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Jungfraujoch/common/ScalingSettings.h
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leonarski_fandClaude Opus 5 a6be35ccdb Azimuthal integration: optional sigma clipping of the reported profile
The profile is the MEAN of each bin, so a few strong reflections landing in a bin
lift it exactly as a smooth powder ring does. That is the wrong quantity whenever
the profile is wanted as a background rather than as a measurement of what is in
the bin - the ice score being the case in point, where reading a plain profile
INVERTED the metric: over 37 rotation crystals the two highest-scoring crystals
had no ice at all.

The adaptive spot finder already computes the right thing, a sigma-clipped
per-resolution-ring background, as a byproduct of its own threshold. Where it
runs, the ice score uses that. Where it does not - --no-adaptive-spots,
--azint-only, and anything reading the profile the broker wrote - there was no way
to get it. This adds one: azim_int_settings.sigma_clip (rugnux --azim-sigma-clip),
0 = off, minimum 2 because a tighter clip rejects a large part of a clean Gaussian
bin and biases the estimate low rather than removing outliers.

Two clip passes follow the plain one, matching the finder's recipe - the first
pass's standard deviation is itself inflated by the peaks being removed, so one
pass leaves a threshold that is still too generous. A bin with fewer than eight
pixels is left alone: at the detector edge and behind the beam stop there is no
spread to clip on.

Both engines do it. On the GPU the accept range is computed by a small kernel and
stays resident, so a clip pass is one more read of the same pixels and no round
trip; the two accumulation kernels take the range as a pointer that is null on the
plain pass. Measured on a JUNGFRAU rotation dataset, non-adaptive path: azimuthal
integration 0.02 -> 0.06 ms per image, exactly the 3x the extra passes predict,
against a 0.34 ms per-image total.

Note what the result IS: the smooth background under the peaks, not the bin mean.
It should not be switched on where a ring's integrated intensity is wanted - the
powder-ring geometry fit reads ring peaks, and those are what a clip is designed
to remove. Off by default, so nothing changes unless it is asked for.

Not exposed over the REST API - that needs the generated model regenerated, which
is a separate step.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-07 00:18:52 +02:00

