Feature #103
Updated by Ole Hansen almost 7 years ago
Standard (naive) GEM cluster analysis algorithm, copied from existing code. Finds adjacent strips with signal and generates clusters, subject to a maximum cluster size. Possible overlapping clusters are detected and splits according to a simple heuristic. This should take Takes deconvoluted GEM readout strip data as input and detects clusters of hits. The output are GEM hit data products, subject to a configurable threshold cut. At a later point, we'll develop alternative and/or more advanced algorithms. This would be a good application of machine learning techniques.