The stills merge dropped every observation with a saturated pixel. On a still the saturated observations are the fully recorded ones of the strongest low-resolution reflections, so what survived were their partial observations, whose partiality correction then set the merged intensity: on clipped CCD stills the merged low-resolution intensities came out at 0.4-0.6x of the deposited ones, a ramp no Wilson B absorbs, invisible to CC1/2 and R_split. The pixels are really clipped (flat-topped plateaus a few per mille wide, a pile-up in the pixel-value histogram from the per-pixel ADC limit), so the auto ceiling is right; the drop was the defect. A still now keeps the observation: the box sum with every saturated pixel counted at the saturation limit, unflagged and marked clipped, counted in BraggIntegrationCounts and reported as OVERLOADED_REFLECTIONS_KEPT. Rotation data (IsRotationIndexing) are unchanged and keep the flag for the rocking-event drop. Measured on a clipped-CCD stills subset (dimple R-free, deposited free set): dropped 0.247, lower bound 0.230 (same as switching saturation off). A Kabsch fit to the unsaturated wings read lower than the lower bound (0.237), and inflating the lower bound's sigma lost (0.255). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
212 lines
10 KiB
C++
212 lines
10 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 <catch2/catch_all.hpp>
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#include <algorithm>
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#include <cmath>
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#include <cstdint>
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#include <vector>
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#include "../common/BraggIntegrationSettings.h"
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#include "../common/DetectorSetup.h"
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#include "../common/DiffractionExperiment.h"
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#include "../common/Reflection.h"
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#include "../image_analysis/bragg_integration/BraggIntegrationEngineCPU.h"
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#include "../image_analysis/image_preprocessing/ImagePreprocessorBuffer.h"
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// One spot on a flat background, inside a grid of predictions 8 px apart that put no flux on the
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// frame - the tails of reflections recorded on the frames either side of a finely sliced one. Their
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// r2 regions cover every background ring, so whether the spot keeps a clean ring depends only on
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// whether those predictions are allowed to mask it.
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TEST_CASE("BraggIntegrationEngineCPU_NeighbourMaskFollowsPartiality", "[Integration][portable]") {
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DiffractionExperiment experiment(DetJF(2));
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experiment.DetectorDistance_mm(100.0f).IncidentEnergy_keV(WVL_1A_IN_KEV).BeamX_pxl(400.0f).BeamY_pxl(400.0f);
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experiment.ImportBraggIntegrationSettings(BraggIntegrationSettings());
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const size_t width = experiment.GetXPixelsNum(), npixel = experiment.GetPixelsNum();
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const float cx = 600.3f, cy = 300.2f, amp = 800.0f, sigma = 1.3f;
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ImagePreprocessorBuffer image(npixel);
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for (size_t i = 0; i < npixel; ++i)
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image[i] = 12;
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for (int dy = -6; dy <= 6; ++dy)
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for (int dx = -6; dx <= 6; ++dx) {
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const int x = static_cast<int>(std::lround(cx)) + dx, y = static_cast<int>(std::lround(cy)) + dy;
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const float ex = x - cx, ey = y - cy;
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image[y * width + x] += static_cast<int32_t>(std::lround(amp * std::exp(-(ex * ex + ey * ey) / (2 * sigma * sigma))));
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}
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auto run = [&](float neighbour_partiality, BraggIntegrationCounts &counts) {
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std::vector<Reflection> predicted;
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for (int gy = -4; gy <= 4; ++gy)
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for (int gx = -4; gx <= 4; ++gx) {
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Reflection r{};
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r.h = gx; r.k = gy; r.l = 1;
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r.predicted_x = cx + 8.0f * gx;
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r.predicted_y = cy + 8.0f * gy;
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r.d = 2.0f;
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r.prescaling_corr = 1.0f;
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r.partiality = (gx == 0 && gy == 0) ? 0.5f : neighbour_partiality;
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predicted.push_back(r);
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}
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BraggIntegrationEngineCPU engine(experiment, PixelMask(experiment));
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const auto out = engine.Run(image, predicted, predicted.size(), 0);
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counts = engine.Counts();
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std::vector<Reflection> spot;
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for (const auto &r : out)
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if (r.h == 0 && r.k == 0)
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spot.push_back(r);
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return spot;
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};
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// Tails: no reflection is dropped, and the spot is measured against the clean flat background -
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// while the density the widened-radius guard reads still sees every prediction.
