Files
Jungfraujoch/common/BraggIntegrationSettings.cpp
T
leonarski_f a0604ff244 Rotation: a diagnostic that opens the prediction window on its own width
Prediction and partiality read one number, the per-image sigma_M, so a sigma_M
that moves takes the integrated reflection population with it and there is no
way to ask which of the two uses carries a downstream difference.
--prediction-mosaicity fixes the width the prediction window opens to while the
partiality keeps using the measured sigma_M, which separates them.

Measured with it on a rotation crystal whose lattice search returns two
different cells a few tens of microns of detector distance apart: widening the
prediction window from the narrower branch's 0.203 deg to the wider branch's
0.272 deg adds 28% more partials and moves the merged statistics by less than
half a percent (I/sigma 6.1 -> 6.2, R_meas 12.7 -> 12.6%, ISa 10.7 -> 10.9);
narrowing the wide branch the other way removes 26% of its partials and
recovers nothing. On a tetragonal reference crystal a 4.7x over-wide window
costs 11%. The prediction window is not where a mosaicity difference turns into
a merged-data difference - the captured-fraction gate and the partiality
weighting downstream absorb a generous window.

Diagnostic only; off by default, so nothing changes unless it is asked for.
2026-08-12 01:17:51 +02:00

198 lines
6.6 KiB
C++

// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include <cmath>
#include "BraggIntegrationSettings.h"
#include "JFJochException.h"
#define check_max(param, val, max) if ((val) > (max)) throw JFJochException(JFJochExceptionCategory::InputParameterAboveMax, param)
#define check_min(param, val, min) if ((val) < (min)) throw JFJochException(JFJochExceptionCategory::InputParameterBelowMin, param)
#define check_finite(param, val) if (!std::isfinite(val)) throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, param)
BraggIntegrationSettings &BraggIntegrationSettings::R1(float input) {
check_finite("Integration radius R1", input);
check_min("Integration radius R1", input, 0.1);
check_max("Integration radius R1", input, 20.0);
r_1 = input;
return *this;
}
BraggIntegrationSettings &BraggIntegrationSettings::R2(float input) {
check_finite("Background inner radius R2", input);
check_min("Background inner radius R2", input, 0.1);
check_max("Background inner radius R2", input, 30.0);
if (input <= r_1)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Background inner radius (R2) must be larger than integration radius (R1)");
r_2 = input;
return *this;
}
BraggIntegrationSettings &BraggIntegrationSettings::R3(float input) {
check_finite("Background outer radius R3", input);
check_min("Background outer radius R3", input, 0.1);
check_max("Background outer radius R3", input, 40.0);
if (input <= r_2)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Background outer radius (R3) must be larger than background inner radius (R2)");
r_3 = input;
return *this;
}
BraggIntegrationSettings &BraggIntegrationSettings::StencilKSigma(float input) {
check_finite("Integration stencil elongation", input);
check_min("Integration stencil elongation", input, 0.0);
check_max("Integration stencil elongation", input, 10.0);
stencil_k_sigma = input;
return *this;
}
BraggIntegrationSettings &BraggIntegrationSettings::DMinLimit_A(std::optional<float> input) {
if (input) {
check_finite("Minimum d-spacing", *input);
check_min("Minimum d-spacing", *input, 0.5);
check_max("Minimum d-spacing", *input, 100.0);
}
d_min_limit_A = input;
return *this;
}
BraggIntegrationSettings & BraggIntegrationSettings::FixedProfileRadius_recipA(std::optional<float> input) {
if (input) {
check_finite("Profile radius", input.value());
