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**Files written by Jungfraujoch now import correctly in DIALS, XDS and pyFAI.** A tilted detector, a grid scan, a still recorded at a goniometer position, and saturated or unreadable pixels were each described in a way that a third-party program acted on wrongly. If you process Jungfraujoch data outside Jungfraujoch, prefer this release to any earlier one. * HDF5: the detector tilt (`rot1`/`rot2`/`rot3`) is exported correctly in the NXmx transformation chain; untilted geometries are unaffected. * HDF5: a still recorded at a goniometer position is no longer read back as a single image, and a grid scan records a stationary spindle so a program that requires a rotation axis can open it. * HDF5: the sample transformation chain is written in mounting order, with a Smargon head position told apart from the spindle, one entry per image, `module_offset` as a float unit vector, and `offset_units` on every offset. * HDF5: saturated, underloaded and unreadable pixels are described so a downstream program masks them - `saturation_value`, `underload_value`, `error_value` and `bit_depth_readout` are written correctly, and a data file missing next to a VDS master reads as the error marker rather than as zero counts. * HDF5: the rotation axis is read back under whatever name it carries, and `mirror_y` records whether the assembled image is mirrored in Y relative to the detector's raw readout. * A grid scan and a goniometer axis can both be set; they are no longer alternatives. * `images_per_file` is chosen from the acquisition when it is not given: a rotation sweep of at most 20000 images goes into a single data file, a grid scan splits on whole fast-axis rows, and stills and serial keep 1000. * The writer refuses a stream whose start message declares a different pixel format than its images carry, and a DECTRIS detector sending signed images is no longer declared unsigned. * The image stream can carry the sample transformation chain (`transformations`, in the END message); a producer that does not send it gets the same chain built by the writer. * rugnux: fixing the space group with `-S` no longer prevents the lattice from being found - a lattice indexed in a different setting is reindexed into that group's own setting, and a run whose crystal does not have that group's lattice stops and names the cell it indexed as, rather than reporting statistics that cannot describe it. * rugnux: the per-image resolution estimate now predicts the resolution the merged data reach rather than the highest-resolution spot found, and is reported as `SPOT_RESOLUTION_ESTIMATE`. * rugnux: two runs of the same command on the same images produce the same merged intensities; the azimuthal profile written alongside them is not yet reproducible in the same way. * rugnux: the offline lattice refinement is bounded by iterations rather than by a wall clock, so a loaded machine can no longer refine to a different lattice; a live acquisition keeps its real-time bound. * rugnux: the detector-frame modulation correction is fitted on a grid spanning the detector, so whether it is applied no longer depends on how far integration reached. * rugnux: the geometry pre-pass no longer writes `<prefix>_01.mtz`, `_01.cif`, `_01.hkl` and `_01_image.dat`; the refined second pass writes those files under `<prefix>`, and that is the result to use. * rugnux: `_process.h5` describes the pixel format of the images it links to, and is written on a thread of its own. * rugnux: the detector geometry is also logged in XDS's convention (`ORGX`/`ORGY`, detector axis vectors, rotation axis), so it can be compared with an XDS refinement. * rugnux: an image integrated in pyFAI through the `.poni` file written by `--mode calibration` comes out with the correct azimuth, and the file declares pyFAI's `orientation`, which needs pyFAI 2024.01 or newer. Radial integration is unchanged. * rugnux: a rotation run is substantially faster throughout - beam-stop detection, first-pass indexing, geometry refinement, integration, scaling and merging - and observations outside the scaling resolution range are dropped as they are ingested. The refined geometry, the space group chosen and the merged statistics are unchanged. * Faster spot finding and indexing, on the broker as well as in rugnux; the spots found and the lattices indexed are unchanged. * A run reserves substantially less GPU memory: nothing is allocated for buffers that are never read, and a worker builds only the engines it uses. * rugnux: with `-N` left at its default the per-image loop of `--mode mx` uses at most 16 workers per GPU, rather than one per hardware thread; an explicit `-N` is obeyed as given. * CUDA 12 builds now contain device code for Volta, so the RHEL 8 packages and the portable Linux `.tgz` run on a V100; the CUDA 13 artefacts (RHEL 9, Ubuntu, Windows) remain Turing and newer. * The build resolves a single Eigen for the whole project, and refuses to configure if Ceres picks up a different one; a build that mixed two Eigen versions was undefined behaviour and crashed at -O2. * Documentation: a security page, and the supported GPU generations and minimum NVIDIA driver version of every released artefact. **Breaking change to OpenAPI** - regenerate the client (`jfjoch-client` 1.0.0-rc.162, `frontend/src/client`): * `dataset_settings.images_per_file` is no longer `default: 1000` and no longer accepts `0`; it is optional, and its minimum is 1. A client sending `0` (previously "one file for the whole run") is now rejected - omit the field instead, which for a rotation sweep gives the same single file. * `file_writer_format` now defaults to `NXmxVDS`, matching the server's own default and the layout recommended for DIALS, XDS and CrystFEL. A generated client that fills in schema defaults and does not set the format explicitly will write VDS masters where it previously wrote legacy ones; set `NXmxLegacy` explicitly to keep them. --------- Co-authored-by: jungfrau <jungfrau@mx-aare-test.psi.ch> Reviewed-on: #72 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
429 lines
14 KiB
C++
429 lines
14 KiB
C++
// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#pragma once
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#include <string>
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#include <cstdint>
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#include <map>
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#include <vector>
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#include <optional>
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#include <cstring>
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#include <stdexcept>
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#include <nlohmann/json.hpp>
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#include "CompressedImage.h"
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#include "SpotToSave.h"
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#include "UnitCell.h"
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#include "GoniometerAxis.h"
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#include "DetectorTransformation.h"
