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This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use. * Analysis: The azimuthal-integration solid-angle correction now follows the incidence angle to the detector normal (`cos^3` of that angle) instead of `cos^3(2*theta)`, so it is correct for a tilted detector and matches PyFAI `solidAngleArray` and MAX IV azint (unchanged for an untilted detector). Crystal geometry refinement (`XtalOptimizer`) no longer silently ignores an imported PONI `rot3` (rotation about the beam): it is applied as a fixed rotation in the residual so refinement stays consistent with the rest of the pipeline. Polarization and azimuthal binning already honoured `rot3` through the full PONI rotation. * jfjoch_viewer: Open datasets on the WSL2/UNC filesystem (paths starting `\\`); write processing outputs next to the input file, with a Browse button and independent `_process.h5` / merged `.mtz`/`.cif` toggles; and show the determined space group in the merge-statistics window. * rugnux: Accept an absolute `-o` output prefix in offline processing. * Packaging: The self-contained Linux viewer `.tgz` now bundles cuFFT, so it runs without a system CUDA toolkit (`.deb`/`.rpm` are unchanged, distro-managed). * Docs: Bring the analysis references up to date with the code. `docs/CPU_DATA_ANALYSIS.md` now reflects the unified profile-fit Bragg integration engine, multi-lattice indexing, azimuthal phi binning, the radial parallax/bandwidth profile with sub-pixel centring, the rot3d capture-fraction handling and the automatic CC1/2 resolution cutoff, and drops the descriptions of features that were never implemented (French-Wilson amplitudes, the still excitation-error partiality model); `docs/RUGNUX.md` documents the new `--resolution-cutoff`/`--resolution-cc-target`/`--resolution-shells`, `--min-captured-fraction`, `--mosaicity`, `--reference-column`, the azimuthal correction toggles and the geometry-override options, and corrects the `-N` default. The outdated in-source design notes (ICE_RING_DETECTION, BRAGG_INTEGRATION_ENGINE, NEXTGEN_INTEGRATOR) are removed.Reviewed-on: #68 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
42 lines
1.7 KiB
C++
42 lines
1.7 KiB
C++
// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#pragma once
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#include <optional>
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// Spot-intensity extraction method used by the Bragg integration engine. ProfileGaussian (default)
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// profile-fits with a measured-width Gaussian (Kabsch-style) - more accurate intensities than the
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// classical uniform BoxSum; validated on HEWL anomalous (stronger S/Cl peaks vs box-sum). BoxSum is
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// the simpler, faster fallback. ProfileEmpirical learns the profile per resolution shell from strong
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// spots - see docs/CPU_DATA_ANALYSIS.md (Bragg integration).
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enum class IntegratorMode { BoxSum, ProfileGaussian, ProfileEmpirical };
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class BraggIntegrationSettings {
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IntegratorMode integrator_mode = IntegratorMode::ProfileGaussian;
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float r_1 = 4;
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float r_2 = 6;
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float r_3 = 10;
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float d_min_limit_A = 1.0;
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std::optional<float> fixed_profile_radius;
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float minimum_sigma_in_regards_to_i = 0.02;
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public:
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BraggIntegrationSettings& R1(float input);
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BraggIntegrationSettings& R2(float input);
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BraggIntegrationSettings& R3(float input);
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BraggIntegrationSettings& DMinLimit_A(float input);
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BraggIntegrationSettings& FixedProfileRadius_recipA(std::optional<float> input);
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BraggIntegrationSettings& Integrator(IntegratorMode input);
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[[nodiscard]] IntegratorMode GetIntegrator() const;
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[[nodiscard]] float GetR1() const;
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[[nodiscard]] float GetR2() const;
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[[nodiscard]] float GetR3() const;
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[[nodiscard]] std::optional<float> GetFixedProfileRadius_recipA() const;
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[[nodiscard]] float GetDMinLimit_A() const;
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[[nodiscard]] float GetMinimumSigmaInRegardsToI() const;
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};
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