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Jungfraujoch/image_analysis/rotation_indexer/RotationIndexer.cpp
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v1.0.0.rc-162 (#72)
**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>
2026-08-25 08:21:39 +02:00

532 lines
28 KiB
C++

// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "../../common/JFJochMath.h"
#include "RotationIndexer.h"
#include "../geom_refinement/XtalOptimizer.h"
#include "../indexing/FFTIndexer.h"
#include "../lattice_search/LatticeSearch.h"
#include "../indexing/MultiLatticeSearch.h"
#include <future>
namespace {
// Sub-cell override thresholds used in candidate selection to undo a spurious axis doubling:
// a later candidate replaces the chosen cell when it is smaller by more than this volume ratio
// (a doubling is 2x, well past 1.5) and indexes within this fraction slack of it. The slack is
// far below the indexed-fraction gap a real superstructure opens between its true cell and its
// sub-cell, so genuine large cells are kept.
constexpr float ROT_SUBCELL_VOLUME_RATIO = 1.5f;
constexpr float ROT_SUBCELL_FRAC_SLACK = 0.02f;
// How much better a lower-symmetry SETTING of an already-chosen lattice has to index before it is
// taken (see the selection below). A subgroup setting holds fewer cell parameters fixed, so it can
// never index less - only a decisively better fit is evidence that the higher symmetry is wrong.
constexpr float ROT_SUBGROUP_FRAC_RATIO = 1.5f;
// The same, for a candidate whose primitive cell is a near-integer MULTIPLE of the chosen one.
// Multiplying an axis halves that reciprocal spacing, so the multiple has a lattice point
// wherever its sub-cell has one and another in between: it collects spots the sub-cell leaves
// unindexed, for reasons that have nothing to do with the crystal. The indexed fraction is
// biased in its favour, so a small lead over the sub-cell is not evidence, and deciding the
// pair on the ordinary margin leaves it turning on the last bits of that fraction - one
// crystal here separated the true cell from a spurious 5x supercell by 0.003, little enough
// that the build's -march flags settled it, and the supercell merged to an R-free of 0.58
// (i.e. noise). A real superstructure's satellite rows are a large share of its spots and
// clear this ratio comfortably - but see the limitation noted at the comparison itself.
constexpr float ROT_SUPERCELL_FRAC_RATIO = 1.5f;
// How far from a whole number the volume ratio may sit and still count as an axis multiple.
constexpr double ROT_SUPERCELL_INTEGER_TOL = 0.15;
// Iteration bound for the candidate-cell refinements when the run is not real-time. Without one,
// XtalOptimizerData falls back to its wall-clock bound and the cell a candidate refines to - and
// therefore which candidate wins - depends on how busy the machine was. Same value as Ceres' own
// default iteration limit, so it only bites where the clock was biting before.
constexpr int ROT_REFINE_ITERATIONS = 50;
// Order of the lattice point group, so "lower symmetry" is a well-defined comparison
// (gemmi's enum orders Trigonal after Tetragonal, which have 6 and 8 rotations).
int LatticePointGroupOrder(gemmi::CrystalSystem s) {
switch (s) {
case gemmi::CrystalSystem::Monoclinic: return 2;
case gemmi::CrystalSystem::Orthorhombic: return 4;
case gemmi::CrystalSystem::Trigonal: return 6;
case gemmi::CrystalSystem::Tetragonal: return 8;
case gemmi::CrystalSystem::Hexagonal: return 12;
case gemmi::CrystalSystem::Cubic: return 24;
default: return 1; // Triclinic
}
}
// Re-express a primitive hexagonal/trigonal lattice in the conventional hexagonal setting
// (a = b, gamma = 120). The Niggli-reduced primitive cell carries the two equal-length axes
// at gamma = 60; replacing b with b - a opens that angle to 120 without changing the lattice.
