Abstract

A new approach to cluster and hit finding in muon chambers of the ALICE forward spectrometer has been developed. The approach is based on the maximum likelihood-expectation maximization (MLEM) algorithm or Bayesian unfolding. The method allows improving the hit reconstruction accuracy for the background contaminated events by making use of the pad charge distribution deconvolution.

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