Files
Jungfraujoch/tests/PedestalCalcTest.cpp

179 lines
6.1 KiB
C++

// Copyright (2019-2023) Paul Scherrer Institute
#include <random>
#include <catch2/catch_all.hpp>
#include "../jungfrau/JFPedestalCalc.h"
TEST_CASE("JFPedestalCalc", "[JFPedestalCalc]") {
for (int gain_level = 0; gain_level < 3; gain_level++) {
uint16_t base_value;
uint16_t wrong_value;
uint16_t mask_value;
DiffractionExperiment x(DetectorGeometry(1));
switch (gain_level) {
case 1:
base_value = 0x4000;
wrong_value = 0xc000;
mask_value = 4;
x.Mode(DetectorMode::PedestalG1);
break;
case 2:
base_value = 0xc000;
wrong_value = 0;
mask_value = 8;
x.Mode(DetectorMode::PedestalG2);
break;
default:
base_value = 0;
wrong_value = 0x4000;
mask_value = 2;
x.Mode(DetectorMode::Conversion);
break;
}
std::vector<uint16_t> image(RAW_MODULE_SIZE, base_value);
for (int i = 0; i < RAW_MODULE_SIZE; i++)
image[i] += i;
image[2] = wrong_value;
JFPedestalCalc calc(x);
// Predictable random number generator
std::mt19937 g1(0);
std::normal_distribution<double> distribution(12000.0, 12.5);
for (int i = 0; i < 299; i++) {
image[3] = base_value + distribution(g1);
calc.AnalyzeImage(image.data());
}
image[3] = base_value + distribution(g1);
image[0] = wrong_value;
image[1] = wrong_value;
image[2] = base_value;
calc.AnalyzeImage(image.data());
JFModulePedestal calib;
// Previously these bits were part of the mask - checking if they are cleared properly
calib.GetPedestalMask()[3] = mask_value;
calib.GetPedestalMask()[1] = mask_value;
calc.Export(calib, 1);
for (int i = 4; i < RAW_MODULE_COLS; i++)
REQUIRE(calib.GetPedestal()[i] == i);
REQUIRE(calib.GetPedestal()[3] > 11900.0);
REQUIRE(calib.GetPedestal()[3] < 12100.0);
REQUIRE(calib.GetPedestal()[0] == 0);
REQUIRE(calib.GetPedestalMask()[0] == 0);
REQUIRE(calib.GetPedestalMask()[1] == 0);
REQUIRE(calib.GetPedestalMask()[2] == mask_value); // Wrong gain
REQUIRE(calib.GetPedestalMask()[3] == 0);
calc.Export(calib, 0);
auto pedestal = calib.GetPedestal();
for (int i = 4; i < RAW_MODULE_COLS; i++) {
REQUIRE(pedestal[i] == i);
}
REQUIRE(calib.GetPedestalMask()[3] == 0); // RMS condition
REQUIRE(calib.GetPedestalMask()[2] == mask_value); // Wrong gain
REQUIRE(calib.GetPedestalMask()[1] == mask_value); // Wrong gain
REQUIRE(calib.GetPedestalMask()[0] == mask_value); // Wrong gain
}
}
TEST_CASE("PedestalCalc_ImagesLessThanWindow", "[JFPedestalCalc]") {
DiffractionExperiment x(DetectorGeometry(1));
x.Mode(DetectorMode::PedestalG2);
JFModulePedestal calib;
JFPedestalCalc calc(x);
// No images at all
calc.Export(calib);
REQUIRE(calib.GetPedestal()[0] == PEDESTAL_WRONG);
REQUIRE(calib.GetPedestalMask()[511*1024+33] == 1 << 3);
