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aare/include/aare/CalculateEta.hpp
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Dev/interpolation documentation (#255)
- added transform_eta_values for easier debugging more control for the
user
- updated Documentation
2025-12-16 13:06:28 +01:00

447 lines
14 KiB
C++

// SPDX-License-Identifier: MPL-2.0
#pragma once
#include "aare/Cluster.hpp"
#include "aare/ClusterVector.hpp"
#include "aare/NDArray.hpp"
#include "aare/defs.hpp"
namespace aare {
enum class pixel : int {
pBottomLeft = 0,
pBottom = 1,
pBottomRight = 2,
pLeft = 3,
pCenter = 4,
pRight = 5,
pTopLeft = 6,
pTop = 7,
pTopRight = 8
};
// TODO: better to have sum after x,y
/**
* eta struct
*/
template <typename T> struct Eta2 {
/// @brief eta in x direction
double x{};
/// @brief eta in y direction
double y{};
/// @brief index of subcluster with highest energy value (given as corner
/// relative to cluster center)
corner c{0};
/// @brief photon energy (cluster sum)
T sum{};
};
/**
* @brief Calculate the eta2 values for all clusters in a ClusterVector
*/
template <typename ClusterType,
typename = std::enable_if_t<is_cluster_v<ClusterType>>>
std::vector<Eta2<typename ClusterType::value_type>>
calculate_eta2(const ClusterVector<ClusterType> &clusters) {
std::vector<Eta2<typename ClusterType::value_type>> eta2{};
eta2.reserve(clusters.size());
for (size_t i = 0; i < clusters.size(); i++) {
auto e = calculate_eta2(clusters[i]);
eta2.push_back(e);
}
return eta2;
}
/**
* @brief Calculate the full eta2 values for all clusters in a ClusterVector
*/
template <typename ClusterType,
typename = std::enable_if_t<is_cluster_v<ClusterType>>>
std::vector<Eta2<typename ClusterType::value_type>>
calculate_full_eta2(const ClusterVector<ClusterType> &clusters) {
std::vector<Eta2<typename ClusterType::value_type>> eta2{};
eta2.reserve(clusters.size());
for (size_t i = 0; i < clusters.size(); i++) {
auto e = calculate_full_eta2(clusters[i]);
eta2.push_back(e);
}
return eta2;
}
/**
* @brief Calculate eta3 for all 3x3 clusters in a ClusterVector
*/
template <typename ClusterType,
typename = std::enable_if_t<is_cluster_v<ClusterType>>>
std::vector<Eta2<typename ClusterType::value_type>>
calculate_eta3(const ClusterVector<ClusterType> &clusters) {
std::vector<Eta2<typename ClusterType::value_type>> eta2{};
eta2.reserve(clusters.size());
for (size_t i = 0; i < clusters.size(); i++) {
auto e = calculate_eta3(clusters[i]);
eta2.push_back(e);
}
return eta2;
}
/**
* @brief Calculate cross eta3 for all 3x3 clusters in a ClusterVector
*/
template <typename ClusterType,
typename = std::enable_if_t<is_cluster_v<ClusterType>>>
std::vector<Eta2<typename ClusterType::value_type>>
calculate_cross_eta3(const ClusterVector<ClusterType> &clusters) {
std::vector<Eta2<typename ClusterType::value_type>> eta2{};
eta2.reserve(clusters.size());
for (size_t i = 0; i < clusters.size(); i++) {
auto e = calculate_cross_eta3(clusters[i]);
eta2.push_back(e);
}
return eta2;
}
/**
* @brief helper function to calculate eta2 x and y values
* @param eta reference to the Eta2 object to update
* @param left_x value of the left pixel
* @param right_x value of the right pixel
* @param bottom_y value of the bottom pixel
* @param top_y value of the top pixel
*/
template <typename T>
inline void calculate_eta2(Eta2<T> &eta, const T left_x, const T right_x,
const T bottom_y, const T top_y) {
if ((right_x + left_x) != 0)
eta.x = static_cast<double>(right_x) /
static_cast<double>(right_x + left_x); // between (0,1) the
// closer to zero left
// value probably larger
if ((top_y + bottom_y) != 0)
eta.y = static_cast<double>(top_y) /
static_cast<double>(top_y + bottom_y); // between (0,1) the
// closer to zero bottom
// value probably larger
}
/**
* @brief Calculate the eta2 values for a generic sized cluster and return them
* in a Eta2 struct containing etay, etax and the index (as corner) of the
* respective 2x2 subcluster relative to the cluster center.