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#include "GridScanSettings.h"
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#include "Reflection.h"
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#include "CrystalLattice.h"
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#include "IndexingSettings.h"
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#include "XrayFluorescenceSpectrum.h"
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#include "../gemmi_gph/gemmi/symmetry.hpp"
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constexpr const uint64_t user_data_release = 6;
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constexpr const uint64_t user_data_magic_number = 0x52320000UL | user_data_release;
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enum class CBORImageType {START, END, IMAGE, CALIBRATION, METADATA, NONE};
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enum class FileWriterFormat : int {
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DataOnly = 0,
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NXmxLegacy = 1,
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NXmxVDS = 2,
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NXmxIntegrated = 3,
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// 4 (CBF) and 5 (TIFF) removed - only HDF5 is written now. The values are kept
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// (deprecated) in the OpenAPI enum in broker/jfjoch_api.yaml for back compatibility.
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NoFile = 6
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};
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struct ROIConfigBox {
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int64_t xmin, xmax, ymin, ymax;
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};
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struct ROIConfigCircle {
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double r, x, y;
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};
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struct ROIConfigAzim {
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double qmin, qmax;
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// Azimuthal-angle sector in degrees; phi_min == phi_max means full ring.
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float phi_min, phi_max;
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};
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struct ROIConfig {
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enum class ROIType {Box, Circle, Azim} type;
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std::string name;
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union {
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ROIConfigBox box;
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ROIConfigCircle circle;
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ROIConfigAzim azim;
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};
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};
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struct ROIMessage {
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int64_t sum;
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uint64_t sum_square;
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int64_t max_count;
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uint64_t pixels;
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uint64_t pixels_masked; // only used in the viewer for now
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int64_t x_weighted;
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int64_t y_weighted;
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};
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struct LatticeMessage {
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char centering;
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int64_t niggli_class;
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gemmi::CrystalSystem crystal_system;
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};
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struct SmargonPosition {
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float phi_deg = 0;
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float chi_deg = 0;
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Coord chi_axis = {0, 0, 1};
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Coord phi_axis = {1, 0, 0}; // Default omega axis
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};
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struct DataMessage {
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int64_t number = INT64_MIN;
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CompressedImage image;
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std::optional<uint64_t> packets_expected;
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std::optional<uint64_t> packets_received;
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std::optional<float> image_collection_efficiency;
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std::optional<float> processing_time_s;
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std::optional<float> spot_finding_time_s;
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std::optional<float> azint_time_s;
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std::optional<float> indexing_time_s;
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std::optional<float> refinement_time_s;
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std::optional<float> bragg_prediction_time_s;
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std::optional<float> integration_time_s;
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std::optional<float> preprocessing_time_s;
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std::optional<float> compression_time_s;
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std::optional<float> index_analysis_time_s;
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std::optional<float> image_scale_time_s;
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std::vector<SpotToSave> spots;
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std::optional<int64_t> spot_count;
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std::optional<int64_t> spot_count_ice_rings;
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// Spots in the ICE-FREE control flanks either side of the hexagonal rings, rescaled to the ring
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// bands' own q width - so spot_count_ice_rings / spot_count_ice_control is 1 when spots are spread
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// evenly and > 1 when they pile up on the rings. Pooled over the run (a ratio of two per-image
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// counts this small is meaningless on its own image), it is the second ice channel: TEXTURED ice
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// arrives as discrete spots and leaves the radial profile - and so ice_ring_score - flat.