CrystalLattice HexagonalConventional(CrystalLattice latt) {
latt.ReorderABEqual(); // put the equal-length pair in a, b
Coord a = latt.Vec0(), b = latt.Vec1(), c = latt.Vec2();
if (angle_deg(a, b) < 90.0f)
b -= a;
return CrystalLattice(a, b, c); // constructor fixes handedness
}
bool IsHexagonalSystem(gemmi::CrystalSystem s) {
return s == gemmi::CrystalSystem::Trigonal || s == gemmi::CrystalSystem::Hexagonal;
}
// The hexagonal lattice metric (two equal axes at 60/120 deg, both perpendicular to the third) is
// also satisfied by its ortho-hexagonal C-centred supercell, so the geometry-keyed LatticeSearch can
// land there. Detect the hexagonal metric on the reduced PRIMITIVE cell so the de-novo path (no space
// group to key on) can re-express it in conventional hexagonal axes.
bool IsMetricallyHexagonal(CrystalLattice latt, float rel_tol = 0.03f, float angle_tol_deg = 3.0f) {
latt.ReorderABEqual();
const Coord a = latt.Vec0(), b = latt.Vec1(), c = latt.Vec2();
const float la = a.Length(), lb = b.Length();
if (la <= 0.0f || lb <= 0.0f || std::fabs(la - lb) > rel_tol * std::max(la, lb))
return false;
const float gab = angle_deg(a, b);
if (std::fabs(gab - 60.0f) > angle_tol_deg && std::fabs(gab - 120.0f) > angle_tol_deg)
return false;
return std::fabs(angle_deg(a, c) - 90.0f) <= angle_tol_deg &&
std::fabs(angle_deg(b, c) - 90.0f) <= angle_tol_deg;
}
// Fraction of the accumulated reciprocal-space spots that a lattice indexes to near-integer
// Miller indices within tol. Comparing a symmetry-constrained refinement against an
// unconstrained (triclinic) one is a data-driven test for a false promotion: a wrong
// higher-symmetry constraint snaps a pseudo cell onto ideal angles and misplaces most spots.
float IndexedFraction(const CrystalLattice &latt, const std::vector<Coord> &coords, float tol) {
if (coords.empty())
return 0.0f;
const Coord a = latt.Vec0(), b = latt.Vec1(), c = latt.Vec2();
const float tol_sq = tol * tol;
size_t indexed = 0;
for (const Coord &s : coords) {
const float dh = a * s - std::round(a * s); // Coord operator* = dot product = Miller index
const float dk = b * s - std::round(b * s);
const float dl = c * s - std::round(c * s);
if (dh * dh + dk * dk + dl * dl < tol_sq)
++indexed;
}
return static_cast<float>(indexed) / static_cast<float>(coords.size());
}
}
RotationIndexer::RotationIndexer(const DiffractionExperiment &x, IndexerThreadPool &indexer,
bool real_time)
: experiment(x),
index_ice_rings(x.GetIndexingSettings().GetIndexIceRings()),
real_time(real_time),
v_(experiment.GetImageNum()),
angle_deg_(experiment.GetImageNum()),
axis_(x.GetGoniometer()),
geom_(x.GetDiffractionGeometry()),
updated_geom_(geom_),
indexer_(indexer) {
}
void RotationIndexer::RunIndexing() {
std::unique_lock ul(m);
if (!axis_)
return;
std::vector<Coord> coords;
coords.reserve(max_spots_per_image * v_.size());
for (int i = 0; i < v_.size(); i++) {
const float angle_deg = angle_deg_[i].value_or(axis_->GetAngle_deg(i) + axis_->GetWedge_deg() / 2.0f);
const auto rot = axis_->GetTransformationAngle(angle_deg);
for (const auto &s: v_[i])
coords.emplace_back(rot * s.ReciprocalCoord(geom_));
}
const auto indexer_result = indexer_.Run(experiment, coords);
if (!indexer_result.lattice.empty() && indexer_result.lattice[0].CalcVolume() > 1.0) {
DiffractionExperiment experiment_copy(experiment);
const float index_tol = experiment.GetIndexingSettings().GetTolerance();
const auto orig_axis = axis_;
// Map an FFT candidate cell to its Bravais lattice. Re-express a metrically-hexagonal cell in
// conventional hexagonal axes (LatticeSearch can land on the ortho-hexagonal C setting) so the
// 3-fold is not hidden from scaling.
