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Jungfraujoch/image_analysis/indexing/AnalyzeIndexing.cpp
T
leonarski_fandClaude Opus 4.8 7b8e08cd96 rugnux: index weakly-diffracting low-resolution rotation data (Benas F-cubic)
Two F432 crystals (a~70.2 A) that diffract only to ~4-4.5 A on a detector
reaching ~1.5 A failed to process de-novo. Three independent, physically
motivated fixes, validated on the 24-crystal rotation_test battery with zero
regressions (every other crystal keeps its cell, indexing rate and space group):

1. Per-frame indexing gate (AnalyzeIndexing): the indexed-fraction denominator
   counted every found spot, but for these crystals ~85% of spots are
   unindexable sub-diffraction ice/noise, making the 20% floor unreachable so
   every frame was rejected (0% indexed). Count only spots within the resolution
   range the lattice actually diffracts to (out to the highest-resolution indexed
   spot). This can only shrink the denominator, so it never rejects a frame that
   passes today. Fixes Benas_3 (0 -> 40%, correct F-cubic -> H32).

2. First-pass rotation indexing now runs multiple sampling schemes and selects
   the one that indexes the most frames on the real per-image path (spread over
   the whole rotation vs a consecutive wedge from the clean start). The
   long-standing spread scheme wins for typical crystals (unchanged), while the
   consecutive wedge keeps a reflection's rocking curve continuous across frames
   so the FFT can trace a long axis whose fine reciprocal spacing the coarse
   spread cannot resolve. Fixes Benas_7 (garbage cell 0.06% -> correct hex 69%).
   Scheme selection reuses ProcessImage's indexing path (extracted as
   DetermineRefineAnalyze / IndexFrameOnly) so validation cannot diverge from
   production.

3. Space-group-search resolution gate (Rugnux): the <I/sigma> >= 1 cut collapsed
   to ~the cell dimension when every shell is below the threshold (I/sigma floored
   by the error model though CC1/2 is high), leaving the re-merge with no
   reflections -> "resolution calculation failed" crash. Only cut when a good
   low-res region exists above the cutoff.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-10 20:30:32 +02:00

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// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "../../common/JFJochMath.h"
#include <cstdint>
#include <vector>
#include <cmath>
#include <algorithm>
#include "AnalyzeIndexing.h"
#include "FitProfileRadius.h"
namespace {
inline bool ok(float x) {
if (!std::isfinite(x))
return false;
if (x < 0.0)
return false;
return true;
}
inline float deg_to_rad(float deg) {
return deg * (static_cast<float>(PI) / 180.0f);
}
inline float rad_to_deg(float rad) {
return rad * (180.0f / static_cast<float>(PI));
}
// Wrap to [-180, 180] (useful for residuals)
inline float wrap_deg_pm180(float deg) {
if (!std::isfinite(deg)) return std::numeric_limits<float>::quiet_NaN();; // or std::nullopt upstream
deg = std::fmod(deg + 180.0f, 360.0f);
if (!std::isfinite(deg))
return std::numeric_limits<float>::quiet_NaN();
if (deg < 0) deg += 360.0f;
return deg - 180.0f;
}
// XDS convention: zeta = |m2 · e1| where e1 = (S × S0) / |S × S0|
// This is the Lorentz factor component related to the rotation axis
inline float calc_zeta(const Coord& S, const Coord& S0, const Coord& m2) {
Coord S_cross_S0 = S % S0;
float len = S_cross_S0.Length();
if (len < 1e-12f) return 0.0f;
