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Jungfraujoch/reader/JFJochXTCReader.cpp
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leonarski_f b00c668e3a
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v1.0.0-rc.179 (#90)
* Rugnux: Stills processing needs only the unit cell and space group beyond what the file records - detector distance, beam centre, tilt, panel placement, saturation level, gain and polarisation plane are found from the images - and is up to twice as fast.
* Rugnux: Stills can be indexed without a GPU, with a CPU implementation of the fast-feedback indexer (macOS, computers without a GPU).
* Rugnux: Rotation and stills data are integrated in the detector's own units with one gain model, improving data from CCD detectors.
* Web frontend: The Rugnux live page shows the placed model with its electron density and anomalous difference map in a Mol* viewer.

Reviewed-on: #90
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-10-24 14:52:29 +02:00

214 lines
9.9 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "JFJochXTCReader.h"
#include <algorithm>
#include <atomic>
#include <cmath>
#include <future>
#include <map>
#include <numeric>
#include <thread>
#include "../common/JFJochException.h"
#include "../common/Logger.h"
namespace {
// The pixel size of a Rayonix image, from the model name - an MX340-HS is 340 mm across - and the
// image's width. Only where the width times the binning is a whole readout of 3840, 5760 or 7680
// pixels, i.e. no region of interest was read out.
std::optional<double> RayonixPixel_um(const std::string &model, uint32_t binning, uint32_t width) {
if (!model.starts_with("MX") || binning == 0)
return std::nullopt;
const auto digits = model.substr(2, model.find_first_not_of("0123456789", 2) - 2);
if (digits.empty())
return std::nullopt;
const uint64_t native = static_cast<uint64_t>(width) * binning;
if (native != 3840 && native != 5760 && native != 7680)
return std::nullopt;
return std::stod(digits) * 1000.0 / width;
}
} // namespace
bool JFJochXTCReader::CanRead(const std::string &path) {
return xtc::CanRead(path);
}
void JFJochXTCReader::ReadFiles(const std::vector<std::string> &streams) {
Close();
Logger logger("XTCReader");
std::vector<xtc::Frame> all;
std::vector<double> energies;
std::string model;
uint32_t binning = 0;
size_t damaged = 0;
// The streams are indexed in parallel: each is a walk of small reads from one place in the file to the
// next, which on a run not in the page cache waits on the disk one read at a time.
std::vector<xtc::Index> indices(streams.size());
{
std::atomic<size_t> next = 0;
const size_t nthreads = std::min<size_t>(streams.size(), std::max(1u, std::thread::hardware_concurrency()));
std::vector<std::future<void>> workers;
for (size_t t = 0; t < nthreads; t++)
workers.push_back(std::async(std::launch::async, [&] {
for (size_t i = next.fetch_add(1); i < streams.size(); i = next.fetch_add(1))
indices[i] = xtc::IndexFile(streams[i]);
}));
for (auto &w: workers)
w.get();
}
for (size_t s = 0; s < streams.size(); s++) {
const auto &stream = streams[s];
const auto &index = indices[s];
all.insert(all.end(), index.frames.begin(), index.frames.end());
energies.insert(energies.end(), index.photon_energy_eV.begin(), index.photon_energy_eV.end());
if (!index.rayonix_model.empty()) {
model = index.rayonix_model;
binning = index.rayonix_binning;
}
damaged += index.damaged;
if (index.truncated)
logger.Warning("{} ends inside its last event, which is left out", stream);
}
// The diffraction detector is the camera with the largest image. Another camera of the same size
// would make that choice a guess, so it is refused; an event without it is left out.
std::map<uint64_t, uint64_t> area;
for (const auto &f: all)
area[f.source] = static_cast<uint64_t>(f.width) * f.height;
if (area.empty())
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"No camera images found in the XTC streams given");
const auto largest = std::max_element(area.begin(), area.end(),
[](const auto &a, const auto &b) { return a.second < b.second; });
if (std::count_if(area.begin(), area.end(), [&](const auto &a) { return a.second == largest->second; }) > 1)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"The XTC streams hold images of the same size from more than one camera; which is the "
"diffraction detector is not clear");
for (const auto &f: all)
if (f.source == largest->first)
frames_.push_back(f);
for (const auto &f: frames_)
if (f.width != frames_.front().width || f.height != frames_.front().height)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
f.file + ": the images are not all the same size");
if (damaged > 0)
logger.Warning("{} damaged, compressed or unknown-version images left out", damaged);
const auto &f0 = frames_.front();
if (!energies.empty())
photon_energy_eV_ = std::accumulate(energies.begin(), energies.end(), 0.0) / static_cast<double>(energies.size());
pixel_um_ = RayonixPixel_um(model, binning, f0.width);
dataset_ = std::make_shared<JFJochReaderDataset>();
dataset_->experiment = default_experiment;
DetectorSetup detector = DetDECTRIS(f0.width, f0.height, model.empty() ? "XTC camera" : model, {});
// A CCD: the phosphor converts at the surface, so there is no depth to correct parallax for.
