166 lines
6.2 KiB
C++
166 lines
6.2 KiB
C++
// SPDX-FileCopyrightText: 2025 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 <fstream>
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#include "XdsIntegrateParser.h"
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#include "../reader/JFJochHDF5Reader.h"
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#include "../common/print_license.h"
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#include "../common/Logger.h"
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void print_usage(Logger &logger) {
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logger.Info("Usage ./jfjoch_extract_hkl {<options>} <path to master file>");
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logger.Info("Options:");
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logger.Info(" -I<num> Number of images");
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logger.Info(" -o<file> Output filename");
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logger.Info(" -x<num> Max dist from Ewald sphere");
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logger.Info(" -R{<file>} Sum same HKL across neighboring images (image +/- 1) - optional reference INTEGRATE.HKL file name");
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}
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int main(int argc, char **argv) {
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int64_t image_number = 0;
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float max_dist_ewald_sphere = 1.0;
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bool sum_neighboring = false;
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std::string ref_file;
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std::string output_filename = "out.hkl";
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print_license("jfjoch_extract_hkl");
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Logger logger("jfjoch_extract_hkl");
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logger.Verbose(true);
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int opt;
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while ((opt = getopt(argc, argv, "I:x:o:R::")) != -1) {
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switch (opt) {
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case 'I':
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image_number = atol(optarg);
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break;
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case 'x':
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max_dist_ewald_sphere = atof(optarg);
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break;
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case 'o':
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output_filename = optarg;
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break;
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case 'R':
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sum_neighboring = true;
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if (optarg)
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ref_file = std::string(optarg);
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break;
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default: /* '?' */
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print_usage(logger);
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exit(EXIT_FAILURE);
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}
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}
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if (optind != argc - 1) {
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print_usage(logger);
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exit(EXIT_FAILURE);
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}
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JFJochHDF5Reader reader;
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reader.ReadFile(argv[optind]);
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auto dataset = reader.LoadImage(image_number);
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if (dataset) {
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if (sum_neighboring) {
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CrystalLattice latt;
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IntegrateMap agg;
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int64_t total_images = reader.GetNumberOfImages();
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IntegrateMap xds_result;
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if (!ref_file.empty())
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xds_result = ParseXdsIntegrateHkl(ref_file);
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for (int i = 0; i < total_images; ++i) {
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auto dataset = reader.LoadImage(i);
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if (!dataset) continue;
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if (dataset->ImageData().indexing_lattice)
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latt = dataset->ImageData().indexing_lattice.value();
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for (const auto &r: dataset->ImageData().reflections) {
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int64_t key = hkl_key_16(r.h, r.k, r.l);
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auto it = agg.find(key);
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HKLData data{
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.h = r.h,
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.k = r.k,
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.l = r.l,
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.I = r.I,
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.last_image = i,
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.count = 1,
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.rlp = r.lp,
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.image_number = r.image_number
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};
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bool found = false;
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if (it != agg.end()) {
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for (auto &val: it->second) {
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if (val.last_image == i - 1) {
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val.I += r.I;
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val.last_image = i;
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val.count++;
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found = true;
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break;
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}
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}
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}
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if (!found)
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agg[key].push_back(data);
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}
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}
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std::fstream f(output_filename, std::ios::out);
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for (const auto &[key, val]: agg) {
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if (!val.empty()) {
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if (xds_result.empty()) {
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f << val[0].h << " " << val[0].k << " " << val[0].l << " " << val[0].I;
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f << std::endl;
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} else {
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auto xds_it = xds_result.find(key);
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if (xds_it != xds_result.end() && !xds_it->second.empty()) {
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f << val[0].h << " " << val[0].k << " " << val[0].l << " " << val[0].I;
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f << " " << xds_it->second[0].I << " " << 1.0/val[0].rlp << " " << xds_it->second[0].rlp;
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f << std::endl;
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}
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}
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}
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}
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auto cc_result = ComputeCcByResolution(latt, agg,xds_result, 1.0, 50.0, 25);
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for (int i = 0; i < cc_result.cc.size(); ++i)
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std::cout << 1/ std::sqrt(cc_result.shell_mean_one_over_d2[i]) << " " << cc_result.cc[i]* 100.0 << " " << cc_result.pairs[i] << std::endl;
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} else {
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auto geom = dataset->Dataset().experiment.GetDiffractionGeometry();
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std::fstream f(output_filename, std::ios::out);
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if (dataset->ImageData().indexing_lattice) {
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auto latt = dataset->ImageData().indexing_lattice.value();
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Coord astar = latt.Astar();
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Coord bstar = latt.Bstar();
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Coord cstar = latt.Cstar();
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auto uc = latt.GetUnitCell();
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logger.Info("Cell {} {} {} {} {} {}", uc.a, uc.b, uc.c, uc.alpha, uc.beta, uc.gamma);
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logger.Info("A {} {} {}", astar.x, astar.y, astar.z);
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logger.Info("B {} {} {}", bstar.x, bstar.y, bstar.z);
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logger.Info("C {} {} {}", cstar.x, cstar.y, cstar.z);
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logger.Info("{} reflections identified", dataset->ImageData().reflections.size());
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for (const auto &r: dataset->ImageData().reflections) {
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auto recip = astar * r.h + bstar * r.k + cstar * r.l;
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auto dist = geom.DistFromEwaldSphere(recip);
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if (dist < max_dist_ewald_sphere)
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f << r.l << " " << r.k << " " << r.h << " "
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<< r.I << " " << r.sigma << " " << dist << " "
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<< r.predicted_x << " " << r.predicted_y << " " << r.angle_deg
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<< std::endl;
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}
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}
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}
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}
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}
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