| Title | Jet identification based on probability calculations using Bayes' theorem |
| Authors | C. Jacobsson, L. Jönsson, Georg Lindgren, M. Nyberg-Werther |
| Alternative Location | http://link.aps.org/abstrac..., Restricted Access |
| Alternative Location | http://dx.doi.org/10.1103/P... |
| Publication | Physical Review D |
| Year | 1995 |
| Volume | 52 |
| Issue | 1 |
| Pages | 162 - 174 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | AMERICAN PHYSICAL SOC, ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA |
| Abstract English | The problem of identifying jets at CERN LEP and DESY HERA is studied. Identification using jet energies and fragmentation properties is treated separately in order to investigate the degree of quark-gluon separation that can be achieved by either of these approaches. In the case of the fragmentation-based identification, a neural network is used, and a test of the dependence on the jet production process and the fragmentation model is done. Instead of working with the separation variables directly, these are used to calculate probabilities of having a specific type of jet, according to Bayes’ theorem. This offers a direct interpretation of the performance of the jet identification and provides a simple means of combining the results of the energy- and fragmentation-based identifications. |
| Keywords | LUND MONTE-CARLO, E+E-ANNIHILATION, GLUON BREMSSTRAHLUNG, HIGH-ENERGIES, FRAGMENTATION, QUARK, NETWORKS, PHYSICS, EVENTS, |
| ISBN/ISSN/Other | ISSN: 0556-2821 |
Questions: webmaster
Last update: 2013-04-11
Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)