Currently, we take the max probability outputed by the NNs on the particle identification (PID), with additional logic that if muon NN being above some threshold we take particle to be a muon. I did try a ML approach using the probs as features but had worse performance
Currently, we take the max probability outputed by the NNs on the particle identification (PID), with additional logic that if muon NN being above some threshold we take particle to be a muon. I did try a ML approach using the probs as features but had worse performance