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BraggIntegrationCounts tails;
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const auto spot = run(0.01f, tails);
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CHECK(tails.bkg_starved == 0);
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CHECK(tails.bkg_starved_by_neighbour > 0);
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REQUIRE(spot.size() == 1);
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CHECK(spot[0].bkg == Catch::Approx(12.0f));
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CHECK(spot[0].I == Catch::Approx(6.2831853 * sigma * sigma * amp).epsilon(0.05));
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// The same predictions with their flux on this frame do take the rings, the spot's among them, and
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// it is the neighbours, not the detector, that starve them - the same rings the density counted.
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BraggIntegrationCounts on_frame;
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CHECK(run(1.0f, on_frame).empty());
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CHECK(on_frame.bkg_starved > 0);
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CHECK(on_frame.bkg_starved_by_neighbour == on_frame.bkg_starved);
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CHECK(on_frame.bkg_starved_by_neighbour == tails.bkg_starved_by_neighbour);
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}
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// The neighbour count taken without an image (CountNeighbourCrowding) is the one the integrator
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// takes while integrating, on a frame whose pixels are all readable, whatever the partialities.
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TEST_CASE("BraggIntegrationEngineCPU_CrowdingCountedWithoutImage", "[Integration][portable]") {
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DiffractionExperiment experiment(DetJF(2));
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experiment.DetectorDistance_mm(100.0f).IncidentEnergy_keV(WVL_1A_IN_KEV).BeamX_pxl(400.0f).BeamY_pxl(400.0f);
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experiment.ImportBraggIntegrationSettings(BraggIntegrationSettings().R1(5.0f).R2(7.0f).R3(13.0f));
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const size_t npixel = experiment.GetPixelsNum();
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ImagePreprocessorBuffer image(npixel);
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for (size_t i = 0; i < npixel; ++i)
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image[i] = 12;
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for (float spacing : {7.0f, 11.0f, 16.0f}) {
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std::vector<Reflection> predicted;
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for (int gy = -6; gy <= 6; ++gy)
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for (int gx = -6; gx <= 6; ++gx) {
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Reflection r{};
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r.h = gx; r.k = gy; r.l = 1;
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r.predicted_x = 600.3f + spacing * gx + 0.37f * gy;
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r.predicted_y = 300.2f + spacing * gy;
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r.d = 2.0f;
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r.prescaling_corr = 1.0f;
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r.partiality = (gx + gy) % 3 == 0 ? 0.01f : 0.8f;
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predicted.push_back(r);
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}
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BraggIntegrationEngineCPU integrated(experiment, PixelMask(experiment));
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integrated.Run(image, predicted, predicted.size(), 0);
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BraggIntegrationEngineCPU counted(experiment, PixelMask(experiment));
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counted.CountNeighbourCrowding(predicted, predicted.size());
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CHECK(counted.Counts().predicted == integrated.Counts().predicted);
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CHECK(counted.Counts().bkg_starved_by_neighbour == integrated.Counts().bkg_starved_by_neighbour);
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if (spacing == 7.0f)
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CHECK(counted.Counts().bkg_starved_by_neighbour > 0);
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}
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}
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// A saturated pixel (INT32_MAX, as the preprocessor marks it) at the peak of a spot on rotation data: the
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// reflection is not measured but kept, flagged overloaded, so that a rotation merge can drop its whole
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// rocking event. The same spot without the saturated pixel is an ordinary measurement.