Coord e1 = S_cross_S0 * (1.0f / len);
return std::fabs(m2 * e1);
}
// XDS R(τ; σM/ζ) function - fraction of observed reflection intensity
// τ = angular difference between reflection and Bragg maximum (radians)
// delta_phi = oscillation range (radians)
// sigma_M = mosaicity (radians)
// zeta = |m2 · e1| Lorentz factor component
inline float R_fraction(float tau, float delta_phi, float sigma_M, float zeta) {
if (zeta < 1e-6f || sigma_M < 1e-9f)
return 0.0f;
const float sigma_eff = sigma_M / zeta;
const float sqrt2_sigma = std::sqrt(2.0f) * sigma_eff;
if (sqrt2_sigma < 1e-12f)
return 0.0f;
const float arg_plus = (tau + delta_phi / 2.0f) / sqrt2_sigma;
const float arg_minus = (tau - delta_phi / 2.0f) / sqrt2_sigma;
return 0.5f * (std::erf(arg_plus) - std::erf(arg_minus));
}
// Log-likelihood for a given sigma_M value
// Returns sum of log(R) for all reflections
inline double log_likelihood(const std::vector<float>& tau_values,
const std::vector<float>& zeta_values,
float delta_phi,
float sigma_M) {
double ll = 0.0;
for (size_t i = 0; i < tau_values.size(); ++i) {
float R = R_fraction(tau_values[i], delta_phi, sigma_M, zeta_values[i]);
if (std::isfinite(R) && R > 1e-30f) {
ll += std::log(static_cast<double>(R));
} else {
ll += -70.0; // Large penalty for zero probability
}
}
return ll;
}
// Golden section search for maximum likelihood sigma_M
inline float find_sigma_M_mle(const std::vector<float>& tau_values,
const std::vector<float>& zeta_values,
float delta_phi,
float sigma_min_deg = 0.001f,
float sigma_max_deg = 2.0f) {
const float golden = 0.618033988749895f;
float a = deg_to_rad(sigma_min_deg);
float b = deg_to_rad(sigma_max_deg);
float c = b - golden * (b - a);
float d = a + golden * (b - a);
const float tol = 1e-6f;
int iter = 0;
while (std::fabs(b - a) > tol && iter++ < 100) {
double fc = log_likelihood(tau_values, zeta_values, delta_phi, c);
double fd = log_likelihood(tau_values, zeta_values, delta_phi, d);
if (fc > fd) {
b = d;
d = c;
c = b - golden * (b - a);
} else {
a = c;
c = d;
d = a + golden * (b - a);
}
}
return (a + b) / 2.0f;
}
// Solve A cos(phi) + B sin(phi) + D = 0, return solutions in [phi0, phi1] (radians)
inline int solve_trig(float A, float B, float D,
float phi0, float phi1,
float out_phi[2]) {
const float R = std::sqrt(A * A + B * B);
if (!(R > 0.0f))
return 0;
const float rhs = -D / R;
if (!std::isfinite(rhs) || rhs < -1.0f || rhs > 1.0f)
return 0;
const float phi_ref = std::atan2(B, A);
const float delta = std::acos(rhs);
float s1 = phi_ref + delta;
float s2 = phi_ref - delta;
const float two_pi = 2.0f * static_cast<float>(PI);
auto shift_near = [&](float x) {
if (!std::isfinite(x))
return std::numeric_limits<float>::quiet_NaN();
const float span_center = 0.5f * (phi0 + phi1);
// Bring x close to the interval center using modulo 2π
float shifted = x - span_center;
shifted = std::fmod(shifted, two_pi);
if (!std::isfinite(shifted))
return std::numeric_limits<float>::quiet_NaN();
// fmod can return negative values; normalize to [-π, π]
if (shifted < -static_cast<float>(PI))
shifted += two_pi;
else if (shifted > static_cast<float>(PI))
shifted -= two_pi;
return shifted + span_center;
};
s1 = shift_near(s1);
s2 = shift_near(s2);
int n = 0;
if (s1 >= phi0 && s1 <= phi1) out_phi[n++] = s1;
if (s2 >= phi0 && s2 <= phi1) {
if (n == 0 || std::fabs(s2 - out_phi[0]) > 1e-6f) out_phi[n++] = s2;
}
return n;
}
// Find predicted phi (deg) for given g0 around phi_obs (deg) within +/- half_window_deg.