170 lines
9.9 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
#include <optional>
#include "JFJochException.h"
// How the high-resolution cutoff for the written reflections and the reported shell table is chosen
// when no explicit --scaling-high-resolution is given. Off = keep the full (detector-edge) range;
// CCHalfLogistic = fit the CC1/2 fall-off and cut one shell past cc_target (DIALS-style, generous).
enum class ResolutionCutoffMethod { Off, CCHalfLogistic };
class ScalingSettings {
bool refine_wedge = false;
bool merge_friedel = true;
std::optional<double> high_resolution_limit_A;
std::optional<double> wedge_for_scaling;
std::optional<double> forced_mosaicity; // diagnostic: fix the scaling mosaicity (deg) instead of the per-image seed
double min_partiality = 0.02;
// Capture-aware systematic uncertainty for the rot3d combine: a full reconstructed from only
// a fraction f<1 of its rocking curve is extrapolated, and the unobserved (1-f) carries a
// systematic error ~coeff*(1-f)*I that plain counting sigma misses. 0 = off (baseline).
double capture_uncertainty_coeff = 0.0;
// Full-level captured-fraction floor for the rot3d combine: drop a reconstructed full whose rocking
// curve was only fractionally captured (sum of its partials' partiality < this). Distinct from
// min_partiality, which gates individual partials; this gates the assembled full. 0 = off (baseline).
double min_captured_fraction = 0.0;
double min_cc_for_image = 0.0;
// Exclude observations whose Lorentz geometry |zeta| falls below this from the DE-NOVO space-group
// search merge only (see RotationScaleMerge::search_min_zeta). 0 = off.
double search_min_zeta = 0.0;
double outlier_reject_nsigma = 0.0; // per-observation merge outlier rejection (XDS/DIALS-style); 0 = off, e.g. 6 enables
// Scale fulls: after the rotation 3D combine, refit a per-frame scale on the combined fulls (XDS
// order). Only used by the rotation path (RotationScaleMerge).
bool scale_fulls = false;
// Correction surfaces fitted on the rot3d fulls after scale-fulls: a decay (per-run Debye-Waller B)
// and an absorption surface (over the diffracted-beam direction in the goniometer frame). Both are
// cross-validated, so they no-op when their systematic is absent - hence ON by default (they only ever
// help or do nothing). No-op without rot3d. Set false to disable both.
bool correction_surfaces = true;
// Absorption-surface refinement iteration count (used when correction_surfaces is on).
int absorption_iter = 3;
// Physical partiality post-refinement for the STILLS merge (StillsPartialityRefine): refine a per-crystal
// orientation tilt against the running merge, recompute each reflection's partiality from the refined
// geometry (angular Ewald-proximity model), and re-scale/merge - the "full model" for stills. ON by
// default (helps mono stills, neutral on pink beam, tames weak data via a soft prior). rugnux
// --simple-stills turns it OFF, reverting to treating every reflection as a full (p = 1, single pass).
bool stills_partiality_refine = true;
// Expected-variance merge weighting for the STILLS merge (MergeOnTheFly). When combining a reflection's
// redundant observations by inverse variance, rebuild the Poisson signal part of each observation's
// variance at the reflection's EXPECTED <I> instead of the observation's own intensity. Weighting by an
// observation's own sigma^2 biases the inverse-variance mean low at <1 photon (an up-fluctuated
// observation gets a larger sigma and is over-downweighted). Default on - it mirrors the rotation combine
// (RotationScaleMerge::process_rawrun), which already does this, and is R-free-neutral on strong data and
// better on weak. --no-expected-variance-merge restores the old observed-sigma weighting.
bool expected_variance_merge = true;
// Minimum measured ice strength (iceRingScore, 1 = no ice) before any ice-ring handling is applied
// at all. The eleven fixed hexagonal bands cover 16-26% of the unique reflections at typical
// resolutions REGARDLESS of whether the crystal has ice, so flagging unconditionally taxes clean
// data for nothing. 0 disables the gate (always handle ice, the previous behaviour).
// 1.5 is measured, not guessed: over 37 rotation crystals the score lands at 1.00-1.22 on the
// thirty with no ice, 1.28-1.44 on four borderline ones whose ice-ring positions show no
// azimuthally smooth elevation, and 2.08-2.37 on the three with confirmed ice - and a decoy null
// (the identical statistic at ring positions where hexagonal ice cannot be) never exceeded 1.29.
float ice_min_score = 1.5f;
// The same gate on the SECOND ice channel: spots found on the hexagonal rings over the same q width
// of ice-free flanks beside them (1 = spots spread evenly). This is what catches ice in large