//
// A user-fixed space group is deliberately NOT stamped on here. The group names the symmetry;
// it does not say which basis the FFT candidate came back in, and the conventional cell above
// was reduced for whatever class the METRIC matched. Relabelling that cell with the group's
// system and centring leaves the constrained refine snapping the wrong angles to the ideal
// ones: measured, a C-centred orthorhombic cell relabelled primitive monoclinic indexed 1 of
// 60 validation frames and an F-cubic one relabelled trigonal indexed 0 of 60, where the same
// frames index at 36/60 and 51/60 without a group. The group is applied where it belongs - to
// the scaling and the merge.
auto build_sr = [&](const CrystalLattice &cand) -> LatticeSearchResult {
auto ls = LatticeSearch(cand);
if (!IsHexagonalSystem(ls.system) && IsMetricallyHexagonal(ls.primitive_reduced)) {
ls.conventional = HexagonalConventional(ls.primitive_reduced);
ls.system = gemmi::CrystalSystem::Hexagonal;
ls.centering = 'P';
}
return ls;
};
// Re-accumulate the reciprocal spots under a refined geometry/axis, to score a refined cell.
auto accumulate = [&](const DiffractionGeometry &g, const std::optional<GoniometerAxis> &ax) {
std::vector<Coord> c;
c.reserve(max_spots_per_image * v_.size());
for (int i = 0; i < v_.size(); i++) {
const float a = angle_deg_[i].value_or(ax->GetAngle_deg(i) + ax->GetWedge_deg() / 2.0f);
const auto rot = ax->GetTransformationAngle(a);
for (const auto &s : v_[i])
c.emplace_back(rot * s.ReciprocalCoord(g));
}
return c;
};
// The FFT offers a few candidate cells (its best reduction plus, for large/elongated cells, a
// widened alternative). Fully refine each and keep the one that indexes the most spots AFTER
// geometry refinement - the pre-refinement fraction is not a reliable discriminator (an
// incorrect larger cell can fit more of the un-refined accumulated spots than the correct one).
const size_t n_try = std::min<size_t>(indexer_result.lattice.size(), 4);
// Bound the axis lengths just above the found cell so a free (triclinic) refine cannot drift
// onto a pseudo-translation / modulation supercell (a modulated crystal whose satellites
// define a ~4x period would otherwise inflate one axis to the max-length clamp).
auto make_data = [&](const CrystalLattice &latt, gemmi::CrystalSystem sys, float length_bound_A) {
XtalOptimizerData d{
.geom = experiment_copy.GetDiffractionGeometry(),
.latt = latt,
.crystal_system = sys,
.min_spots = experiment.GetIndexingSettings().GetViableCellMinSpots(),
.max_length_A = length_bound_A,
// Match the indexers' [30,150] deg bound so a monoclinic beta outside [60,120]
// (e.g. beta>120) is refined, not clamped to the boundary.
.min_angle_deg = 30.0f,
.max_angle_deg = 150.0f,
.refine_beam_center = true,
.refine_detector_angles = true,
.refine_rotation_axis = true,
.index_ice_rings = experiment.GetIndexingSettings().GetIndexIceRings(),
.max_iterations = real_time ? 0 : ROT_REFINE_ITERATIONS,
.axis = orig_axis
};
if (d.crystal_system == gemmi::CrystalSystem::Trigonal)
d.crystal_system = gemmi::CrystalSystem::Hexagonal;
if (d.crystal_system == gemmi::CrystalSystem::Monoclinic)
d.latt.ReorderMonoclinic();
return d;
};
// Refine the FFT candidates. Each candidate is independent, and within a candidate the
// metric-symmetry solve and the de-novo triclinic pseudo-symmetry solve are independent too,
// so refine all of them (up to ~8 solves) at once - these Ceres refinements are the dominant
// first-pass cost. Each solve runs Ceres on a few cores. Selection stays serial and in
// candidate order below, so the outcome is identical to refining them one by one.
constexpr int kCeresThreads = 4;
// Seed each candidate serially (cheap: LatticeSearch + setup), then solve them in parallel.
struct CandidateWork {
bool viable = false;
LatticeSearchResult sr;
XtalOptimizerData constrained;
bool has_tri = false;
XtalOptimizerData tri;
};
std::vector<CandidateWork> work(n_try);
for (size_t ci = 0; ci < n_try; ci++) {
const CrystalLattice &cand = indexer_result.lattice[ci];
if (cand.CalcVolume() <= 1.0)
continue;
CandidateWork &w = work[ci];
w.sr = build_sr(cand);
const auto conv_uc = w.sr.conventional.GetUnitCell();
const float length_bound_A = 1.2f * static_cast<float>(std::max({conv_uc.a, conv_uc.b, conv_uc.c}));
w.constrained = make_data(w.sr.conventional, w.sr.system, length_bound_A);
// Pseudo-symmetry guard: also refine unconstrained (triclinic) on the primitive cell. Run it
// with a user-fixed space group too. The metric promotion the constrained refine acts on is
// decided by the geometry, not by the group, so it can be false whether or not a group was
// given - and without this cell there is nothing to catch it with, which is how a fixed
// group turned crystals the de-novo path indexes at 60/60 into runs that index none.
