The integrator's r1 disk and r2..r3 background ring are fixed in pixels and chosen from spots near the beam. On small-molecule data at 20-25 keV a spot's standard deviation grows from ~1 px near the beam to ~5 px at the edge (radially from parallax/obliquity, tangentially from the crystal's azimuthal spread), so the r1 = 4 disk holds a quarter of the flux there, the background ring a third of it, and the in-disk second moments the Gaussian is built from saturate near r1^2/4. On top of that, the profile/summation runaway guard sent 20-30% of these reflections - the strong, wide ones - back to the truncated r1 box sum. - SpotFootprint: every pre-scan spot (width frames) is measured with a window that follows it (3 sigma, iterated, re-centred), radially and tangentially; the medians per distance-from-beam bin become BraggIntegrationSettings::Footprint. Installed only where some bin outgrows r1, and on the adaptive side like the radius (pre-pass without; the starvation guard falls back to the settings without it). - BraggStencil: where 3 sigma > r1 the background ring starts at 3 sigma along and across the radius, the summation region is the r1 disk plus the 3-sigma footprint ellipse (so the guard's fallback is a complete intensity), and the per-reflection Gaussian takes the footprint widths. Compact spots keep the stencil bit for bit. Both engines build it from the same header. SHELXL against COD (R1 / fixed-XDS-model R1(F)): citric acid .101/.230 -> .077/.055, HEPES .070/.179 -> .048/.050, aspirin 20 keV .059/.070 -> .052/.061, aspirin 25 keV unchanged, L-cystine 25 keV unchanged (.145 -> .144). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01K5K8jvPPbmCrbqnWkddTuB
220 lines
7.3 KiB
C++
220 lines
7.3 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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BraggIntegrationSettings &BraggIntegrationSettings::Footprint(const SpotFootprint &input) {
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if (input.sigma_rad.size() != input.sigma_tan.size()
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|| input.sigma_rad.size() > static_cast<size_t>(SpotFootprint::MAX_BINS)
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|| (!input.empty() && !(input.bin_px > 0.0f)))
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throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "Invalid spot footprint table");
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footprint = input;
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return *this;
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}
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const SpotFootprint &BraggIntegrationSettings::GetFootprint() const {
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return footprint;
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}
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