*/
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
Eta2<T>
calculate_eta2(const Cluster<T, ClusterSizeX, ClusterSizeY, CoordType> &cl) {
static_assert(ClusterSizeX > 1 && ClusterSizeY > 1);
Eta2<T> eta{};
size_t cluster_center_index =
(ClusterSizeX / 2) + (ClusterSizeY / 2) * ClusterSizeX;
auto max_sum = cl.max_sum_2x2();
eta.sum = max_sum.sum;
corner c = max_sum.index;
// subcluster top right from center
switch (c) {
case (corner::cTopLeft):
calculate_eta2(eta, cl.data[cluster_center_index - 1],
cl.data[cluster_center_index],
cl.data[cluster_center_index - ClusterSizeX],
cl.data[cluster_center_index]);
// dx = -1
// dy = -1
break;
case (corner::cTopRight):
calculate_eta2(eta, cl.data[cluster_center_index],
cl.data[cluster_center_index + 1],
cl.data[cluster_center_index - ClusterSizeX],
cl.data[cluster_center_index]);
// dx = 0
// dy = -1
break;
case (corner::cBottomLeft):
calculate_eta2(eta, cl.data[cluster_center_index - 1],
cl.data[cluster_center_index],
cl.data[cluster_center_index],
cl.data[cluster_center_index + ClusterSizeX]);
// dx = -1
// dy = 0
break;
case (corner::cBottomRight):
calculate_eta2(eta, cl.data[cluster_center_index],
cl.data[cluster_center_index + 1],
cl.data[cluster_center_index],
cl.data[cluster_center_index + ClusterSizeX]);
// dx = 0
// dy = 0
break;
}
eta.c = c;
return eta;
}
/**
* @brief Calculate the eta2 values for a generic sized cluster and return them
* in a Eta2 struct containing etay, etax and the index (as corner) of the
* respective 2x2 subcluster relative to the cluster center.
*/
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType>
Eta2<T> calculate_full_eta2(
const Cluster<T, ClusterSizeX, ClusterSizeY, CoordType> &cl) {
static_assert(ClusterSizeX > 1 && ClusterSizeY > 1);
Eta2<T> eta{};
constexpr size_t cluster_center_index =
(ClusterSizeX / 2) + (ClusterSizeY / 2) * ClusterSizeX;
auto max_sum = cl.max_sum_2x2();
eta.sum = max_sum.sum;
corner c = max_sum.index;
// subcluster top right from center
switch (c) {
case (corner::cTopLeft):
if (eta.sum != 0) {
eta.x = static_cast<double>(
cl.data[cluster_center_index] +
cl.data[cluster_center_index - ClusterSizeX]) /
static_cast<double>(eta.sum);
eta.y = static_cast<double>(cl.data[cluster_center_index - 1] +
cl.data[cluster_center_index]) /
static_cast<double>(eta.sum);
}
// dx = -1
// dy = -1
break;
case (corner::cTopRight):
if (eta.sum != 0) {
eta.x = static_cast<double>(
cl.data[cluster_center_index + 1] +
cl.data[cluster_center_index - ClusterSizeX + 1]) /
static_cast<double>(eta.sum);
eta.y = static_cast<double>(cl.data[cluster_center_index] +
cl.data[cluster_center_index + 1]) /
static_cast<double>(eta.sum);
}
// dx = 0
// dy = -1
break;
case (corner::cBottomLeft):
if (eta.sum != 0) {
eta.x = static_cast<double>(
cl.data[cluster_center_index] +
cl.data[cluster_center_index + ClusterSizeX]) /
static_cast<double>(eta.sum);
eta.y = static_cast<double>(
cl.data[cluster_center_index + ClusterSizeX] +
cl.data[cluster_center_index + ClusterSizeX - 1]) /
static_cast<double>(eta.sum);
}
// dx = -1
// dy = 0
break;
case (corner::cBottomRight):
if (eta.sum != 0) {
eta.x = static_cast<double>(
cl.data[cluster_center_index + 1] +
cl.data[cluster_center_index + ClusterSizeX + 1]) /
static_cast<double>(eta.sum);
eta.y = static_cast<double>(
cl.data[cluster_center_index + ClusterSizeX] +
cl.data[cluster_center_index + ClusterSizeX + 1]) /
static_cast<double>(eta.sum);
}
// dx = 0
// dy = 0
break;
}
eta.c = c;
return eta;
}
template <typename T>
Eta2<T> calculate_eta2(const Cluster<T, 2, 2, uint16_t> &cl) {
Eta2<T> eta{};
// TODO: maybe have as member function of cluster
const uint8_t photon_hit_index =
std::max_element(cl.data.begin(), cl.data.end()) - cl.data.begin();
eta.c = static_cast<corner>(3 - photon_hit_index);
switch (eta.c) {
case corner::cTopLeft:
