Files
Jungfraujoch/image_analysis/bragg_prediction/BraggPrediction.cpp
T
leonarski_f d6389e12da
Build Packages / Unit tests (push) Skipped
Build Packages / build:windows:nocuda (push) Successful in 15m31s
Build Packages / build:viewer-tgz:cpu (push) Successful in 5m46s
Build Packages / build:viewer-tgz:cuda (push) Successful in 6m9s
Build Packages / build:rpm (rocky8_nocuda) (push) Successful in 9m25s
Build Packages / build:rpm (rocky9_nocuda) (push) Successful in 10m21s
Build Packages / build:rpm (ubuntu2204_nocuda) (push) Successful in 9m41s
Build Packages / build:rpm (ubuntu2404_nocuda) (push) Successful in 9m18s
Build Packages / build:rpm (rocky8_sls9) (push) Successful in 10m26s
Build Packages / build:rpm (rocky9_sls9) (push) Successful in 11m33s
Build Packages / build:rpm (rocky8) (push) Successful in 10m32s
Build Packages / build:rpm (rocky9) (push) Successful in 12m23s
Build Packages / build:rpm (ubuntu2204) (push) Successful in 10m50s
Build Packages / build:rpm (ubuntu2404) (push) Successful in 10m12s
Build Packages / DIALS test (push) Successful in 12m6s
Build Packages / XDS test (durin plugin) (push) Successful in 8m15s
Build Packages / XDS test (JFJoch plugin) (push) Successful in 7m12s
Build Packages / XDS test (neggia plugin) (push) Successful in 5m35s
Build Packages / Generate python client (push) Successful in 27s
Build Packages / Build documentation (push) Successful in 54s
Build Packages / Create release (push) Skipped
Build Packages / build:windows:cuda (push) Successful in 12m37s
v1.0.0-rc.156 (#66)
This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use.

* jfjoch_process: Major rotation (rot3d) data processing overhaul - robust profile-fit integration, Cauchy-loss scaling with optional absorption surface, de-novo indexing and space-group/centering determination fixes, and merging statistics + ISa in the mmCIF output.
* jfjoch_process: Add EXPERIMENTAL ice-ring detection (--detect-ice-rings) that excludes ice reflections from scaling.
* Compression: Add BSHUF_ZSTD_RLE_HUFF, make compression size-aware (drop frames that don't fit rather than aborting), and add the jfjoch_recompress tool.
* jfjoch_viewer: Report "Multiple lattices detected" and grey out "Analyze dataset" on a live connection.
* jfjoch_broker: Write smargon chi/phi goniometer positions to NXmx; read sensor thickness/material from HDF5 metadata.
* CI: Build Windows (CUDA and non-CUDA) installers.Reviewed-on: #66

Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-07-03 19:18:56 +02:00

182 lines
7.7 KiB
C++
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include <algorithm>
#include "../../common/JFJochMath.h"
#include "BraggPrediction.h"
#include "../bragg_integration/SystematicAbsence.h"
int BraggPrediction::TruncateToOutput(int count) {
if (count <= kPredictionOutput)
return count;
std::partial_sort(reflections.begin(), reflections.begin() + kPredictionOutput,
reflections.begin() + count,
[](const Reflection &a, const Reflection &b) {
if (a.dist_ewald != b.dist_ewald) return a.dist_ewald < b.dist_ewald;
if (a.h != b.h) return a.h < b.h;
if (a.k != b.k) return a.k < b.k;
return a.l < b.l;
});
return kPredictionOutput;
}
namespace {
// Number of bandwidth sigmas included in the (radially thickened) Ewald-shell
// acceptance window. 3σ captures essentially the whole pink-beam smear; matches
// the conservative end of the mosaicity cutoff used by callers.
constexpr float kBandwidthCutoffSigmas = 3.0f;
}
BraggPrediction::BraggPrediction(int max_reflections)
: max_reflections(max_reflections), reflections(max_reflections) {}
const std::vector<Reflection> &BraggPrediction::GetReflections() const {
return reflections;
}
int BraggPrediction::Calc(const DiffractionExperiment &experiment, const CrystalLattice &lattice,
const BraggPredictionSettings &settings) {
const auto geom = experiment.GetDiffractionGeometry();
const auto det_width_pxl = static_cast<float>(experiment.GetXPixelsNum());
const auto det_height_pxl = static_cast<float>(experiment.GetYPixelsNum());
const float one_over_dmax = 1.0f / settings.high_res_A;
const float one_over_dmax_sq = one_over_dmax * one_over_dmax;
float one_over_wavelength = 1.0f / geom.GetWavelength_A();
const Coord Astar = lattice.Astar();
const Coord Bstar = lattice.Bstar();
const Coord Cstar = lattice.Cstar();
const Coord S0 = geom.GetScatteringVector();
std::vector<float> rot = geom.GetPoniRotMatrix().transpose().arr();
// Precompute detector geometry constants
float beam_x = geom.GetBeamX_pxl();
float beam_y = geom.GetBeamY_pxl();
float det_distance = geom.GetDetectorDistance_mm();
float pixel_size = geom.GetPixelSize_mm();
float F = det_distance / pixel_size;
const float epsilon = 1e-5f;
const float s0_sq = S0 * S0;
const float rad_to_deg = 180.0f / static_cast<float>(PI);
int i = 0;
for (int h = -settings.max_hkl; h <= settings.max_hkl; h++) {
// Precompute A* h contribution
const float Ah_x = Astar.x * h;
const float Ah_y = Astar.y * h;
const float Ah_z = Astar.z * h;
for (int k = -settings.max_hkl; k <= settings.max_hkl; k++) {
// Accumulate B* k contribution
const float AhBk_x = Ah_x + Bstar.x * k;
const float AhBk_y = Ah_y + Bstar.y * k;
const float AhBk_z = Ah_z + Bstar.z * k;
for (int l = -settings.max_hkl; l <= settings.max_hkl; l++) {
if (systematic_absence(h, k, l, settings.centering))
continue;
if (i >= max_reflections)
continue;
float recip_x = AhBk_x + Cstar.x * l;
float recip_y = AhBk_y + Cstar.y * l;
float recip_z = AhBk_z + Cstar.z * l;
float recip_sq = recip_x * recip_x + recip_y * recip_y + recip_z * recip_z;
if (recip_sq > one_over_dmax_sq)
continue;
float S_x = recip_x + S0.x;
float S_y = recip_y + S0.y;
float S_z = recip_z + S0.z;
float S_len = sqrtf(S_x * S_x + S_y * S_y + S_z * S_z);
float dist_ewald_sphere = std::fabs(S_len - one_over_wavelength);
// Energy bandwidth thickens the Ewald shell radially: at the
// diffraction condition |S|-1/λ shifts by recip_z·(Δλ/λ), i.e.
// σ_bw = |recip_z|·bandwidth_sigma (= bλ/2d²). Broaden the acceptance
// window in quadrature so high-resolution shells (smeared most, ∝1/d²)
// are not clipped.
float radial_cutoff = settings.ewald_dist_cutoff;
if (settings.bandwidth_sigma > 0.0f) {
const float bw_tol = kBandwidthCutoffSigmas * settings.bandwidth_sigma * std::fabs(recip_z);
radial_cutoff = std::sqrt(radial_cutoff * radial_cutoff + bw_tol * bw_tol);
}
if (dist_ewald_sphere <= radial_cutoff ) {
const float s0_p0 = S0.x * recip_x + S0.y * recip_y + S0.z * recip_z;
const float val = s0_sq * recip_sq - s0_p0 * s0_p0;
float delta_phi_deg = NAN;
if (std::fabs(val) >= epsilon && s0_sq > epsilon) {
const float a_num = (s0_sq - 0.25f * recip_sq) * recip_sq;
if (a_num >= 0.0f) {
const float A = std::sqrt(a_num / val);
const float B = (A * s0_p0 + 0.5f * recip_sq) / s0_sq;
const float p_star_x = A * recip_x - B * S0.x;
const float p_star_y = A * recip_y - B * S0.y;
const float p_star_z = A * recip_z - B * S0.z;
const float p_star_sq = p_star_x * p_star_x + p_star_y * p_star_y + p_star_z * p_star_z;
const float denom = std::sqrt(p_star_sq * recip_sq);
if (denom >= epsilon) {
float c = (p_star_x * recip_x + p_star_y * recip_y + p_star_z * recip_z) / denom;
c = std::fmax(-1.0f, std::fmin(1.0f, c));
delta_phi_deg = std::acos(c) * rad_to_deg;
}
}
}
// Inlined RecipToDector with rot1 and rot2 (rot3 = 0)
// Apply rotation matrix transpose
float S_rot_x = rot[0] * S_x + rot[1] * S_y + rot[2] * S_z;
float S_rot_y = rot[3] * S_x + rot[4] * S_y + rot[5] * S_z;
float S_rot_z = rot[6] * S_x + rot[7] * S_y + rot[8] * S_z;
if (S_rot_z <= 0)
continue;
// Project to detector coordinates
// Assume detector is along x,y,z coordinates after rotation
float x = beam_x + F * S_rot_x / S_rot_z;
float y = beam_y + F * S_rot_y / S_rot_z;
if ((x < 0) || (x >= det_width_pxl) || (y < 0) || (y >= det_height_pxl))
continue;
float d = 1.0f / sqrtf(recip_sq);
reflections[i] = Reflection{
.h = h,
.k = k,
.l = l,
.delta_phi_deg = delta_phi_deg,
.predicted_x = x,
.predicted_y = y,
.observed_x = NAN,
.observed_y = NAN,
.d = d,
.dist_ewald = dist_ewald_sphere,
.rlp = 1.0,
.partiality = 1.0,
.zeta = 1.0,
.image_scale_corr = 1.0
};
++i;
}
}
}
}
return TruncateToOutput(i);
}