Files
Jungfraujoch/image_analysis/spot_finding/SpotUtils.cpp
2025-10-20 20:43:44 +02:00

128 lines
4.1 KiB
C++

// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "SpotUtils.h"
#include "../../common/ResolutionShells.h"
void CountSpots(DataMessage &msg,
const std::vector<SpotToSave> &spots,
float d_min_A) {
int64_t low_res = 0;
int64_t ice_ring = 0;
for (auto &s: spots) {
if (s.ice_ring)
ice_ring++;
if (s.d_A > d_min_A)
low_res++;
}
msg.spot_count = spots.size();
msg.spot_count_low_res = low_res;
msg.spot_count_ice_rings = ice_ring;
}
void MarkIceRings(std::vector<SpotToSave> &spots, float tolerance_q_recipA) {
std::vector<float> ice_rings_q;
for (const auto &i: ICE_RING_RES_A)
ice_rings_q.push_back(2 * M_PI / i);
for (auto &s: spots) {
auto spot_q = 2 * M_PI / s.d_A;
bool tmp = false;
for (const auto &q: ice_rings_q)
tmp |= (fabs(spot_q - q) < tolerance_q_recipA);
s.ice_ring = tmp;
}
}
void FilterSpotsByCount(std::vector<SpotToSave> &input, int64_t count) {
size_t output_size = std::min<size_t>(input.size(), count);
std::ranges::partial_sort(input, input.begin() + output_size,
std::ranges::less{}, // comparator on the projected key
[](const SpotToSave &s) {
// projection: key to compare by
return std::tuple{s.ice_ring, -s.intensity};
// false < true → non-ice first; negate intensity → higher first
});
input.resize(output_size);
}
void FilterSpuriousHighResolutionSpots(std::vector<SpotToSave> &spots, float threshold) {
std::ranges::sort(spots, [] (SpotToSave &a, SpotToSave &b) {
return a.d_A > b.d_A;
});
// Apply 1/d gap threshold: find first gap in q = 1/d exceeding dist_threshold and ignore spots after it
if (spots.size() >= 2 && threshold > 0.0f) {
size_t cut_index = spots.size(); // default: keep all
// d_A sorted descending → q = 1/d_A sorted ascending
// We check consecutive q gaps: Δq_i = (1/d_i) - (1/d_{i+1})
for (size_t i = 0; i + 1 < spots.size(); ++i) {
float d1 = spots[i].d_A;
float d2 = spots[i + 1].d_A;
// Avoid division by zero; d_A should be > 0 in valid data
if (d1 <= 0.0f || d2 <= 0.0f)
continue;
float q1 = 2 * M_PI / d1;
float q2 = 2 * M_PI / d2;
float dq = q2 - q1; // should be >= 0 due to sorting
if (dq > threshold) {
cut_index = i + 1; // keep up to i inclusive
break;
}
}
if (cut_index < spots.size())
spots.resize(cut_index);
}
}
std::optional<float> GetResolution(const std::vector<SpotToSave> &spots) {
std::vector<float> resolutions;
resolutions.reserve(spots.size());
for (const auto &spot: spots) {
if (!spot.ice_ring)
resolutions.push_back(spot.d_A);
}
std::ranges::sort(resolutions);
if (resolutions.size() < 4)
return std::nullopt;
if (resolutions.size() < 20)
return resolutions[2];
return resolutions[static_cast<size_t>(spots.size() * 0.05)];
}
void GenerateSpotPlot(DataMessage &msg, float d_min_A) {
const int nshells = 20;
ResolutionShells shells(d_min_A, 50.0, nshells);
std::vector<float> intensity(nshells);
std::vector<float> count(nshells);
for (const auto &s: msg.spots) {
if (s.ice_ring)
continue;
if (auto shell = shells.GetShell(s.d_A)) {
intensity[*shell] += s.intensity;
count[*shell] += 1.0f;
}
}
std::vector<float> result(nshells);
for (int i = 0; i < nshells; ++i) {
if (count[i] > 0)
result[i] = intensity[i] / count[i];
else
result[i] = 0.0f;
}
msg.spot_plot_one_over_d_square = shells.GetShellMeanOneOverResSq();
msg.spot_plot_intensity = result;
msg.spot_plot_count = count;
}