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@@ -114,6 +114,7 @@ public:
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std::vector<double> model_colon{}, model_colat{}; // fitting model values
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std::vector<double> colon_res{}, colat_res{}; // target - model
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std::vector<double> colon_weight{}, colat_weight; // Tukey's weights
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#ifdef USE_BSPLINE_PCM
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int bspline_fit_err{}; // bivariate B-spline fitting exit code (see FITPACK)
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@@ -576,6 +577,9 @@ protected:
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result.colon_res.resize(numberOfPoints());
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result.colat_res.resize(numberOfPoints());
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result.colon_weight = {weights.begin(), weights.begin() + numberOfPoints()};
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result.colat_weight = {weights.begin() + numberOfPoints(), weights.end()};
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for (size_t i = 0; i < numberOfPoints(); ++i) {
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result.colon_res[i] = _table.colon_res[i] - result.model_colon[i]; // = target - model
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result.colat_res[i] = _table.colat_res[i] - result.model_colat[i]; // = target - model
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@@ -16,6 +16,23 @@ int main(int narg, char* argv[])
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MccDefaultPCM<MOUNT_TYPE>::pcm_data_t fit_pcm_data;
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size_t haM = 10; // number of B-spline inner knots along HA-axis
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size_t decM = 10; // number of B-spline inner knots along DEC-axis
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double ha_step = 360.0_degs / (haM - 1);
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fit_pcm_data.bspline.knotsX.resize(haM); // [0, 360]
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for (size_t i = 0; i < haM; ++i) {
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fit_pcm_data.bspline.knotsX[i] = i * ha_step;
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}
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double dec_start = -25.0_degs;
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double dec_step = (90.0_degs - dec_start) / (decM - 1);
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fit_pcm_data.bspline.knotsY.resize(decM);
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for (size_t i = 0; i < decM; ++i) {
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fit_pcm_data.bspline.knotsY[i] = dec_start + i * dec_step;
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}
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std::ifstream fst;
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std::string fname = "z1000_pcm_measu.data";
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@@ -63,7 +80,7 @@ int main(int narg, char* argv[])
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return 1;
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}
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std::println("\n\n{:*^40}\n", " FITTED RESULT ");
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std::println("\n\n{:*^40}\n", " FITTED RESULT (TYPE = GEOMETRY) ");
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std::println("\tNUM OF ITERS: {}", r.final_iter);
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std::println("FITTED COEFFS:");
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@@ -80,11 +97,36 @@ int main(int narg, char* argv[])
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std::println("\n\n{:*^40}\n", " FITTED DIFFS ");
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auto tab = pcm_cstr.getTable();
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for (size_t i = 0; i < pcm_cstr.numberOfPoints(); ++i) {
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std::println("{}\t {} {} {:6.2f}%\t{} {} {:6.2f}%", i, MccAngleFancyString(tab.colon_res[i]),
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std::println("{} {} {} {:6.2f}% ({:5.3f}) {} {} {:6.2f}% ({:5.3f})", i,
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MccAngleFancyString(tab.colon_res[i]), MccAngleFancyString(r.model_colon[i]),
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std::abs(r.colon_res[i] / tab.colon_res[i]) * 100.0, r.colon_weight[i],
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MccAngleFancyString(tab.colat_res[i]), MccAngleFancyString(r.model_colat[i]),
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std::abs(r.colat_res[i] / tab.colat_res[i]) * 100.0, r.colat_weight[i]);
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}
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std::println("\n\n{:*^40}\n", " FITTED RESULT (TYPE = BSPLINE) ");
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fit_pcm_data.type = MccDefaultPCMType::PCM_TYPE_BSPLINE;
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r = pcm_cstr.computeModel(fit_pcm_data);
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if (r.error) {
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std::println("error: {}", r.error.message());
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std::println("b-spline error: {}", r.bspline_fit_err);
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return 1;
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}
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std::println("\n\n{:*^40}\n", " FITTED DIFFS ");
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for (size_t i = 0; i < pcm_cstr.numberOfPoints(); ++i) {
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std::println("{} {} {} {:6.2f}% {} {} {:6.2f}%", i, MccAngleFancyString(tab.colon_res[i]),
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MccAngleFancyString(r.model_colon[i]), std::abs(r.colon_res[i] / tab.colon_res[i]) * 100.0,
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MccAngleFancyString(tab.colat_res[i]), MccAngleFancyString(r.model_colat[i]),
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std::abs(r.colat_res[i] / tab.colat_res[i]) * 100.0);
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}
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return 0;
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}
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