calculate_eta2(eta, cl.data[2], cl.data[3], cl.data[1], cl.data[3]);
break;
case corner::cTopRight:
calculate_eta2(eta, cl.data[2], cl.data[3], cl.data[0], cl.data[2]);
break;
case corner::cBottomLeft:
calculate_eta2(eta, cl.data[0], cl.data[1], cl.data[1], cl.data[3]);
break;
case corner::cBottomRight:
calculate_eta2(eta, cl.data[0], cl.data[1], cl.data[0], cl.data[2]);
break;
}
eta.sum = cl.sum();
return eta;
}
template <typename T>
Eta2<T> calculate_full_eta2(const Cluster<T, 2, 2, uint16_t> &cl) {
Eta2<T> eta{};
eta.sum = cl.sum();
const uint8_t photon_hit_index =
std::max_element(cl.data.begin(), cl.data.end()) - cl.data.begin();
eta.c = static_cast<corner>(3 - photon_hit_index);
if (eta.sum != 0) {
eta.x = static_cast<double>(cl.data[1] + cl.data[3]) /
static_cast<double>(eta.sum);
eta.y = static_cast<double>(cl.data[2] + cl.data[3]) /
static_cast<double>(eta.sum);
}
return eta;
}
// TODO generalize
template <typename T>
Eta2<T> calculate_eta2(const Cluster<T, 1, 2, uint16_t> &cl) {
Eta2<T> eta{};
eta.x = 0;
eta.y = static_cast<double>(cl.data[1]) / cl.data[0];
eta.sum = cl.sum();
}
template <typename T>
Eta2<T> calculate_eta2(const Cluster<T, 2, 1, uint16_t> &cl) {
Eta2<T> eta{};
eta.x = static_cast<double>(cl.data[1]) / cl.data[0];
eta.y = 0;
eta.sum = cl.sum();
}
/**
* @brief calculates cross Eta3 for 3x3 cluster
* cross Eta3 calculates the eta by taking into account only the cross pixels
* {top, bottom, left, right, center}
*/
template <typename T, typename CoordType = uint16_t>
Eta2<T> calculate_cross_eta3(const Cluster<T, 3, 3, CoordType> &cl) {
Eta2<T> eta{};
T photon_energy = cl.sum();
eta.sum = photon_energy;
if ((cl.data[3] + cl.data[4] + cl.data[5]) != 0)
eta.x =
static_cast<double>(-cl.data[3] + cl.data[3 + 2]) /
static_cast<double>(cl.data[3] + cl.data[4] + cl.data[5]); // (-1,1)
if ((cl.data[1] + cl.data[4] + cl.data[7]) != 0)
eta.y = static_cast<double>(-cl.data[1] + cl.data[2 * 3 + 1]) /
static_cast<double>(cl.data[1] + cl.data[4] + cl.data[7]);
return eta;
}
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
Eta2<T> calculate_cross_eta3(
const Cluster<T, ClusterSizeX, ClusterSizeY, CoordType> &cl) {
static_assert(ClusterSizeX > 2 && ClusterSizeY > 2,
"calculate_eta3 only defined for clusters larger than 2x2");
if constexpr (ClusterSizeX != 3 || ClusterSizeY != 3) {
auto reduced_cluster = reduce_cluster_to_3x3(cl);
return calculate_cross_eta3(reduced_cluster);
} else {
return calculate_cross_eta3(cl);
}
}
/**
* @brief calculates Eta3 for 3x3 cluster
* It calculates the eta by taking into account all pixels in the 3x3 cluster
*/
template <typename T, typename CoordType = uint16_t>
Eta2<T> calculate_eta3(const Cluster<T, 3, 3, CoordType> &cl) {
Eta2<T> eta{};
T photon_energy = cl.sum();
eta.sum = photon_energy;
// TODO: how do we handle potential arithmetic overflows? - T could be
// uint16
if (photon_energy != 0) {
std::array<T, 2> column_sums{
static_cast<T>(cl.data[0] + cl.data[3] + cl.data[6]),
static_cast<T>(cl.data[2] + cl.data[5] + cl.data[8])};
eta.x = static_cast<double>(-column_sums[0] + column_sums[1]) /
static_cast<double>(photon_energy);
std::array<T, 2> row_sums{
static_cast<T>(cl.data[0] + cl.data[1] + cl.data[2]),
static_cast<T>(cl.data[6] + cl.data[7] + cl.data[8])};
eta.y = static_cast<double>(-row_sums[0] + row_sums[1]) /
static_cast<double>(photon_energy);
}
return eta;
}
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
Eta2<T>
calculate_eta3(const Cluster<T, ClusterSizeX, ClusterSizeY, CoordType> &cl) {
static_assert(ClusterSizeX > 2 && ClusterSizeY > 2,
"calculate_eta3 only defined for clusters larger than 2x2");
if constexpr (ClusterSizeX != 3 || ClusterSizeY != 3) {
auto reduced_cluster = reduce_cluster_to_3x3(cl);
return calculate_eta3(reduced_cluster);
} else {
return calculate_eta3(cl);
}
}
} // namespace aare