A reflection arriving at an angle to the detector normal crosses D/cos(alpha) of whatever lies between the sample and the sensor, not D, so it is attenuated more than one arriving head-on and reads low. That is the same geometry as the sensor crossing already corrected here and the opposite sign, and it was missing. The factor is exp(D/L*(1/cos(alpha)-1)) from the NIST attenuation coefficient of the medium, the stated distance and the stated wavelength. Nothing in it is fitted, and it is not justified by any measured amplitude: the flight path and the sensor crossing are collinear to better than 0.998 over the angular range any single experiment samples, so no fit of one can be evidence for the other. It is the tabulated absorption of a known thickness of a known material over a known path. The medium cannot be detected. No field of the NXmx application definition describes it, none of the masters this program reads carries one, and it cannot be inferred from the implied transmission either - in this corpus a station confirmed to use helium sits at 51% implied air transmission and one confirmed to use air at 63%, so any rule separating them is a threshold fitted between two points. It is therefore assumed, stated, and overridable: --flight-path air|helium|vacuum, defaulting to air. Helium is its own material rather than an alias for vacuum, attenuating about a six hundredth of air rather than nothing. On an untilted detector the correction is a function of resolution alone, so its entire effect on merged data is a shift in the Wilson B - which is what the report now prints beside the assumption, accurate to better than a tenth of an angstrom squared against measurement from 0.05 up to 28. Where that shift is large the report warns, because a wrong medium is then the largest number in the run: applied to data from the confirmed helium station it returns a B of 14 A^2 at 3.0 A resolution, which is not a value a crystal can have. The corpus contains its own control. One crystal, one station, three collections a quarter of an hour apart at falling energy through the same air: corrected, the Wilson B rises monotonically with the dose, as it must. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EFEJG6WBQv8th4UJFNe53N
207 lines
6.8 KiB
C++
207 lines
6.8 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 <cmath>
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#include "BraggIntegrationSettings.h"
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#include "JFJochException.h"
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#define check_max(param, val, max) if ((val) > (max)) throw JFJochException(JFJochExceptionCategory::InputParameterAboveMax, param)
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#define check_min(param, val, min) if ((val) < (min)) throw JFJochException(JFJochExceptionCategory::InputParameterBelowMin, param)
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#define check_finite(param, val) if (!std::isfinite(val)) throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, param)
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BraggIntegrationSettings &BraggIntegrationSettings::R1(float input) {
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check_finite("Integration radius R1", input);
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check_min("Integration radius R1", input, 0.1);
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check_max("Integration radius R1", input, 20.0);
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r_1 = input;
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return *this;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::R2(float input) {
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check_finite("Background inner radius R2", input);
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check_min("Background inner radius R2", input, 0.1);
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check_max("Background inner radius R2", input, 30.0);
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if (input <= r_1)
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throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
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"Background inner radius (R2) must be larger than integration radius (R1)");
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r_2 = input;
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return *this;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::R3(float input) {
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check_finite("Background outer radius R3", input);
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check_min("Background outer radius R3", input, 0.1);
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check_max("Background outer radius R3", input, 40.0);
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if (input <= r_2)
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throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
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"Background outer radius (R3) must be larger than background inner radius (R2)");
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r_3 = input;
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return *this;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::StencilKSigma(float input) {
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check_finite("Integration stencil elongation", input);
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check_min("Integration stencil elongation", input, 0.0);
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check_max("Integration stencil elongation", input, 10.0);
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stencil_k_sigma = input;
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return *this;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::DMinLimit_A(std::optional<float> input) {
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if (input) {
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check_finite("Minimum d-spacing", *input);
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check_min("Minimum d-spacing", *input, 0.5);
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check_max("Minimum d-spacing", *input, 100.0);
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}
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d_min_limit_A = input;
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return *this;
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}
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BraggIntegrationSettings & BraggIntegrationSettings::FixedProfileRadius_recipA(std::optional<float> input) {
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if (input) {
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check_finite("Profile radius", input.value());
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check_min("Profile radius [A^-1]", input.value(), 0.000001);
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check_max("Profile radius [A^-1]", input.value(), 0.01);
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}
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fixed_profile_radius = input;
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return *this;
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}
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std::optional<float> BraggIntegrationSettings::GetFixedProfileRadius_recipA() const {
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return fixed_profile_radius;
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}
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BraggIntegrationSettings & BraggIntegrationSettings::ForcedPredictionMosaicity_deg(std::optional<float> input) {
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if (input) {
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check_finite("Prediction mosaicity", input.value());
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check_min("Prediction mosaicity [deg]", input.value(), 0.001);