w.has_tri = (w.sr.system != gemmi::CrystalSystem::Triclinic);
if (w.has_tri)
w.tri = make_data(w.sr.primitive_reduced, gemmi::CrystalSystem::Triclinic, length_bound_A);
w.viable = true;
}
// Refine (constrained metric solve + score by the refined-geometry indexed fraction, the
// reliable discriminator). Runs on its own thread per solve.
struct Solved { bool ok = false; float frac = 0.0f; XtalOptimizerData data; };
auto solve = [&](XtalOptimizerData d) -> Solved {
const bool ok = XtalOptimizer(d, v_, kCeresThreads);
const float frac = ok ? IndexedFraction(d.latt, accumulate(d.geom, d.axis), index_tol) : 0.0f;
return {ok, frac, std::move(d)};
};
std::vector<std::future<Solved>> constrained_f(n_try), tri_f(n_try);
for (size_t ci = 0; ci < n_try; ci++) {
if (!work[ci].viable)
continue;
constrained_f[ci] = std::async(std::launch::async, [&, ci] { return solve(work[ci].constrained); });
if (work[ci].has_tri)
tri_f[ci] = std::async(std::launch::async, [&, ci] { return solve(work[ci].tri); });
}
// Assemble and select serially, in candidate order - identical to refining them one by one.
float best_frac = -1.0f;
float best_prim_vol = 0.0f;
bool have_best = false;
size_t best_ci = 0;
XtalOptimizerData best_data;
LatticeSearchResult best_sr;
std::shared_ptr<RotationIndexerResult> best_alt;
for (size_t ci = 0; ci < n_try; ci++) {
if (!work[ci].viable)
continue;
Solved c = constrained_f[ci].get();
bool ok = c.ok;
float frac = c.frac;
XtalOptimizerData data = std::move(c.data);
LatticeSearchResult sr = work[ci].sr;
// Adopt the free triclinic cell only if it indexes CLEARLY more than the constrained cell -
// a false promotion (a near-90 pseudo cell forced to ideal angles + a bogus centering)
// misplaces most reflections (measured indexed-fraction ratio ~0.1), whereas genuine higher
// symmetry (incl. R-centred) indexes comparably (ratio ~0.7). Preferring the constrained
// cell on a near-tie keeps the real symmetry/centering; the intensities settle the final
// space group.
// When the guard leaves the constrained cell in place, hand the refined triclinic cell to
// the caller instead of dropping it: the accumulated-spot fraction separates a false
// promotion from genuine symmetry by less than 2x on a lattice that is pseudo-symmetric
// to a few tenths of a degree, while the caller's per-frame validation separates the same
// pair by more than 20x.
std::shared_ptr<RotationIndexerResult> tri_alt;
if (work[ci].has_tri) {
Solved t = tri_f[ci].get();
auto as_triclinic = [](LatticeSearchResult s) {
s.system = gemmi::CrystalSystem::Triclinic;
s.centering = 'P';
s.conventional = s.primitive_reduced;
s.reindex = gemmi::Mat33(1, 0, 0, 0, 1, 0, 0, 0, 1);
return s;
};
if (t.ok && t.frac > 0.3f && frac < 0.5f * t.frac) {
sr = as_triclinic(sr);
data = std::move(t.data);
ok = true;
frac = t.frac;
} else if (t.ok) {
tri_alt = std::make_shared<RotationIndexerResult>(RotationIndexerResult{
.lattice = t.data.latt,
.search_result = as_triclinic(sr),
.geom = t.data.geom,
.axis = t.data.axis,
});
}
}
if (!ok)
continue;
// Prefer the indexer's earlier (primary) candidate; adopt a later one only if it indexes
// clearly more AND indexes reasonably well in absolute terms. The absolute floor stops a
// marginally-higher alternative from displacing the primary when both index poorly (e.g. a
// twin, where the accumulated-spot fraction is a noisy proxy) - only a decisively better
// cell (a superstructure's true cell vs its sublattice) takes over.
// Displace the current best when the candidate indexes clearly more, OR when it is a
// genuine sub-cell: a meaningfully smaller cell that still indexes at least as many spots.
