Extracting Event Dynamics from Event-by-Event Analysis
| dc.creator | Fu, Jinghua | |
| dc.creator | Liu, Lianshou | |
| dc.date | 2003-10-28 | |
| dc.date.accessioned | 2026-07-07T11:43:27Z | |
| dc.date.available | 2026-07-07T11:43:27Z | |
| dc.description | The problem of eliminating the statistical fluctuations and extracting the event dynamics from event-by-event analysis is discussed. New moments $G_p$ (for continuous distribution), and $G_{q,p}$ (for anomalous distribution) are proposed, which are experimentally measurable and can eliminate the Poissonian type statistical fluctuations to recover the dynamical moments $C_p$ and $C_{q,p}$. In this way, the dynamical distribution of the event-averaged transverse momentum $\bar{\pt}$ can be extracted, and the anomalous scaling of dynamical distribution, if exists, can be recovered, through event-by-event analysis of experimental data. | |
| dc.description | 15 pages, 2 eps figures, Phys. Rev. C accepted | |
| dc.identifier | https://arxiv.org/abs/hep-ph/0310308 | |
| dc.identifier | http://arxiv.org/abs/hep-ph/0310308 | |
| dc.identifier | Phys.Rev.C68:064904,2003 | |
| dc.identifier | doi:10.1103/PhysRevC.68.064904 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/201241 | |
| dc.subject | High Energy Physics - Phenomenology | |
| dc.title | Extracting Event Dynamics from Event-by-Event Analysis | |
| dc.type | text |