Investigating ITS-TPC matching (in)efficiency

• Selected were primaries with NCL > 60. Problem: Lower efficiency for NN regression algortihm, independent of cluster classification threshold.

Investigation of NN and CF regression performance

• CF regression finds more TPC tracks (0.15%) while NN regression produces more clusters (0.52%)

• CF[60:]-NN[60:] = -609    -> NN finds more tracks with NCL > 60
• CF[:60]-NN[:60] = 8955   -> CF finds a lot more short tracks that are not used in physics
• NN regression potentially reduces NCL for tracks with high NCL. For large clusters, a more accurate CoG will be "further away". Such clusters are actually bad -> get excluded in dE/dx calculation by truncated mean

Back to ITS-TPC matching:

• Number of found matches: 1.3% less matches for NN (global, no selection)
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