// Returns nullopt if no solution in the local window.
inline std::optional<float> predict_phi_deg_local(const Coord &g0,
const Coord &S0,
const Coord &w_unit,
float phi_obs_deg,
float half_window_deg) {
const float phi0 = deg_to_rad(phi_obs_deg - half_window_deg);
const float phi1 = deg_to_rad(phi_obs_deg + half_window_deg);
// Decompose g0 into parallel/perp to w
const float g_par_s = g0 * w_unit;
const Coord g_par = w_unit * g_par_s;
const Coord g_perp = g0 - g_par;
const float g_perp2 = g_perp * g_perp;
if (g_perp2 < 1e-12f)
return std::nullopt;
const float k2 = (S0 * S0); // |S0|^2 = (1/lambda)^2
// Equation: |S0 + g(phi)|^2 = |S0|^2
const Coord p = S0 + g_par;
const Coord w_x_gperp = w_unit % g_perp;
const float A = 2.0f * (p * g_perp);
const float B = 2.0f * (p * w_x_gperp);
const float D = (p * p) + g_perp2 - k2;
float sols[2]{};
const int nsol = solve_trig(A, B, D, phi0, phi1, sols);
if (nsol == 0)
return std::nullopt;
// Pick the solution closest to phi_obs
const float phi_obs = deg_to_rad(phi_obs_deg);
float best_phi = sols[0];
float best_err = std::fabs(sols[0] - phi_obs);
if (nsol == 2) {
const float err2 = std::fabs(sols[1] - phi_obs);
if (err2 < best_err) {
best_err = err2;
best_phi = sols[1];
}
}
return rad_to_deg(best_phi);
}
// XDS-style mosaicity calculation using maximum likelihood
// Following Kabsch (2010) Acta Cryst. D66, 133-144
std::optional<float> CalcMosaicityXDS(const DiffractionExperiment& experiment,
const std::vector<SpotToSave> &spots,
const Coord &astar, const Coord &bstar, const Coord &cstar) {
const auto &axis_opt = experiment.GetGoniometer();
if (!axis_opt.has_value())
return std::nullopt;
const GoniometerAxis& axis = *axis_opt;
const Coord m2 = axis.GetAxis().Normalize(); // XDS notation: m2 is rotation axis
const Coord S0 = experiment.GetScatteringVector();
const float delta_phi_rad = deg_to_rad(axis.GetWedge_deg());
std::vector<float> tau_values;
std::vector<float> zeta_values;
tau_values.reserve(spots.size());
zeta_values.reserve(spots.size());
for (const auto &s : spots) {
if (!s.indexed)
continue;
const Coord pstar = astar * static_cast<float>(s.h)
+ bstar * static_cast<float>(s.k)
+ cstar * static_cast<float>(s.l);
// Find predicted phi angle. The search window must be wide enough to catch reflections
// recorded at large rocking offset (|tau| up to ~mosaicity + dphi/2). Using ±wedge alone
// clips the tau tail at the oscillation width, so the MLE then underestimates the mosaicity
// ~2x (the tail reflections are exactly the ones that define the mosaic width). A generous
// window (oscillation + ~0.8deg rocking allowance) lets the tail in; the MLE is insensitive
// to making it wider still (it weights by the recorded fraction R(tau), which decays).