check_min("Profile radius [A^-1]", input.value(), 0.000001);
check_max("Profile radius [A^-1]", input.value(), 0.01);
}
fixed_profile_radius = input;
return *this;
}
std::optional<float> BraggIntegrationSettings::GetFixedProfileRadius_recipA() const {
return fixed_profile_radius;
}
BraggIntegrationSettings & BraggIntegrationSettings::ForcedPredictionMosaicity_deg(std::optional<float> input) {
if (input) {
check_finite("Prediction mosaicity", input.value());
check_min("Prediction mosaicity [deg]", input.value(), 0.001);
check_max("Prediction mosaicity [deg]", input.value(), 10.0);
}
forced_prediction_mosaicity_deg = input;
return *this;
}
std::optional<float> BraggIntegrationSettings::GetForcedPredictionMosaicity_deg() const {
return forced_prediction_mosaicity_deg;
}
BraggIntegrationSettings &BraggIntegrationSettings::Integrator(IntegratorMode input) {
integrator_mode = input;
return *this;
}
IntegratorMode BraggIntegrationSettings::GetIntegrator() const {
return integrator_mode;
}
float BraggIntegrationSettings::GetR1() const {
return r_1;
}
float BraggIntegrationSettings::GetR2() const {
return r_2;
}
float BraggIntegrationSettings::GetR3() const {
return r_3;
}
float BraggIntegrationSettings::GetStencilKSigma() const {
return stencil_k_sigma;
}
std::optional<float> BraggIntegrationSettings::GetDMinLimit_A() const {
return d_min_limit_A;
}
float BraggIntegrationSettings::GetMinimumSigmaInRegardsToI() const {
return minimum_sigma_in_regards_to_i;
}
BraggIntegrationSettings &BraggIntegrationSettings::BackgroundTrimFraction(float input) {
check_finite("Background trim fraction", input);
check_min("Background trim fraction", input, 0.0);
check_max("Background trim fraction", input, 0.49); // must leave a central majority after trimming
bkg_trim_fraction = input;
if (input > 0.0f)
bkg_clip_nsigma = 0.0f; // the two ring estimators are alternatives, not a stack
return *this;
}
float BraggIntegrationSettings::GetBackgroundTrimFraction() const {
return bkg_trim_fraction;
}
BraggIntegrationSettings &BraggIntegrationSettings::MaxHKL(std::optional<int> input) {
if (input) {
check_min("Maximum hkl index", *input, 1);
// The GPU predictor launches one thread per candidate, so the cost is (2n+1)^3: 511 is 1.1e9
// candidates per frame, already far past the point where prediction dominates a run.
check_max("Maximum hkl index", *input, 511);
}
max_hkl = input;
return *this;
}
std::optional<int> BraggIntegrationSettings::GetMaxHKL() const {
return max_hkl;
}
BraggIntegrationSettings &BraggIntegrationSettings::BackgroundClipNSigma(float input) {
check_finite("Background clip nsigma", input);
check_min("Background clip nsigma", input, 0.0);
bkg_clip_nsigma = input;
if (input > 0.0f)
bkg_trim_fraction = 0.0f; // the two ring estimators are alternatives, not a stack
return *this;
}
float BraggIntegrationSettings::GetBackgroundClipNSigma() const {
return bkg_clip_nsigma;
}
BraggIntegrationSettings &BraggIntegrationSettings::BackgroundRadialCorrection(std::optional<bool> input) {
bkg_radial_correction = input;
return *this;
}
std::optional<bool> BraggIntegrationSettings::GetBackgroundRadialCorrection() const {
return bkg_radial_correction;
}
BraggIntegrationSettings &BraggIntegrationSettings::Overlap(OverlapMode input) {
overlap_mode = input;
return *this;
}
OverlapMode BraggIntegrationSettings::GetOverlap() const {
return overlap_mode;
}
BraggIntegrationSettings &BraggIntegrationSettings::OverlapMinPeak(float input) {
check_finite("Overlap minimum peak fraction", input);
check_min("Overlap minimum peak fraction", input, 0.0);
check_max("Overlap minimum peak fraction", input, 1.0);
overlap_min_peak = input;
return *this;
}
float BraggIntegrationSettings::GetOverlapMinPeak() const {
return overlap_min_peak;
}