// The sub-cell branch unmasks a spurious supercell (axis doubling): the primitive cell
// always indexes >= its integer multiple, so a doubled cell that wins ci-order by the
// hysteresis margin is overridden by its own primitive. A real superstructure's true
// (larger) cell indexes MORE than its sub-cell and is kept by the clearly-more branch;
// twin lattices share the cell volume, so this never disturbs twin selection.
// Volumes are compared PRIMITIVE. A centred conventional cell is an exact integer multiple
// of its primitive one, so two settings of the same lattice differ by that factor and
// conventional volumes read a mere change of setting as a sub-cell. And two such settings
// are not comparable on the indexed fraction either: the lower-symmetry one holds fewer
// cell parameters fixed, so it can only index more. An F-cubic lattice contains an
// I-tetragonal cell of the same volume, and refining that cell frees the c/a ratio the
// cubic one holds at sqrt(2), buying back the spots a fraction of a percent of strain had
// put out of tolerance. A slightly higher fraction is therefore no evidence against the
// higher symmetry - only a decisively better fit is.
const float cand_prim_vol = std::abs(data.latt.ToPrimitive(sr.centering).CalcVolume());
const bool lower_symmetry_setting = have_best
&& LatticePointGroupOrder(sr.system) < LatticePointGroupOrder(best_sr.system)
&& std::abs(cand_prim_vol - best_prim_vol) < 0.05f * best_prim_vol;
// A near-integer volume multiple of the incumbent - see ROT_SUPERCELL_FRAC_RATIO.
const double vol_ratio = (have_best && best_prim_vol > 1.0f && cand_prim_vol > 1.0f)
? cand_prim_vol / best_prim_vol : 1.0;
const double vol_nearest = std::round(vol_ratio);
const bool integer_supercell = vol_nearest >= 2.0
&& std::abs(vol_ratio - vol_nearest) < ROT_SUPERCELL_INTEGER_TOL;
// NOTE, and it is a real limitation: `frac > RATIO * best_frac` cannot be satisfied at
// all once best_frac exceeds 1/RATIO - above 0.667 for a ratio of 1.5, which is ordinary
// for good rotation data. So on data that indexes well these two guards do not merely
// raise the bar, they close the branch: no axis multiple and no lower-symmetry setting
// can displace the incumbent however much better it fits. A genuine superstructure whose
// satellite rows the sub-cell misses is therefore kept as its sub-cell, silently.
//
// Restating the bar on the fraction left UNINDEXED - the candidate must account for
// 1/RATIO of what the incumbent missed - is well defined over the whole range and looks
// like the obvious repair. It was tried and it REGRESSED the 37-crystal battery from
// 34/37 to 32/37 correct space groups: one C2 lattice fell to P1, and a P2 case went to
// C222 keeping 2923 of 22440 reflections. The indexed fraction is too noisy a statistic
// to carry a looser test, so the unreachable-but-safe form stays until the selection is
// decided on something better than it.
const bool clearly_more = frac > best_frac + 0.05f && frac > 0.15f
&& (!lower_symmetry_setting || frac > ROT_SUBGROUP_FRAC_RATIO * best_frac)
&& (!integer_supercell || frac > ROT_SUPERCELL_FRAC_RATIO * best_frac);
const bool smaller_subcell = have_best && frac > 0.15f
&& frac >= best_frac - ROT_SUBCELL_FRAC_SLACK
&& cand_prim_vol < best_prim_vol / ROT_SUBCELL_VOLUME_RATIO;
if (!have_best || clearly_more || smaller_subcell) {
best_frac = frac;
best_prim_vol = cand_prim_vol;
have_best = true;
best_data = std::move(data);
best_sr = sr;
best_ci = ci;
best_alt = std::move(tri_alt);
}
}
if (have_best) {
search_result_ = best_sr;
indexed_lattice = best_data.latt;
updated_geom_ = best_data.geom;
axis_ = best_data.axis;
unconstrained_ = std::move(best_alt);
}
// Extra (twin) lattices: MultiLatticeSearch derives each rotation by relating the FFT's primary
// lattice[0] to its near-copies, so only apply it when the chosen cell IS that primary. If a
// widened alternative won (a superstructure/large cell), lattice[0] is a different (sublattice)
// metric and its rotations would misorient the chosen cell.
