Stage 0 of analysing panel detectors in their stored layout. The table of modules already is the panel table; what the consumers converted in the next stages need from it: - ImageToPlane / PlaneToImage on a known panel, no search; panel -1 (empty table) is the identity. - PlaneToPanel: the panel holding a plane point and its image position, nullopt in a gap (never passed through, unlike the existing PlaneToImage). - PlaneBounds: the box of all panel footprints on the plane; with an empty table exactly the image rectangle today's prediction bounds test uses. - ForEachPixel: f(panel, index, px, py) panel by panel, row by row, gaps not visited; with an empty table the plain row-major loop with plane == image. The image preprocessors (CPU, GPU) and the Bragg engines (CPU, GPU; Metal derives from CPU) now refuse a pixel mask whose size is not the image's, instead of reading a mask of another size out of range. Every reader sizes the experiment's detector, and so the mask, by the image it reads, so nothing that runs today is refused. Nothing calls the new functions yet: no output changes. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015CeEGgpKdfkCTJb3YNMJcu
196 lines
7.1 KiB
C++
196 lines
7.1 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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#include "DetectorModules.h"
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#include "DetectorGeometry.h"
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#include "Definitions.h"
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#include <algorithm>
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#include <cmath>
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#include <tuple>
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DetectorModule DetectorModule::AsImaged(int64_t x0, int64_t y0, int64_t width, int64_t height) {
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DetectorModule m;
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m.x0 = x0;
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m.y0 = y0;
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m.width = width;
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m.height = height;
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m.ox = static_cast<double>(x0);
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m.oy = static_cast<double>(y0);
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return m;
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}
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bool DetectorModule::ContainsImagePixel(double x, double y) const {
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// A pixel's centre is at its index, so the module covers [x0 - 0.5, x0 + width - 0.5).
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return x >= static_cast<double>(x0) - 0.5 && x < static_cast<double>(x0 + width) - 0.5
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&& y >= static_cast<double>(y0) - 0.5 && y < static_cast<double>(y0 + height) - 0.5;
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}
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std::pair<double, double> DetectorModule::ImageToPlane(double x, double y) const {
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const double u = x - static_cast<double>(x0), v = y - static_cast<double>(y0);
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return {ox + u * fx + v * sx, oy + u * fy + v * sy};
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}
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std::pair<double, double> DetectorModule::PlaneToImage(double px, double py) const {
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// Inverse of the 2x2 [f s]
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const double det = fx * sy - sx * fy;
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const double dx = px - ox, dy = py - oy;
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const double u = (sy * dx - sx * dy) / det;
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const double v = (-fy * dx + fx * dy) / det;
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return {static_cast<double>(x0) + u, static_cast<double>(y0) + v};
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}
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std::pair<double, double> DetectorModule::PlaneCentre() const {
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return ImageToPlane(static_cast<double>(x0) + 0.5 * static_cast<double>(width - 1),
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static_cast<double>(y0) + 0.5 * static_cast<double>(height - 1));
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}
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void DetectorModule::Apply(const ModuleShift &shift) {
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const double c = std::cos(shift.rot_rad), s = std::sin(shift.rot_rad);
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const double ux = ox - shift.x0, uy = oy - shift.y0;
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ox = shift.x0 + c * ux - s * uy + shift.dx;
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oy = shift.y0 + s * ux + c * uy + shift.dy;
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const double nfx = c * fx - s * fy, nfy = s * fx + c * fy;
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const double nsx = c * sx - s * sy, nsy = s * sx + c * sy;
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fx = nfx; fy = nfy;
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sx = nsx; sy = nsy;
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}
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DetectorModules::DetectorModules(std::vector<DetectorModule> in) : modules(std::move(in)) {}
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bool DetectorModules::empty() const {
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return modules.empty();
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}
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size_t DetectorModules::size() const {
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return modules.size();
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}
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const DetectorModule &DetectorModules::operator[](size_t i) const {
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return modules.at(i);
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}
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const std::vector<DetectorModule> &DetectorModules::Get() const {
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return modules;
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}
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bool DetectorModules::Moved() const {
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for (const auto &m: modules)
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if (m.ox != static_cast<double>(m.x0) || m.oy != static_cast<double>(m.y0)
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|| m.fx != 1.0 || m.fy != 0.0 || m.sx != 0.0 || m.sy != 1.0)
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return true;
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return false;
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}
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int64_t DetectorModules::ModuleOfImagePixel(double x, double y) const {
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for (size_t i = 0; i < modules.size(); i++)
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if (modules[i].ContainsImagePixel(x, y))
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return static_cast<int64_t>(i);
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return -1;
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}
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int64_t DetectorModules::ModuleOfPlanePoint(double px, double py) const {
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for (size_t i = 0; i < modules.size(); i++) {
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const auto [x, y] = modules[i].PlaneToImage(px, py);
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if (modules[i].ContainsImagePixel(x, y))
