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* Rugnux: Performance improvements on GPU and CPU (more of the pre-scan and of scaling on the GPU, faster CPU spot finding and crystal refinement), with unchanged results. * Rugnux: More robust processing - patches of persistently hot pixels are masked, an inconsistent merge triggers a retry at the measured beam centre, and builds targeting different CPU levels give the same results. * Rugnux: Improved scaling and merging - reflections with an overloaded pixel are dropped, as in XDS, sparse rotation sweeps are scaled more reliably, and French-Wilson amplitudes use an anisotropic Wilson prior. * Rugnux: Improved space-group determination - glide planes in groups without a centre of symmetry, screw axes from short or weak axial rows kept when a higher group is adopted, and more reliable decisions on twinned and pseudo-symmetric crystals. * Rugnux: Improved small-molecule processing - spots that grow wider than the integration disk and split spots are integrated over their measured footprint, sparse lattices are integrated on every frame, and the `.hkl` file holds unmerged scaled reflections (SHELX HKLF 4). * Rugnux: Reads Rigaku d*TREK SMV images (Saturn CCD), including detector 2theta and encoded pixel overflows; home-source (rotating-anode) datasets were added to the validation battery. * jfjoch_viewer: Fixed processing failing at the end with "Wrong JPEG library version" on Linux; the merge window shows the space group with proper subscripts and a checklist of crystal pathologies. Reviewed-on: #84 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
79 lines
3.7 KiB
C++
79 lines
3.7 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 <optional>
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#include <span>
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#include "../common/GoniometerAxis.h"
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#include "../common/CrystalLattice.h"
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#include "../common/DiffractionGeometry.h"
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#include "../common/SpotToSave.h"
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#include "gemmi/symmetry.hpp"
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struct XtalOptimizerData {
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DiffractionGeometry geom;
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CrystalLattice latt;
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gemmi::CrystalSystem crystal_system = gemmi::CrystalSystem::Triclinic;
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int64_t min_spots = 8;
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float min_length_A = 5.0;
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float max_length_A = 500.0;
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float min_angle_deg = 60.0f;
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float max_angle_deg = 120.0f;
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bool refine_beam_center = true;
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bool refine_detector_angles = false;
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bool refine_unit_cell = true; // This refines unit cell size + angles - orientation is always refined
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bool refine_rotation_axis = false;
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bool index_ice_rings = true;
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// Weight each spot by how strong it is for its resolution, so that low-confidence spots contribute
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// without driving the fit (see SpotConfidenceWeights). Off by default: the indexers call this with a
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// spot list they have already selected, it is the per-image refinement that gets the raw list.
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bool weight_spots_by_confidence = false;
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// Stopping rule. max_iterations > 0 bounds the solver by ITERATIONS, which is reproducible;
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// otherwise it is bounded by max_time, wall-clock seconds, which is not - the same image refines
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// to a different answer on a busier machine. Online acquisition needs the wall-clock bound because
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// its budget is real; offline reprocessing wants the reproducible one.
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float max_time = 1.0;
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int max_iterations = 0;
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std::optional<GoniometerAxis> axis;
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// The rocking geometry, for the acceptance gate's dead zone alone - NOT for back-rotation. A
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// refinement that holds a single frame does not back-rotate (the frame's angle is a gauge its
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// orientation block absorbs) and so passes no `axis`, but the spots on that frame still
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// diffracted at different angles spanning the exposure, and the gate still has to be told it
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// does not know which. Left unset - or a wedge below the coarse-slicing trigger - the gate is
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// the plain fractional-index test.
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std::optional<Coord> rocking_spindle;
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float rocking_wedge_deg = 0.0f;
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// output
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std::optional<double> beam_corr_x;
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std::optional<double> beam_corr_y;
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// For rotation only optimizer
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std::optional<double> angle_corr;
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std::optional<Coord> angle_axis;
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};
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// num_threads sets the thread count of the internal least-squares refine (the answer does not depend on it). It defaults
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// to 1 because XtalOptimizer is usually called from many threads at once; raise it only when a caller
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// runs a small number of refinements concurrently and wants each to use several cores.
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bool XtalOptimizer(XtalOptimizerData &data, std::span<const std::vector<SpotToSave>> spots,
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int num_threads = 1);
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// Single frame. Not the same as passing {spots} to the overload above: a braced list copies the spot
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// list, its elements being const, which on the per-image path is the whole list once per image.
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bool XtalOptimizer(XtalOptimizerData &data, const std::vector<SpotToSave> &spots, int num_threads = 1);
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bool XtalOptimizerRotationOnly(XtalOptimizerData &data, const std::vector<SpotToSave> &spots, float tolerance);
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// The widest of the three fractional-index gates XtalOptimizer fits through. Its first pass selects
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// spots on this one and its last pass on 0.1, so the spots between the two are carried into the fit
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// and then dropped from it: this is the population a converged solve does NOT optimise.
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constexpr float XTAL_OPTIMIZER_WIDE_TOLERANCE = 0.3f;
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