if (have_best && best_ci == 0 && indexer_result.lattice.size() > 1) {
auto ml_latt = MultiLatticeSearch(indexer_result.lattice);
for (auto &l : ml_latt) {
if (extra_lattices_.size() >= experiment.GetIndexingSettings().GetMaxExtraLattices())
break;
// Ignore lattices oriented by less than 3.0 degree
if (l.rotation_vector.Length() < 3.0 * PI / 180.0)
continue;
RotMatrix rot(l.rotation_vector.Length(), l.rotation_vector.Normalize());
XtalOptimizerData data_multi{
.geom = experiment_copy.GetDiffractionGeometry(),
.latt = indexed_lattice->Multiply(rot),
.crystal_system = search_result_.system,
.min_spots = experiment.GetIndexingSettings().GetViableCellMinSpots(),
.refine_beam_center = false,
.refine_detector_angles = false,
.refine_unit_cell = false,
.refine_rotation_axis = false,
.index_ice_rings = experiment.GetIndexingSettings().GetIndexIceRings(),
.max_iterations = real_time ? 0 : ROT_REFINE_ITERATIONS,
.axis = axis_
};
// Quick refinement: orientation only. Cell size/angles, beam center,
// detector angles and rotation axis are all kept from the first lattice.
// XtalOptimizer always refines orientation; everything else is frozen above.
XtalOptimizer(data_multi, v_);
extra_lattices_.push_back(data_multi.latt);
}
}
}
}
void RotationIndexer::ProcessImage(int64_t image, const std::vector<SpotToSave> &spots,
std::optional<float> angle_deg) {
std::unique_lock ul(m);
// For non-rotation just ignore the whole procedure
if (!axis_)
return;
// Guard: `image` is a slot in [0, image count); a bad index (e.g. a global number for a subset
// run) must not corrupt memory.
if (image < 0 || image >= static_cast<int64_t>(v_.size()))
return;
if (accumulated_spots >= max_spots)
return;
if (indexed_lattice)
return;
angle_deg_[image] = angle_deg;
v_[image].reserve(spots.size());
for (const auto &s: spots) {
if (index_ice_rings || !s.ice_ring)
v_[image].emplace_back(s);
}
// truncate spots, so we don't get above max_spots (total) and max_spots_per_image (for this image)
size_t max_spots_limit = std::min(max_spots_per_image, max_spots - accumulated_spots);
if (v_[image].size() > max_spots_limit) {
std::ranges::nth_element(v_[image], v_[image].begin() + max_spots_limit,
[](const SpotToSave &a, const SpotToSave &b) {
return a.intensity > b.intensity;
}
);
v_[image].resize(max_spots_limit);
}
accumulated_spots += v_[image].size();
}
std::optional<RotationIndexerResult> RotationIndexer::GetLattice() const {
std::unique_lock ul(m);
if (!indexed_lattice)
return {};
return RotationIndexerResult{
.lattice = indexed_lattice.value(),
.extra_lattices = extra_lattices_,
.search_result = search_result_,
.geom = updated_geom_,
.axis = axis_,
.unconstrained = unconstrained_,
};
}
void RotationIndexer::ForceResult(const RotationIndexerResult &result) {
std::unique_lock ul(m);
indexed_lattice = result.lattice;
extra_lattices_ = result.extra_lattices;
search_result_ = result.search_result;
updated_geom_ = result.geom;
axis_ = result.axis;
unconstrained_ = result.unconstrained;
}
bool RotationIndexer::AccumulationFull() const {
std::unique_lock ul(m);
return accumulated_spots >= max_spots;
}
void RotationIndexer::ForceLattice(const CrystalLattice &lattice) {
indexed_lattice = lattice;
auto sg_num = experiment.GetSpaceGroupNumber().value_or(1);
auto sg = gemmi::find_spacegroup_by_number(sg_num);
if (sg != nullptr) {
search_result_ = LatticeSearchResult{
.niggli_class = 0, // Since Niggli class was not searched for, we don't know which one
.conventional = lattice, // If lattice provided, it is for now primitive == conventional
.system = sg->crystal_system(),
.centering = sg->centring_type(),
};
} else
search_result_ = LatticeSearchResult{
.niggli_class = 0, // Since Niggli class was not searched for, we don't know which one
.conventional = lattice, // If lattice provided, it is for now primitive == conventional
.system = gemmi::CrystalSystem::Triclinic,
.centering = 'P',
};
}