leonarski_fandClaude Fable 5
5737d2e1d0
The score's baseline was two adjacent shoulder bins with a bin-overlap bug - the ring's edge bins were counted in both the ring and the shoulder, since GetMeanValueOfBins is inclusive. At the typical (coarse) azint binning (dq ~ 0.05 in q, wider than the 0.03 ring half-width) a shoulder is only ~1 bin, so the ratio was noisy and poorly separated. Replace it with the ring intensity over a smooth whole-profile background: a running median of the non-ice bins, interpolated under each ring. Clean crystals now sit at ~1.0 and ice separates far more cleanly on /data/rotation_test: cytC 1.06->1.03, lysoC 1.23->2.77, EP_cs_01-17 1.67->4.51 (max 11.4). A z-score / abnormality probability was tried but is uninformative here - with many photons any real ice ring is highly significant, so the useful discriminator is the ice magnitude (this ratio), noted in CPU_DATA_ANALYSIS.md. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
53 lines
2.0 KiB
C++
53 lines
2.0 KiB
C++
// SPDX-FileCopyrightText: 2024 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 <vector>
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#include <mutex>
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#include "MultiLinePlot.h"
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#include "AzimuthalIntegrationMapping.h"
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#include "../fpga/pcie_driver/jfjoch_fpga.h" // DeviceOutput
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class AzimuthalIntegrationProfile {
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mutable std::mutex m;
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std::vector<float> sum;
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std::vector<float> sum2;
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std::vector<uint64_t> count;
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std::vector<float> bin_to_q;
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std::vector<float> bin_to_d;
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std::vector<float> bin_to_2theta;
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std::vector<float> bin_to_phi;
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std::vector<float> bin_to_q_1d;
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int32_t q_bins;
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int32_t azim_bins;
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std::string title;
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const std::vector<float>& GetXAxis(PlotAzintUnit unit) const;
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public:
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explicit AzimuthalIntegrationProfile(const AzimuthalIntegrationMapping &mapping);
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void Clear(const AzimuthalIntegrationMapping &mapping);
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void SetTitle(const std::string& input);
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void Add(const DeviceOutput &result);
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void Add(const std::vector<float> &sum,
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const std::vector<float> &sum2,
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const std::vector<uint32_t> &count);
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void Add(int64_t bin, int64_t value);
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std::vector<float> GetResult() const;
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std::vector<float> GetStd() const;
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std::vector<uint64_t> GetPixelCount() const;
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std::vector<float> GetResult1D() const;
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float GetMeanValueOfBins(uint16_t min_bin, uint16_t max_bin) const;
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float GetBkgEstimate(const AzimuthalIntegrationSettings& settings) const;
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// Single per-image ice indicator: the strongest hexagonal-ice ring's intensity relative to the smooth
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// radial background interpolated under it (1 = no ice, >1 = ice). See the .cpp for the background fit.
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float GetIceRingScore(const AzimuthalIntegrationSettings& settings, float half_width_q) const;
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MultiLinePlot GetPlot(bool force_1d = false, PlotAzintUnit plot_unit = PlotAzintUnit::Q_recipA) const;
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AzimuthalIntegrationProfile& operator+=(const AzimuthalIntegrationProfile& profile); // Not thread safe
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};
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