Cluster¶

template<typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY, typename CoordType = uint16_t> struct Cluster¶

Cluster struct.

Public Types

using value_type = T ¶

using coord_type = CoordType ¶

Public Functions

inline T sum() const¶: Sum of all elements in the cluster.

inline Sum_index_pair<T, corner> max_sum_2x2() const¶

sum of 2x2 subcluster with highest energy

Returns:: photon energy of subcluster, 2x2 subcluster index relative to cluster center

Public Members

CoordType x¶: Cluster center x coordinate (in pixel coordinates)

CoordType y¶: Cluster center y coordinate (in pixel coordinates)

std::array<T, ClusterSizeX * ClusterSizeY> data¶: Cluster data stored in row-major order starting from top-left.

Public Static Attributes

static uint8_t cluster_size_x = ClusterSizeX ¶

static uint8_t cluster_size_y = ClusterSizeY ¶

Free Functions:

template<typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY, typename CoordType = int16_t> Cluster<T, 3, 3, CoordType> aare::reduce_to_3x3(const Cluster<T, ClusterSizeX, ClusterSizeY, CoordType> &c)¶

Reduce a cluster to a 3x3 cluster.

Parameters:: c – Cluster to reduce
Returns:: reduced cluster

template<typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY, typename CoordType = uint16_t> Cluster<T, 2, 2, CoordType> aare::reduce_to_2x2(const Cluster<T, ClusterSizeX, ClusterSizeY, CoordType> &c)¶

Reduce a cluster to a 2x2 cluster by selecting the 2x2 block with the highest sum.

Note

The cluster is filled using row major ordering starting at the top-left (thus for a max subcluster in the top left cornern the photon hit is at the fourth position)

Parameters:: c – Cluster to reduce
Returns:: reduced cluster