detector.SensorThickness_um(0);
detector.SaturationLimit(65535);
detector.BitDepthImage(32);
detector.MinFrameTime(std::chrono::microseconds(0));
detector.MinCountTime(std::chrono::microseconds(0));
detector.ReadOutTime(std::chrono::nanoseconds(0));
if (pixel_um_)
detector.PixelSize_um(static_cast<float>(*pixel_um_));
dataset_->experiment.Detector(detector);
dataset_->experiment.BeamX_pxl(0.5f * static_cast<float>(f0.width));
dataset_->experiment.BeamY_pxl(0.5f * static_cast<float>(f0.height));
if (photon_energy_eV_)
dataset_->experiment.IncidentEnergy_keV(static_cast<float>(*photon_energy_eV_ / 1000.0));
logger.Info("{} images in XTC ({}); {}; {}; one flat panel centred on the beam", frames_.size(),
model.empty() ? "camera" : model,
photon_energy_eV_ ? fmt::format("photon energy {:.1f} eV, the mean of {} beam records",
*photon_energy_eV_, energies.size())
: std::string("no beam records"),
pixel_um_ ? fmt::format("{:.2f} um pixels ({}x{} binning)", *pixel_um_, binning, binning)
: std::string("pixel size not stated"));
dataset_->error_value = -1;
dataset_->experiment.ImagesPerTrigger(static_cast<int64_t>(frames_.size()));
dataset_->pixel_mask = std::make_shared<const PixelMask>(f0.width, f0.height);
SetStartMessage(dataset_);
}
void JFJochXTCReader::ApplyGain(float adu_per_photon) {
adu_per_photon_ = adu_per_photon;
counts_in_photons_ = true;
dataset_->experiment.Detector().SaturationLimit(static_cast<int64_t>(std::floor(65535.0f / adu_per_photon)));
SetStartMessage(dataset_);
}
uint64_t JFJochXTCReader::GetNumberOfImages() const {
return frames_.size();
}
void JFJochXTCReader::Close() {
frames_.clear();
dataset_.reset();
photon_energy_eV_.reset();
pixel_um_.reset();
adu_per_photon_ = 1.0f;
counts_in_photons_ = false;
}
template <class Buffer>
CompressedImage JFJochXTCReader::DecodeInto(int64_t image_number, Buffer &buffer,
std::vector<uint8_t> &scratch) const {
if (image_number < 0 || static_cast<size_t>(image_number) >= frames_.size())
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "Image number out of range");
const auto &f = frames_[image_number];
const size_t npixel = static_cast<size_t>(f.width) * f.height;
buffer.resize(npixel * sizeof(int32_t));
scratch.resize(npixel * sizeof(uint16_t));
xtc::ReadPixels(f, reinterpret_cast<uint16_t *>(scratch.data()));
const auto in = reinterpret_cast<const uint16_t *>(scratch.data());
auto out = reinterpret_cast<int32_t *>(buffer.data());
const auto offset = static_cast<int32_t>(f.pixel_offset);
for (size_t i = 0; i < npixel; i++)
out[i] = static_cast<int32_t>(in[i]) - offset;
if (adu_per_photon_ != 1.0f)
for (size_t i = 0; i < npixel; i++)
out[i] = static_cast<int32_t>(std::lround(static_cast<float>(out[i]) / adu_per_photon_));
return CompressedImage(buffer.data(), buffer.size(), f.width, f.height,
CompressedImageMode::Int32, CompressionAlgorithm::NO_COMPRESSION);
}
bool JFJochXTCReader::LoadImage_i(std::shared_ptr<JFJochReaderDataset> &dataset,
DataMessage &message,
std::vector<uint8_t> &buffer,
int64_t image_number,
bool update_dataset) {
(void) update_dataset;
if (!dataset || image_number < 0 || static_cast<size_t>(image_number) >= frames_.size())
return false;
std::vector<uint8_t> scratch;
message.image = DecodeInto(image_number, buffer, scratch);
message.number = image_number;
return true;
}
bool JFJochXTCReader::ReadRawImage(int64_t image_number, JFJochReaderRawImage &image) {
if (image_number < 0 || static_cast<size_t>(image_number) >= frames_.size())
return false;
const auto &f = frames_[image_number];
if (f.pixel_offset == 0 && adu_per_photon_ == 1.0f) {
// The pixels as the file stores them, two bytes each, where there is nothing to take off or divide
// by: the consumer widens them, on the device where there is one.
image.image_buffer.resize(static_cast<size_t>(f.width) * f.height * sizeof(uint16_t));
xtc::ReadPixels(f, reinterpret_cast<uint16_t *>(image.image_buffer.data()));
image.image = CompressedImage(image.image_buffer.data(), image.image_buffer.size(), f.width, f.height,
CompressedImageMode::Int32, CompressionAlgorithm::UINT16_WIDENED);
return true;
}
image.image = DecodeInto(image_number, image.image_buffer, image.read_buffer);
return true;
}
std::vector<SpotToSave> JFJochXTCReader::ReadSpots(int64_t) const {
return {}; // raw XTC stores no analysis results
}