leonarski_f
b00c668e3a
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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>
66 lines
2.4 KiB
C++
66 lines
2.4 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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#include "ROIIntegration.h"
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#include "../../common/DiffractionExperiment.h"
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#include <algorithm>
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#include <cmath>
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ROIIntegration::ROIIntegration(const DiffractionExperiment &experiment)
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: roi_map(experiment.ExportROIMap()),
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width(experiment.GetXPixelsNumConv()),
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npixel(roi_map.size()),
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roi_count(experiment.ROI().size()),
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roi_name(roi_count),
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roi_sum(roi_count),
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roi_sum2(roi_count),
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roi_pixels(roi_count),
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roi_x_weighted(roi_count),
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roi_y_weighted(roi_count),
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roi_max(roi_count),
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modules(experiment.GetModules()),
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panel_slots(std::max<size_t>(modules.size(), 1)),
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roi_panel_v(roi_count * panel_slots),
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roi_panel_x(roi_count * panel_slots),
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roi_panel_y(roi_count * panel_slots) {
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for (const auto &[name, id] : experiment.ROI().GetROINameMap())
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roi_name[id] = name;
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}
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void ROIIntegration::PlaceWeighted() {
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for (uint16_t r = 0; r < roi_count; r++) {
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if (modules.empty()) {
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roi_x_weighted[r] = roi_panel_x[r];
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roi_y_weighted[r] = roi_panel_y[r];
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continue;
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}
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// Sum over panels of v * (o + (x - x0) f + (y - y0) s).
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double x = 0, y = 0;
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for (size_t p = 0; p < modules.size(); p++) {
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const auto &m = modules[p];
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const size_t k = r * panel_slots + p;
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const auto v = static_cast<double>(roi_panel_v[k]);
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const auto u = static_cast<double>(roi_panel_x[k] - m.x0 * roi_panel_v[k]);
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const auto w = static_cast<double>(roi_panel_y[k] - m.y0 * roi_panel_v[k]);
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x += m.ox * v + m.fx * u + m.sx * w;
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y += m.oy * v + m.fy * u + m.sy * w;
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}
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roi_x_weighted[r] = std::llround(x);
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roi_y_weighted[r] = std::llround(y);
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}
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}
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void ROIIntegration::Export(std::map<std::string, ROIMessage> &out) const {
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for (uint16_t r = 0; r < roi_count; r++)
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out[roi_name[r]] = ROIMessage{
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.sum = roi_sum[r],
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.sum_square = roi_sum2[r],
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.max_count = roi_max[r],
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.pixels = roi_pixels[r],
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.pixels_masked = 0,
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.x_weighted = roi_x_weighted[r],
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.y_weighted = roi_y_weighted[r],
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};
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}
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