Files
Jungfraujoch/common/ScalingSettings.cpp
T
leonarski_fandClaude Opus 4.8 ed98775ba3 rot3d: capture-aware sigma for under-captured fulls + expose per-image scale
The rot3d combine over-extrapolates fulls reconstructed from only a fraction f
of their rocking curve (min_partiality admits f as low as 0.02). Against XDS on
HEWL these low-capture fulls are systematically biased HIGH (+15% at f=0.8 to
+100% at f=0.3), and the bias - not random scatter - is the strong-reflection
floor that hurts anomalous accuracy.

--capture-uncertainty <coeff> (default 0 = off, baseline bit-identical) adds a
systematic uncertainty ~coeff*(1-f)*I to each full's sigma, so the merge
down-weights the over-extrapolated fulls and the error model treats their
scatter as expected. Unlike outlier rejection (which trades accuracy for CC1/2),
this fixes a real bias, so accuracy improves: at coeff=1.0 the anomalous peak
height vs XDS rises CL_CL +16%, SD_MET/SG_CYS +5-6%, ISa 10.7->11.0. Rotation-
only (no-op for stills, which never combine).

Also expose the per-image scale offline: Combine3D now carries the first-pass
per-image scale metadata (G, B, mosaicity, wedge, CC) forward instead of
dropping it, and jfjoch_process -M writes <prefix>_image.dat from it (the
offline self-scaling result was otherwise unobservable - process.h5's per-image
arrays are only filled on the online path). This enabled the XDS DECAY
comparison (jfjoch G tracks XDS, r=0.93).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-27 19:41:20 +02:00

195 lines
5.1 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "ScalingSettings.h"
ScalingSettings& ScalingSettings::SetPartialityModel(PartialityModel mode) {
partiality_mode = mode;
return *this;
}
ScalingSettings& ScalingSettings::RefineB(bool input) {
refine_b = input;
return *this;
}
ScalingSettings& ScalingSettings::MergeFriedel(bool input) {
merge_friedel = input;
return *this;
}
ScalingSettings& ScalingSettings::HighResolutionLimit_A(double limit) {
if (limit <= 0.0)
throw JFJochException(JFJochExceptionCategory::InputParameterBelowMin, "High resolution limit must be positive");
high_resolution_limit_A = limit;
return *this;
}
ScalingSettings& ScalingSettings::HighResolutionLimit_A(std::optional<double> limit) {
if (limit.has_value() && limit.value() <= 0.0)
throw JFJochException(JFJochExceptionCategory::InputParameterBelowMin, "High resolution limit must be positive");
high_resolution_limit_A = limit;
return *this;
}
bool ScalingSettings::GetRefineB() const {
return refine_b;
}
bool ScalingSettings::GetMergeFriedel() const {
return merge_friedel;
}
ScalingSettings &ScalingSettings::RefineRotationWedge(bool input) {
refine_wedge = input;
return *this;
}
bool ScalingSettings::GetRefineWedge() const {
return refine_wedge;
}
std::optional<PartialityModel> ScalingSettings::GetPartialityModel() const {
return partiality_mode;
}
std::optional<double> ScalingSettings::GetHighResolutionLimit_A() const {
return high_resolution_limit_A;
}
double ScalingSettings::GetMinB() const {
return min_b;
}
double ScalingSettings::GetMaxB() const {
return max_b;
}
double ScalingSettings::GetMinMosaicity() const {
return 0.001;
}
double ScalingSettings::GetMaxMosaicity() const {
return 1.0;
}
double ScalingSettings::GetMinWedge() const {
return 0.001;
}
double ScalingSettings::GetMaxWedge() const {
return 10.0;
}
double ScalingSettings::GetDefaultMosaicity() const {
return 0.1;
}
ScalingSettings &ScalingSettings::RotationWedgeForScaling(std::optional<double> input) {
if (input) {
// TODO: Use fmt
if (input.value() < GetMinWedge() || input.value() > GetMaxWedge())
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Wedge for scaling must be between " + std::to_string(GetMinWedge()) +
" and " + std::to_string(GetMaxWedge()));
}
wedge_for_scaling = input;
return *this;
}
std::optional<double> ScalingSettings::GetRotationWedgeForScaling() const {
return wedge_for_scaling;
}
ScalingSettings &ScalingSettings::MinPartiality(double input) {
if (min_partiality < 0.0 || min_partiality > 1.0)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "Min partiality must be between 0 and 1");
min_partiality = input;
return *this;
}
double ScalingSettings::GetMinCCForImage() const {
return min_cc_for_image;
}
ScalingSettings &ScalingSettings::MinCCForImage(double input) {
if (input < 0.0 || input > 1.0)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "Min CC for image must be between 0 and 1");
min_cc_for_image = input;
return *this;
}
double ScalingSettings::GetOutlierRejectNsigma() const {
return outlier_reject_nsigma;
}
ScalingSettings &ScalingSettings::OutlierRejectNsigma(double input) {
outlier_reject_nsigma = input; // <= 0 disables; no upper bound (large = effectively off)
return *this;
}
ScalingSettings &ScalingSettings::Combine3D(bool input) {
combine_3d = input;
return *this;
}
bool ScalingSettings::GetCombine3D() const {
return combine_3d;
}
ScalingSettings &ScalingSettings::ScaleFulls(bool input) {
scale_fulls = input;
return *this;
}
bool ScalingSettings::GetScaleFulls() const {
return scale_fulls;
}
double ScalingSettings::GetMinPartiality() const {
return min_partiality;
}
ScalingSettings &ScalingSettings::CaptureUncertaintyCoeff(double input) {
if (input < 0.0)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Capture uncertainty coefficient must be non-negative");
capture_uncertainty_coeff = input;
return *this;
}
double ScalingSettings::GetCaptureUncertaintyCoeff() const {
return capture_uncertainty_coeff;
}
ScalingSettings &ScalingSettings::FileFormat(IntensityFormat input) {
intensity_format = input;
return *this;
}
IntensityFormat ScalingSettings::GetFileFormat() const {
return intensity_format;
}
ScalingSettings &ScalingSettings::RfreeFraction(double input) {
if (input < 0.0 || input > 1.0)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "R-free fraction must be between 0 and 1");
rfree_fraction = input;
return *this;
}
double ScalingSettings::GetRfreeFraction() const {
return rfree_fraction;
}
ScalingSettings &ScalingSettings::ScalingRegularize(bool input) {
scaling_regularize = input;
return *this;
}
bool ScalingSettings::GetScalingRegularize() const {
return scaling_regularize;
}