const float window_deg = axis.GetWedge_deg() + 0.8f;
const auto phi_pred_opt = predict_phi_deg_local(pstar, S0, m2, 0.0f, window_deg);
if (!phi_pred_opt.has_value() || !std::isfinite(phi_pred_opt.value()))
continue;
// τ (tau) = angular deviation from Bragg position to center of oscillation range
float tau_rad = deg_to_rad(wrap_deg_pm180(phi_pred_opt.value()));
// Calculate diffracted beam direction S = S0 + p (at diffracting condition)
// For zeta calculation, we need S at the predicted phi angle
const float phi_pred_rad = deg_to_rad(phi_pred_opt.value());
const float cos_phi = std::cos(phi_pred_rad);
const float sin_phi = std::sin(phi_pred_rad);
// Rotate pstar by predicted phi around m2 axis
const float p_m2 = pstar * m2;
const Coord p_parallel = m2 * p_m2;
const Coord p_perp = pstar - p_parallel;
const Coord m2_cross_p = m2 % pstar;
const Coord p_rotated = p_parallel + p_perp * cos_phi + m2_cross_p * sin_phi;
const Coord S = S0 + p_rotated;
// Calculate zeta (XDS convention)
float zeta = calc_zeta(S, S0, m2);
// Filter out reflections with very small zeta (poorly determined)
if (!std::isfinite(zeta) || !std::isfinite(tau_rad) || zeta < 0.1f)
continue;
tau_values.push_back(tau_rad);
zeta_values.push_back(zeta);
}
if (tau_values.size() < 10)
return std::nullopt;
// Find sigma_M by maximizing log-likelihood
float sigma_M_rad = find_sigma_M_mle(tau_values, zeta_values, delta_phi_rad);
return rad_to_deg(sigma_M_rad);
}
} // namespace
bool AnalyzeIndexing(DataMessage &message,
const DiffractionExperiment &experiment,
const CrystalLattice &latt,
const std::vector<CrystalLattice> &extra_lattices) {
auto start_time = std::chrono::steady_clock::now();
std::vector<uint8_t> indexed_spots(message.spots.size());
// Check spots
const Coord a = latt.Vec0();
const Coord b = latt.Vec1();
const Coord c = latt.Vec2();
const Coord astar = latt.Astar();
const Coord bstar = latt.Bstar();
const Coord cstar = latt.Cstar();
const bool index_ice_ring = experiment.GetIndexingSettings().GetIndexIceRings();
const auto geom = experiment.GetDiffractionGeometry();
const auto indexing_tolerance = experiment.GetIndexingSettings().GetTolerance();
const auto indexing_tolerance_sq = indexing_tolerance * indexing_tolerance;
const auto viable_cell_min_spots = experiment.GetIndexingSettings().GetViableCellMinSpots();
size_t nspots_ref = 0;
size_t nspots_indexed = 0;
// Reciprocal radius squared (|s|^2 = (2 sin(theta)/lambda)^2) per spot, and the largest among the
// indexed spots - i.e. the highest resolution at which this lattice actually diffracts.
std::vector<float> spot_q_sq(message.spots.size(), 0.0f);
float indexed_q_sq_max = 0.0f;
// identify indexed spots
for (int i = 0; i < message.spots.size(); i++) {
auto recip = message.spots[i].ReciprocalCoord(geom);
spot_q_sq[i] = recip * recip;
float h_fp = recip * a;
float k_fp = recip * b;
float l_fp = recip * c;
float h_frac = h_fp - std::round(h_fp);
float k_frac = k_fp - std::round(k_fp);
float l_frac = l_fp - std::round(l_fp);
float norm_sq = h_frac * h_frac + k_frac * k_frac + l_frac * l_frac;
Coord recip_pred = std::round(h_fp) * astar + std::round(k_fp) * bstar + std::round(l_fp) * cstar;
// See indexing_peak_check() in peaks.c in CrystFEL
if (norm_sq < indexing_tolerance_sq) {
if (index_ice_ring || !message.spots[i].ice_ring) {
nspots_indexed++;
indexed_q_sq_max = std::max(indexed_q_sq_max, spot_q_sq[i]);
}
indexed_spots[i] = 1;
message.spots[i].dist_ewald_sphere = geom.DistFromEwaldSphere(recip_pred);
message.spots[i].h = std::lround(h_fp);
message.spots[i].k = std::lround(k_fp);
message.spots[i].l = std::lround(l_fp);
}
}
// Reference count for the indexed-fraction test = spots within the resolution range that this
// lattice actually diffracts to (out to the highest-resolution indexed spot). Spots beyond that
// limit are noise: these weakly-diffracting crystals reach only ~4 A while the detector spans
// ~1.5 A, so most found spots are unindexable high-resolution background. Counting them in the
// denominator makes the 20% floor unreachable and rejects every frame. This can only shrink
// nspots_ref versus counting all spots, so it never rejects a frame that passes today.
