leonarski_fandClaude Opus 4.8
3aec235f67
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The per-shell profile width is learned in pixels, so it varies ~4x with resolution (mostly the geometric projection of a near-constant reciprocal-space relrod) and must be binned per shell -> it starves at high resolution / on sparse data. The new --reciprocal-profile flag instead learns ONE global width in reciprocal space, sigma2_q,tan = A + B|q| + C|q|^2: the Jacobian g_tan=cos(2theta) removes the geometric projection, and C|q|^2 is the crystal mosaicity relrod (variance ~(eta|q|)^2). Applied per reflection as sigma2_tan,px = (A + B|q| + C|q|^2)/g_tan^2 (B,C clamped >=0; quadratic->linear->constant fallback). Off by default. On the sharp HEWL test crystal (mosaicity 0.091deg, so C fits to ~0 and it reduces to the validated linear form) it is metric-neutral: ISa 16.2->16.3, anomalous 0.92x unchanged, CCref band 90.0->89.9, CC1/2 a touch lower (per-shell isn't starved at 23k spots/shell, and a global fit is less flexible). So: simpler + more transferable at a small CC1/2 cost, ISa/anomalous held. Its payoff is on MOSAIC crystals (large C|q|^2), where per-shell starves on the wide weak high-res spots and 6 shells are too coarse; both lyso test crystals are sharp, so it ships as a dial to try on mosaic data elsewhere. A separate radial relrod fit was tried and dropped (no gain). See NEXTGEN_INTEGRATOR.md. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
45 lines
1.8 KiB
C++
45 lines
1.8 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. ProfileGaussian (default) profile-fits with a measured-width
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// Gaussian (ProfileIntegrate2D, Kabsch-style) - more accurate intensities than the classical uniform
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// BoxSum (BraggIntegrate2D); 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 (v2) - see bragg_integration/NEXTGEN_INTEGRATOR.md.
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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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bool reciprocal_profile = false;
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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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BraggIntegrationSettings& ReciprocalProfile(bool 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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[[nodiscard]] bool GetReciprocalProfile() const;
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};
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