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* Rugnux: Stills processing needs only the unit cell and space group beyond what the file records - detector distance, beam centre, tilt, panel placement, saturation level, gain and polarisation plane are found from the images - and is up to twice as fast. * Rugnux: Stills can be indexed without a GPU, with a CPU implementation of the fast-feedback indexer (macOS, computers without a GPU). * Rugnux: Rotation and stills data are integrated in the detector's own units with one gain model, improving data from CCD detectors. * Web frontend: The Rugnux live page shows the placed model with its electron density and anomalous difference map in a Mol* viewer. Reviewed-on: #90 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
31 lines
1.1 KiB
C++
31 lines
1.1 KiB
C++
// SPDX-FileCopyrightText: 2026 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 <vector>
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#include <Eigen/Dense>
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#include "../../common/Coord.h"
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#include "Indexer.h"
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// The best cells of the fast-feedback indexer for one input cell, before Refine(): three rows per
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// cell (the real-space cell vectors), scores ascending - lower is better. The layout of the GPU
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// library's oCellM()/oScoreV(), so both feed Refine() the same way.
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struct FFBIDXCells {
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Eigen::MatrixX3<float> cells;
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Eigen::VectorX<float> scores;
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};
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// The fast-feedback indexer on the CPU: same samples, scores and output as the GPU library.
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// cell holds the real-space cell vectors as rows; the first nspots of spots are used.
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FFBIDXCells FFBIDXFindCells(const Eigen::Matrix3f &cell, const std::vector<Coord> &spots, size_t nspots);
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class FFBIDXIndexerCPU : public Indexer {
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Eigen::Matrix3f input_cell;
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void SetupUnitCell(const std::optional<UnitCell> &cell) override;
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public:
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std::vector<CrystalLattice> RunInternal(const std::vector<Coord> &coord, size_t nspots) override;
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};
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