for (int i = 0; i < message.spots.size(); i++) {
if ((index_ice_ring || !message.spots[i].ice_ring) && spot_q_sq[i] <= indexed_q_sq_max)
nspots_ref++;
}
int64_t indexing_lattice_count = 0;
bool outcome = false;
if (nspots_indexed >= viable_cell_min_spots && nspots_indexed >= std::lround(min_percentage_spots * nspots_ref)) {
auto uc = latt.GetUnitCell();
if (ok(uc.a) && ok(uc.b) && ok(uc.c) && ok(uc.alpha) && ok(uc.beta) && ok(uc.gamma)) {
message.indexing_result = true;
indexing_lattice_count++;
assert(indexed_spots.size() == message.spots.size());
for (int i = 0; i < message.spots.size(); i++) {
message.spots[i].indexed = indexed_spots[i];
message.spots[i].lattice = indexed_spots[i] ? 0 : -1;
}
message.profile_radius = FitProfileRadius(message.spots,
experiment.GetBandwidthFWHM().value_or(0.0f) / 2.3548f,
experiment.GetWavelength_A());
message.spot_count_indexed = nspots_indexed;
message.indexing_lattice = latt;
message.indexing_unit_cell = latt.GetUnitCell();
message.mosaicity_deg = CalcMosaicityXDS(experiment, message.spots, astar, bstar, cstar);
// Assign remaining (unindexed) spots to extra lattices, in order.
// Spots already assigned to the main lattice (lattice == 0) are never
// overwritten. Each extra lattice gets index 1, 2, 3, ...
const size_t n_extra = std::min<size_t>(extra_lattices.size(), experiment.GetIndexingSettings().GetMaxExtraLattices());
message.indexing_extra_lattices.clear();
message.indexing_extra_lattices.reserve(n_extra);
for (size_t li = 0; li < n_extra; li++) {
const CrystalLattice &el = extra_lattices[li];
const Coord ea = el.Vec0();
const Coord eb = el.Vec1();
const Coord ec = el.Vec2();
const Coord east = el.Astar();
const Coord ebst = el.Bstar();
const Coord ecst = el.Cstar();
const int64_t lattice_id = static_cast<int64_t>(li) + 1;
for (int i = 0; i < message.spots.size(); i++) {
// Do not overwrite spots already assigned to a lattice
if (message.spots[i].lattice >= 0)
continue;
auto recip = message.spots[i].ReciprocalCoord(geom);
float h_fp = recip * ea;
float k_fp = recip * eb;
float l_fp = recip * ec;
float h_frac = h_fp - std::round(h_fp);
float k_frac = k_fp - std::round(k_fp);
float l_frac = l_fp - std::round(l_fp);
float norm_sq = h_frac * h_frac + k_frac * k_frac + l_frac * l_frac;
if (norm_sq < indexing_tolerance_sq) {
Coord recip_pred = std::round(h_fp) * east
+ std::round(k_fp) * ebst
+ std::round(l_fp) * ecst;
message.spots[i].indexed = true;
message.spots[i].lattice = lattice_id;
message.spots[i].dist_ewald_sphere = geom.DistFromEwaldSphere(recip_pred);
message.spots[i].h = std::lround(h_fp);
message.spots[i].k = std::lround(k_fp);
message.spots[i].l = std::lround(l_fp);
}
}
message.indexing_extra_lattices.push_back(el);
indexing_lattice_count++;
}
outcome = true;
}
}
auto end_time = std::chrono::steady_clock::now();
message.index_analysis_time_s = std::chrono::duration<float>(end_time - start_time).count();
message.indexing_lattice_count = indexing_lattice_count;
message.indexing_result = outcome;
return outcome;
}