A stills reflection recorded at partiality p carries a systematic intensity error ~(dp/p) that is proportional to <I> and grows as p falls; plain counting sigma misses it, so strong low-p partials are over-trusted in the merge. Add sigma^2 += (c*<I>*(1-p))^2 in MergeOnTheFly::CorrectedSigma - the stills-partiality analog of the existing rotation --capture-uncertainty term ((1-captured_fraction)*I in RotationScaleMerge). Inert when partiality==1 (no --still-partiality), and gated on a real systematic (error_model_b > 1, i.e. ISa < 1) so it fires on strong/medium stills but auto-skips weak counting-limited data where it would only over-concentrate the merge and hurt. Opt-in via --partiality-uncertainty <c> (default 0; ~2.5 recommended with --still-partiality). Prototyped (Python replica of the merge): lyso8 CC1/2 +1.7, CCref +4.8, R-free -0.023; LOV CCref +2; harmful on weak OCP (hence the b>1 gate). Full in-binary validation across all serial targets pending. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
276 lines
7.8 KiB
C++
276 lines
7.8 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::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<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::ScaleFulls(bool input) {
|
|
scale_fulls = input;
|
|
return *this;
|
|
}
|
|
|
|
bool ScalingSettings::GetScaleFulls() const {
|
|
return scale_fulls;
|
|
}
|
|
|
|
ScalingSettings &ScalingSettings::AbsorptionIter(int input) {
|
|
if (input < 0)
|
|
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "Absorption iterations must be non-negative");
|
|
absorption_iter = input;
|
|
return *this;
|
|
}
|
|
|
|
int ScalingSettings::GetAbsorptionIter() const {
|
|
return absorption_iter;
|
|
}
|
|
|
|
ScalingSettings &ScalingSettings::CorrectionSurfaces(bool input) {
|
|
correction_surfaces = input;
|
|
return *this;
|
|
}
|
|
|
|
bool ScalingSettings::GetCorrectionSurfaces() const {
|
|
return correction_surfaces;
|
|
}
|
|
|
|
ScalingSettings &ScalingSettings::SmoothGDegrees(double input) {
|
|
if (input < 0)
|
|
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "Smooth-G range must be non-negative");
|
|
smooth_g_deg = input;
|
|
return *this;
|
|
}
|
|
|
|
double ScalingSettings::GetSmoothGDegrees() const {
|
|
return smooth_g_deg;
|
|
}
|
|
|
|
double ScalingSettings::GetMinPartiality() const {
|
|
return min_partiality;
|
|
}
|
|
|
|
ScalingSettings &ScalingSettings::ForcedMosaicity(std::optional<double> input) {
|
|
if (input.has_value() && (input.value() < GetMinMosaicity() || input.value() > GetMaxMosaicity()))
|
|
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
|
|
"Forced mosaicity must be between " + std::to_string(GetMinMosaicity()) +
|
|
" and " + std::to_string(GetMaxMosaicity()));
|
|
forced_mosaicity = input;
|
|
return *this;
|
|
}
|
|
|
|
std::optional<double> ScalingSettings::GetForcedMosaicity() const {
|
|
return forced_mosaicity;
|
|
}
|
|
|
|
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::PartialityUncertaintyCoeff(double input) {
|
|
partiality_uncertainty_coeff = input;
|
|
return *this;
|
|
}
|
|
|
|
double ScalingSettings::GetPartialityUncertaintyCoeff() const {
|
|
return partiality_uncertainty_coeff;
|
|
}
|
|
|
|
ScalingSettings &ScalingSettings::MinCapturedFraction(double input) {
|
|
if (input < 0.0)
|
|
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
|
|
"Minimum captured fraction must be non-negative");
|
|
min_captured_fraction = input;
|
|
return *this;
|
|
}
|
|
|
|
double ScalingSettings::GetMinCapturedFraction() const {
|
|
return min_captured_fraction;
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
ScalingSettings &ScalingSettings::ResolutionCutoff(ResolutionCutoffMethod input) {
|
|
resolution_cutoff = input;
|
|
return *this;
|
|
}
|
|
|
|
ResolutionCutoffMethod ScalingSettings::GetResolutionCutoff() const {
|
|
return resolution_cutoff;
|
|
}
|
|
|
|
ScalingSettings &ScalingSettings::ResolutionCCTarget(double input) {
|
|
if (input <= 0.0 || input >= 1.0)
|
|
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
|
|
"Resolution CC target must be between 0 and 1");
|
|
resolution_cc_target = input;
|
|
return *this;
|
|
}
|
|
|
|
double ScalingSettings::GetResolutionCCTarget() const {
|
|
return resolution_cc_target;
|
|
}
|
|
|
|
ScalingSettings &ScalingSettings::ReportShellCount(int input) {
|
|
if (input < 1)
|
|
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
|
|
"Number of report shells must be at least 1");
|
|
report_shell_count = input;
|
|
return *this;
|
|
}
|
|
|
|
int ScalingSettings::GetReportShellCount() const {
|
|
return report_shell_count;
|
|
}
|