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return static_cast<int64_t>(i);
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}
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return -1;
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}
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std::pair<double, double> DetectorModules::ImageToPlane(double x, double y) const {
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const int64_t m = ModuleOfImagePixel(x, y);
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if (m < 0)
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return {x, y};
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return modules[m].ImageToPlane(x, y);
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}
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std::pair<double, double> DetectorModules::PlaneToImage(double px, double py) const {
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const int64_t m = ModuleOfPlanePoint(px, py);
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if (m < 0)
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return {px, py};
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return modules[m].PlaneToImage(px, py);
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}
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std::pair<double, double> DetectorModules::ImageToPlane(int64_t panel, double x, double y) const {
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if (panel < 0)
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return {x, y};
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return modules.at(panel).ImageToPlane(x, y);
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}
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std::pair<double, double> DetectorModules::PlaneToImage(int64_t panel, double px, double py) const {
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if (panel < 0)
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return {px, py};
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return modules.at(panel).PlaneToImage(px, py);
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}
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std::optional<PanelPoint> DetectorModules::PlaneToPanel(double px, double py) const {
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if (modules.empty())
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return PanelPoint{-1, px, py};
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for (size_t i = 0; i < modules.size(); i++) {
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const auto [x, y] = modules[i].PlaneToImage(px, py);
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if (modules[i].ContainsImagePixel(x, y))
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return PanelPoint{static_cast<int64_t>(i), x, y};
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}
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return std::nullopt;
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}
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PlaneBox DetectorModules::PlaneBounds(int64_t width, int64_t height) const {
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if (modules.empty())
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return {0.0, 0.0, static_cast<double>(width), static_cast<double>(height)};
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PlaneBox box{INFINITY, INFINITY, -INFINITY, -INFINITY};
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for (const auto &m: modules) {
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const double xa = static_cast<double>(m.x0) - 0.5, xb = static_cast<double>(m.x0 + m.width) - 0.5;
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const double ya = static_cast<double>(m.y0) - 0.5, yb = static_cast<double>(m.y0 + m.height) - 0.5;
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for (const auto &[x, y]: {std::pair{xa, ya}, std::pair{xb, ya}, std::pair{xa, yb}, std::pair{xb, yb}}) {
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const auto [px, py] = m.ImageToPlane(x, y);
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box.x0 = std::min(box.x0, px);
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box.y0 = std::min(box.y0, py);
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box.x1 = std::max(box.x1, px);
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box.y1 = std::max(box.y1, py);
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}
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}
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return box;
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}
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void DetectorModules::Apply(const std::vector<ModuleShift> &shifts) {
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for (auto &m: modules) {
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const auto [cx, cy] = m.PlaneCentre();
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const double reach = 0.5 * static_cast<double>(std::min(m.width, m.height));
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const ModuleShift *best = nullptr;
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for (const auto &s: shifts)
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if (std::hypot(s.x0 - cx, s.y0 - cy) < reach
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&& (!best || std::hypot(s.x0 - cx, s.y0 - cy) < std::hypot(best->x0 - cx, best->y0 - cy)))
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best = &s;
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if (best)
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m.Apply(*best);
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}
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}
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std::vector<ModuleShift> DetectorModules::Centres() const {
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std::vector<ModuleShift> out;
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for (const auto &m: modules) {
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ModuleShift s;
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std::tie(s.x0, s.y0) = m.PlaneCentre();
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out.push_back(s);
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}
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return out;
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}
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DetectorModules ModulesAsImaged(const DetectorGeometry &geom) {
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if (geom.GetModulesNum() < 2)
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return {};
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std::vector<DetectorModule> out;
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for (int64_t m = 0; m < geom.GetModulesNum(); m++) {
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const Coord f = geom.GetFastDirection(m), s = geom.GetSlowDirection(m);
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const double cols = CONVERTED_MODULE_COLS - 1, lines = CONVERTED_MODULE_LINES - 1;
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const double xa = static_cast<double>(geom.GetX0(m)), ya = static_cast<double>(geom.GetY0(m));
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const double xb = xa + cols * f.x + lines * s.x, yb = ya + cols * f.y + lines * s.y;
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const auto x0 = static_cast<int64_t>(std::lround(std::min(xa, xb)));
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const auto y0 = static_cast<int64_t>(std::lround(std::min(ya, yb)));
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out.push_back(DetectorModule::AsImaged(x0, y0, std::lround(std::abs(xb - xa)) + 1,
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std::lround(std::abs(yb - ya)) + 1));
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}
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return DetectorModules(out);
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}
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