// crystallites, which diffracts as discrete spots and leaves the radial profile - and so
// ice_min_score - flat. Also measured, not guessed: over 36 rotation crystals thirty read
// 0.65-1.37 and a clean control 1.04, then 1.63/1.78 and a gap to 2.18-14.6 on the five whose
// spots really do pile up on the rings. 0 disables this channel.
float ice_min_spot_ratio = 2.0f;
// Smooth the per-frame scale G across frames (centered moving average of log G) before the rot3d
// combine, so a rocking event's partials share a consistent scale. Given as a ROTATION RANGE in
// degrees (like XDS DELPHI), converted to an odd frame window from the oscillation step; this keeps
// the smoothing physical (independent of frame slicing). 0 = off. A no-op without rot3d.
double smooth_g_deg = 0.0;
// Per-batch relative-B on the rot3d fulls (beyond the single global decay slope): bin frames into
// rotation-range batches of this width in degrees and refine one relative Debye-Waller B per batch, so
// NON-monotonic changes in scattering power across the run (absorption path, crystal slippage, dose
// bursts) are corrected the resolution-flat per-frame G and the single decay slope both miss. Cross-
// validated + zero-mean-anchored, so a no-op when absent. 0 = off. A no-op without rot3d.
double relative_b_deg = 0.0;
double rfree_fraction = 0.05;
// Automatic high-resolution cutoff for the written reflections + reported shells (not the scaling
// or the error model, and not the per-image _process.h5). Applied only when no explicit
// high_resolution_limit_A is set - that manual limit always wins and disables the auto-cut.
ResolutionCutoffMethod resolution_cutoff = ResolutionCutoffMethod::CCHalfLogistic;
double resolution_cc_target = 0.30; // CC1/2 value defining the fall-off limit before the +1 shell
int report_shell_count = 10; // number of resolution shells in the reported statistics table
public:
ScalingSettings& RefineRotationWedge(bool input);
ScalingSettings& RotationWedgeForScaling(std::optional<double> input);
ScalingSettings& MergeFriedel(bool input);
ScalingSettings& HighResolutionLimit_A(double limit);
ScalingSettings& HighResolutionLimit_A(std::optional<double> limit); // nullopt clears the limit
ScalingSettings& MinPartiality(double min_partiality);
ScalingSettings& ForcedMosaicity(std::optional<double> input);
ScalingSettings& CaptureUncertaintyCoeff(double input);
ScalingSettings& MinCapturedFraction(double input);
ScalingSettings& MinCCForImage(double min_cc_for_image);
ScalingSettings& SearchMinZeta(double search_min_zeta);
ScalingSettings& OutlierRejectNsigma(double input);
ScalingSettings& ScaleFulls(bool input);
ScalingSettings& AbsorptionIter(int input);
ScalingSettings& CorrectionSurfaces(bool input);
ScalingSettings& StillsPartialityRefine(bool input);
ScalingSettings& ExpectedVarianceMerge(bool input);
ScalingSettings& IceMinScore(float input);
ScalingSettings& IceMinSpotRatio(float input);
ScalingSettings& SmoothGDegrees(double input);
ScalingSettings& RelativeBDegrees(double input);
ScalingSettings& RfreeFraction(double input);
ScalingSettings& ResolutionCutoff(ResolutionCutoffMethod input);
ScalingSettings& ResolutionCCTarget(double input);
ScalingSettings& ReportShellCount(int input);
[[nodiscard]] bool GetRefineWedge() const;
[[nodiscard]] double GetMinMosaicity() const;
[[nodiscard]] double GetDefaultMosaicity() const;
[[nodiscard]] double GetMaxMosaicity() const;
[[nodiscard]] double GetMinWedge() const;
[[nodiscard]] std::optional<double> GetRotationWedgeForScaling() const;
[[nodiscard]] double GetMaxWedge() const;
[[nodiscard]] bool GetMergeFriedel() const;
[[nodiscard]] std::optional<double> GetHighResolutionLimit_A() const;
[[nodiscard]] double GetMinPartiality() const;
[[nodiscard]] std::optional<double> GetForcedMosaicity() const;
[[nodiscard]] double GetCaptureUncertaintyCoeff() const;
[[nodiscard]] double GetMinCapturedFraction() const;
[[nodiscard]] double GetMinCCForImage() const;
[[nodiscard]] double GetSearchMinZeta() const;
[[nodiscard]] double GetOutlierRejectNsigma() const;
[[nodiscard]] bool GetScaleFulls() const;
[[nodiscard]] int GetAbsorptionIter() const;
[[nodiscard]] bool GetCorrectionSurfaces() const;
[[nodiscard]] bool GetStillsPartialityRefine() const;
[[nodiscard]] bool GetExpectedVarianceMerge() const;
[[nodiscard]] float GetIceMinScore() const;
[[nodiscard]] float GetIceMinSpotRatio() const;
[[nodiscard]] double GetSmoothGDegrees() const;
[[nodiscard]] double GetRelativeBDegrees() const;
[[nodiscard]] double GetRfreeFraction() const;
[[nodiscard]] ResolutionCutoffMethod GetResolutionCutoff() const;
[[nodiscard]] double GetResolutionCCTarget() const;
[[nodiscard]] int GetReportShellCount() const;
};