HBT analysis in ALICE with ITS stand-alone and combined neural tracking (preliminary results)

• Autorzy: Badala A. , Barbera R. , Lo Re G. , Palmeri A. , Pappalardo G. , Pulvirenti A. , Riggi F.
• Konferencja: Proceedings of the 2nd Warsaw Meeting on Particle Correlations and Resonances in Heavy Ion Collisions, 15-18 October 2003, Warsaw, Poland
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

intensity interferometry (HBT); neural networks; pattern recognition; track reconstruction; ALICE experiment

• Wydawca: Institute of Nuclear Chemistry and Technology
• Czasopismo: Nukleonika
• Rocznik: 2004
• Tom: Vol. 49,suppl.2
• Strony: 95--98
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Badala A.

• Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 64 S. Sofia Str., 95123 Catania, Italy

autor

Barbera R.

• Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 64 S. Sofia Str., 95123 Catania, Italy
• Dipartimento di Fisica e Astronomia dell’Università di Catania, 64 S. Sofia Str., 95123 Catania, Italy, Tel.: [phone], Fax: [phone]

autor

Lo Re G.

• Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 64 S. Sofia Str., 95123 Catania, Italy
• Dipartimento di Fisica e Astronomia dell’Università di Catania, 64 S. Sofia Str., 95123 Catania, Italy, Tel.: [phone], Fax: [phone]

autor

Palmeri A.

• Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 64 S. Sofia Str., 95123 Catania, Italy

autor

Pappalardo G.

• Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 64 S. Sofia Str., 95123 Catania, Italy

autor

Pulvirenti A.

• Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 64 S. Sofia Str., 95123 Catania, Italy
• Dipartimento di Fisica e Astronomia dell’Università di Catania, 64 S. Sofia Str., 95123 Catania, Italy, Tel.: [phone], Fax: [phone]

autor

Riggi F.

• Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 64 S. Sofia Str., 95123 Catania, Italy
• Dipartimento di Fisica e Astronomia dell’Università di Catania, 64 S. Sofia Str., 95123 Catania, Italy, Tel.: [phone], Fax: [phone]

Bibliografia

• 1. Badalà A, Barbera R, Lo Re G et al. (2002) Neural tracking in ALICE: high transverse momentum pattern recognited in the ITS stand-alone. ALICE-INT-2002-12
• 2. Badalà A, Barbera R, Lo Re G et al. (2002) Tracking inside the ALICE Inner Tracking System. Nucl Instrum Meth A 85:15−22, (ALICE-INT-2001-39)
• 3. Badalà A, Barbera R, Lo Re G et al. (2002) Vertex finding in ALICE by the use of silicon pixel layers in the inner tracking system. Nucl Instrum Meth Phys Res A 485:100−104, (ALICE-INT-2001-11)
• 4. Batyunya B, Belikov Yu, Fedunov A, Zinchenko A (1995) Track finding with neural networks in ALICE ITS. ALICE Internal Note ALICE-INT-1995-50
• 5. Batyunya B, Belikov Yu, Safarik K (1997) Kalman filtering application for track recognition and reconstruction in ALICE tracking. ALICE Experiment Internal Note ALICEINT-1997-24
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• 9. Dellacassa G, Ramello L, Scalas E et al. (for the ALICE Collaboration) (2000) ALICE technical design report of the time projection chamber. CERN/LHCC-2000-001
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