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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>
99 lines
3.0 KiB
C++
99 lines
3.0 KiB
C++
// SPDX-FileCopyrightText: 2024 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 "JFJochMath.h"
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#include "ROIMap.h"
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#include "JFJochException.h"
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#include "PanelRows.h"
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std::vector<uint16_t> ROIMap::GetROIMap(const DiffractionGeometry &geom, const DetectorModules &modules,
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size_t xpixel, size_t ypixel) const {
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std::vector<uint16_t> map(xpixel * ypixel, 0);
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std::vector<float> resolution_map(xpixel * ypixel, 0);
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std::vector<float> phi_map;
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if (!rois.azimuthal.empty()) {
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phi_map.resize(xpixel * ypixel, 0);
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// A pixel on no panel keeps resolution and angle 0.
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ForEachPixelInRows(modules, static_cast<int64_t>(xpixel), 0, static_cast<int64_t>(ypixel),
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[&](int64_t, size_t i, double px, double py) {
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const auto x = static_cast<float>(px), y = static_cast<float>(py);
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resolution_map[i] = geom.PxlToRes(x, y);
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phi_map[i] = geom.Phi_rad(x, y) * 180.0f / static_cast<float>(PI);
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});
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}
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uint16_t roi_id = 0;
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for (const auto & box : rois.boxes) {
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box.MarkROI(map, roi_id, xpixel, ypixel, resolution_map, phi_map);
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roi_id++;
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}
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for (const auto & circle : rois.circles) {
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circle.MarkROI(map, roi_id, xpixel, ypixel, resolution_map, phi_map);
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roi_id++;
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}
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for (const auto &az : rois.azimuthal) {
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az.MarkROI(map, roi_id, xpixel, ypixel, resolution_map, phi_map);
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roi_id++;
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}
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return map;
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}
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std::map<std::string, uint16_t> ROIMap::GetROINameMap() const {
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std::map<std::string, uint16_t> roi_name_map;
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uint16_t roi_id = 0;
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for (auto & box : rois.boxes) {
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roi_name_map[box.GetName()] = roi_id;
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roi_id++;
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}
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for (auto & circle : rois.circles) {
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roi_name_map[circle.GetName()] = roi_id;
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roi_id++;
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}
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for (auto & az : rois.azimuthal) {
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roi_name_map[az.GetName()] = roi_id;
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roi_id++;
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}
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return roi_name_map;
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}
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void ROIMap::SetROI(const ROIDefinition &input) {
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if (input.boxes.size() + input.circles.size() + input.azimuthal.size() > roi_limit)
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throw JFJochException(JFJochExceptionCategory::ArrayOutOfBounds, "Limit of box ROIs exceeded");
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rois = input;
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}
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const ROIDefinition &ROIMap::GetROIDefinition() const {
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return rois;
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}
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bool ROIMap::empty() const {
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return rois.boxes.empty() && rois.circles.empty() && rois.azimuthal.empty();
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}
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size_t ROIMap::size() const {
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return rois.boxes.size() + rois.circles.size() + rois.azimuthal.size();
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}
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std::vector<ROIConfig> ROIMap::ExportMetadata() const {
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std::vector<ROIConfig> ret;
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for (auto &r : rois.boxes)
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ret.emplace_back(r.ExportMetadata());
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for (auto &r : rois.circles)
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ret.emplace_back(r.ExportMetadata());
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for (auto &r : rois.azimuthal)
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ret.emplace_back(r.ExportMetadata());
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return ret;
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}
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