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std::optional<float> spot_count_ice_control;
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std::optional<int64_t> spot_count_low_res;
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std::vector<float> spot_plot_count;
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std::vector<float> spot_plot_intensity;
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std::vector<float> spot_plot_one_over_d_square;
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std::vector<float> az_int_profile;
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std::vector<float> az_int_profile_std;
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std::vector<uint64_t> az_int_profile_count;
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std::optional<float> bkg_estimate;
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std::optional<float> ice_ring_score; // strongest ice ring over the smooth radial background (1 = none)
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std::optional<bool> indexing_result;
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std::optional<CrystalLattice> indexing_lattice;
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std::vector<CrystalLattice> indexing_extra_lattices;
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std::optional<int64_t> indexing_lattice_count;
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std::optional<UnitCell> indexing_unit_cell;
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std::optional<int64_t> spot_count_indexed;
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std::optional<float> profile_radius;
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std::optional<float> mosaicity_deg;
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std::optional<float> b_factor;
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std::vector<uint64_t> adu_histogram;
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std::optional<int64_t> integrated_reflections;
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uint64_t timestamp;
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uint32_t timestamp_base;
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uint32_t exptime;
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uint32_t exptime_base;
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std::string run_name;
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uint64_t run_number;
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std::optional<int64_t> pixel_sum;
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std::optional<int64_t> saturated_pixel_count;
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std::optional<int64_t> error_pixel_count;
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std::optional<int64_t> strong_pixel_count;
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std::optional<int64_t> min_viable_pixel_value;
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std::optional<int64_t> max_viable_pixel_value;
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std::optional<float> resolution_estimate;
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nlohmann::json user_data;
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std::optional<uint64_t> jf_info;
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std::optional<uint64_t> receiver_aq_dev_delay;
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std::optional<uint64_t> receiver_buf_available;
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std::optional<uint64_t> receiver_buf_in_sending;
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std::optional<uint64_t> receiver_buf_in_preparation;
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std::optional<uint64_t> storage_cell;
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std::optional<uint64_t> xfel_pulse_id;
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std::optional<uint64_t> xfel_event_code;
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std::map<std::string, ROIMessage> roi;
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std::optional<int64_t> original_number;
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std::vector<Reflection> reflections;
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std::vector<float> integration_B_logI;
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std::vector<float> integration_B_one_over_d_square;
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std::vector<float> integration_Isigma;
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std::vector<float> integration_Isigma_one_over_d_square;
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std::optional<float> beam_corr_x;
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std::optional<float> beam_corr_y;
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std::optional<LatticeMessage> lattice_type;
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std::optional<float> image_scale_factor;
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std::optional<float> image_scale_cc;
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std::optional<float> image_scale_mosaicity;
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std::optional<float> compression_ratio;
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};
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struct HDF5DataSourceMessage {
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std::string filename;
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std::string dataset = "/entry/data/data";
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uint64_t source_first_image = 0;
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uint64_t virtual_first_image = 0;
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uint64_t image_count = 0;
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};
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struct StartMessage {
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float detector_distance;
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float beam_center_x;
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float beam_center_y;
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uint64_t number_of_images;
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std::optional<uint64_t> images_per_trigger;
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uint64_t image_size_x;
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uint64_t image_size_y;
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// Whether the assembled image is mirrored in Y relative to the detector's raw readout. True is
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// the MX convention - row 0 at the top of the detector, seen from the sample - and is what
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// Jungfraujoch has always produced, so it is also what absence of the field means.