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TEST_CASE("BraggIntegrationEngineCPU_SaturatedPeakIsFlaggedNotDropped", "[Integration][portable]") {
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DiffractionExperiment experiment(DetJF(2));
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experiment.DetectorDistance_mm(100.0f).IncidentEnergy_keV(WVL_1A_IN_KEV).BeamX_pxl(400.0f).BeamY_pxl(400.0f)
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.Goniometer(GoniometerAxis("omega", 0.0f, 0.1f, Coord(-1, 0, 0), {}));
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experiment.ImportIndexingSettings(IndexingSettings().RotationIndexing(true));
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experiment.ImportBraggIntegrationSettings(BraggIntegrationSettings());
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const size_t width = experiment.GetXPixelsNum(), npixel = experiment.GetPixelsNum();
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const int cx = 600, cy = 300;
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ImagePreprocessorBuffer image(npixel);
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for (size_t i = 0; i < npixel; ++i)
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image[i] = 12;
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for (int dy = -6; dy <= 6; ++dy)
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for (int dx = -6; dx <= 6; ++dx)
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image[(cy + dy) * width + cx + dx] += static_cast<int32_t>(std::lround(800.0 * std::exp(-(dx * dx + dy * dy) / (2 * 1.3 * 1.3))));
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Reflection r{};
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r.h = 1; r.k = 2; r.l = 3;
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r.predicted_x = cx; r.predicted_y = cy;
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r.d = 2.0f;
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r.prescaling_corr = 1.0f;
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r.partiality = 1.0f;
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const std::vector<Reflection> predicted{r};
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BraggIntegrationEngineCPU engine(experiment, PixelMask(experiment));
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const auto clean = engine.Run(image, predicted, 1, 0);
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REQUIRE(clean.size() == 1);
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CHECK_FALSE(clean[0].overloaded);
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image[cy * width + cx] = INT32_MAX;
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const auto saturated = engine.Run(image, predicted, 1, 0);
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REQUIRE(saturated.size() == 1);
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CHECK(saturated[0].overloaded);
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CHECK(saturated[0].clipped);
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}
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// A still has no rocking event to drop, so an overloaded observation is kept as a lower bound: the box sum
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// with every saturated pixel at the saturation limit. A spot with its core clipped at the limit, the
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// clipped pixels marked saturated as the preprocessor marks them: the still gives exactly the clipped
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// sum, unflagged and clipped (it may be low), and below the unclipped spot; rotation data keep the flag.
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TEST_CASE("BraggIntegrationEngineCPU_StillKeepsOverloadAsLowerBound", "[Integration][portable]") {
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DiffractionExperiment experiment(DetJF(2));
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experiment.DetectorDistance_mm(100.0f).IncidentEnergy_keV(WVL_1A_IN_KEV).BeamX_pxl(400.0f).BeamY_pxl(400.0f);
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experiment.ImportBraggIntegrationSettings(BraggIntegrationSettings());
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const int32_t limit = 500, bkg = 12;
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experiment.Detector().SaturationLimit(limit);
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const size_t width = experiment.GetXPixelsNum(), npixel = experiment.GetPixelsNum();
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const int cx = 600, cy = 300;
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const float r1 = experiment.GetBraggIntegrationSettings().GetR1();
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ImagePreprocessorBuffer image(npixel);
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for (size_t i = 0; i < npixel; ++i)
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image[i] = bkg;
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double clipped_sum = 0.0, true_sum = 0.0;
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int n_saturated = 0;
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for (int dy = -6; dy <= 6; ++dy)
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for (int dx = -6; dx <= 6; ++dx) {
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const int32_t v = bkg + static_cast<int32_t>(std::lround(2000.0 * std::exp(-(dx * dx + dy * dy) / (2 * 1.3 * 1.3))));
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image[(cy + dy) * width + cx + dx] = v >= limit ? INT32_MAX : v;
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if (dx * dx + dy * dy < r1 * r1) {
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clipped_sum += std::min(v, limit) - bkg;
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true_sum += v - bkg;
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n_saturated += v >= limit;
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}
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}
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REQUIRE(n_saturated > 1);
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Reflection r{};
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r.h = 1; r.k = 2; r.l = 3;
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r.predicted_x = cx; r.predicted_y = cy;
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r.d = 2.0f;
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r.prescaling_corr = 1.0f;
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r.partiality = 1.0f;
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const std::vector<Reflection> predicted{r};
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BraggIntegrationEngineCPU still(experiment, PixelMask(experiment));
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const auto kept = still.Run(image, predicted, 1, 0);
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REQUIRE(kept.size() == 1);
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CHECK_FALSE(kept[0].overloaded);
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CHECK(kept[0].clipped);
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CHECK(kept[0].I == Catch::Approx(clipped_sum).epsilon(0.01));
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CHECK(kept[0].I < 0.8 * true_sum);
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CHECK(kept[0].sigma >= std::sqrt(kept[0].I));
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CHECK(still.Counts().overloads_kept == 1);
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experiment.Goniometer(GoniometerAxis("omega", 0.0f, 0.1f, Coord(-1, 0, 0), {}))
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.ImportIndexingSettings(IndexingSettings().RotationIndexing(true));
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BraggIntegrationEngineCPU rotation(experiment, PixelMask(experiment));
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const auto flagged = rotation.Run(image, predicted, 1, 0);
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REQUIRE(flagged.size() == 1);
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CHECK(flagged[0].overloaded);
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CHECK(rotation.Counts().overloads_kept == 0);
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}
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