GH200, DGX Spark). The rest of Jungfraujoch is
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Linux-only and x86-64-only. See [Release contents](RELEASE_CONTENTS.md) for the CPU baseline and
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CUDA requirements of each released package.
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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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