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Jungfraujoch/image_analysis/image_preprocessing/SaturationCeiling.cpp
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v1.0.0-rc.178 (#88)
* Rugnux: Processes serial crystallography data from XFELs - SACLA (MPCCD), PAL-XFEL and European XFEL (CXI), LCLS (XTC) and SwissFEL Alvra (JUNGFRAU with a CrystFEL module geometry) - with several files or Jungfraujoch master files merged in one run (`rugnux *_master.h5`).
* Rugnux: Stills processing takes a known unit cell and space group as a starting point, finds the beam centre (and, with a cell, the detector distance) from the images, detects the saturation level in other facilities' files and refines the placement of individual detector panels.
* Rugnux: The stills report gives R_split and CC1/2 from frame half-sets, comparable with CrystFEL.
* jfjoch_viewer: Opens the same XFEL file formats.
* Validation: A stills battery checks Rugnux against deposited structures from SACLA, PAL-XFEL, LCLS, European XFEL and SwissFEL.
* Rugnux: More reliable convergence of rotation scaling, and live molecular replacement starts as soon as the model is uploaded.
* jfjoch_broker: Initialize clears the previous dataset's bearer tokens, image buffer and live Rugnux status, and a slow CUDA JIT cache is reported at start.

Reviewed-on: #88
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-10-21 11:20:01 +02:00

47 lines
1.3 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "SaturationCeiling.h"
#include <algorithm>
#include <cmath>
namespace saturation_ceiling {
namespace {
int Bin(int64_t value) {
return static_cast<int>(std::floor(std::log2(static_cast<double>(value) / FLOOR) * BINS_PER_OCTAVE));
}
int64_t LowerEdge(int bin) {
return static_cast<int64_t>(std::ceil(FLOOR * std::exp2(static_cast<double>(bin) / BINS_PER_OCTAVE)));
}
} // namespace
void Add(Histogram &h, int64_t value) {
if (value < FLOOR)
return;
const int b = Bin(value);
if (b < N_BINS)
h[b]++;
}
void Add(Histogram &h, const std::vector<int32_t> &values, const std::vector<uint32_t> &mask) {
for (size_t i = 0; i < values.size(); i++)
if (i >= mask.size() || mask[i] == 0)
Add(h, values[i]);
}
std::optional<int64_t> Ceiling(const Histogram &h) {
for (int b = WINDOW; b < N_BINS; b++) {
const uint64_t below = *std::max_element(h.begin() + b - WINDOW, h.begin() + b);
if (h[b] >= MIN_PIXELS && static_cast<double>(h[b]) > RISE * static_cast<double>(below))
return LowerEdge(b);
}
return std::nullopt;
}
} // namespace saturation_ceiling