mazzol_a
6ff664f812
- passing mask to ClusterVector - creates a copy of the ClusterVector Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
1.6 KiB
ClusterVector
The ClusterVector, holds clusters from the ClusterFinder. Since it is
templated in C++ we use a suffix indicating the type of cluster it
holds. The suffix follows the same pattern as for ClusterFile i.e.
ClusterVector_Cluster3x3i for a vector holding 3x3 integer
clusters.
At the moment the functionality from python is limited and it is not supported to push_back clusters to the vector. The intended use case is to pass it to C++ functions that support the ClusterVector or to view it as a numpy array.
View ClusterVector as numpy array
from aare import ClusterFile
with ClusterFile("path/to/file") as f:
cluster_vector = f.read_frame()
# Create a copy of the cluster data in a numpy array
clusters = np.array(cluster_vector)
# Avoid copying the data by passing copy=False
clusters = np.array(cluster_vector, copy = False)ClusterVector
Below is the API of the ClusterVector_Cluster3x3i but all variants share the same API.
aare._aare.ClusterVector_Cluster3x3i
Free Functions:
reduce_to_3x3
Reduce a single Cluster to 3x3 by taking the 3x3 subcluster with highest photon energy.
reduce_to_2x2
Reduce a single Cluster to 2x2 by taking the 2x2 subcluster with highest photon energy.