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bool mirror_y = true;
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uint64_t bit_depth_image; // user data
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std::optional<uint64_t> bit_depth_readout;
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bool pixel_signed; // user data
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bool countrate_correction_enabled;
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float incident_energy;
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float incident_wavelength;
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std::optional<float> incident_wavelength_spread; // NXmx incident_wavelength_spread: FWHM of dlambda (Angstrom)
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float frame_time;
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float count_time;
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int64_t saturation_value;
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std::optional<int64_t> error_value;
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std::optional<int64_t> underload_value; // NXmx: lowest valid value
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float pixel_size_x;
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float pixel_size_y;
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float sensor_thickness;
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std::string sensor_material;
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std::optional<UnitCell> unit_cell; // user data
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std::optional<uint64_t> space_group_number; // user data
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uint64_t max_spot_count; // user data
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uint64_t max_extra_lattices = 0;
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std::optional<uint64_t> storage_cell_number;
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uint64_t storage_cell_delay_ns;
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bool flatfield_enabled;
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bool pixel_mask_enabled;
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std::string arm_date;
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std::string sample_name; // user data
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std::string file_prefix; // user data
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int64_t images_per_file = 1; // user data
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std::vector<std::string> channels;
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std::string detector_description;
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std::string detector_serial_number;
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std::string run_name;
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uint64_t run_number;
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std::vector<std::string> gain_file_names;
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std::vector<ROIConfig> rois;
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std::optional<GridScanSettings> grid_scan;
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std::optional<GoniometerAxis> goniometer;
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float detector_translation[3];
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std::string source_type;
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std::string source_name;
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std::string instrument_name;
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uint64_t summation;
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std::vector<float> az_int_bin_to_q;
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std::vector<float> az_int_bin_to_two_theta;
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std::vector<float> az_int_bin_to_phi;
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std::optional<uint64_t> az_int_q_bin_count;
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std::optional<uint64_t> az_int_phi_bin_count;
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std::vector<uint16_t> az_int_map;
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std::map<std::string, std::vector<uint32_t>> pixel_mask;
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// Per-pixel ROI bitmask (converted geometry), bit i set for ROI i in rois.
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std::vector<uint16_t> roi_map;
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std::map<std::string, float> threshold_energy;
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std::optional<float> total_flux;
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std::optional<float> attenuator_transmission;
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std::optional<bool> write_master_file;
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std::optional<bool> write_images;
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nlohmann::json user_data;
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std::optional<float> data_reduction_factor_serialmx;
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std::string experiment_group;
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std::string jfjoch_release;
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std::optional<uint64_t> socket_number; // This is number of socket in ZeroMQ
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std::string writer_notification_zmq_addr; // Socket to inform detector on writer done
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std::optional<bool> jungfrau_conversion_enabled;
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std::optional<float> jungfrau_conversion_factor;
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std::optional<bool> geometry_transformation_enabled;
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std::optional<std::string> summation_mode;
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std::optional<bool> overwrite;
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std::optional<FileWriterFormat> file_format;
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std::optional<bool> xfel_pulse_id;
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std::optional<float> ring_current_mA;
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std::optional<float> sample_temperature_K;
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IndexingAlgorithmEnum indexing_algorithm;
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GeomRefinementAlgorithmEnum geom_refinement_algorithm;
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std::optional<float> poni_rot1;
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std::optional<float> poni_rot2;
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std::optional<float> poni_rot3;
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XrayFluorescenceSpectrum fluorescence_spectrum;
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std::optional<bool> detect_ice_rings;
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std::vector<HDF5DataSourceMessage> hdf5_source_data;
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std::optional<std::string> master_suffix;
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std::optional<SmargonPosition> smargon_position;
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};
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struct EndMessage {
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// The sample transformation chain, base first (see DetectorTransformation). Optional: when it is
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// empty the writer builds the same chain itself from the start message, so a producer that does
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// not send it loses nothing and the wire format needs no version bump. It lives in the END
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// message because a future producer will want to report where the stage actually WENT, and that
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// is only known once the run is over.