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check_max("Prediction mosaicity [deg]", input.value(), 10.0);
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}
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forced_prediction_mosaicity_deg = input;
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return *this;
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}
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std::optional<float> BraggIntegrationSettings::GetForcedPredictionMosaicity_deg() const {
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return forced_prediction_mosaicity_deg;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::Integrator(IntegratorMode input) {
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integrator_mode = input;
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return *this;
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}
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IntegratorMode BraggIntegrationSettings::GetIntegrator() const {
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return integrator_mode;
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}
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float BraggIntegrationSettings::GetR1() const {
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return r_1;
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}
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float BraggIntegrationSettings::GetR2() const {
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return r_2;
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}
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float BraggIntegrationSettings::GetR3() const {
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return r_3;
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}
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float BraggIntegrationSettings::GetStencilKSigma() const {
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return stencil_k_sigma;
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}
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std::optional<float> BraggIntegrationSettings::GetDMinLimit_A() const {
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return d_min_limit_A;
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}
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float BraggIntegrationSettings::GetMinimumSigmaInRegardsToI() const {
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return minimum_sigma_in_regards_to_i;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::BackgroundTrimFraction(float input) {
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check_finite("Background trim fraction", input);
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check_min("Background trim fraction", input, 0.0);
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check_max("Background trim fraction", input, 0.49); // must leave a central majority after trimming
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bkg_trim_fraction = input;
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if (input > 0.0f)
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bkg_clip_nsigma = 0.0f; // the two ring estimators are alternatives, not a stack
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return *this;
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}
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float BraggIntegrationSettings::GetBackgroundTrimFraction() const {
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return bkg_trim_fraction;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::MaxHKL(std::optional<int> input) {
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if (input) {
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check_min("Maximum hkl index", *input, 1);
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// The GPU predictor launches one thread per candidate, so the cost is (2n+1)^3: 511 is 1.1e9
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// candidates per frame, already far past the point where prediction dominates a run.
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check_max("Maximum hkl index", *input, 511);
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}
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max_hkl = input;
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return *this;
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}
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std::optional<int> BraggIntegrationSettings::GetMaxHKL() const {
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return max_hkl;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::BackgroundClipNSigma(float input) {
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check_finite("Background clip nsigma", input);
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check_min("Background clip nsigma", input, 0.0);
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bkg_clip_nsigma = input;
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if (input > 0.0f)
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bkg_trim_fraction = 0.0f; // the two ring estimators are alternatives, not a stack
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return *this;
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}
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float BraggIntegrationSettings::GetBackgroundClipNSigma() const {
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return bkg_clip_nsigma;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::BackgroundRadialCorrection(std::optional<bool> input) {
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bkg_radial_correction = input;
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return *this;
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}
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std::optional<bool> BraggIntegrationSettings::GetBackgroundRadialCorrection() const {
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return bkg_radial_correction;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::Overlap(OverlapMode input) {
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overlap_mode = input;
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return *this;
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}
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OverlapMode BraggIntegrationSettings::GetOverlap() const {
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return overlap_mode;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::OverlapMinPeak(float input) {
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check_finite("Overlap minimum peak fraction", input);
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check_min("Overlap minimum peak fraction", input, 0.0);
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check_max("Overlap minimum peak fraction", input, 1.0);
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overlap_min_peak = input;
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return *this;
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}
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float BraggIntegrationSettings::GetOverlapMinPeak() const {
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return overlap_min_peak;
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}
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BraggIntegrationSettings &BraggIntegrationSettings::FlightPath(FlightPathMedium input) {
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flight_path = input;
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return *this;
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}
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FlightPathMedium BraggIntegrationSettings::GetFlightPath() const {
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return flight_path;
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}
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