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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>
41 lines
2.0 KiB
C++
41 lines
2.0 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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// Included only under JFJOCH_USE_CUDA. Free of CUDA headers, so the host fit can hold one.
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#include <cstdint>
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#include <memory>
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#include <vector>
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#include "BackgroundBand.h"
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// The two passes over the pixels of the background beam-centre fit (FindBeamCenterFromBackground),
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// on the device: binning every usable pixel into its cell about a trial centre, and summing the
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// binned pixels again under a clip. They are all of the fit's cost; the fit itself stays on the host.
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//
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// Each cell is summed in the order the host sums it - pixel order within each of the host's row
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// blocks, the blocks then added in block order - so a pixel that lands in the same cell on both
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// sides adds the same rounding on both. Whatever differs comes from BackgroundBandCell (see there).
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class BeamCenterBackgroundGPU {
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struct Impl;
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std::unique_ptr<Impl> impl;
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public:
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// block_row: the first row of each of the host's row blocks, and one past the last row at the end.
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BeamCenterBackgroundGPU(int width, int height, const std::vector<int> &block_row,
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const char *usable, const float *mean);
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~BeamCenterBackgroundGPU();
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// Bin the band about (beam_x, beam_y) and sum each cell: the values, their squares, the two
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// derivatives, and the count.
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void Bin(const BackgroundBand &band, float beam_x, float beam_y,
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std::vector<double> &sum, std::vector<double> &sum_sq,
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std::vector<double> &sum_jx, std::vector<double> &sum_jy, std::vector<int32_t> &count);
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// Sum the pixels the last Bin put in each cell again, leaving out those above the cell's
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// clip_limit and every pixel of a cell whose limit is negative.
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void Clip(const std::vector<float> &clip_limit,
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std::vector<double> &sum, std::vector<double> &sum_sq, std::vector<int32_t> &count);
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};
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