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Jungfraujoch/common/ImageFormatSettings.cpp
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leonarski_f 4878318c27
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v1.0.0-rc.139 (#49)
This is an UNSTABLE release. The release has significant modifications and bug fixes, if things go wrong, it is better to revert to 1.0.0-rc.132.

* jfjoch_broker: Further reduce startup time for DECTRIS detectors by selectively modifying SIMPLON parameters on `/start`
* jfjoch_broker: Further reduce startup time for DECTRIS detectors by not setting beam center and detector distance via SIMPLON API on '/start'
* jfjoch_broker: Add an extra message to ZeroMQ puller ready to monitor Lite worklow preparation time
* jfjoch_broker: Image buffer configuration is postponed for Lite receiver flow till start message is received
* jfjoch_broker: Use nanoseconds internally for frame/image/readout time
* jfjoch_broker: Extra messages added for receiver operation (to be removed after debugging finished)
* jfojch_broker: Improve profiling of different data analysis steps
* jfjoch_broker: Record integration reflection count
* jfjoch_broker: Fix bug where ZeroMQ preview frequency was confusing time units (micro vs. milliseconds)
* jfjoch_broker: Fix bug where '/wait_till_done' got deadlocked
* jfjoch_writer: Fix confusion between NaN and zero in floating-point datasets

**Breaking changes**: detector definition is now using nanoseconds to define minimum frame time, minimum count time and readout time.

Reviewed-on: #49
2026-04-29 09:50:50 +02:00

151 lines
4.5 KiB
C++

// SPDX-FileCopyrightText: 2024 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "ImageFormatSettings.h"
#include "JFJochException.h"
#include "Definitions.h"
#define check_max(param, val, max) if ((val) > (max)) throw JFJochException(JFJochExceptionCategory::InputParameterAboveMax, param)
#define check_min(param, val, min) if ((val) < (min)) throw JFJochException(JFJochExceptionCategory::InputParameterBelowMin, param)
#define check_finite(param, val) if (!std::isfinite(val)) throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, param)
ImageFormatSettings::ImageFormatSettings() {
jungfrau_conv_to_photon_counts = true;
auto_summation = true;
geometry_transformation = true;
mask_chip_edges = true;
mask_module_edges = true;
mask_pixels_without_g0 = true;
apply_pixel_mask = false;
pedestal_g0_rms_limit = 100;
}
ImageFormatSettings &ImageFormatSettings::GeometryTransformed(bool input) {
geometry_transformation = input;
return *this;
}
ImageFormatSettings &ImageFormatSettings::AutoSummation(bool input) {
auto_summation = input;
return *this;
}
ImageFormatSettings &ImageFormatSettings::PixelSigned(const std::optional<bool> &input) {
pixel_signed = input;
return *this;
}
ImageFormatSettings &ImageFormatSettings::JungfrauConvFactor_keV(const std::optional<float> &input) {
if (!input.has_value() || (input.value() == 0.0f))
jungfrau_conversion_factor_keV = {};
else {
check_min("JUNGFRAU conversion factor (keV)", input.value(), MIN_ENERGY_KEV);
check_max("JUNGFRAU conversion factor (keV)", input.value(), MAX_ENERGY_KEV);
jungfrau_conversion_factor_keV = input;
}
return *this;
}
ImageFormatSettings &ImageFormatSettings::BitDepthImage(const std::optional <int64_t> &input) {
if (!input.has_value() || (input.value() == 0))
bit_depth_image = {};
else if ((input.value() == 16) || (input.value() == 32) || (input.value() == 8))
bit_depth_image = input.value();
else
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "Bit depth of 8, 16, 32 or 0 (auto) allowed");
return *this;
}
bool ImageFormatSettings::IsGeometryTransformed() const {
return geometry_transformation;
}
bool ImageFormatSettings::IsAutoSummation() const {
return auto_summation;
}
std::optional<bool> ImageFormatSettings::IsPixelSigned() const {
return pixel_signed;
}
std::optional<float> ImageFormatSettings::GetJungfrauConvFactor_keV() const {
return jungfrau_conversion_factor_keV;
}
std::optional <int64_t> ImageFormatSettings::GetBitDepthImage() const {
return bit_depth_image;
}
void ImageFormatSettings::Raw() {
jungfrau_conv_to_photon_counts = false;
auto_summation = false;
geometry_transformation = false;
pixel_signed = false;
bit_depth_image = 16;
jungfrau_conversion_factor_keV = {};
}
void ImageFormatSettings::Conv() {
jungfrau_conv_to_photon_counts = true;
auto_summation = true;
geometry_transformation = true;
pixel_signed = {};
bit_depth_image = {};
jungfrau_conversion_factor_keV = {};
}
bool ImageFormatSettings::IsJungfrauConversion() const {
return jungfrau_conv_to_photon_counts;
}
ImageFormatSettings &ImageFormatSettings::JungfrauConversion(bool input) {
jungfrau_conv_to_photon_counts = input;
return *this;
}
ImageFormatSettings &ImageFormatSettings::MaskModuleEdges(bool input) {
mask_module_edges = input;
return *this;
}
ImageFormatSettings &ImageFormatSettings::MaskChipEdges(bool input) {
mask_chip_edges = input;
return *this;
}
bool ImageFormatSettings::IsMaskModuleEdges() const {
return mask_module_edges;
}
bool ImageFormatSettings::IsMaskChipEdges() const {
return mask_chip_edges;
}
ImageFormatSettings &ImageFormatSettings::ApplyPixelMask(bool input) {
apply_pixel_mask = input;
return *this;
}
ImageFormatSettings &ImageFormatSettings::MaskPixelsWithoutG0(bool input) {
mask_pixels_without_g0 = input;
return *this;
}
bool ImageFormatSettings::IsApplyPixelMask() const {
return apply_pixel_mask;
}
bool ImageFormatSettings::IsMaskPixelsWithoutG0() const {
return mask_pixels_without_g0;
}
ImageFormatSettings &ImageFormatSettings::PedestalG0RMSLimit(float value) {
check_min("Pedestal G0 RMS limit", value, 0);
pedestal_g0_rms_limit = value;
return *this;
}
float ImageFormatSettings::GetPedestalG0RMSLimit() const {
return pedestal_g0_rms_limit;
}