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std::vector<DetectorTransformation> transformations;
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uint64_t max_image_number; // Counting from 1, i.e. 0 = no images collected
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std::optional<uint64_t> images_collected_count;
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std::optional<uint64_t> images_sent_to_write_count;
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std::optional<uint64_t> max_receiver_delay;
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std::optional<float> efficiency;
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std::optional<float> indexing_rate;
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std::optional<float> bkg_estimate;
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std::optional<std::string> end_date;
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std::string run_name;
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uint64_t run_number;
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std::map<std::string, std::vector<float>> az_int_result;
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std::map<std::string, std::vector<uint64_t>> adu_histogram;
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uint64_t adu_histogram_bin_width;
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std::optional<LatticeMessage> rotation_lattice_type;
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std::optional<CrystalLattice> rotation_lattice;
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std::vector<CrystalLattice> rotation_extra_lattices;
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std::optional<UnitCell> unit_cell;
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// Space group determined by the offline analysis (overrides the start message when writing the
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// master, since it is only known after merging).
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std::optional<uint64_t> space_group_number;
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// Geometry refined by the offline analysis. When present these overwrite the master-file geometry
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// at finalization (rugnux writes the refined values; the broker leaves them empty and keeps the
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// user-provided StartMessage geometry). Beam centre in pixels, detector tilt (PONI rot1/2/3) in
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// radians, rotation axis as a unit vector.
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std::optional<float> refined_beam_center_x;
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std::optional<float> refined_beam_center_y;
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std::optional<float> refined_poni_rot1;
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std::optional<float> refined_poni_rot2;
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std::optional<float> refined_poni_rot3;
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std::optional<Coord> refined_rotation_axis;
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// Vectors with end result:
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std::vector<float> data_collection_efficiency;
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std::vector<int32_t> spot_count;
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std::vector<int32_t> spot_count_ice_ring;
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std::vector<float> spot_count_ice_control;
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std::vector<int32_t> spot_count_low_res;
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std::vector<int32_t> spot_count_indexed;
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std::vector<uint8_t> image_indexed;
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std::vector<int32_t> indexed_lattice_count;
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std::vector<float> v_bkg_estimate;
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std::vector<float> profile_radius;
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std::vector<float> mosaicity;
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std::vector<float> bFactor;
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std::vector<float> resolution_estimate;
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std::vector<int64_t> min_viable_pixel_value;
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std::vector<int64_t> max_viable_pixel_value;
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std::vector<int32_t> saturated_pixel_count;
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std::vector<int32_t> error_pixel_count;
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std::vector<int32_t> integrated_reflections;
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std::vector<uint8_t> niggli_class;
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std::vector<int64_t> pixel_sum;
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std::vector<float> image_scale_factor;
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std::vector<float> image_scale_cc;
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std::vector<float> image_scale_mosaicity;
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// Per-image ice strength. Note the name carries no v_ prefix, unlike v_bkg_estimate above - it
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// was shipped that way and the CBOR key is part of the stream format.
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std::vector<float> ice_ring_score;
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// Run mean of the above, the single "how icy was this dataset" number (1 = no ice). The
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// bkg_estimate scalar's counterpart; written to /entry/MX/iceRingScoreMean.
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std::optional<float> ice_ring_score_mean;
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// Per-image sweep-quality code: 0 = the image falls in no flagged range, otherwise 1 + the
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// SweepQualityReason of the range it falls in (image_analysis/scale_merge/Merge.h). Written to
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// /entry/MX/sweepQuality, with the vocabulary alongside it in /entry/MX/sweepQualityReasons.
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// Empty when the sweep-quality diagnostic did not run, so nothing could be looked for - which is
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// not the same as every image being clean. Offline (rugnux) only; the broker does not merge.
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std::vector<uint8_t> sweep_quality;
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std::vector<std::string> sweep_quality_reasons;
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};
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struct MetadataMessage {
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std::string run_name;
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uint64_t run_number;
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std::vector<DataMessage> images;
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};
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