NUKLEONIKA 2004, 49(Supplement 2):s95-s98

HBT ANALYSIS IN ALICE WITH ITS STAND-ALONE AND COMBINED NEURAL TRACKING
(PRELIMINARY RESULTS)

Angela Badala1, Roberto Barbera1,2, Giuseppe Lo Re1,2, Armando Palmeri1, Giuseppe S. Pappalardo1, Alberto Pulvirenti1,2, Francesco Riggi1,2

1 Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 64 S. Sofia Str., 95123 Catania, Italy,
2 Dipartimento di Fisica e Astronomia dell’Università di Catania, 64 S. Sofia Str., 95123 Catania, Italy

A neural network based algorithm to perform track recognition in the ALICE Inner Tracking System (ITS) for high transverse momentum particles (pt > 1 GeV/c) is presented. The model is based on the Denby-Peterson scheme, with some original improvements which are necessary to cope with the large track density expected at ALICE. Results are shown for central Pb-Pb events at 5.5 ATeV in the center of mass system and the comparison with the Kalman filter results is included. Data coming from this tracking procedure are used for 1-dimensional HBT correlations and results are presented.