- Tytuł:
- 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. - Tematy:
-
intensity interferometry (HBT)
neural networks
pattern recognition
track reconstruction
ALICE experiment - Pokaż więcej
- Wydawca:
- Instytut Chemii i Techniki Jądrowej
- Powiązania:
- https://bibliotekanauki.pl/articles/147436.pdf  Link otwiera się w nowym oknie
- Opis:
- 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.
- Dostawca treści:
- Biblioteka Nauki
Artykuł