Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/12429| Title: | Discriminating signal from background using neural networks: Application to top-quark search at the Fermilab Tevatron |
| Author: | Ametller, Ll. Garrido Beltrán, Lluís Stimpfl-Abele, G. Talavera Sánchez, Pedro Yepes, P. |
| Keywords: | Partícules (Física nuclear) Física matemàtica Particles (Nuclear physics) Mathematical physics |
| Issue Date: | 1996 |
| Publisher: | The American Physical Society |
| Abstract: | The application of neural networks in high energy physics to the separation of signal from background events is studied. A variety of problems usually encountered in this sort of analysis, from variable selection to systematic errors, are presented. The top-quark search is used as an example to illustrate the problems and proposed solutions. |
| Note: | Reproducció digital del document publicat en format paper, proporcionada per PROLA i http://dx.doi.org/10.1103/PhysRevD.54.1233 |
| It is part of: | Physical Review D, 1996, vol. 54, núm. 1, p. 1233-1236 |
| URI: | https://hdl.handle.net/2445/12429 |
| Related resource: | http://dx.doi.org/10.1103/PhysRevD.54.1233 |
| ISSN: | 0556-2821 |
| Appears in Collections: | Articles publicats en revistes (Física Quàntica i Astrofísica) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 137397.pdf | 98.68 kB | Adobe PDF | View/Open |
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