std::vector<uint16_t> image(RAW_MODULE_SIZE, 0xc000 + 12000);
for (int i = 0; i < PEDESTAL_WINDOW_SIZE - 1; i++)
calc.AnalyzeImage(image.data());
// 127 images
calc.Export(calib);
REQUIRE(calib.GetPedestal()[0] == PEDESTAL_WRONG);
REQUIRE(calib.GetPedestalMask()[511*1024+33] == 1 << 3);
size_t cnt = 0;
for (int i = 0; i < RAW_MODULE_SIZE; i++)
if (calib.GetPedestalMask()[i] != 0) cnt++;
REQUIRE(cnt == RAW_MODULE_SIZE);
// 128 images
calc.AnalyzeImage(image.data());
calc.Export(calib);
REQUIRE(calib.GetPedestal()[0] == 12000);
REQUIRE(calib.GetPedestalMask()[0] == 0);
REQUIRE(calib.GetPedestal()[511*1024+33] == 12000);
REQUIRE(calib.GetPedestalMask()[511*1024+33] == 0);
}
TEST_CASE("JFPedestal_line0","[JFModulePedestal]") {
DiffractionExperiment x(DetectorGeometry(1));
x.Mode(DetectorMode::PedestalG0);
JFModulePedestal calib;
std::vector<uint16_t> image(RAW_MODULE_SIZE);
for (int i = 0; i < RAW_MODULE_SIZE; i++)
image[i] = i / RAW_MODULE_COLS; // per line number
JFPedestalCalc calc1(x,128, 384);
for (int i = 0; i < PEDESTAL_WINDOW_SIZE; i++)
calc1.AnalyzeImage(image.data());
calc1.Export(calib);
REQUIRE(calib.GetPedestal()[16 * RAW_MODULE_COLS] == 0);
REQUIRE(calib.GetPedestalMask()[0] == 0);
REQUIRE(calib.GetPedestal()[384 * RAW_MODULE_COLS] == 384);
REQUIRE(calib.GetPedestal()[432 * RAW_MODULE_COLS + 67] == 432);
REQUIRE(calib.GetPedestal()[RAW_MODULE_SIZE - 1] == 511);
for (int i = 384 * RAW_MODULE_COLS; i < RAW_MODULE_SIZE; i++)
image[i] = 0; // clear image for the already processed part - this is to ensure that second pass will not recalculate this part
JFPedestalCalc calc2(x,128, 0);
for (int i = 0; i < PEDESTAL_WINDOW_SIZE; i++)
calc2.AnalyzeImage(image.data());
calc2.Export(calib);
REQUIRE(calib.GetPedestal()[0] == 0);
REQUIRE(calib.GetPedestal()[16 * RAW_MODULE_COLS] == 16);
REQUIRE(calib.GetPedestal()[256 * RAW_MODULE_COLS] == 0);
REQUIRE(calib.GetPedestal()[384 * RAW_MODULE_COLS] == 384);
REQUIRE(calib.GetPedestal()[432 * RAW_MODULE_COLS + 67] == 432);
REQUIRE(calib.GetPedestal()[RAW_MODULE_SIZE - 1] == 511);
uint64_t wrong_mask = 0;
for (int i = 0; i < RAW_MODULE_SIZE; i++) {
if (calib.GetPedestalMask()[i] != 0) wrong_mask++;
}
REQUIRE(wrong_mask == 0);
}
TEST_CASE("JFPedestal_wrong_size","[JFModulePedestal]") {
DiffractionExperiment x(DetectorGeometry(1));
std::unique_ptr<JFPedestalCalc> calc;
REQUIRE_THROWS(calc = std::make_unique<JFPedestalCalc>(x, -1));
REQUIRE_THROWS(calc = std::make_unique<JFPedestalCalc>(x, 0));
REQUIRE_THROWS(calc = std::make_unique<JFPedestalCalc>(x, 1, -1));
REQUIRE_THROWS(calc = std::make_unique<JFPedestalCalc>(x, 512, 1));
REQUIRE_THROWS(calc = std::make_unique<JFPedestalCalc>(x, 5120, 10));
}