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Jungfraujoch/image_analysis/geom_refinement/BeamCenterBackgroundGPU.h
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1.0.0-rc.174 (#84)
* 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>
2026-10-06 14:03:18 +02:00

41 lines
2.0 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
// Included only under JFJOCH_USE_CUDA. Free of CUDA headers, so the host fit can hold one.
#include <cstdint>
#include <memory>
#include <vector>
#include "BackgroundBand.h"
// The two passes over the pixels of the background beam-centre fit (FindBeamCenterFromBackground),
// on the device: binning every usable pixel into its cell about a trial centre, and summing the
// binned pixels again under a clip. They are all of the fit's cost; the fit itself stays on the host.
//
// Each cell is summed in the order the host sums it - pixel order within each of the host's row
// blocks, the blocks then added in block order - so a pixel that lands in the same cell on both
// sides adds the same rounding on both. Whatever differs comes from BackgroundBandCell (see there).
class BeamCenterBackgroundGPU {
struct Impl;
std::unique_ptr<Impl> impl;
public:
// block_row: the first row of each of the host's row blocks, and one past the last row at the end.
BeamCenterBackgroundGPU(int width, int height, const std::vector<int> &block_row,
const char *usable, const float *mean);
~BeamCenterBackgroundGPU();
// Bin the band about (beam_x, beam_y) and sum each cell: the values, their squares, the two
// derivatives, and the count.
void Bin(const BackgroundBand &band, float beam_x, float beam_y,
std::vector<double> &sum, std::vector<double> &sum_sq,
std::vector<double> &sum_jx, std::vector<double> &sum_jy, std::vector<int32_t> &count);
// Sum the pixels the last Bin put in each cell again, leaving out those above the cell's
// clip_limit and every pixel of a cell whose limit is negative.
void Clip(const std::vector<float> &clip_limit,
std::vector<double> &sum, std::vector<double> &sum_sq, std::vector<int32_t> &count);
};